DVA-C02 practice questions 371–380

1. Question 371 · 548 in bank

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   A developer is writing an application that will run on Amazon EC2 instances in an Auto Scaling group. The developer wants to externalize the session state to support the application. Which AWS services or resources can the developer use to meet these requirements? (Choose two.)

   • AAmazon DynamoDB
   • BAmazon Cognito
   • CAmazon ElastiCache
   • DApplication Load Balancer
   • EAmazon Simple Queue Service (Amazon SQS)

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   Answer: AC

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2. Question 372 · 548 in bank

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   A company has a serverless application that uses an Amazon API Gateway API to invoke an AWS Lambda function. A developer creates a fix for a defect in the Lambda function code. The developer wants to deploy this fix to the production environment. To test the changes, the developer needs to send 10% of the live production traffic to the updated Lambda function version. Which combination of steps will meet these requirements? (Choose two.)

   • APublish a new version of the Lambda function that contains the updated code.
   • BSet up a new stage in API Gateway with a new Lambda function version. Enable weighted routing in API Gateway stages.
   • CCreate an alias for the Lambda function. Configure weighted routing on the alias. Specify a 10% weight for the new Lambda function version.
   • DSet up a routing policy on a Network Load Balancer. Configure 10% of the traffic to go to the new Lambda function version.
   • ESet up a weighted routing policy by using Amazon Route 53. Configure 10% of the traffic to go to the new Lambda function version.

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   Answer: AC

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3. Question 373 · 548 in bank

   A developer is creating a video search application for a global company. The video files have an average size of 2.5 TB. The video storage system must provide instant access to the video files for the first 90 days. After the first 90 days, the video files can take more than 10 minutes to load. Which solution will meet these requirements MOST cost-effectively?

   • AUpload the video files to the Amazon Elastic File System (Amazon EFS) Standard storage class for the first 90 days. After 90 days, transition the video files to the EFS Standard-Infrequent Access (Standard-IA) storage class.
   • BUpload the video files to Amazon S3. Use the S3 Glacier Deep Archive storage class for the first 90 days. After 90 days, transition the video file to the S3 Glacier Flexible Retrieval storage class.
   • CUse Amazon Elastic Block Store (Amazon EBS) to store the video files for the first 90 days. After 90 days, transition the video files to the Amazon S3 Glacier Deep Archive storage class.
   • DUpload the video files to Amazon S3. Use the S3 Glacier Instant Retrieval storage class for the first 90 days. After 90 days, transition the video files to the S3 Glacier Flexible Retrieval storage class.

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   Answer: D

   References

   • AWS documentation

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4. Question 374 · 548 in bank

   A company has a virtual reality (VR) game. The game has a serverless backend that consists of Amazon API Gateway, AWS Lambda, and Amazon DynamoDB. Recently, the company noticed a sudden increase of new users globally. The company also noticed delays in the retrieval of user data. Which AWS service or feature can the company use to reduce the database response time to microseconds?

   • AAmazon ElastiCache
   • BDynamoDB Accelerator (DAX)
   • CDynamoDB auto scaling
   • DAmazon CloudFront

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   Answer: B

   References

   • AWS documentation

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5. Question 375 · 548 in bank

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   A developer is creating a solution to track an account's Amazon S3 buckets over time. The developer has created an AWS Lambda function that will run on a schedule. The function will list the account's S3 buckets and will store the list in an Amazon DynamoDB table. The developer receives a permissions error when the developer runs the function with the AWSLambdaBasicExecutionRole AWS managed policy. Which combination of permissions should the developer use to resolve this error? (Choose two.)

   • ACross-account IAM role
   • BPermission for the Lambda function to list buckets in Amazon S3
   • CPermission for the Lambda function to write in DynamoDB
   • DPermission for Amazon S3 to invoke the Lambda function
   • EPermission for DynamoDB to invoke the Lambda function

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   Answer: BC

   Explanation

   { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "dynamodb:PutItem", "dynamodb:BatchWriteItem" ], "Resource": "arn:aws:dynamodb:REGION:ACCOUNT_ID:table/TABLE_NAME" } ] } { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "dynamodb:PutItem", "dynamodb:BatchWriteItem" ], "Resource": "arn:aws:dynamodb:REGION:ACCOUNT_ID:table/TABLE_NAME" } ] }

   Source: Adapted from community discussion — albert_kuo

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6. Question 376 · 548 in bank

   A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages. What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?

   • APackage each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.
   • BCreate a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.
   • CCombine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.
   • DDownload the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.

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   Answer: B

   Explanation

   B creating a Lambda layer with the required Python library and using it in both Lambda functions, is the most suitable solution for reducing the size of the deployment packages with minimal operational overhead. https://docs.aws.amazon.com/lambda/latest/dg/invocation-layers.html

   Source: Adapted from community discussion — Mtho96

   References

   • AWS documentation

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7. Question 377 · 548 in bank

   A company uses AWS to run its learning management system (LMS) application. The application runs on Amazon EC2 instances behind an Application Load Balancer (ALB). The application's domain name is managed in Amazon Route 53. The application is deployed in a single AWS Region, but the company wants to improve application performance for users all over the world. Which solution will improve global performance with the LEAST operational overhead?

   • ASet up an Amazon CloudFront distribution that uses the ALB as the origin server. Configure Route 53 to create a DNS alias record that points the application's domain name to the CloudFront distribution URL.
   • BLaunch more EC2 instances behind the ALConfigure the ALB to use session affinity (sticky sessions). Create a Route 53 alias record for the ALB by using a geolocation routing policy.
   • CCreate an AWS Client VPN endpoint in the VPInstruct users to connect to the VPN to access the application. Create a Route 53 alias record for the VPN endpoint. Configure Route 53 to use a geolocation routing policy.
   • DDeploy the application to multiple Regions across the world. Create a Route 53 alias record for the ALB by using a latency-based routing policy.

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   Answer: A

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8. Question 378 · 548 in bank

   A developer hosts a static website on Amazon S3 and connects the website to an Amazon CloudFront distribution. The website uses a custom domain name that points to the CloudFront URL. The developer has set up a continuous integration and continuous delivery (CI/CD) pipeline. The pipeline automatically runs when changes occur in an AWS CodeCommit repository. The pipeline has a source stage and then a build stage. The build stage invokes an AWS CodeBuild project that references a buildspec.yml file. The buildspec.yml file builds the code and deploys the static files to the S3 bucket. The pipeline runs successfully, and the latest website files are visible in the S3 bucket and at the S3 website URL. However, when the developer accesses the website through the CloudFront domain, the updates are not reflected on the website. What should the developer configure the buildspec.yml file to do to resolve this issue?

   • AProperly synchronize the objects in the S3 bucket with new files from the source stage.
   • BDelete the previous website files in the S3 bucket and redeploy the website files.
   • CInvalidate the file caches for the primary CloudFront distribution.
   • DModify the cross-origin resource sharing (CORS) policy of the S3 bucket and redeploy the website files.

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   Answer: C

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9. Question 379 · 548 in bank

   A developer is working on an ecommerce application that stores data in an Amazon RDS for MySQL cluster. The developer needs to implement a caching layer for the application to retrieve information about the most viewed products. Which solution will meet these requirements?

   • AEdit the RDS for MySQL cluster by adding a cache node. Configure the cache endpoint instead of the cluster endpoint in the application.
   • BCreate an Amazon ElastiCache for Redis cluster. Update the application code to use the ElastiCache for Redis cluster endpoint.
   • CCreate an Amazon DynamoDB Accelerator (DAX) cluster in front of the RDS for MySQL cluster. Configure the application to connect to the DAX endpoint instead of the RDS endpoint.
   • DConfigure the RDS for MySQL cluster to add a standby instance in a different Availability Zone. Configure the application to read the data from the standby instance.

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   Answer: B

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10. Question 380 · 548 in bank

    A developer is creating a database of products. Queries for frequently accessed products must have retrieval times of microseconds. To ensure data consistency, the application cache must be updated whenever products are added, changed, or deleted. Which solution will meet these requirements?

    • ASet up an Amazon DynamoDB database and a DynamoDB Accelerator (DAX) cluster.
    • BSet up an Amazon RDS database and an Amazon ElastiCache for Redis cluster. Implement a lazy loading caching strategy with ElastiCache.
    • CSetup an Amazon DynamoDB database that has an in-memory cache. Implement a lazy loading caching strategy in the application.
    • DSet up an Amazon RDS database and an Amazon DynamoDB Accelerator (DAX) cluster. Specify a TTL setting for the DAX cluster.

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    Answer: A

    References

    • AWS documentation

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DVA-C02 practice, question 371. 548 questions available.