DVA-C02 - AWS Certified Developer - Associate Pass-Sure Pass Test Guide

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Amazon AWS Certified Developer - Associate Sample Questions (Q345-Q350):

NEW QUESTION # 345
A company is using Amazon RDS as the Backend database for its application. After a recent marketing campaign, a surge of read requests to the database increased the latency of data retrieval from the database.
The company has decided to implement a caching layer in front of the database. The cached content must be encrypted and must be highly available.
Which solution will meet these requirements?

A. Amazon Cloudfront
B. Amazon DynamoDB Accelerate (DAX)
C. Amazon ElastiCache to Memcached
D. Amazon ElastiCache for Redis in cluster mode

Answer: D

Explanation:
Explanation
This solution meets the requirements because it provides a caching layer that can store and retrieve encrypted data from multiple nodes. Amazon ElastiCache for Redis supports encryption at rest and in transit, and can scale horizontally to increase the cache capacity and availability. Amazon ElastiCache for Memcached does not support encryption, Amazon CloudFront is a content delivery network that is not suitable for caching database queries, and Amazon DynamoDB Accelerator (DAX) is a caching service that only works with DynamoDB tables.

NEW QUESTION # 346
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'?

A. 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.
B. 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.
C. 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.
D. 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.

Answer: A

Explanation:
* Step Functions Retriers:Retriers provide a built-in way to gracefully handle transient errors within State Machines. Here's how to use them:
* Directly attach a retrier to the problematic 'GetResource' task.
* Configure the retrier:
* ErrorEquals: Set this to ['TooManyRequestsException'] to target the specific error.
* IntervalSeconds: Set to 10 for the desired retry delay.
* MaxAttempts: Set to 1, as you want only one retry attempt.
* Error Handling:
* Upon 'TooManyRequestsException', the retrier triggers the task again after 10 seconds.
* On a second failure, Step Functions moves to the next state or fails the workflow, as per your design.
* 'IllegalArgumentException' causes error propagation as intended.

NEW QUESTION # 347
A company wants to deploy and maintain static websites on AWS. Each website's source code is hosted in one of several version control systems, including AWS CodeCommit, Bitbucket, and GitHub.
The company wants to implement phased releases by using development, staging, user acceptance testing, and production environments in the AWS Cloud. Deployments to each environment must be started by code merges on the relevant Git branch. The company wants to use HTTPS for all data exchange. The company needs a solution that does not require servers to run continuously.
Which solution will meet these requirements with the LEAST operational overhead?

A. Host each website in AWS Elastic Beanstalk with multiple environments. Use the EB CLI to link each repository branch. Integrate AWS CodePipeline to automate deployments from version control code merges.
B. Host each website by using AWS Amplify with a serverless backend. Conned the repository branches that correspond to each of the desired environments. Start deployments by merging code changes to a desired branch.
C. Host each website on its own Amazon EC2 instance. Write a custom deployment script to bundle each website's static assets. Copy the assets to Amazon EC2. Set up a workflow to run the script when code is merged.
D. Host each website in different Amazon S3 buckets for each environment. Configure AWS CodePipeline to pull source code from version control. Add an AWS CodeBuild stage to copy source code to Amazon S3.

Answer: B

Explanation:
AWS Amplify is a set of tools and services that enables developers to build and deploy full-stack web and mobile applications that are powered by AWS. AWS Amplify supports hosting static websites on Amazon S3 and Amazon CloudFront, with HTTPS enabled by default. AWS Amplify also integrates with various version control systems, such as AWS CodeCommit, Bitbucket, and GitHub, and allows developers to connect different branches to different environments. AWS Amplify automatically builds and deploys the website whenever code changes are merged to a connected branch, enabling phased releases with minimal operational overhead. Reference: AWS Amplify Console

NEW QUESTION # 348
A company is creating a new application that gives users the ability to upload and share short video files. The average size of the video files is 10 MB. After a user uploads a file, a message needs to be placed into an Amazon Simple Queue Service (Amazon SQS) queue so the file can be processed. The files need to be accessible for processing within 5 minutes.
Which solution will meet these requirements MOST cost-effectively?

A. Write the files to an Amazon Elastic Block Store (Amazon EBS) General Purpose SSD volume. Add the EBS location of the files to the SQS queue.
B. Write the files to Amazon S3 Glacier Deep Archive. Add the S3 location of the files to the SQS queue.
C. Write messages that contain the contents of the uploaded files to the SQS queue.
D. Write the files to Amazon S3 Standard. Add the S3 location of the files to the SQS queue.

Answer: D

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
Amazon S3 Standard provides immediate access to files and is cost-effective for files that need to be accessed within 5 minutes.
By adding the S3 location to the SQS queue, you avoid transferring large files directly, which is both more efficient and scalable.
Why Other Options are Incorrect:
Option A: S3 Glacier Deep Archive is designed for archival storage with retrieval times ranging from minutes to hours, which does not meet the 5-minute requirement.
Option C: Amazon EBS is designed for block storage attached to EC2 instances, which adds unnecessary complexity and cost.
Option D: SQS is not designed to handle large file content directly and has message size limits (256 KB).
AWS Documentation Reference:
Amazon S3 Overview
Amazon SQS Best Practices

NEW QUESTION # 349
A company runs an application on AWS. The company deployed the application on Amazon EC2 instances. The application stores data on Amazon Aurora.
The application recently logged multiple application-specific custom DECRYP_ERROR errors to Amazon CloudWatch logs. The company did not detect the issue until the automated tests that run every 30 minutes failed. A developer must implement a solution that will monitor for the custom errors and alert a development team in real time when these errors occur in the production environment.
Which solution will meet these requirements with the LEAST operational overhead?

A. Install the CloudWatch unified agent on the EC2 instance. Configure the application to generate a metric for the keyword DECRYP_ERROR errors. Configure the agent to send Amazon Simple Notification Service (Amazon SNS) notifications.
B. Configure the application to create a custom metric and to push the metric to CloudWatch. Create an AWS CloudTrail alarm. Configure the CloudTrail alarm to use an Amazon Simple Notification Service (Amazon SNS) topic to send notifications.
C. Use Amazon CloudWatch Logs to create a metric filter that has a filter pattern for DECRYP_ERROR. Create a CloudWatch alarm on this metric for a threshold >=1. Configure the alarm to send Amazon Simple Notification Service (Amazon SNS) notifications.
D. Create an AWS Lambda function to run every 5 minutes to scan the CloudWatch logs for the keyword DECRYP_ERROR. Configure the Lambda function to use Amazon Simple Notification Service (Amazon SNS) to send a notification.

Answer: C

Explanation:
CloudWatch Logs can use filter expressions. For example, find a specific IP inside of a log Or count occurrences of "ERROR" in your logs - Metric filters can be used to trigger CloudWatch alarms.

NEW QUESTION # 350
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DVA-C02 - AWS Certified Developer - Associate Pass-Sure Pass Test Guide

100% Pass Quiz Amazon - DVA-C02 - AWS Certified Developer - Associate Latest Pass Test Guide

Amazon AWS Certified Developer - Associate Sample Questions (Q345-Q350):

DVA-C02 practice braindumps & DVA-C02 test prep cram