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The DVA-C02 Exam covers a wide range of topics related to AWS development, including AWS core services such as EC2, S3, and RDS, as well as AWS developer tools like AWS CodeDeploy, AWS CodePipeline, and AWS CloudFormation. Additionally, the exam tests candidates on their knowledge of programming languages commonly used in AWS development, such as Python, Java, and Node.js.

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Amazon DVA-C02 (AWS Certified Developer - Associate) certification is designed for individuals who want to demonstrate their expertise in developing and deploying cloud-based applications using Amazon Web Services (AWS). AWS Certified Developer - Associate certification is ideal for developers who work with AWS and want to validate their skills and knowledge of AWS services and development best practices. AWS Certified Developer - Associate certification exam covers a range of topics, including AWS core services, AWS architecture and design, security, and deployment and troubleshooting.

Amazon AWS Certified Developer - Associate Sample Questions (Q435-Q440):

NEW QUESTION # 435
A developer is working on an ecommerce application that stores data in an Amazon RDS for MySQL cluster. The developer needs to implement a caching layer for the application to retrieve information about the most viewed products.
Which solution will meet these requirements?

Answer: C


NEW QUESTION # 436
A company needs to distribute firmware updates to its customers around the world.
Which service will allow easy and secure control of the access to the downloads at the lowest cost?

Answer: B

Explanation:
Explanation
This solution allows easy and secure control of access to the downloads at the lowest cost because it uses a content delivery network (CDN) that can cache and distribute firmware updates to customers around the world, and uses a mechanism that can restrict access to specific files or versions. Amazon CloudFront is a CDN that can improve performance, availability, and security of web applications by delivering content from edge locations closer to customers. Amazon S3 is a storage service that can store firmware updates in buckets and objects. Signed URLs are URLs that include additional information, such as an expiration date and time, that give users temporary access to specific objects in S3 buckets. The developer can use CloudFront to serve firmware updates from S3 buckets and use signed URLs to control who can download them and for how long.
Creating a dedicated CloudFront distribution for each customer will incur unnecessary costs and complexity.
Using Amazon CloudFront with AWS Lambda@Edge will require additional programming overhead to implement custom logic at the edge locations. Using Amazon API Gateway and AWS Lambda to control access to an S3 bucket will also require additional programming overhead and may not provide optimal performance or availability.


NEW QUESTION # 437
Users are reporting errors in an application. The application consists of several microservices that are deployed on Amazon Elastic Container Service (Amazon ECS) with AWS Fargate.
Which combination of steps should a developer take to fix the errors? (Choose two.)

Answer: B,C


NEW QUESTION # 438
A developer has built an application that inserts data into an Amazon DynamoDB table. The table is configured to use provisioned capacity. The application is deployed on a burstable nano Amazon EC2 instance. The application logs show that the application has been failing because of a ProvisionedThroughputExceededException error.
Which actions should the developer take to resolve this issue? (Select TWO.)

Answer: A,E

Explanation:
Requirement Summary:
DynamoDB Provisioned Mode
ProvisionedThroughputExceededException error occurring
App hosted on a small burstable EC2 instance
Option A: Move to a larger EC2 instance
May improve local performance, but does not solve DynamoDB provisioned throughput limits.
Option B: Increase DynamoDB RCUs
Valid: This directly increases the read throughput capacity of the table.
Helps handle more traffic and reduce throughput exceptions.
Option C: Reduce frequency via exponential backoff
Best practice: Using exponential backoff and jitter reduces request pressure and spreads retries out to avoid spiking.
Option D: Increase frequency of retries by reducing delay
Opposite of best practice. Increases load, worsening the issue.
Option E: Change to on-demand mode
Also valid in general, but question is scoped around provisioned capacity.
Since minimizing cost or workload type isn't mentioned, and scaling the existing model is the focus, prefer B and C.
ProvisionedThroughputExceededException: https://docs.aws.amazon.com/amazondynamodb/latest
/developerguide/HandlingErrors.html
Exponential backoff: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.
Errors.html
Capacity modes: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.
ReadWriteCapacityMode.html


NEW QUESTION # 439
A developer is reviewing an AWS Step Functions state machine to process files that are uploaded to an Amazon S3 bucket. The state machine is created by an AWS CloudFormation template. The state machine includes three sequential AWS Lambda functions. The state machine runs when new objects are uploaded to the S3 bucket. Full logging to Amazon CloudWatch and AWS X-Ray is enabled in the template.
When the developer reviews the state machine output, the developer sees that the logs include sensitive information. The developer must prevent the logs from storing sensitive information.
Which solution will meet this requirement?

Answer: B

Explanation:
Setting IncludeExecutionData to false prevents Step Functions from including execution input and output data in CloudWatch Logs. This keeps sensitive payload data out of the logs while still allowing the state machine to log execution events.


NEW QUESTION # 440
......

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