Daily questions

Q1: A company provides a Voice over Internet Protocol (VoIP) service that uses UDP connections. The service consists of Amazon EC2 instances that run in an Auto Scaling group. The company has deployments across multiple AWS Regions. The company needs to route users to the Region with the lowest latency. The company also needs automated failover between Regions. Which solution will meet these requirements?

A. Deploy a Network Load Balancer (NLB) and an associated target group. Associate the target group with the Auto Scaling group. Use the NLB as an AWS Global Accelerator endpoint in each Region.
B. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Use the ALB as an AWS Global Accelerator endpoint in each Region.
C. Deploy a Network Load Balancer (NLB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 latency record that points to aliases for each NLB. Create an Amazon CloudFront distribution that uses the latency record as an origin.
D. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 weighted record that points to aliases for each ALB. Deploy an Amazon CloudFront distribution that uses the weighted record as an origin.

Answer: A Global Accelerator has automatic failover and is perfect for this scenario with VoIP https://aws.amazon.com/global-accelerator/faqs/

Q2: A development team runs monthly resource-intensive tests on its general-purpose Amazon RDS for MySQL DB instance with Performance Insights enabled. The testing lasts for 48 hours once a month and is the only process that uses the database. The team wants to reduce the cost of running the tests without reducing the compute and memory attributes of the DB instance. Which solution meets these requirements MOST cost-effectively?

A. Stop the DB instance when tests are completed. Restart the DB instance when required.
B. Use an Auto Scaling policy with the DB instance to automatically scale when tests are completed.
C. Create a snapshot when tests are completed. Terminate the DB instance and restore the snapshot when required.
D. Modify the DB instance to a low-capacity instance when tests are completed. Modify the DB instance again when required.

Answer C: You still pay for storage when an RDS database is stopped

Q3: A company that hosts its web application on AWS wants to ensure all Amazon EC2 instances. Amazon RDS DB instances. and Amazon Redshift clusters are configured with tags. The company wants to minimize the effort of configuring and operating this check. What should a solutions architect do to accomplish this?

A. Use AWS Config rules to define and detect resources that are not properly tagged.
B. Use Cost Explorer to display resources that are not properly tagged. Tag those resources manually.
C. Write API calls to check all resources for proper tag allocation. Periodically run the code on an EC2 instance.
D. Write API calls to check all resources for proper tag allocation. Schedule an AWS Lambda function through Amazon CloudWatch to periodically run the code.

Answer A: You can use AWS Config to create tags for your resources. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. You can use AWS Config to create rules that automatically tag resources when they are created or when their configurations change. To create tags for your resources using AWS Config, you will need to create an AWS Config rule that specifies the tag key and value you want to use and the resources you want to apply the tag to. You can then enable the rule and AWS Config will automatically apply the tag to the specified resources when they are created or when their configurations change

Q4: A development team needs to host a website that will be accessed by other teams. The website contents consist of HTML, CSS, client-side JavaScript, and images. Which method is the MOST cost-effective for hosting the website?

A. Containerize the website and host it in AWS Fargate.
B. Create an Amazon S3 bucket and host the website there.
C. Deploy a web server on an Amazon EC2 instance to host the website.
D. Configure an Application Load Balancer with an AWS Lambda target that uses the Express.js framework.

Answer B: client-side JavaScript. the website is static, so it must be S3.

Q5: A company runs an online marketplace web application on AWS. The application serves hundreds of thousands of users during peak hours. The company needs a scalable, near-real-time solution to share the details of millions of financial transactions with several other internal applications. Transactions also need to be processed to remove sensitive data before being stored in a document database for low-latency retrieval.
What should a solutions architect recommend to meet these requirements?

A. Store the transactions data into Amazon DynamoDB. Set up a rule in DynamoDB to remove sensitive data from every transaction upon write. Use DynamoDB Streams to share the transactions data with other applications.
B. Stream the transactions data into Amazon Kinesis Data Firehose to store data in Amazon DynamoDB and Amazon S3. Use AWS Lambda integration with Kinesis Data Firehose to remove sensitive data. Other applications can consume the data stored in Amazon S3.
C. Stream the transactions data into Amazon Kinesis Data Streams. Use AWS Lambda integration to remove sensitive data from every transaction and then store the transactions data in Amazon DynamoDB. Other applications can consume the transactions data off the Kinesis data stream.
D. Store the batched transactions data in Amazon S3 as files. Use AWS Lambda to process every file and remove sensitive data before updating the files in Amazon S3. The Lambda function then stores the data in Amazon DynamoDB. Other applications can consume transaction files stored in Amazon S3. Answer C The tricky phrase is "near-real-time solution", pointing to Firehouse, but it can't send data to DynamoDB, so it leaves us with C as best option. Kinesis Data Firehose currently supports Amazon S3, Amazon Redshift, Amazon OpenSearch Service, Splunk, Datadog, NewRelic, Dynatrace, Sumologic, LogicMonitor, MongoDB, and HTTP End Point as destinations. https://aws.amazon.com/kinesis/data-firehose/faqs/#:~:text=Kinesis%20Data%20Firehose%20currently%20supports,HTTP%20End%20Point%20as%20destinations.

Q6: A company hosts its multi-tier applications on AWS. For compliance, governance, auditing, and security, the company must track configuration changes on its AWS resources and record a history of API calls made to these resources.
What should a solutions architect do to meet these requirements?

A. Use AWS CloudTrail to track configuration changes and AWS Config to record API calls.
B. Use AWS Config to track configuration changes and AWS CloudTrail to record API calls. Most Voted
C. Use AWS Config to track configuration changes and Amazon CloudWatch to record API calls.
D. Use AWS CloudTrail to track configuration changes and Amazon CloudWatch to record API calls. Answer B:
CloudTrail - Track user activity and API call history.
Config - Assess, audits, and evaluates the configuration and relationships of tag resources.

Q7: A company is preparing to launch a public-facing web application in the AWS Cloud. The architecture consists of Amazon EC2 instances within a VPC behind an Elastic Load Balancer (ELB). A third-party service is used for the DNS. The company's solutions architect must recommend a solution to detect and protect against large-scale DDoS attacks.
Which solution meets these requirements?

A. Enable Amazon GuardDuty on the account.
B. Enable Amazon Inspector on the EC2 instances.
C. Enable AWS Shield and assign Amazon Route 53 to it.
D. Enable AWS Shield Advanced and assign the ELB to it

Q8: A company is building an application in the AWS Cloud. The application will store data in Amazon S3 buckets in two AWS Regions. The company must use an AWS Key Management Service (AWS KMS) customer managed key to encrypt all data that is stored in the S3 buckets. The data in both S3 buckets must be encrypted and decrypted with the same KMS key. The data and the key must be stored in each of the two Regions.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an S3 bucket in each Region. Configure the S3 buckets to use server-side encryption with Amazon S3 managed encryption keys (SSE-S3). Configure replication between the S3 buckets.
B. Create a customer managed multi-Region KMS key. Create an S3 bucket in each Region. Configure replication between the S3 buckets. Configure the application to use the KMS key with client-side encryption.
C. Create a customer managed KMS key and an S3 bucket in each Region. Configure the S3 buckets to use server-side encryption with Amazon S3 managed encryption keys (SSE-S3). Configure replication between the S3 buckets.
D. Create a customer managed KMS key and an S3 bucket in each Region. Configure the S3 buckets to use server-side encryption with AWS KMS keys (SSE-KMS). Configure replication between the S3 buckets.

Explain: KMS Multi-region keys are required https://docs.aws.amazon.com/kms/latest/developerguide/multi-region-keys-overview.html

Q9: A company recently launched a variety of new workloads on Amazon EC2 instances in its AWS account. The company needs to create a strategy to access and administer the instances remotely and securely. The company needs to implement a repeatable process that works with native AWS services and follows the AWS Well-Architected Framework.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use the EC2 serial console to directly access the terminal interface of each instance for administration.
B. Attach the appropriate IAM role to each existing instance and new instance. Use AWS Systems Manager Session Manager to establish a remote SSH session.
C. Create an administrative SSH key pair. Load the public key into each EC2 instance. Deploy a bastion host in a public subnet to provide a tunnel for administration of each instance.
D. Establish an AWS Site-to-Site VPN connection. Instruct administrators to use their local on-premises machines to connect directly to the instances by using SSH keys across the VPN tunnel. Explain: How can Session Manager benefit my organization? Ans: No open inbound ports and no need to manage bastion hosts or SSH keys https://docs.aws.amazon.com/systems-manager/latest/userguide/session-manager.html

Q10: A company is hosting a static website on Amazon S3 and is using Amazon Route 53 for DNS. The website is experiencing increased demand from around the world. The company must decrease latency for users who access the website.
Which solution meets these requirements MOST cost-effectively?

A. Replicate the S3 bucket that contains the website to all AWS Regions. Add Route 53 geolocation routing entries.
B. Provision accelerators in AWS Global Accelerator. Associate the supplied IP addresses with the S3 bucket. Edit the Route 53 entries to point to the IP addresses of the accelerators.
C. Add an Amazon CloudFront distribution in front of the S3 bucket. Edit the Route 53 entries to point to the CloudFront distribution.
D. Enable S3 Transfer Acceleration on the bucket. Edit the Route 53 entries to point to the new endpoint.

Explain: S3 static website so CloudFront is the best CDN solution for low cost and low latency

Q11: A company maintains a searchable repository of items on its website. The data is stored in an Amazon RDS for MySQL database table that contains more than 10 million rows. The database has 2 TB of General Purpose SSD storage. There are millions of updates against this data every day through the company's website.
The company has noticed that some insert operations are taking 10 seconds or longer. The company has determined that the database storage performance is the problem.
Which solution addresses this performance issue?

A. Change the storage type to Provisioned IOPS SSD.
B. Change the DB instance to a memory optimized instance class.
C. Change the DB instance to a burstable performance instance class.
D. Enable Multi-AZ RDS read replicas with MySQL native asynchronous replication. Explain: Option B (changing the DB instance to a memory optimized instance class) focuses on improving memory capacity but may not directly address the storage performance issue. Option C (changing the DB instance to a burstable performance instance class) is suitable for workloads with varying usage patterns and burstable performance needs, but it may not provide consistent and predictable performance for heavy write workloads. Option D (enabling Multi-AZ RDS read replicas with MySQL native asynchronous replication) is a solution for high availability and read scaling but does not directly address the storage performance issue. Therefore, option A is the most appropriate solution to address the performance issue by leveraging Provisioned IOPS SSD storage type, which provides consistent and predictable I/O performance for the Amazon RDS for MySQL database.

Q12: A company has thousands of edge devices that collectively generate 1 TB of status alerts each day. Each alert is approximately 2 KB in size. A solutions architect needs to implement a solution to ingest and store the alerts for future analysis.
The company wants a highly available solution. However, the company needs to minimize costs and does not want to manage additional infrastructure. Additionally, the company wants to keep 14 days of data available for immediate analysis and archive any data older than 14 days.
What is the MOST operationally efficient solution that meets these requirements?

A. Create an Amazon Kinesis Data Firehose delivery stream to ingest the alerts. Configure the Kinesis Data Firehose stream to deliver the alerts to an Amazon S3 bucket. Set up an S3 Lifecycle configuration to transition data to Amazon S3 Glacier after 14 days.
B. Launch Amazon EC2 instances across two Availability Zones and place them behind an Elastic Load Balancer to ingest the alerts. Create a script on the EC2 instances that will store the alerts in an Amazon S3 bucket. Set up an S3 Lifecycle configuration to transition data to Amazon S3 Glacier after 14 days.
C. Create an Amazon Kinesis Data Firehose delivery stream to ingest the alerts. Configure the Kinesis Data Firehose stream to deliver the alerts to an Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster. Set up the Amazon OpenSearch Service (Amazon Elasticsearch Service) cluster to take manual snapshots every day and delete data from the cluster that is older than 14 days.
D. Create an Amazon Simple Queue Service (Amazon SQS) standard queue to ingest the alerts, and set the message retention period to 14 days. Configure consumers to poll the SQS queue, check the age of the message, and analyze the message data as needed. If the message is 14 days old, the consumer should copy the message to an Amazon S3 bucket and delete the message from the SQS queue.

Explain: Definitely A, it's the most operationally efficient compared to D, which requires a lot of code and infrastructure to maintain. A is mostly managed (firehose is fully managed and S3 lifecycles are also managed)

Q13: A company runs a highly available image-processing application on Amazon EC2 instances in a single VPC. The EC2 instances run inside several subnets across multiple Availability Zones. The EC2 instances do not communicate with each other. However, the EC2 instances download images from Amazon S3 and upload images to Amazon S3 through a single NAT gateway. The company is concerned about data transfer charges.
What is the MOST cost-effective way for the company to avoid Regional data transfer charges?

A. Launch the NAT gateway in each Availability Zone.
B. Replace the NAT gateway with a NAT instance.
C. Deploy a gateway VPC endpoint for Amazon S3.
D. Provision an EC2 Dedicated Host to run the EC2 instances.

Explain: Deploying a gateway VPC endpoint for Amazon S3 is the most cost-effective way for the company to avoid Regional data transfer charges. A gateway VPC endpoint is a network gateway that allows communication between instances in a VPC and a service, such as Amazon S3, without requiring an Internet gateway or a NAT device. Data transfer between the VPC and the service through a gateway VPC endpoint is free of charge, while data transfer between the VPC and the Internet through an Internet gateway or NAT device is subject to data transfer charges. By using a gateway VPC endpoint, the company can reduce its data transfer costs by eliminating the need to transfer data through the NAT gateway to access Amazon S3. This option would provide the required connectivity to Amazon S3 and minimize data transfer charges.

Q14: A company has an on-premises application that generates a large amount of time-sensitive data that is backed up to Amazon S3. The application has grown and there are user complaints about internet bandwidth limitations. A solutions architect needs to design a long-term solution that allows for both timely backups to Amazon S3 and with minimal impact on internet connectivity for internal users.
Which solution meets these requirements?

A. Establish AWS VPN connections and proxy all traffic through a VPC gateway endpoint.
B. Establish a new AWS Direct Connect connection and direct backup traffic through this new connection.
C. Order daily AWS Snowball devices. Load the data onto the Snowball devices and return the devices to AWS each day.
D. Submit a support ticket through the AWS Management Console. Request the removal of S3 service limits from the account. Explain: A: VPN also goes through the internet and uses the bandwidth C: daily Snowball transfer is not really a long-term solution when it comes to cost and efficiency D: S3 limits don't change anything here So the answer is B

Q15: A company has an Amazon S3 bucket that contains critical data. The company must protect the data from accidental deletion.
Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)

A. Enable versioning on the S3 bucket.
B. Enable MFA Delete on the S3 bucket.
C. Create a bucket policy on the S3 bucket.
D. Enable default encryption on the S3 bucket.
E. Create a lifecycle policy for the objects in the S3 bucket.

Explain: The correct solution is AB, as you can see here: https://aws.amazon.com/it/premiumsupport/knowledge-center/s3-audit-deleted-missing-objects/ It states the following: To prevent or mitigate future accidental deletions, consider the following features:

Enable versioning to keep historical versions of an object.
Enable Cross-Region Replication of objects.
Enable MFA delete to require multi-factor authentication (MFA) when deleting an object version.

Q16: A company has a data ingestion workflow that consists of the following:
• An Amazon Simple Notification Service (Amazon SNS) topic for notifications about new data deliveries
• An AWS Lambda function to process the data and record metadata
The company observes that the ingestion workflow fails occasionally because of network connectivity issues. When such a failure occurs, the Lambda function does not ingest the corresponding data unless the company manually reruns the job.
Which combination of actions should a solutions architect take to ensure that the Lambda function ingests all data in the future? (Choose two.)

Explain: BE is correct as SQS ensures the messages are stored in a queue for processing. A: No issue with Lambda availability so this solution is wrong C: No issues with CPU or memory so no value added by this step also D: This is not a provisioning issue so provisioning more Lambda won't solve the re-execution issues. The missed messages will still be lost

Q17: A company has an application that provides marketing services to stores. The services are based on previous purchases by store customers. The stores upload transaction data to the company through SFTP, and the data is processed and analyzed to generate new marketing offers. Some of the files can exceed 200 GB in size.
Recently, the company discovered that some of the stores have uploaded files that contain personally identifiable information (PII) that should not have been included. The company wants administrators to be alerted if PII is shared again. The company also wants to automate remediation.
What should a solutions architect do to meet these requirements with the LEAST development effort?

A. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Inspector to scan the objects in the bucket. If objects contain PII, trigger an S3 Lifecycle policy to remove the objects that contain PII.
B. Use an Amazon S3 bucket as a secure transfer point. Use Amazon Macie to scan the objects in the bucket. If objects contain PII, use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects that contain PII. Most Voted
C. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. If objects contain PII, use Amazon Simple Notification Service (Amazon SNS) to trigger a notification to the administrators to remove the objects that contain PII.
D. Implement custom scanning algorithms in an AWS Lambda function. Trigger the function when objects are loaded into the bucket. If objects contain PII, use Amazon Simple Email Service (Amazon SES) to trigger a notification to the administrators and trigger an S3 Lifecycle policy to remove the meats that contain PII.

Q18 A company needs guaranteed Amazon EC2 capacity in three specific Availability Zones in a specific AWS Region for an upcoming event that will last 1 week.
What should the company do to guarantee the EC2 capacity?

A. Purchase Reserved Instances that specify the Region needed.
B. Create an On-Demand Capacity Reservation that specifies the Region needed.
C. Purchase Reserved Instances that specify the Region and three Availability Zones needed.
D. Create an On-Demand Capacity Reservation that specifies the Region and three Availability Zones needed Explain: Option D. Create an On-Demand Capacity Reservation that specifies the Region and three Availability Zones needed. An On-Demand Capacity Reservation is a type of Amazon EC2 reservation that enables you to create and manage reserved capacity on Amazon EC2. With an On-Demand Capacity Reservation, you can specify the Region and Availability Zones where you want to reserve capacity, and the number of EC2 instances you want to reserve. This allows you to guarantee capacity in specific Availability Zones in a specific Region.

Q19: A company's website uses an Amazon EC2 instance store for its catalog of items. The company wants to make sure that the catalog is highly available and that the catalog is stored in a durable location.
What should a solutions architect do to meet these requirements?

A. Move the catalog to Amazon ElastiCache for Redis.
B. Deploy a larger EC2 instance with a larger instance store.
C. Move the catalog from the instance store to Amazon S3 Glacier Deep Archive.
D. Move the catalog to an Amazon Elastic File System (Amazon EFS) file system. Explain: keyword is "durable" A and B are ephemeral storage C takes time to retrieve so is not HA, that leaves D

Q20: A company stores call transcript files on a monthly basis. Users access the files randomly within 1 year of the call, but users access the files infrequently after 1 year. The company wants to optimize its solution by giving users the ability to query and retrieve files that are less than 1-year-old as quickly as possible. A delay in retrieving older files is acceptable.
Which solution will meet these requirements MOST cost-effectively?

A. Store individual files with tags in Amazon S3 Glacier Instant Retrieval. Query the tags to retrieve the files from S3 Glacier Instant Retrieval.
B. Store individual files in Amazon S3 Intelligent-Tiering. Use S3 Lifecycle policies to move the files to S3 Glacier Flexible Retrieval after 1 year. Query and retrieve the files that are in Amazon S3 by using Amazon Athena. Query and retrieve the files that are in S3 Glacier by using S3 Glacier Select.
C. Store individual files with tags in Amazon S3 Standard storage. Store search metadata for each archive in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Instant Retrieval after 1 year. Query and retrieve the files by searching for metadata from Amazon S3.
D. Store individual files in Amazon S3 Standard storage. Use S3 Lifecycle policies to move the files to S3 Glacier Deep Archive after 1 year. Store search metadata in Amazon RDS. Query the files from Amazon RDS. Retrieve the files from S3 Glacier Deep Archive. Explain:
Amazon S3 Intelligent-Tiering automatically moves objects between two access tiers (frequent and infrequent access) based on changing access patterns, which optimizes costs when files are accessed less frequently within the first year.
S3 Glacier Flexible Retrieval is cost-effective for long-term storage and is suitable for files accessed infrequently after 1 year, with acceptable retrieval delays.
S3 Lifecycle policies can automate the transition of files to Glacier Flexible Retrieval after 1 year, reducing operational overhead.
Using Amazon Athena to query and retrieve files from S3 allows for easy access to files within the first year, while S3 Glacier Select enables querying data directly from Glacier for older files, further optimizing costs for rare access.

This option balances performance for files accessed frequently within the first year with cost-efficiency for long-term storage after the first year.

Q21: A company has a production workload that runs on 1,000 Amazon EC2 Linux instances. The workload is powered by third-party software. The company needs to patch the third-party software on all EC2 instances as quickly as possible to remediate a critical security vulnerability.
What should a solutions architect do to meet these requirements?

A. Create an AWS Lambda function to apply the patch to all EC2 instances.
B. Configure AWS Systems Manager Patch Manager to apply the patch to all EC2 instances.
C. Schedule an AWS Systems Manager maintenance window to apply the patch to all EC2 instances.
D. Use AWS Systems Manager Run Command to run a custom command that applies the patch to all EC2 instances.

Q22: A company is developing an application that provides order shipping statistics for retrieval by a REST API. The company wants to extract the shipping statistics, organize the data into an easy-to-read HTML format, and send the report to several email addresses at the same time every morning.
Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)

A. Configure the application to send the data to Amazon Kinesis Data Firehose.
B. Use Amazon Simple Email Service (Amazon SES) to format the data and to send the report by email.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Glue job to query the application's API for the data.
D. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Lambda function to query the application's API for the data.
E. Store the application data in Amazon S3. Create an Amazon Simple Notification Service (Amazon SNS) topic as an S3 event destination to send the report by email. Explain: When you send an email with Amazon SES, the email information you need to provide depends on how you call Amazon SES. You can provide a minimal amount of information and have Amazon SES take care of all of the formatting for you. Or, if you want to do something more advanced like send an attachment, you can provide the raw message yourself. https://docs.aws.amazon.com/ses/latest/dg/send-email-concepts-email-format.html

Q23: A company is developing an application that provides order shipping statistics for retrieval by a REST API. The company wants to extract the shipping statistics, organize the data into an easy-to-read HTML format, and send the report to several email addresses at the same time every morning.
Which combination of steps should a solutions architect take to meet these requirements? (Choose two.)

A. Configure the application to send the data to Amazon Kinesis Data Firehose.
B. Use Amazon Simple Email Service (Amazon SES) to format the data and to send the report by email.
C. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Glue job to query the application's API for the data.
D. Create an Amazon EventBridge (Amazon CloudWatch Events) scheduled event that invokes an AWS Lambda function to query the application's API for the data.
E. Store the application data in Amazon S3. Create an Amazon Simple Notification Service (Amazon SNS) topic as an S3 event destination to send the report by email. Explain:
You can use SES to format the report in HTML. https://docs.aws.amazon.com/ses/latest/dg/send-email-formatted.html
EventBridge can be used to schedule regular invocations of a Lambda function that retrieves the required data from the application's API. This step sets up the process to collect the data at the specified time every morning. Q24: A company wants to migrate its on-premises application to AWS. The application produces output files that vary in size from tens of gigabytes to hundreds of terabytes. The application data must be stored in a standard file system structure. The company wants a solution that scales automatically. is highly available, and requires minimum operational overhead.
Which solution will meet these requirements?
A. Migrate the application to run as containers on Amazon Elastic Container Service (Amazon ECS). Use Amazon S3 for storage.
B. Migrate the application to run as containers on Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon Elastic Block Store (Amazon EBS) for storage.
C. Migrate the application to Amazon EC2 instances in a Multi-AZ Auto Scaling group. Use Amazon Elastic File System (Amazon EFS) for storage.
D. Migrate the application to Amazon EC2 instances in a Multi-AZ Auto Scaling group. Use Amazon Elastic Block Store (Amazon EBS) for storage.

Explain: EFS is a standard file system, it scales automatically and is highly available.

Q25: A company needs to store its accounting records in Amazon S3. The records must be immediately accessible for 1 year and then must be archived for an additional 9 years. No one at the company, including administrative users and root users, can be able to delete the records during the entire 10-year period. The records must be stored with maximum resiliency.
Which solution will meet these requirements?

A. Store the records in S3 Glacier for the entire 10-year period. Use an access control policy to deny deletion of the records for a period of 10 years.
B. Store the records by using S3 Intelligent-Tiering. Use an IAM policy to deny deletion of the records. After 10 years, change the IAM policy to allow deletion.
C. Use an S3 Lifecycle policy to transition the records from S3 Standard to S3 Glacier Deep Archive after 1 year. Use S3 Object Lock in compliance mode for a period of 10 years.
D. Use an S3 Lifecycle policy to transition the records from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 1 year. Use S3 Object Lock in governance mode for a period of 10 years.

Explain: The S3 Lifecycle policy transitions the data to Glacier Deep Archive after 1 year for long-term archival. S3 Object Lock in compliance mode prevents any user from deleting or overwriting objects for the specified retention period. Glacier Deep Archive provides very high durability and the lowest storage cost for long-term archival. Compliance mode ensures no one can override or change the retention settings even if policies change. This meets all the requirements - immediate access for 1 year, archived for 9 years, unable to delete for 10 years, maximum resiliency

Q26: A company runs multiple Windows workloads on AWS. The company's employees use Windows file shares that are hosted on two Amazon EC2 instances. The file shares synchronize data between themselves and maintain duplicate copies. The company wants a highly available and durable storage solution that preserves how users currently access the files.
What should a solutions architect do to meet these requirements?

A. Migrate all the data to Amazon S3. Set up IAM authentication for users to access files.
B. Set up an Amazon S3 File Gateway. Mount the S3 File Gateway on the existing EC2 instances.
C. Extend the file share environment to Amazon FSx for Windows File Server with a Multi-AZ configuration. Migrate all the data to FSx for Windows File Server.
D. Extend the file share environment to Amazon Elastic File System (Amazon EFS) with a Multi-AZ configuration. Migrate all the data to Amazon EFS. Explain: EFS is not supported on Windows instances https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/AmazonEFS.html Amazon FSx for Windows File Server provides fully managed Microsoft Windows file servers, backed by a fully native Windows file system. https://docs.aws.amazon.com/fsx/latest/WindowsGuide/what-is.html

Q27: A solutions architect is developing a VPC architecture that includes multiple subnets. The architecture will host applications that use Amazon EC2 instances and Amazon RDS DB instances. The architecture consists of six subnets in two Availability Zones. Each Availability Zone includes a public subnet, a private subnet, and a dedicated subnet for databases. Only EC2 instances that run in the private subnets can have access to the RDS databases.
Which solution will meet these requirements?

A. Create a new route table that excludes the route to the public subnets' CIDR blocks. Associate the route table with the database subnets.
B. Create a security group that denies inbound traffic from the security group that is assigned to instances in the public subnets. Attach the security group to the DB instances.
C. Create a security group that allows inbound traffic from the security group that is assigned to instances in the private subnets. Attach the security group to the DB instances.
D. Create a new peering connection between the public subnets and the private subnets. Create a different peering connection between the private subnets and the database subnets. Q28: A company is running a popular social media website. The website gives users the ability to upload images to share with other users. The company wants to make sure that the images do not contain inappropriate content. The company needs a solution that minimizes development effort.
What should a solutions architect do to meet these requirements?
A. Use Amazon Comprehend to detect inappropriate content. Use human review for low-confidence predictions.
B. Use Amazon Rekognition to detect inappropriate content. Use human review for low-confidence predictions.
C. Use Amazon SageMaker to detect inappropriate content. Use ground truth to label low-confidence predictions.
D. Use AWS Fargate to deploy a custom machine learning model to detect inappropriate content. Use ground truth to label low-confidence predictions.

Explain: Option B is indeed the best solution for this scenario. Let's break down why:

Amazon Rekognition: This is a purpose-built service for image and video analysis, including content moderation. It's designed to detect inappropriate content in images, which perfectly fits the company's needs.
Minimizes development effort: Rekognition is a fully managed service, meaning the company doesn't need to build, train, or maintain their own machine learning models. This significantly reduces development effort compared to other options.
Human review for low-confidence predictions: This approach allows for a balance between automation and accuracy. Most content can be automatically moderated, while edge cases are handled by human reviewers, ensuring high overall accuracy. The other options are less suitable:
A: Amazon Comprehend is primarily for text analysis, not image content moderation.
C: Amazon SageMaker would require more development effort to build and train a custom model.
D: Using AWS Fargate to deploy a custom ML model would require the most development effort and ongoing maintenance. By choosing Amazon Rekognition, the company can quickly implement an effective content moderation system with minimal development work, meeting both their functional requirements and their desire to minimize effort.

The pricing of Rekognition service Image Analysis:
$1.00 per 1,000 images processed
The first 1 million images processed per month are free (as part of the AWS Free Tier) Video Analysis:
$0.10 per minute of video processed
The first 1,000 minutes of video processed per month are free (as part of the AWS Free Tier) Storage:
There are no additional charges for data storage. You only pay for the images or videos you analyze.

Q29: A company wants to run its critical applications in containers to meet requirements for scalability and availability. The company prefers to focus on maintenance of the critical applications. The company does not want to be responsible for provisioning and managing the underlying infrastructure that runs the containerized workload.
What should a solutions architect do to meet these requirements?

A. Use Amazon EC2 instances, and install Docker on the instances.
B. Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 worker nodes.
C. Use Amazon Elastic Container Service (Amazon ECS) on AWS Fargate.
D. Use Amazon EC2 instances from an Amazon Elastic Container Service (Amazon ECS)-optimized Amazon Machine Image (AMI). Explain: Option C (Amazon ECS on AWS Fargate) is the best choice because:
It runs containerized applications, meeting the scalability and availability requirements.
Fargate is serverless, so the company doesn't need to provision or manage any underlying infrastructure.
It allows the company to focus solely on maintaining their critical applications.
AWS handles all infrastructure management, including scaling, patching, and capacity provisioning.
It provides a fully managed container environment with less operational overhead. This solution best aligns with the company's desire to run containerized workloads while avoiding responsibility for infrastructure management. Q30: A company hosts more than 300 global websites and applications. The company requires a platform to analyze more than 30 TB of clickstream data each day.
What should a solutions architect do to transmit and process the clickstream data?
A. Design an AWS Data Pipeline to archive the data to an Amazon S3 bucket and run an Amazon EMR cluster with the data to generate analytics.
B. Create an Auto Scaling group of Amazon EC2 instances to process the data and send it to an Amazon S3 data lake for Amazon Redshift to use for analysis.
C. Cache the data to Amazon CloudFront. Store the data in an Amazon S3 bucket. When an object is added to the S3 bucket. run an AWS Lambda function to process the data for analysis.
D. Collect the data from Amazon Kinesis Data Streams. Use Amazon Kinesis Data Firehose to transmit the data to an Amazon S3 data lake. Load the data in Amazon Redshift for analysis. Explain: Option D is the most appropriate solution for transmitting and processing the clickstream data in this scenario. Amazon Kinesis Data Streams is a highly scalable and durable service that enables real-time processing of streaming data at a high volume and high rate. You can use Kinesis Data Streams to collect and process the clickstream data in real-time. Amazon Kinesis Data Firehose is a fully managed service that loads streaming data into data stores and analytics tools. You can use Kinesis Data Firehose to transmit the data from Kinesis Data Streams to an Amazon S3 data lake. Once the data is in the data lake, you can use Amazon Redshift to load the data and perform analysis on it. Amazon Redshift is a fully managed, petabyte-scale data warehouse service that allows you to quickly and efficiently analyze data using SQL and your existing business intelligence tools.

Q31: A company has a website hosted on AWS. The website is behind an Application Load Balancer (ALB) that is configured to handle HTTP and HTTPS separately. The company wants to forward all requests to the website so that the requests will use HTTPS.
What should a solutions architect do to meet this requirement?

A. Update the ALB's network ACL to accept only HTTPS traffic.
B. Create a rule that replaces the HTTP in the URL with HTTPS.
C. Create a listener rule on the ALB to redirect HTTP traffic to HTTPS.
D. Replace the ALB with a Network Load Balancer configured to use Server Name Indication (SNI). Explain: C. Create a listener rule on the ALB to redirect HTTP traffic to HTTPS. To meet the requirement of forwarding all requests to the website so that the requests will use HTTPS, a solutions architect can create a listener rule on the ALB that redirects HTTP traffic to HTTPS. This can be done by creating a rule with a condition that matches all HTTP traffic and a rule action that redirects the traffic to the HTTPS listener. The HTTPS listener should already be configured to accept HTTPS traffic and forward it to the target group.

Q32: A company is developing a two-tier web application on AWS. The company's developers have deployed the application on an Amazon EC2 instance that connects directly to a backend Amazon RDS database. The company must not hardcode database credentials in the application. The company must also implement a solution to automatically rotate the database credentials on a regular basis.
Which solution will meet these requirements with the LEAST operational overhead?

A. Store the database credentials in the instance metadata. Use Amazon EventBridge (Amazon CloudWatch Events) rules to run a scheduled AWS Lambda function that updates the RDS credentials and instance metadata at the same time.
B. Store the database credentials in a configuration file in an encrypted Amazon S3 bucket. Use Amazon EventBridge (Amazon CloudWatch Events) rules to run a scheduled AWS Lambda function that updates the RDS credentials and the credentials in the configuration file at the same time. Use S3 Versioning to ensure the ability to fall back to previous values.
C. Store the database credentials as a secret in AWS Secrets Manager. Turn on automatic rotation for the secret. Attach the required permission to the EC2 role to grant access to the secret.
D. Store the database credentials as encrypted parameters in AWS Systems Manager Parameter Store. Turn on automatic rotation for the encrypted parameters. Attach the required permission to the EC2 role to grant access to the encrypted parameters. Explain: Secrets manager supports auto rotation.

Q33: A company is deploying a new public web application to AWS. The application will run behind an Application Load Balancer (ALB). The application needs to be encrypted at the edge with an SSL/TLS certificate that is issued by an external certificate authority (CA). The certificate must be rotated each year before the certificate expires.
What should a solutions architect do to meet these requirements?

A. Use AWS Certificate Manager (ACM) to issue an SSL/TLS certificate. Apply the certificate to the ALB. Use the managed renewal feature to automatically rotate the certificate.
B. Use AWS Certificate Manager (ACM) to issue an SSL/TLS certificate. Import the key material from the certificate. Apply the certificate to the ALUse the managed renewal feature to automatically rotate the certificate.
C. Use AWS Certificate Manager (ACM) Private Certificate Authority to issue an SSL/TLS certificate from the root CA. Apply the certificate to the ALB. Use the managed renewal feature to automatically rotate the certificate.
D. Use AWS Certificate Manager (ACM) to import an SSL/TLS certificate. Apply the certificate to the ALB. Use Amazon EventBridge (Amazon CloudWatch Events) to send a notification when the certificate is nearing expiration. Rotate the certificate manually. Explain: It's a third-party certificate, hence AWS cannot manage renewal automatically. The closest thing you can do is to send a notification to renew the 3rd party certificate.

Q34: A company runs its infrastructure on AWS and has a registered base of 700,000 users for its document management application. The company intends to create a product that converts large .pdf files to .jpg image files. The .pdf files average 5 MB in size. The company needs to store the original files and the converted files. A solutions architect must design a scalable solution to accommodate demand that will grow rapidly over time.
Which solution meets these requirements MOST cost-effectively?

A. Save the .pdf files to Amazon S3. Configure an S3 PUT event to invoke an AWS Lambda function to convert the files to .jpg format and store them back in Amazon S3.
B. Save the .pdf files to Amazon DynamoDUse the DynamoDB Streams feature to invoke an AWS Lambda function to convert the files to .jpg format and store them back in DynamoDB.
C. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic Block Store (Amazon EBS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the files to .jpg format. Save the .pdf files and the .jpg files in the EBS store.
D. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic File System (Amazon EFS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the file to .jpg format. Save the .pdf files and the .jpg files in the EBS store.

Q35: A company runs its infrastructure on AWS and has a registered base of 700,000 users for its document management application. The company intends to create a product that converts large .pdf files to .jpg image files. The .pdf files average 5 MB in size. The company needs to store the original files and the converted files. A solutions architect must design a scalable solution to accommodate demand that will grow rapidly over time.
Which solution meets these requirements MOST cost-effectively?

A. Save the .pdf files to Amazon S3. Configure an S3 PUT event to invoke an AWS Lambda function to convert the files to .jpg format and store them back in Amazon S3.
B. Save the .pdf files to Amazon DynamoDUse the DynamoDB Streams feature to invoke an AWS Lambda function to convert the files to .jpg format and store them back in DynamoDB.
C. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic Block Store (Amazon EBS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the files to .jpg format. Save the .pdf files and the .jpg files in the EBS store.
D. Upload the .pdf files to an AWS Elastic Beanstalk application that includes Amazon EC2 instances, Amazon Elastic File System (Amazon EFS) storage, and an Auto Scaling group. Use a program in the EC2 instances to convert the file to .jpg format. Save the .pdf files and the .jpg files in the EBS store. Explain: Option A. Elastic BeanStalk is expensive, and DocumentDB has a 400KB max to upload files. So Lambda and S3 should be the one.

Q36: A company has more than 5 TB of file data on Windows file servers that run on premises. Users and applications interact with the data each day.
The company is moving its Windows workloads to AWS. As the company continues this process, the company requires access to AWS and on-premises file storage with minimum latency. The company needs a solution that minimizes operational overhead and requires no significant changes to the existing file access patterns. The company uses an AWS Site-to-Site VPN connection for connectivity to AWS.
What should a solutions architect do to meet these requirements?

A. Deploy and configure Amazon FSx for Windows File Server on AWS. Move the on-premises file data to FSx for Windows File Server. Reconfigure the workloads to use FSx for Windows File Server on AWS.
B. Deploy and configure an Amazon S3 File Gateway on premises. Move the on-premises file data to the S3 File Gateway. Reconfigure the on-premises workloads and the cloud workloads to use the S3 File Gateway.
C. Deploy and configure an Amazon S3 File Gateway on premises. Move the on-premises file data to Amazon S3. Reconfigure the workloads to use either Amazon S3 directly or the S3 File Gateway. depending on each workload's location.
D. Deploy and configure Amazon FSx for Windows File Server on AWS. Deploy and configure an Amazon FSx File Gateway on premises. Move the on-premises file data to the FSx File Gateway. Configure the cloud workloads to use FSx for Windows File Server on AWS. Configure the on-premises workloads to use the FSx File Gateway.

Explain:

FSx for Windows File Server: Provides native Windows file system on AWS, compatible with existing Windows workloads.
FSx File Gateway: Acts as a local cache for frequently accessed data, minimizing latency for on-premises access.
Minimal changes: Allows existing file access patterns to remain largely unchanged.
Low latency: On-premises users access the local FSx File Gateway, while cloud workloads directly use FSx for Windows File Server.
Operational efficiency: Fully managed service reduces operational overhead.
Seamless integration: Works well with existing VPN connection. This solution provides a hybrid setup that meets both on-premises and cloud access requirements with minimal disruption and low latency, while leveraging AWS managed services to reduce operational burden.

Q37: A hospital recently deployed a RESTful API with Amazon API Gateway and AWS Lambda. The hospital uses API Gateway and Lambda to upload reports that are in PDF format and JPEG format. The hospital needs to modify the Lambda code to identify protected health information (PHI) in the reports.
Which solution will meet these requirements with the LEAST operational overhead?

A. Use existing Python libraries to extract the text from the reports and to identify the PHI from the extracted text.
B. Use Amazon Textract to extract the text from the reports. Use Amazon SageMaker to identify the PHI from the extracted text.
C. Use Amazon Textract to extract the text from the reports. Use Amazon Comprehend Medical to identify the PHI from the extracted text.
D. Use Amazon Rekognition to extract the text from the reports. Use Amazon Comprehend Medical to identify the PHI from the extracted text. Explain: The option C would be the most efficient solution as it would involve the least operational overhead.
Textract is specifically designed for extracting text from documents.
Comprehend Medical is a fully managed service that can accurately identify PHI in medical text.
This solution would require minimal maintenance and would not incur any additional costs beyond the usage fees for Textract and Comprehend Medical.

Q38: A company has an application that generates a large number of files, each approximately 5 MB in size. The files are stored in Amazon S3. Company policy requires the files to be stored for 4 years before they can be deleted. Immediate accessibility is always required as the files contain critical business data that is not easy to reproduce. The files are frequently accessed in the first 30 days of the object creation but are rarely accessed after the first 30 days.
Which storage solution is MOST cost-effective?

A. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Glacier 30 days from object creation. Delete the files 4 years after object creation.
B. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) 30 days from object creation. Delete the files 4 years after object creation.
C. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation. Delete the files 4 years after object creation.
D. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation. Move the files to S3 Glacier 4 years after object creation.

Q39: A company has an application that generates a large number of files, each approximately 5 MB in size. The files are stored in Amazon S3. Company policy requires the files to be stored for 4 years before they can be deleted. Immediate accessibility is always required as the files contain critical business data that is not easy to reproduce. The files are frequently accessed in the first 30 days of the object creation but are rarely accessed after the first 30 days.
Which storage solution is MOST cost-effective?

A. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Glacier 30 days from object creation. Delete the files 4 years after object creation. Most Voted
B. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 One Zone-Infrequent Access (S3 One Zone-IA) 30 days from object creation. Delete the files 4 years after object creation.
C. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation. Delete the files 4 years after object creation.
D. Create an S3 bucket lifecycle policy to move files from S3 Standard to S3 Standard-Infrequent Access (S3 Standard-IA) 30 days from object creation. Move the files to S3 Glacier 4 years after object creation. Explain: Option C is the most cost-effective solution for this scenario. Here's a concise explanation:
Initial storage: S3 Standard is appropriate for the first 30 days when files are frequently accessed.
Long-term storage: S3 Standard-IA is ideal after 30 days because:
It's cheaper than S3 Standard for infrequently accessed data.
It maintains immediate accessibility, which is required.
It's more cost-effective than S3 One Zone-IA for critical business data, as it offers higher durability and availability.
Lifecycle policy: Automatically moves files to S3 Standard-IA after 30 days, optimizing costs without manual intervention.
Deletion: Files are deleted after 4 years, meeting the company's retention policy. Why other options are less suitable:
A: S3 Glacier doesn't provide immediate access, violating the requirement.
B: S3 One Zone-IA has lower durability, which is risky for critical business data.
D: Moving to S3 Glacier after 4 years is unnecessary since files should be deleted at that point. This solution balances cost-effectiveness with the requirements for immediate access and proper storage of critical business data.

Q40: A company hosts an application on multiple Amazon EC2 instances. The application processes messages from an Amazon SQS queue, writes to an Amazon RDS table, and deletes the message from the queue. Occasional duplicate records are found in the RDS table. The SQS queue does not contain any duplicate messages.
What should a solutions architect do to ensure messages are being processed once only?

A. Use the CreateQueue API call to create a new queue.
B. Use the AddPermission API call to add appropriate permissions.
C. Use the ReceiveMessage API call to set an appropriate wait time.
D. Use the ChangeMessageVisibility API call to increase the visibility timeout. Explain: To ensure that messages are being processed only once, a solutions architect should use the ChangeMessageVisibility API call to increase the visibility timeout which is Option D. The visibility timeout determines the amount of time that a message received from an SQS queue is hidden from other consumers while the message is being processed. If the processing of a message takes longer than the visibility timeout, the message will become visible to other consumers and may be processed again. By increasing the visibility timeout, the solutions architect can ensure that the message is not made visible to other consumers until the processing is complete and the message can be safely deleted from the queue.

Q41: A solutions architect is designing a new hybrid architecture to extend a company's on-premises infrastructure to AWS. The company requires a highly available connection with consistent low latency to an AWS Region. The company needs to minimize costs and is willing to accept slower traffic if the primary connection fails.
What should the solutions architect do to meet these requirements?

A. Provision an AWS Direct Connect connection to a Region. Provision a VPN connection as a backup if the primary Direct Connect connection fails.
B. Provision a VPN tunnel connection to a Region for private connectivity. Provision a second VPN tunnel for private connectivity and as a backup if the primary VPN connection fails.
C. Provision an AWS Direct Connect connection to a Region. Provision a second Direct Connect connection to the same Region as a backup if the primary Direct Connect connection fails.
D. Provision an AWS Direct Connect connection to a Region. Use the Direct Connect failover attribute from the AWS CLI to automatically create a backup connection if the primary Direct Connect connection fails. Explain:
Direct Connect + VPN Tunnel are the best choice to make a connection failover with tolerate the slow speed when Direct Connect connection fails. Q42: A company is running a business-critical web application on Amazon EC2 instances behind an Application Load Balancer. The EC2 instances are in an Auto Scaling group. The application uses an Amazon Aurora PostgreSQL database that is deployed in a single Availability Zone. The company wants the application to be highly available with minimum downtime and minimum loss of data.
Which solution will meet these requirements with the LEAST operational effort?
A. Place the EC2 instances in different AWS Regions. Use Amazon Route 53 health checks to redirect traffic. Use Aurora PostgreSQL Cross-Region Replication.
B. Configure the Auto Scaling group to use multiple Availability Zones. Configure the database as Multi-AZ. Configure an Amazon RDS Proxy instance for the database.
C. Configure the Auto Scaling group to use one Availability Zone. Generate hourly snapshots of the database. Recover the database from the snapshots in the event of a failure.
D. Configure the Auto Scaling group to use multiple AWS Regions. Write the data from the application to Amazon S3. Use S3 Event Notifications to launch an AWS Lambda function to write the data to the database. Explain: By configuring the Auto Scaling group to use multiple Availability Zones, the application will be able to continue running even if one Availability Zone goes down. Configuring the database as Multi-AZ will also ensure that the database remains available in the event of a failure in one Availability Zone. Using an Amazon RDS Proxy instance for the database will allow the application to automatically route traffic to healthy database instances, further increasing the availability of the application. This solution will meet the requirements for high availability with minimal operational effort.

Q43: A company's HTTP application is behind a Network Load Balancer (NLB). The NLB's target group is configured to use an Amazon EC2 Auto Scaling group with multiple EC2 instances that run the web service.
The company notices that the NLB is not detecting HTTP errors for the application. These errors require a manual restart of the EC2 instances that run the web service. The company needs to improve the application's availability without writing custom scripts or code.
What should a solutions architect do to meet these requirements?

A. Enable HTTP health checks on the NLB, supplying the URL of the company's application.
B. Add a cron job to the EC2 instances to check the local application's logs once each minute. If HTTP errors are detected. the application will restart.
C. Replace the NLB with an Application Load Balancer. Enable HTTP health checks by supplying the URL of the company's application. Configure an Auto Scaling action to replace unhealthy instances.
D. Create an Amazon Cloud Watch alarm that monitors the UnhealthyHostCount metric for the NLB. Configure an Auto Scaling action to replace unhealthy instances when the alarm is in the ALARM state. Explain: A seem to be the correct anwser but the NLB does not support health checking with URL. So the answer will be C.