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Amazon DVA-C02 certification exam covers a wide range of topics such as AWS core services, AWS development and deployment, security, and troubleshooting. Candidates are expected to have a good understanding of these topics to pass the exam. DVA-C02 exam is designed to test the candidate's ability to develop, deploy, and maintain applications on the AWS platform.

Amazon DVA-C02 is an exam that tests the skills and knowledge of candidates who wish to become an AWS Certified Developer - Associate. AWS Certified Developer - Associate certification is ideal for developers who have experience with AWS services and want to demonstrate their expertise in designing, developing, and deploying cloud-based applications using AWS technologies.

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To earn the AWS Certified Developer - Associate certification, candidates must pass the DVA-C02 exam. DVA-C02 exam consists of multiple-choice and multiple-response questions that cover various topics, such as AWS core services, AWS databases, AWS security, AWS deployment, and AWS troubleshooting. DVA-C02 Exam Duration is 130 minutes, and the passing score is 720 out of 1000.

Amazon AWS Certified Developer - Associate Sample Questions (Q870-Q875):

NEW QUESTION # 870
A developer works for a company that only has a single pre-production AWS account with an AWS CloudFormation AWS Serverless Application Model (AWS SAM) stack. The developer made changes to an existing AWS Lambda function specified in the AWS SAM template and additional Amazon Simple Notification service (Amazon SNS) topics.
The developer wants to do a one-time deploy of the changes to test if the changes are working.
The developer does not want to impact the existing pre-production application that is currently being used by other team members as part of the release pipeline.
Which solution will meet these requirements?

A. Use the AWS SAM CLI to package and deploy the SAM application to a new AWS account designated for a development environment.
B. Use the AWS SAM CLI to package and deploy the SAM application to the pre-production AWS account. Specify the debug parameter.
C. Update the CloudFormation stack in the pre-production account. Add a separate stage that points to a new AWS account designated for a development environment.
D. Use the AWS SAM CLI to package and create a change set against the pre-production AWS account. Execute the change set in a new AWS account designated for a development environment.

Answer: A

Explanation:
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/using-sam-cli- deploy.html

NEW QUESTION # 871
A team has an Amazon API Gateway REST API that consists of a single resource and a GET method that is backed by an AWS Lambda integration.
A developer makes a change to the Lambda function and deploys the function as a new version.
The developer needs to set up a process to test the new version of the function before using the new version in production. The tests must not affect the production REST API.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a new stage for the REST API. Create a stage variable. Assign the stage variable to the Lambda function. Set the API Gateway integrated Lambda function name to the stage variable.
Deploy the new version.
B. Update the Lambda integration of the existing GET method to point to the updated version of the Lambda function. Deploy the new version.
C. Create a new resource in the REST API. Add a GET method to the new resource, and add a Lambda integration to the updated version of the Lambda function. Deploy the new version.
D. Create a new REST API. Add a resource that has a single GET method that is integrated with the updated version of the Lambda function.

Answer: A

NEW QUESTION # 872
A developer is deploying a company's application to Amazon EC2 instances The application generates gigabytes of data files each day The files are rarely accessed but the files must be available to the application's users within minutes of a request during the first year of storage The company must retain the files for 7 years.
How can the developer implement the application to meet these requirements MOST cost-effectively?

A. Store the files in an Amazon S3 bucket Use the S3 Glacier Instant Retrieval storage class Create an S3 Lifecycle policy to transition the files to the S3 Glacier Deep Archive storage class after 1 year
B. Store the files on an Amazon Elastic Block Store (Amazon EBS) volume Use Amazon Data Lifecycle Manager (Amazon DLM) to create snapshots of the EBS volumes and to store those snapshots in Amazon S3
C. Store the files on an Amazon Elastic File System (Amazon EFS) mount. Configure EFS lifecycle management to transition the files to the EFS Standard-Infrequent Access (Standard-IA) storage class after 1 year.
D. Store the files in an Amazon S3 bucket. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition the files to the S3 Glacier Flexible Retrieval storage class after 1 year.

Answer: A

Explanation:
Amazon S3 Glacier Instant Retrieval is an archive storage class that delivers the lowest-cost storage for long- lived data that is rarely accessed and requires retrieval in milliseconds. With S3 Glacier Instant Retrieval, you can save up to 68% on storage costs compared to using the S3 Standard-Infrequent Access (S3 Standard-IA) storage class, when your data is accessed once per quarter. https://aws.amazon.com/s3/storage-classes/glacier
/instant-retrieval/
* Understanding Storage Requirements:
* Files are large and infrequently accessed, but need to be available within minutes when requested in the first year.
* Long-term (7-year) retention is required.
* Cost-effectiveness is a top priority.
* Why S3 Glacier Instant Retrieval:
* Matches the retrieval requirements (access within minutes).
* More cost-effective than S3 Standard for infrequently accessed data.
* Simpler to use than traditional Glacier where retrievals take hours.
* Why S3 Glacier Deep Archive:
* Most cost-effective S3 storage class for long term archival.
* Meets the 7-year retention requirement.
* S3 Lifecycle Policy:
* Automate the transition from Glacier Instant Retrieval to Glacier Deep Archive after one year.
* Optimize costs by matching storage classes to access patterns.
References:
Amazon S3 Storage Classes: https://aws.amazon.com/s3/storage-classes/
S3 Glacier Instant Retrieval: [invalid URL removed]
S3 Glacier Deep Archive: [invalid URL removed]
S3 Lifecycle Policies: https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lifecycle-mgmt.html

NEW QUESTION # 873
A developer is designing a serverless application for a game in which users register and log in through a web browser The application makes requests on behalf of users to a set of AWS Lambda functions that run behind an Amazon API Gateway HTTP API The developer needs to implement a solution to register and log in users on the application's sign-in page. The solution must minimize operational overhead and must minimize ongoing management of user identities.
Which solution will meet these requirements'?

A. Create Amazon Cognito user pools for external social identity providers Configure 1AM roles for the identity pools.
B. Program the sign-in page to create users' 1AM groups with the 1AM roles attached to the groups
C. Configure the sign-in page to register and store the users and their passwords in an Amazon DynamoDB table with an attached IAM policy.
D. Create an Amazon RDS for SQL Server DB instance to store the users and manage the permissions to the backend resources in AWS

Answer: A

Explanation:
* Amazon Cognito User Pools: A managed user directory service, simplifying user registration and login.
* Social Identity Providers: Cognito supports integration with external providers (e.g., Google, Facebook), reducing development effort.
* IAM Roles for Authorization: Cognito-managed IAM roles grant fine-grained access to AWS resources (like Lambda functions).
* Operational Overhead: Cognito minimizes the need to manage user identities and credentials independently.
References:
* Amazon Cognito Documentation https://docs.aws.amazon.com/cognito/
* Cognito User Pools for Web Applications: https://docs.aws.amazon.com/cognito/latest/developerguide
/cognito-user-pools-app-integration.html

NEW QUESTION # 874
A company developed an API application on AWS by using Amazon CloudFront, Amazon API Gateway, and AWS Lambda. The API has a minimum of four requests every second. A developer notices that many API users run the same query by using the POST method. The developer wants to cache the POST request to optimize the API resources.
Which solution will meet these requirements?

A. Override the cache method in the selected stage of API Gateway. Select the POST method.
B. Configure the CloudFront cache. Update the application to return cached content based upon the default request headers.
C. Save the latest request response in Lambda /tmp directory. Update the Lambda function to check the
/tmp directory.
D. Save the latest request in AWS Systems Manager Parameter Store. Modify the Lambda function to take the latest request response from Parameter Store.

Answer: A

Explanation:
Amazon API Gateway provides tools for creating and documenting web APIs that route HTTP requests to Lambda functions2. You can secure access to your API with authentication and authorization controls. Your APIs can serve traffic over the internet or can be accessible only within your VPC2. You can override the cache method in the selected stage of API Gateway2. Therefore, option B is correct.

NEW QUESTION # 875
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