DVA-C02 Exam Dumps - AWS Certified Developer - Associate

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Question # 81

A developer has an application that stores data in an Amazon S3 bucket. The application uses an HTTP API to store and retrieve objects. When the PutObject API operation adds objects to the S3 bucket the developer must encrypt these objects at rest by using server-side encryption with Amazon S3 managed keys (SSE-S3).

Which solution will meet this requirement?

Create an AWS Key Management Service (AWS KMS) key. Assign the KMS key to the S3 bucket.

Set the x-amz-server-side-encryption header when invoking the PutObject API operation.

Provide the encryption key in the HTTP header of every request.

Apply TLS to encrypt the traffic to the S3 bucket.

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Question # 82

An application uses an Amazon EC2 Auto Scaling group. A developer notices that EC2 instances are taking a long time to become available during scale-out events. The UserData script is taking a long time to run.

The developer must implement a solution to decrease the time that elapses before an EC2 instance becomes available. The solution must make the most recent version of the application available at all times and must apply all available security updates. The solution also must minimize the number of images that are created. The images must be validated.

Which combination of steps should the developer take to meet these requirements? (Choose two.)

Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.

Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install the latest version of the application and all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.

Set up AWS CodeDeploy to deploy the most recent version of the application at runtime.

Set up AWS CodePipeline to deploy the most recent version of the application at runtime.

Remove any commands that perform operating system patching from the UserData script.

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Question # 83

A developer is creating an application that must transfer expired items from Amazon DynamoDB to Amazon S3. The developer sets up the DynamoDB table to automatically delete items after a specific TTL. The application must process the items in DynamoDB and then must store the expired items in Amazon S3. The entire process, including item processing and storage in Amazon S3, will take 5 minutes.

Which solution will meet these requirements with the LEAST operational overhead?

Configure DynamoDB Accelerator (DAX) lo query for expired items based on the TTL Save the results to Amazon S3.

Configure DynamoDB Streams to invoke an AWS Lambda function. Program the Lambda function to process the items and to store the expired items in Amazon S3.

Deploy a custom application on an Amazon Elastic Container Service (Amazon ECS) cluster on Amazon EC2 instances. Program the custom application to process the items and to store the expired items in Amazon S3.

Create an Amazon EventBridge rule to invoke an AWS Lambda function. Program the Lambda function to process The items and to store the expired items in Amazon S3.

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Question # 84

A developer is using AWS Step Functions to automate a workflow The workflow defines each step as an AWS Lambda function task The developer notices that runs of the Step Functions state machine fail in the GetResource task with either an UlegalArgumentException error or a TooManyRequestsException error

The developer wants the state machine to stop running when the state machine encounters an UlegalArgumentException error. The state machine needs to retry the GetResource task one additional time after 10 seconds if the state machine encounters a TooManyRequestsException error. If the second attempt fails, the developer wants the state machine to stop running.

How can the developer implement the Lambda retry functionality without adding unnecessary complexity to the state machine'?

Add a Delay task after the GetResource task. Add a catcher to the GetResource task. Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be the Delay task Configure the Delay task to wait for an interval of 10 seconds Configure the next step to be the GetResource task.

Add a catcher to the GetResource task Configure the catcher with an error type of TooManyRequestsException. an interval of 10 seconds, and a maximum attempts value of 1. Configure the next step to be the GetResource task.

Add a retrier to the GetResource task Configure the retrier with an error type of TooManyRequestsException, an interval of 10 seconds, and a maximum attempts value of 1.

Duplicate the GetResource task Rename the new GetResource task to TryAgain Add a catcher to the original GetResource task Configure the catcher with an error type of TooManyRequestsException. Configure the next step to be TryAgain.

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Question # 85

A developer has a legacy application that is hosted on-premises. Other applications hosted on AWS depend on the on-premises application for proper functioning. In case of any application errors, the developer wants to be able to use Amazon CloudWatch to monitor and troubleshoot all applications from one place.

How can the developer accomplish this?

Install an AWS SDK on the on-premises server to automatically send logs to CloudWatch.

Download the CloudWatch agent to the on-premises server. Configure the agent to use IAM user credentials with permissions for CloudWatch.

Upload log files from the on-premises server to Amazon S3 and have CloudWatch read the files.

Upload log files from the on-premises server to an Amazon EC2 instance and have the instance forward the logs to CloudWatch.

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Question # 86

A developer is building a three-tier web application that should be able to handle a minimum of 5000 requests per minute. Requirements state that the web tier should be completely stateless while the application maintains session state for the users.

How can session data be externalized, keeping latency at the LOWEST possible value?

Create an Amazon RDS instance, then implement session handling at the application level to leverage a database inside the RDS database instance for session data storage.

Implement a shared file system solution across the underlying Amazon EC2 instances, then implement session handling at the application level to leverage the shared file system for session data storage.

Create an Amazon ElastiCache (Memcached) cluster, then implement session handling at the application level to leverage the cluster for session data storage.

Create an Amazon DynamoDB table, then implement session handling at the application level to leverage the table for session data storage.

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Question # 87

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?

Use a Kubernetes cron job that runs on Amazon Elastic Kubernetes Service (Amazon EKS).

Use an Amazon Linux crontab scheduled job that runs on Amazon EC2.

Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event.

Use an AWS Batch job that is submitted to an AWS Batch job queue.

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Answer:

Explanation:

The correct answer is C. Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event.

C. Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event. This is correct. AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, and logging1. Amazon EventBridge is a serverless event bus service that enables you to connect your applications with data from a variety of sources2. EventBridge can create rules that run on a schedule, either at regular intervals or at specific times and dates, and invoke targets such as Lambda functions3. This solution meets the requirements of creating a small application that makes the same API call once each day at a designated time, without requiring any infrastructure in the AWS Cloud or any operational overhead.

A. Use a Kubernetes cron job that runs on Amazon Elastic Kubernetes Service (Amazon EKS). This is incorrect. Amazon EKS is a fully managed Kubernetes service that allows you to run containerized applications on AWS4. Kubernetes cron jobs are tasks that run periodically on a given schedule5. This solution could meet the functional requirements of creating a small application that makes the same API call once each day at a designated time, but it would not be the most operationally efficient manner. The company would need to provision and manage an EKS cluster, which would incur additional costs and complexity.

B. Use an Amazon Linux crontab scheduled job that runs on Amazon EC2. This is incorrect. Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud6. Crontab is a Linux utility that allows you to schedule commands or scripts to run automatically at a specified time or date7. This solution could meet the functional requirements of creating a small application that makes the same API call once each day at a designated time, but it would not be the most operationally efficient manner. The company would need to provision and manage an EC2 instance, which would incur additional costs and complexity.

D. Use an AWS Batch job that is submitted to an AWS Batch job queue. This is incorrect. AWS Batch enables you to run batch computing workloads on the AWS Cloud8. Batch jobs are units of work that can be submitted to job queues, where they are executed in parallel or sequentially on compute environments9. This solution could meet the functional requirements of creating a small application that makes the same API call once each day at a designated time, but it would not be the most operationally efficient manner. The company would need to configure and manage an AWS Batch environment, which would incur additional costs and complexity.

References:

1: What is AWS Lambda? - AWS Lambda

2: What is Amazon EventBridge? - Amazon EventBridge

3: Creating an Amazon EventBridge rule that runs on a schedule - Amazon EventBridge

4: What is Amazon EKS? - Amazon EKS

5: CronJob - Kubernetes

6: What is Amazon EC2? - Amazon EC2

7: Crontab in Linux with 20 Useful Examples to Schedule Jobs - Tecmint

8: What is AWS Batch? - AWS Batch

9: Jobs - AWS Batch

Question # 88

A company is running a custom application on a set of on-premises Linux servers that are accessed using Amazon API Gateway. AWS X-Ray tracing has been enabled on the API test stage.

How can a developer enable X-Ray tracing on the on-premises servers with the LEAST amount of configuration?

Install and run the X-Ray SDK on the on-premises servers to capture and relay the data to the X-Ray service.

Install and run the X-Ray daemon on the on-premises servers to capture and relay the data to the X-Ray service.

Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTraceSegments API call.

Capture incoming requests on-premises and configure an AWS Lambda function to pull, process, and relay relevant data to X-Ray using the PutTelemetryRecords API call.

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