DVA-C02 Prep Guide & Mock DVA-C02 Exams

BTW, DOWNLOAD part of Actual4Dumps DVA-C02 dumps from Cloud Storage: https://drive.google.com/open?id=1bvBt0cHJUGySxi1HTR3qm_opiIwZNmBk

Our DVA-C02 exam question has been widely praised by all of our customers in many countries and our company has become the leader in this field. Our DVA-C02 exam questions boost varied functions and they include the self-learning and the self-assessment functions, the timing function and the function to stimulate the DVA-C02 Exam to make you learn efficiently and easily. There are many advantages of our DVA-C02 study tool. To understand the details of our DVA-C02 practice braindump, you can visit our website Actual4Dumps.

To prepare for the AWS Certified Developer - Associate exam, candidates can take advantage of AWS's official training courses and certification resources. These resources include online training courses, practice exams, and study guides. Candidates can also gain hands-on experience by working on real projects on the AWS platform, which will help them develop the skills and knowledge required to pass the exam.

>> DVA-C02 Prep Guide <<

Mock Amazon DVA-C02 Exams, Reliable DVA-C02 Exam Online

Actually we eliminate the barriers blocking you from our DVA-C02 practice materials. All types of our DVA-C02 exam questions are priced favorably on your wishes. Obtaining our DVA-C02 study guide in the palm of your hand, you can achieve a higher rate of success. Besides, there are free demos for your careful consideration to satisfy individual needs on our DVA-C02 learning prep. You can free download them to check if it is the exact one that you want.

The DVA-C02 exam measures the candidate's knowledge in various aspects of AWS development, including AWS core services, AWS security, serverless applications, and deploying and managing AWS services. DVA-C02 Exam consists of 65 multiple-choice and multiple-response questions, and the candidate has 130 minutes to complete the exam.

Amazon AWS Certified Developer - Associate Sample Questions (Q323-Q328):

NEW QUESTION # 323
A developer is updating several AWS Lambda functions and notices that all the Lambda functions share the same custom libraries. The developer wants to centralize all the libraries, update the libraries in a convenient way, and keep the libraries versioned.
Which solution will meet these requirements with the LEAST development effort?

A. Create an AWS CodeArtifact repository that contains all the custom libraries.
B. Create an Amazon Elastic File System (Amazon EFS) file system to store all the custom libraries.
C. Create a Lambda layer that contains all the custom libraries.
D. Create a custom container image for the Lambda functions to save all the custom libraries.

Answer: C

Explanation:
The most efficient solution is to use a Lambda layer to store the common libraries, update them in one place, and reference them from each Lambda function that requires them.

NEW QUESTION # 324
A developer has created an AWS Lambda function that is written in Python. The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table. The function is successfully invoked from an S3 event notification when an object is created.
However, the function fails when it attempts to write to the DynamoDB table.
What is the MOST likely cause of this issue?

A. The DynamoDB table is not running in the same Availability Zone as the Lambda function.
B. DynamoDB table requires a global secondary index (GSI) to support writes.
C. The Lambda function's concurrency limit has been exceeded.
D. The Lambda function does not have IAM permissions to write to DynamoDB.

Answer: D

Explanation:
The Lambda function needs to have the appropriate IAM permissions to write to the DynamoDB table. If the function does not have these permissions, it will fail when it attempts to write to the table.
https://aws.amazon.com/blogs/security/how-to-create-an-aws-iam-policy-to-grant-aws-lambda- access-to-an-amazon-dynamodb-table

NEW QUESTION # 325
A company is running a custom web application on Amazon EC2 instances behind an Application Load Balancer. The instances run in an Auto Scaling group. The company's development team is using AWS CloudFormation to deploy all the services. The application is time-consuming to install and configure when the development team launches a new instance.
Which combination of steps should a developer take to optimize the performance when a new instance is launched? (Select TWO.)

A. Use an AWS Marketplace Amazon Machine Image (AMI) with a prebuilt application.
B. Use CloudFormation helper scripts to install and configure the application.
C. Update the launch template resource in the CloudFormation template.
D. Create a prebuilt Amazon Machine Image (AMI) with the application installed and configured.
E. Use AWS Systems Manager Run Command to install and configure the application.

Answer: C,D

Explanation:
To reduce the time it takes for new Auto Scaling instances to become ready, the most effective optimization is to bake the time-consuming installation and configuration steps into a custom AMI. By creating a prebuilt AMI that already contains the application binaries, dependencies, and baseline configuration, new instances start from an image that is already near "ready to serve." This minimizes lengthy bootstrapping and significantly shortens the time required to pass ALB health checks and enter service. Therefore, creating a prebuilt AMI (B) is a primary performance optimization for faster scaling events and lower deployment variability.
After creating the AMI, the Auto Scaling group must actually use it. Because the infrastructure is managed with AWS CloudFormation, the developer should update the launch template resource (or launch configuration equivalent) in the CloudFormation template to reference the new AMI ID. This ensures that all newly launched instances use the optimized image consistently and that the change is tracked and repeatable as part of infrastructure as code. That is option C.
The other options are less optimal for the stated goal. Installing and configuring the app at launch time via Systems Manager Run Command (D) or CloudFormation helper scripts (E) still performs the expensive work during instance initialization, which prolongs launch time and can create variance (for example, dependency download time, repo availability, or transient network slowness). Option A (Marketplace AMI) could help only if a suitable prebuilt image exists for the exact custom application-which is unlikely for a proprietary application-and it also reduces control over the build and hardening process compared to maintaining an internal golden AMI.
Therefore, the best combination is B (bake the app into a custom AMI) and C (update the CloudFormation- managed launch template to use that AMI).

NEW QUESTION # 326
A developer is configuring an applications deployment environment in AWS CodePipeine. The application code is stored in a GitHub repository. The developer wants to ensure that the repository package's unit tests run in the new deployment environment. The deployment has already set the pipeline's source provider to GitHub and has specified the repository and branch to use in the deployment.
When combination of steps should the developer take next to meet these requirements with the least the LEAST overhead' (Select TWO).

A. Create an AWS CodeBuid project. Add the repository package's build and test commands to the projects buildspec
B. Create an AWS CodeDeploy protect. Add the repository package's build and test commands to the project's buildspec
C. Add a new stage to the pipeline alter the source stage. Add an action to the new stage. Speedy the newly created protect as the action provider. Specify the source artifact as the action's input artifact.
D. Add an action to the source stage. Specify the newly created project as the action provider. Specify the build attract as the actions input artifact.
E. Create an AWS CodeCommt project. Add the repository package's build and test commands to the protects buildspec

Answer: A,C

Explanation:
This solution will ensure that the repository package's unit tests run in the new deployment environment with the least overhead because it uses AWS CodeBuild to build and test the code in a fully managed service, and AWS CodePipeline to orchestrate the deployment stages and actions. Option A is not optimal because it will use AWS CodeCommit instead of AWS CodeBuild, which is a source control service, not a build and test service. Option C is not optimal because it will use AWS CodeDeploy instead of AWS CodeBuild, which is a deployment service, not a build and test service. Option D is not optimal because it will add an action to the source stage instead of creating a new stage, which will not follow the best practice of separating different deployment phases.
References: AWS CodeBuild, AWS CodePipeline

NEW QUESTION # 327
A company has an image storage web application that runs on AWS. The company hosts the application on Amazon EC2 instances in an Auto Scaling group. The Auto Scaling group acts as the target group for an Application Load Balancer (ALB) and uses an Amazon S3 bucket to store the images for sale.
The company wants to develop a feature to test system requests. The feature will direct requests to a separate target group that hosts a new beta version of the application.
Which solution will meet this requirement with the LEAST effort?

A. Create a new Auto Scaling group and target group for the beta version of the application. Update the ALB routing rule with a condition that looks for a cookie named version that has a value of beta. Update the test system code to use this cookie to test the beta version of the application.
B. Create a new Auto Scaling group and target group for the beta version of the application. Update the ALB routing rule with a condition that looks for a cookie named version that has a value of beta. Use Amazon CloudFront with Lambda@Edge to update the test system requests to add the required cookie when the requests go to the ALB.
C. Create a new ALB, Auto Scaling group, and target group for the beta version of the application.
Configure an alternate Amazon Route 53 record for the new ALB endpoint. Use the alternate Route 53 endpoint in the test system requests to test the beta version of the application.
D. Create a new ALB, Auto Scaling group, and target group for the beta version of the application.
Use Amazon CloudFront with Lambda@Edge to determine which specific request will go to the new ALB. Use the CloudFront endpoint to send the test system requests to test the beta version of the application.

Answer: A

Explanation:
This solution will allow the company to direct requests to a separate target group that hosts the new beta version of the application without having to create a new ALB or use additional services such as Amazon Route 53 or Amazon CloudFront.
Option D adds additional complexity and effort compared to option A, which simply involves updating the ALB routing rule with a condition that looks for a cookie named version that has a value of beta and updating the test system code to use this cookie to test the beta version of the application.

NEW QUESTION # 328
......

Mock DVA-C02 Exams: https://www.actual4dumps.com/DVA-C02-study-material.html

BTW, DOWNLOAD part of Actual4Dumps DVA-C02 dumps from Cloud Storage: https://drive.google.com/open?id=1bvBt0cHJUGySxi1HTR3qm_opiIwZNmBk