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AWS Certified Developer - Associate (DVA-C02)

The AWS Certified Developer – Associate (DVA-C02) validates your proficiency in developing, testing, deploying, and debugging AWS-based applications. It is an intermediate-level certification primarily focused on serverless architectures, CI/CD workflows, and security best practices.



---------- Question 1
Your application uses Amazon DynamoDB. You are experiencing performance issues due to uneven data distribution across partitions, resulting in hotspotting on certain partitions. Which strategy BEST mitigates this issue?
  1. Increase the provisioned read and write capacity for the affected partitions.
  2. Employ a more efficient query pattern by optimizing your queries and using indexes.
  3. Use a composite primary key with a high-cardinality partition key to distribute data evenly.
  4. Upgrade to a larger DynamoDB instance type.

---------- Question 2
Your application logs are scattered across various AWS services, making troubleshooting complex. You need a centralized location for log aggregation and analysis to improve observability. Which service is MOST suitable for this purpose?
  1. Amazon S3
  2. Amazon CloudWatch Logs
  3. Amazon DynamoDB
  4. AWS X-Ray

---------- Question 3
Your application experiences intermittent performance degradation. You've implemented detailed logging and tracing using AWS X-Ray. While analyzing X-Ray traces, you notice unusually high latency in specific segments of your application. The latency appears to be correlated with specific requests originating from a particular geographic region. What is the MOST likely cause of the performance problem, and how can you address it?
  1. Insufficient CPU resources allocated to your EC2 instances. Increase instance size.
  2. Network latency between your application and a database. Optimize the database queries.
  3. High network latency between the application and users in that geographic region. Implement a Content Delivery Network (CDN).
  4. Memory leaks in your application code. Perform memory profiling and optimize code.

---------- Question 4
Your application is experiencing performance bottlenecks, and you suspect the database queries are inefficient. You need to pinpoint the problematic queries and identify opportunities for optimization. Which AWS service will help you analyze and visualize the performance of your database queries most effectively?
  1. Amazon CloudWatch
  2. AWS X-Ray
  3. Amazon CloudTrail
  4. AWS Systems Manager

---------- Question 5
You are developing a new application and need to implement authentication. Your application needs to integrate with an existing corporate identity provider using SAML. Which AWS service BEST supports this requirement, and what's the crucial security consideration?
  1. AWS IAM with custom policies. Security Consideration: Regularly rotate IAM credentials.
  2. Amazon Cognito User Pools. Security Consideration: Securely manage Cognito user pool credentials.
  3. Amazon Cognito Identity Pools with an IAM identity provider. Security Consideration: Configure appropriate IAM roles for federated users.
  4. AWS WAF with custom authentication rules. Security Consideration: Regularly update WAF rules to address new threats.

---------- Question 6
Your application needs to securely store API keys and database credentials. You want to manage these sensitive credentials without hardcoding them directly into your application code. What is the most appropriate AWS service to accomplish this while maintaining a robust and secure configuration?
  1. Amazon S3 with server-side encryption.
  2. AWS Systems Manager Parameter Store.
  3. Amazon DynamoDB with encryption at rest.
  4. Using environment variables directly in your application code.

---------- Question 7
Your team uses AWS CodePipeline for CI/CD. During a recent deployment, a new version of your application caused a production outage. The deployment was fully automated, and no manual approvals were set up. Which improvement would BEST mitigate the risk of future production outages caused by automated deployments?
  1. Increase the frequency of deployments.
  2. Remove all automated tests from the pipeline.
  3. Implement a manual approval stage in CodePipeline before deploying to production.
  4. Disable automated deployments completely and perform all deployments manually.

---------- Question 8
Your application uses Amazon DynamoDB. You're experiencing performance issues during peak hours due to hot partitions. Your application currently uses a single partition key and doesn't implement any caching mechanisms. You have read and write operations happening frequently. What is the BEST solution to improve performance and reduce hot partitions?
  1. Increase the provisioned throughput for the DynamoDB table.
  2. Implement a composite key with a suitable range key to distribute traffic more evenly across partitions.
  3. Upgrade the DynamoDB instance size.
  4. Optimize query patterns by limiting the number of read operations.

---------- Question 9
A critical Lambda function in your application is consistently exceeding its configured timeout. After reviewing logs and metrics, you notice that a specific database query takes an unexpectedly long time to complete. How can you BEST optimize this situation, and why would other solutions be insufficient?
  1. Increase the Lambda function's timeout setting.
  2. Increase the Lambda function's memory allocation.
  3. Optimize the database query and consider using caching for frequently accessed data.
  4. Scale up the number of Lambda function instances to handle more concurrent requests.

---------- Question 10
Your e-commerce application uses a microservices architecture with separate services for product catalog, shopping cart, and order processing. The order processing service experiences intermittent failures due to high load during peak hours. Which design pattern would best improve the resilience of the order processing service and prevent data loss during these periods, while also ensuring eventual consistency across services?
  1. Tightly coupled synchronous communication with immediate error handling.
  2. Loosely coupled asynchronous communication with a message queue and dead-letter queue.
  3. Monolithic architecture to simplify deployment and reduce inter-service communication overhead.
  4. Event-driven architecture relying solely on Amazon SNS for immediate notification of order status.

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