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Quiz 2025 DVA-C02: Trustable New AWS Certified Developer - Associate Test Voucher
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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam that is designed to test the knowledge and skills of individuals who are interested in becoming AWS Certified Developers. DVA-C02 exam is ideal for developers who have experience in developing and maintaining applications on the AWS platform. DVA-C02 Exam assesses the candidate's ability to design, develop, and deploy cloud-based solutions using AWS services and tools.
Amazon AWS Certified Developer - Associate Sample Questions (Q393-Q398):
NEW QUESTION # 393
A developer is using AWS Amplify Hosting to build and deploy an application. The developer is receiving an increased number of bug reports from users. The developer wants to add end-to-end testing to the application to eliminate as many bugs as possible before the bugs reach production.
Which solution should the developer implement to meet these requirements?
- A. Create unit tests in the application. Deploy the unit tests by using the amplify push command in the Amplify CLI.
- B. Add a test phase to the amplify.yml build settings for the application.
- C. Add a test phase to the aws-exports.js file for the application.
- D. Run the amplify add test command in the Amplify CLI.
Answer: B
Explanation:
You can run end-to-end (E2E) tests in the test phase of your Amplify app to catch regressions before pushing code to production. The test phase can be configured in the build specification YML.
https://docs.aws.amazon.com/amplify/latest/userguide/running-tests.html
NEW QUESTION # 394
A company has a three-tier application that is deployed in Amazon Elastic Container Service (Amazon ECS). The application is using an Amazon RDS for MySQL DB instance. The application performs more database reads than writes.
During times of peak usage, the application's performance degrades. When this performance degradation occurs, the DB instance's ReadLatency metric in Amazon CloudWatch increases suddenly.
How should a developer modify the application to improve performance?
- A. Modify the ECS task definition to increase the task memory.
- B. Add read capacity units (RCUs) to the DB instance.
- C. Scale the ECS cluster to contain more ECS instances.
- D. Use Amazon ElastiCache to cache query results.
Answer: D
NEW QUESTION # 395
A company has an existing application that has hardcoded database credentials A developer needs to modify the existing application The application is deployed in two AWS Regions with an active-passive failover configuration to meet company's disaster recovery strategy The developer needs a solution to store the credentials outside the code. The solution must comply With the company's disaster recovery strategy Which solution Will meet these requirements in the MOST secure way?
- A. Store the credentials in AWS Secrets Manager in the primary Region. Enable secret replication to the secondary Region Update the application to use the Amazon Resource Name (ARN) based on the Region.
- B. Store credentials in a config file. Upload the config file to an Amazon Elastic File System (Amazon EFS) file system. Update the application to use the Amazon EFS file system Regional endpoints to access the config file in the primary and secondary Regions.
- C. Store credentials in a config file. Upload the config file to an S3 bucket in me primary Region. Enable Cross-Region Replication (CRR) to an S3 bucket in the secondary region. Update the application to access the config file from the S3 bucket based on the Region.
- D. Store credentials in AWS Systems Manager Parameter Store in the primary Region. Enable parameter replication to the secondary Region. Update the application to use the Amazon Resource Name (ARN) based on the Region.
Answer: A
Explanation:
Explanation
AWS Secrets Manager is a service that allows you to store and manage secrets, such as database credentials, API keys, and passwords, in a secure and centralized way. It also provides features such as automatic secret rotation, auditing, and monitoring1. By using AWS Secrets Manager, you can avoid hardcoding credentials in your code, which is a bad security practice and makes it difficult to update them. You can also replicate your secrets to another Region, which is useful for disaster recovery purposes2. To access your secrets from your application, you can use the ARN of the secret, which is a unique identifier that includes the Region name. This way, your application can use the appropriate secret based on the Region where it is deployed3.
References:
* AWS Secrets Manager
* Replicating and sharing secrets
* Using your own encryption keys
NEW QUESTION # 396
A developer is creating an application that will be deployed on IoT devices. The application will send data to a RESTful API that is deployed as an AWS Lambda function. The application will assign each API request a unique identifier. The volume of API requests from the application can randomly increase at any given time of day.
During periods of request throttling, the application might need to retry requests. The API must be able to handle duplicate requests without inconsistencies or data loss.
Which solution will meet these requirements?
- A. Create an Amazon RDS for MySQL DB instance. Store the unique identifier for each request in a database table. Modify the Lambda function to check the table for the identifier before processing the request.
- B. Create an Amazon DynamoDB table. Store the unique identifier for each request in the table. Modify the Lambda function to check the table for the identifier before processing the request.
- C. Create an Amazon DynamoDB table. Store the unique identifier for each request in the table. Modify the Lambda function to return a client error response when the function receives a duplicate request.
- D. Create an Amazon ElastiCache for Memcached instance. Store the unique identifier for each request in the cache. Modify the Lambda function to check the cache for the identifier before processing the request.
Answer: B
Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that can store and retrieve any amount of data with high availability and performance. DynamoDB can handle concurrent requests from multiple IoT devices without throttling or data loss. To prevent duplicate requests from causing inconsistencies or data loss, the Lambda function can use DynamoDB conditional writes to check if the unique identifier for each request already exists in the table before processing the request. If the identifier exists, the function can skip or abort the request; otherwise, it can process the request and store the identifier in the table. Reference: Using conditional writes
NEW QUESTION # 397
A developer is building a microservice that uses AWS Lambda to process messages from an Amazon Simple Queue Service (Amazon SQS) standard queue. The Lambda function calls external APIs to enrich the SOS message data before loading the data into an Amazon Redshift data warehouse. The SOS queue must handle a maximum of 1.000 messages per second.
During initial testing, the Lambda function repeatedly inserted duplicate data into the Amazon Redshift table. The duplicate data led to a problem with data analysis. All duplicate messages were submitted to the queue within 1 minute of each other.
How should the developer resolve this issue?
- A. Configure a message group ID for every sent message. Enable message deduplication on the SQS standard queue.
- B. Create an SOS FIFO queue. Enable message deduplication on the SOS FIFO queue.
- C. Use Lambda's temporary storage to keep track of processed message identifiers.
- D. Reduce the maximum Lambda concurrency that the SOS queue can invoke.
Answer: B
NEW QUESTION # 398
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