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The study material to get Amazon AWS Certified Developer - Associate certified should be according to individual's learning style and experience. Real Amazon DVA-C02 Exam Questions certification makes you more dedicated and professional as it will provide you complete information required to work within a professional working environment.

Amazon DVA-C02: AWS Certified Developer - Associate is a certification exam offered by Amazon Web Services (AWS) for individuals who want to demonstrate their skills and knowledge in developing and maintaining applications on the AWS platform. DVA-C02 Exam is designed to validate an individual's ability to design, develop, and deploy cloud-based applications using AWS services and best practices.

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Amazon AWS Certified Developer - Associate Sample Questions (Q213-Q218):

NEW QUESTION # 213
A developer is creating a database of products. Queries for frequently accessed products must have retrieval times of microseconds. To ensure data consistency, the application cache must be updated whenever products are added, changed, or deleted.
Which solution will meet these requirements?

A. Set up an Amazon RDS database and an Amazon DynamoDB Accelerator (DAX) cluster. Specify a TTL setting for the DAX cluster.
B. Set up an Amazon RDS database and an Amazon ElastiCache for Redis cluster. Implement a lazy loading caching strategy with ElastiCache.
C. Setup an Amazon DynamoDB database that has an in-memory cache. Implement a lazy loading caching strategy in the application.
D. Set up an Amazon DynamoDB database and a DynamoDB Accelerator (DAX) cluster.

Answer: D

NEW QUESTION # 214
A developer is creating a stock trading application. The developer needs a solution to send text messages to application users to confirmation when a trade has been completed.
The solution must deliver messages in the order a user makes stock trades. The solution must not send duplicate messages.
Which solution will meet these requirements?

A. Create an Amazon Simple Notification Service (SNS) FIFO topic. Configure the application to use the AWS SDK to publish notifications to the SNS topic to send SMS messages to the users.
B. Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Use the SendMessageln API call to send the trade confirmation messages to the queue. Use the SendMessageOut API to send the messages to users by using the information provided in the trade confirmation message.
C. Configure the application to publish messages to an Amazon Data Firehose delivery stream. Configure the delivery stream to have a destination of each user's mobile phone number that is passed in the trade confirmation message.
D. Configure a pipe in Amazon EventBridge Pipes. Connect the application to the pipe as a source.
Configure the pipe to use each user's mobile phone number as a target. Configure the pipe to send incoming events to the users.

Answer: D

NEW QUESTION # 215
A company has an application that uses AWS CodePipeline to automate its continuous integration and continuous delivery (CI/CD) workflow. The application uses AWS CodeCommit for version control. A developer who was working on one of the tasks did not pull the most recent changes from the main branch. A week later, the developer noticed merge conflicts.
How can the developer resolve the merge conflicts in the developer's branch with the LEAST development effort?

A. Create a new branch. Apply the changes from the previous branch.
B. Use the Commit Visualizer view to compare the commits when a feature was added. Fix the merge conflicts.
C. Clone the repository. Create a new branch. Update the branch with the changes.
D. Stop the pull from the main branch to the feature branch. Rebase the feature branch from the main branch.

Answer: D

Explanation:
Using the git rebase command to rebase a repository changes the history of a repository, which might cause commits to appear out of order.
https://docs.aws.amazon.com/codecommit/latest/userguide/how-to-view-commit-details.html

NEW QUESTION # 216
A developer needs to perform geographic load testing of an API. The developer must deploy resources to multiple AWS Regions to support the load testing of the API.
How can the developer meet these requirements without additional application code?

A. Create an AWS Systems Manager document that defines the resources. Use the document to create the resources in the desired Regions.
B. Create and deploy an AWS Lambda function in each desired Region. Configure the Lambda function to create a stack from an AWS CloudFormation template in that Region when the function is invoked.
C. Create an AWS CloudFormation template that defines the load test resources. Use the AWS CLI create-stack-set command to create a stack set in the desired Regions.
D. Create an AWS CloudFormation template that defines the load test resources. Use the AWS CLI deploy command to create a stack from the template in each Region.

Answer: C

Explanation:
Explanation
AWS CloudFormation is a service that allows developers to model and provision AWS resources using templates. A CloudFormation template can define the load test resources, such as EC2 instances, load balancers, and Auto Scaling groups. A CloudFormation stack set is a collection of stacks that can be created and managed from a single template in multiple Regions and accounts. The AWS CLI create-stack-set command can be used to create a stack set from a template and specify the Regions where the stacks should be created. Reference: Working with AWS CloudFormation stack sets

NEW QUESTION # 217
A developer is creating an AWS Lambda function that needs credentials to connect to an Amazon RDS for MySQL database. An Amazon S3 bucket currently stores the credentials. The developer needs to improve the existing solution by implementing credential rotation and secure storage. The developer also needs to provide integration with the Lambda function.
Which solution should the developer use to store and retrieve the credentials with the LEAST management overhead?

A. Store the credentials in AWS Secrets Manager. Set the secret type to Credentials for Amazon RDS database. Select the database that the secret will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the secret. Enable automatic rotation for the secret. Use the secret from Secrets Manager on the Lambda function to connect to the database.
B. Encrypt the credentials by using AWS Key Management Service (AWS KMS). Store the credentials in an Amazon DynamoDB table. Create a second Lambda function to rotate the credentials. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the DynamoDB table. Update the database to use the generated credentials. Retrieve the credentials from DynamoDB with the first Lambda function. Connect to the database.
C. Encrypt the credentials with the default AWS Key Management Service (AWS KMS) key. Store the credentials as environment variables for the Lambda function. Create a second Lambda function to generate new credentials and to rotate the credentials by updating the environment variables of the first Lambda function. Invoke the second Lambda function by using an Amazon EventBridge rule that runs on a schedule. Update the database to use the new credentials. On the first Lambda function, retrieve the credentials from the environment variables. Decrypt the credentials by using AWS KMS, Connect to the database.
D. Store the credentials in AWS Systems Manager Parameter Store. Select the database that the parameter will access. Use the default AWS Key Management Service (AWS KMS) key to encrypt the parameter.
Enable automatic rotation for the parameter. Use the parameter from Parameter Store on the Lambda function to connect to the database.

Answer: A

Explanation:
AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. Secrets Manager enables you to store, retrieve, and rotate secrets such as database credentials, API keys, and passwords. Secrets Manager supports a secret type for RDS databases, which allows you to select an existing RDS database instance and generate credentials for it. Secrets Manager encrypts the secret using AWS Key Management Service (AWS KMS) keys and enables automatic rotation of the secret at a specified interval. A Lambda function can use the AWS SDK or CLI to retrieve the secret from Secrets Manager and use it to connect to the database. Reference: Rotating your AWS Secrets Manager secrets

NEW QUESTION # 218
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Amazon AWS Certified Developer - Associate Sample Questions (Q213-Q218):

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