Amazon AWS Certified Developer - Associate DVA-C01
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#221 (Accuracy: 100% / 3 votes)
Where should an Elastic Beanstalk configuration file named healthcheckurl.config be placed in the application source bundle?
  • A. In the root of the application
  • B. In the bin folder
  • C. In healthcheckurl.config.ebextension under root
  • D. In the .ebextensions folder
#222 (Accuracy: 100% / 4 votes)
A company has an application that generates large binary data outside of AWS. The company must encrypt the data before uploading the data to an Amazon S3 bucket.

Which solution will meet this requirement?
  • A. Use the AWS Key Management Service (AWS KMS) encrypt command in the AWS CLI.
  • B. Configure server-side encryption on the S3 bucket.
  • C. Use the AWS Encryption SDK to perform client-side encryption of the data.
  • D. Specify the x-amz-server-side-encryption header when uploading the data to the S3 bucket.
#223 (Accuracy: 100% / 4 votes)
A developer at a company needs to create a small application that makes the same API call once each day at a designated time. The company does not have infrastructure in the AWS Cloud yet, but the company wants to implement this functionality on AWS.

Which solution meets these requirements in the MOST operationally efficient manner?
  • A. Use a Kubernetes cron job that runs on Amazon Elastic Kubernetes Service (Amazon EKS).
  • B. Use an Amazon Linux crontab scheduled job that runs on Amazon EC2.
  • C. Use an AWS Lambda function that is invoked by an Amazon EventBridge (Amazon CloudWatch Events) scheduled event.
  • D. Use an AWS Batch job that is submitted to an AWS Batch job queue.
#224 (Accuracy: 92% / 7 votes)
A company has deployed an application on AWS Elastic Beanstalk. The company has configured the Auto Scaling group that is associated with the Elastic Beanstalk environment to have five Amazon EC2 instances. If the capacity is fewer than four EC2 instances during the deployment, application performance degrades. The company is using the all-at-once deployment policy.

What is the MOST cost-effective way to solve the deployment issue?
  • A. Change the Auto Scaling group to six desired instances.
  • B. Change the deployment policy to traffic splitting. Specify an evaluation time of 1 hour.
  • C. Change the deployment policy to rolling with additional batch. Specify a batch size of 1.
  • D. Change the deployment policy to rolling. Specify a batch size of 2.
#225 (Accuracy: 100% / 4 votes)
A developer has setup an Amazon Kinesis Stream with 4 shards to ingest a maximum of 2500 records per second. A Lambda function has been configured to process these records.

In which order will these records be processed?
  • A. Lambda will receive each record in the reverse order it was placed into the stream following a LIFO (last-in, first-out) method.
  • B. Lambda will receive each record in the exact order it was placed into the stream following a FIFO (first-in, first-out) method.
  • C. Lambda will receive each record in the exact order it was placed into the shard following a FIFO (first-in, first-out) method. There is no guarantee of order across shards.
  • D. The developer can select FIFO (first-in, first-out), LIFO (last-in, first-out), random, or request specific record using the getRecords API.
#226 (Accuracy: 100% / 3 votes)
A company is planning to deploy an application on AWS behind an Elastic Load Balancer. The application uses an HTTP/HTTPS listener and must access the client IP addresses.

Which load-balancing solution meets these requirements?
  • A. Use an Application Load Balancer and the X-Forwarded-For headers.
  • B. Use a Network Load Balancer (NLB). Enable proxy protocol support on the NLB and the target application.
  • C. Use an Application Load Balancer. Register the targets by the instance ID.
  • D. Use a Network Load Balancer and the X-Forwarded-For headers.
#227 (Accuracy: 100% / 5 votes)
An application is experiencing performance issues based on increased demand. This increased demand is on read-only historical records pulled from an Amazon RDS-hosted database with custom views and queries. A developer must improve performance without changing the database structure.

Which approach will improve performance and MINIMIZE management overhead?
  • A. Deploy Amazon DynamoDB, move all the data, and point to DynamoDB.
  • B. Deploy Amazon ElastiCache for Red is and cache the data for the application.
  • C. Deploy Memcached on Amazon EC2 and cache the data for the application.
  • D. Deploy Amazon DynamoDB Accelerator (DAX) on Amazon RDS to improve cache performance.
#228 (Accuracy: 100% / 5 votes)
A company's website runs on an Amazon EC2 instance and uses Auto Scaling to scale the environment during peak times. Website users across the world are experiencing high latency due to static content on the EC2 instance, even during non-peak hours.

Which combination of steps will resolve the latency issue? (Choose two.)
  • A. Double the Auto Scaling group's maximum number of servers.
  • B. Host the application code on AWS Lambda.
  • C. Scale vertically by resizing the EC2 instances.
  • D. Create an Amazon CloudFront distribution to cache the static content.
  • E. Store the application’s static content in Amazon S3.
#229 (Accuracy: 100% / 4 votes)
A developer is storing sensitive data generated by an application in Amazon S3. The developer wants to encrypt the data at rest A company policy requires an audit trail of when the AWS Key Management Service (AWS KMS) key was used and by whom.

Which encryption option will meet these requirements?
  • A. Server-side encryption with Amazon S3 managed keys (SSE-S3)
  • B. Server-side encryption with AWS KMS managed keys (SSE-KMS)
  • C. Server-side encryption with customer-provided keys (SSE-C)
  • D. Server-side encryption with self-managed keys
#230 (Accuracy: 100% / 4 votes)
A company is managing a NoSQL database on-premises to host a critical component of an application, which is starting to have scaling issues. The company wants to migrate the application to Amazon DynamoDB with the following considerations:

• Optimize frequent queries
• Reduce read latencies
• Plan for frequent queries on certain key attributes of the table

Which solution would help achieve these objectives?
  • A. Create global secondary indexes on keys that are frequently queried. Add the necessary attributes into the indexes.
  • B. Create local secondary indexes on keys that are frequently queried. DynamoDB will fetch needed attributes from the table.
  • C. Create DynamoDB global tables to speed up query responses. Use a scan to fetch data from the table
  • D. Create an AWS Auto Scaling policy for the DynamoDB table.