SAP-C02 Exam Dumps - AWS Certified Solutions Architect - Professional

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Question # 81

A company is running an application that uses an Amazon ElastiCache for Redis cluster as a caching layer A recent security audit revealed that the company has configured encryption at rest for ElastiCache However the company did not configure ElastiCache to use encryption in transit Additionally, users can access the cache without authentication

A solutions architect must make changes to require user authentication and to ensure that the company is using end-to-end encryption

Which solution will meet these requirements?

Create an AUTH token Store the token in AWS System Manager Parameter Store, as anencrypted parameter Create a new cluster with AUTH and configure encryption in transit Update the application to retrieve the AUTH token from Parameter Store when necessary and to use the AUTH token for authentication

Create an AUTH token Store the token in AWS Secrets Manager Configure the existing cluster to use the AUTH token and configure encryption in transit Update the application to retrieve the AUTH token from Secrets Manager when necessary and to use the AUTH token for authentication.

Create an SSL certificate Store the certificate in AWS Secrets Manager Create a new cluster and configure encryption in transit Update the application to retrieve the SSL certificate from Secrets Manager when necessary and to use the certificate for authentication.

Create an SSL certificate Store the certificate in AWS Systems Manager Parameter Store, as an encrypted advanced parameter Update the existing cluster to configure encryption in transit Update the application to retrieve the SSL certificate from Parameter Store when necessary and to use the certificate for authentication

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Question # 82

A company has an asynchronous HTTP application that is hosted as an AWS Lambda function. A public Amazon API Gateway endpoint invokes the Lambda function. The Lambda function and the API Gateway endpoint reside in the us-east-1 Region. A solutions architect needs to redesign the application to support failover to another AWS Region.

Which solution will meet these requirements?

Create an API Gateway endpoint in the us-west-2 Region to direct traffic to the Lambda function in us-east-1. Configure Amazon Route 53 to use a failover routing policy to route traffic for the two API Gateway endpoints.

Create an Amazon Simple Queue Service (Amazon SQS) queue. Configure API Gateway to direct traffic to the SQS queue instead of to the Lambda function. Configure the Lambda function to pull messages from the queue for processing.

Deploy the Lambda function to the us-west-2 Region. Create an API Gateway endpoint in us-west-2 to direct traffic to the Lambda function in us-west-2. Configure AWS Global Accelerator and an Application Load Balancer to manage traffic across the two API Gateway endpoints.

Deploy the Lambda function and an API Gateway endpoint to the us-west-2 Region. Configure Amazon Route 53 to use a failover routing policy to route traffic for the two API Gateway endpoints.

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Question # 83

A company built an ecommerce website on AWS using a three-tier web architecture. The application is Java-based and composed of an Amazon CloudFront distribution, an Apache web server layer of Amazon EC2 instances in an Auto Scaling group, and a backend Amazon Aurora MySQL database.

Last month, during a promotional sales event, users reported errors and timeouts while adding items to their shopping carts. The operations team recovered the logs created by the web servers and reviewed Aurora DB cluster performance metrics. Some of the web servers were terminated before logs could be collected and the Aurora metrics were not sufficient for query performance analysis.

Which combination of steps must the solutions architect take to improve application performance visibility during peak traffic events? (Choose three.)

Configure the Aurora MySQL DB cluster to publish slow query and error logs to Amazon CloudWatch Logs.

Implement the AWS X-Ray SDK to trace incoming HTTP requests on the EC2 instances and implement tracing of SQL queries with the X-Ray SDK for Java.

Configure the Aurora MySQL DB cluster to stream slow query and error logs to Amazon Kinesis

Install and configure an Amazon CloudWatch Logs agent on the EC2 instances to send the Apache logs to CloudWatch Logs.

Enable and configure AWS CloudTrail to collect and analyze application activity from Amazon EC2 and Aurora.

Enable Aurora MySQL DB cluster performance benchmarking and publish the stream to AWS X-Ray.

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Question # 84

A company creates an Amazon API Gateway API and shares the API with an external development team. The API uses AWS Lambda functions and is deployed to a stage that is named Production.

The external development team is the sole consumer of the API. The API experiences sudden increases of usage at specific times, leading to concerns about increased costs. The company needs to limit cost and usage without reworking the Lambda functions.

Which solution will meet these requirements MOST cost-effectivery?

Configure the API to send requests to Amazon SQS queues instead of directly to the Lambda functions. Update the Lambda functions to consume messages from the queues and to process the requests. Set up the queues to invoke the Lambda functions when new messages arrive.

Configure provisioned concurrency for each Lambda function. Use AWS Application Auto Scaling to register the Lambda functions as targets. Set up scaling schedules to increase and decrease capacity to match changes in API usage.

Create an API Gateway API key and an AWS WAF Regional web ACL. Associate the web ACL with the Production stage. Add a rate-based rule to the web ACL. In the rule, specify the rate limit and a custom request aggregation that uses the X-API-Key header. Share the API key with the external development team.

Create an API Gateway API key and usage plan. Define throttling limits and quotas in the usage plan. Associate the usage plan with the Production stage and the API key. Share the API key with the external development team.

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Question # 85

A company needs a highly available database solution for an application. The solution must be able to fail over to a secondary AWS Region with an RPO of 5 minutes and an RTO of 20 minutes. The database is approximately 10 TB in size.

Which solution will meet these requirements?

Deploy an Amazon Aurora DB cluster and take snapshots of the cluster every 5 minutes. When each snapshot is complete, copy the snapshot to a secondary Region.

Deploy an Amazon RDS Multi-AZ DB cluster with a cross-Region read replica in a secondary Region. Use an Amazon CloudWatch alarm to invoke an AWS Lambda function that promotes the read replica to become the primary in the event of a failure.

Deploy an Amazon Aurora DB cluster in the primary Region. Configure Amazon EventBridge to target Amazon RDS to create a second cluster in the event of a failure. Use AWS DMS to keep the secondary Region in sync with the primary Region.

Deploy an Amazon RDS Multi-AZ DB cluster in the primary Region with a cross-Region read replica in a secondary Region. Configure automated backups and enable automated failover to promote the read replica to become the primary in the secondary Region.

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Answer:

Explanation:

The requirements specify cross-Region failover with an RPO of 5 minutes and an RTO of 20 minutes for a large (10 TB) database. Achieving a low RPO in a secondary Region typically requires near-continuous replication, not periodic snapshots. Achieving a 20-minute RTO requires that the standby data store already exists in the secondary Region and can be promoted quickly.

A cross-Region read replica provides continuous asynchronous replication from the primary Region to a replica in the secondary Region. This is the standard managed approach for cross-Region disaster recovery for Amazon RDS engines that support read replicas. With a read replica already running in the secondary Region, failover can be accomplished by promoting the replica to a standalone primary database instance. This supports an RTO target like 20 minutes because the data is already present and the promotion operation is typically faster than restoring from a full snapshot, especially at 10 TB scale.

Option B describes creating an RDS Multi-AZ DB cluster in the primary Region and a cross-Region read replica in the secondary Region. Multi-AZ addresses high availability within the primary Region, while the cross-Region replica addresses disaster recovery. The option also includes automation using CloudWatch alarms and a Lambda function to promote the replica when a failure is detected. This supports the required RTO by reducing manual intervention time and supports the RPO by using continuous replication.

Option A is not practical for RPO 5 minutes at 10 TB. Taking and copying snapshots every 5 minutes would be operationally heavy and would not complete within the required window; snapshot creation and cross-Region copy are not designed for such high-frequency near-real-time DR. It also risks missing the RPO due to snapshot completion time.

Option C introduces unnecessary complexity and additional services. Creating a second cluster only at failure time is not compatible with a 20-minute RTO for a 10 TB database, and using DMS for continuous sync is more development and operational work than using native RDS replication. This is not the least overhead or most direct DR design.

Option D is incorrect as stated because cross-Region read replicas are not automatically failed over and promoted by an â€œautomated failoverâ€ feature in the way Multi-AZ failover works within a Region. Automated backups do not provide near-real-time cross-Region recovery to meet a 5-minute RPO. The usual approach for cross-Region is to create the replica and then promote it through a controlled process, which can be automated via monitoring and Lambda as in option B.

Therefore, using a cross-Region read replica with automation to promote it provides the necessary RPO/RTO with a managed service approach.

[References:AWS documentation on Amazon RDS cross-Region read replicas for disaster recovery and replica promotion procedures.AWS documentation on Multi-AZ deployments for high availability within a Region and combining Multi-AZ with cross-Region read replicas for DR.AWS best practices for meeting RPO/RTO using continuous replication rather than periodic snapshots for large databases., , , , , ]

Question # 86

A company is developing a new serverless API by using Amazon API Gateway and AWS Lambda. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes.

A solutions architect needs to simplify the deployment of the solution and optimize for code reuse.

Which solution will meet these requirements?

Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket. Create a Lambda layer that uses the Docker image as the source. Deploy the API ' s Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source. Deploy the API ' s Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API ' s Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.

Deploy the shared libraries, custom classes, and code for the API ' s Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API ' s Lambda functions to use the Docker image as the deployment package.

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Question # 87

A company wants to use Amazon S3 to back up its on-premises file storage solution. The company ' s on-premises file storage solution supports NFS, and the company wants its new solution to support NFS. The company wants to archive the backup files after 5 days. If the company needs archived files for disaster recovery, t he company is willing to wait a few days for the retrieval of those files.

Which solution meets these requirements MOST cost-effectively?

Deploy an AWS Storage Gateway files gateway that is associated with an S3 bucket. Move the files from the on-premises file storage solution to the file gateway. Create an S3 Lifecycle rule to move the file to S3 Standard-Infrequent Access (S3 Standard-IA) after 5 days.

Deploy an AWS Storage Gateway volume gateway that is associated with an S3 bucket. Move the files from the on-premises file storage solution to the volume gateway. Create an S3 Lifecycle rule to move the files to S3 Glacier Deep Archive after 5 days.

Deploy an AWS Storage Gateway tape gateway that is associated with an S3 bucket. Move the files from the on-premises file storage solution to the tape gateway. Create an S3 Lifecycle rule to move the files to S3 Standard-Infrequent Access (S3 Standard-IA) after 5 days.

Deploy an AWS Storage Gateway file gateway that is associated with an S3 bucket. Move the files from the on-premises file storage solution to the tape gateway. Create an S3 Lifecycle rule to move the files to S3 Standard-Infrequent Access (S3 Standard-IA) after 5 days.

Deploy an AWS Storage Gateway file gateway that is associated with an S3 bucket. Move the files from the on-premises file storage solution to the file gateway. Create an S3 Lifecycle rule to move the files to S3 Glacier Deep Archive after 5 days.

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Question # 88

A company has multiple AWS accounts that are in an organization in AWS Organizations. The company needs to store AWS account activity and query the data from a central location by using SQL.

Which solution will meet these requirements?

Create an AWS CloudTrail trail in each account. Specify CloudTrail management events for the trail. Configure CloudTrail to send the events to Amazon CloudWatch Logs. Configure CloudWatch cross-account observability. Query the data in CloudWatch Logs Insights.

Use a delegated administrator account to create an AWS CloudTrail Lake data store. Specify CloudTrail management events for the data store. Enable the data store for all accounts tn the organization. Query the data in CloudTrail Lake.

Use a delegated administrator account to create an AWS CloudTrail trail. Specify CloudTrail management events for the trail. Enable the trail for all accounts in the organization. Keep all other settings as default. Query the CloudTrail data from the CloudTrail event history page.

Use AWS CloudFormation StackSets to deploy AWS CloudTrail Lake data stores in each account. Specify CloudTrail management events for the data stores. Keep all other settings as default. Query the data in CloudTrail Lake.

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