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In today's competitive industry, only the brightest and most qualified candidates are hired for high-paying positions. Obtaining DVA-C02 is a wonderful approach to be successful because it can draw in prospects and convince companies that you are the finest in your field. Pass the DVA-C02 Exam to establish your expertise in your field and receive certification. However, passing the AWS Certified Developer - Associate DVA-C02 exam is challenging.

The DVA-C02 Exam is designed for developers who have a minimum of one year of experience in developing and maintaining AWS-based applications. Candidates should have a good understanding of at least one programming language, such as Python, Java, or C#. They should also have experience in using AWS services, such as AWS Elastic Beanstalk, AWS CloudFormation, AWS CodeCommit, AWS CodePipeline, and AWS CodeBuild.

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Amazon DVA-C02 exam is a valuable certification for developers who want to demonstrate their skills and knowledge in developing and maintaining AWS-based applications. DVA-C02 exam validates their understanding of AWS core services, databases, security, deployment, and troubleshooting. AWS Certified Developer - Associate certification is also a valuable credential for advancing their career in the cloud computing industry.

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Amazon AWS Certified Developer - Associate Sample Questions (Q204-Q209):

NEW QUESTION # 204
A company is building an application for stock trading. The application needs sub-millisecond latency for processing trade requests. The company uses Amazon DynamoDB to store all the trading data that is used to process each trading request A development team performs load testing on the application and finds that the data retrieval time is higher than expected. The development team needs a solution that reduces the data retrieval time with the least possible effort.
Which solution meets these requirements'?

A. Add local secondary indexes (LSis) for the trading data.
B. Store the trading data m Amazon S3 and use S3 Transfer Acceleration.
C. Use DynamoDB Accelerator (DAX) to cache the trading data.
D. Add retries with exponential back off for DynamoDB queries.

Answer: C

Explanation:
This solution will meet the requirements by using DynamoDB Accelerator (DAX), which is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10 times performance improvement - from milliseconds to microseconds - even at millions of requests per second. The developer can use DAX to cache the trading data that is used to process each trading request, which will reduce the data retrieval time with the least possible effort. Option A is not optimal because it will add local secondary indexes (LSIs) for the trading data, which may not improve the performance or reduce the latency of data retrieval, as LSIs are stored on the same partition as the base table and share the same provisioned throughput. Option B is not optimal because it will store the trading data in Amazon S3 and use S3 Transfer Acceleration, which is a feature that enables fast, easy, and secure transfers of files over long distances between S3 buckets and clients, not between DynamoDB and clients. Option C is not optimal because it will add retries with exponential backoff for DynamoDB queries, which is a strategy to handle transient errors by retrying failed requests with increasing delays, not by reducing data retrieval time.

NEW QUESTION # 205
A company has an application that runs on Amazon EC2 instances and stores sensitive data. The application encrypts the data by using an AWS KMS customer managed key with key material that has been imported from outside of AWS.
A developer accidentally deletes the key material, and the application is unable to read the encrypted data.
What should the developer do to fix the application with the LEAST amount of effort?

A. Generate an AWS managed KMS key. Reconfigure the application to use this key.
B. Reimport the key material from the original source outside of AWS to the existing KMS key.
C. Recover the deleted key material by opening a request with AWS Support.
D. Create new key material from the original source outside of AWS. Reimport the key material to the existing KMS key.

Answer: B

Explanation:
When imported key material is deleted from a KMS key, the KMS key becomes unusable for cryptographic operations until the same key material is reimported. The encrypted data can only be decrypted with the same KMS key and the same imported key material. Creating a new AWS managed key will not decrypt data that was encrypted with the original customer managed key. AWS Support cannot recover deleted imported key material because AWS never owned that external key material. Option A is close but less precise because the developer should reimport the same original key material, not create new key material. AWS KMS documentation states that deleting imported key material is reversible by reimporting the same key material. ( AWS Documentation )

NEW QUESTION # 206
A developer wants to add request validation to a production environment Amazon API Gateway API. The developer needs to test the changes before the API is deployed to the production environment. For the test, the developer will send test requests to the API through a testing tool.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a new API. Add the necessary resources and methods, including new request validation.
Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production
B. Clone the existing API. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.
C. Modify the existing API to add request validation. Deploy the updated API to a new API Gateway stage. Perform the tests. Deploy the updated API to the API Gateway production stage.
D. Export the existing API to an OpenAPI file. Create a new API. Import the OpenAPI file. Modify the new API to add request validation. Perform the tests. Modify the existing API to add request validation. Deploy the existing API to production.

Answer: C

Explanation:
In this option, you are making changes directly to the existing API, adding request validation.
Then, you deploy the updated API to a new API Gateway stage, which allows you to test the changes without affecting the production environment. After performing the tests and ensuring everything works as expected, you can then deploy the updated API to the production stage, thus minimizing operational overhead.

NEW QUESTION # 207
A developer has created an AWS Lambda function to provide notification through Amazon Simple Notification Service (Amazon SNS) whenever a file is uploaded to Amazon S3 that is larger than 50 MB. The developer has deployed and tested the Lambda function by using the CLI. However, when the event notification is added to the S3 bucket and a 3.000 MB file is uploaded, the Lambda function does not launch.
Which of the following Is a possible reason for the Lambda function's inability to launch?

A. The S3 event notification does not activate for files that are larger than 1.000 MB.
B. The resource-based policy for the Lambda function does not have the required permissions to be invoked by Amazon S3.
C. The S3 bucket needs to be made public.
D. Lambda functions cannot be invoked directly from an S3 event.

Answer: B

NEW QUESTION # 208
A developer is designing a serverless application that customers use to select seats for a concert venue.
Customers send the ticket requests to an Amazon API Gateway API with an AWS Lambda function that acknowledges the order and generates an order ID. The application includes two additional Lambda functions:
one for inventory management and one for payment processing. These two Lambda functions run in parallel and write the order to an Amazon DynamoDB table.
The application must provide seats to customers according to the following requirements. If a seat is accidentally sold more than once, the first order that the application received must get the seat. In these cases, the application must process the payment for only the first order. However, if the first order is rejected during payment processing, the second order must get the seat. In these cases, the application must process the payment for the second order.
Which solution will meet these requirements?

A. Deliver the order ID to an Amazon SQS queue. Configure the Lambda functions for inventory management and payment processing to poll the queue.
B. Send the order ID to an Amazon SNS topic. Subscribe the Lambda functions for inventory management and payment processing to the topic.
C. Send the order ID to an Amazon SNS FIFO topic that fans out to one Amazon SQS FIFO queue for inventory management and another SQS FIFO queue for payment processing.
D. Change the Lambda function that generates the order ID to initiate the Lambda function for inventory management. Then initiate the Lambda function for payment processing.

Answer: D

Explanation:
The business rule requires controlled sequencing: inventory must determine which order gets the seat before payment is processed. Running inventory and payment in parallel is unsafe because the payment Lambda could charge an order that later loses the seat. A standard SNS topic or a shared SQS queue does not enforce the required business sequence between inventory reservation and payment processing. An SNS FIFO fanout can preserve message order to SQS FIFO queues, but it still sends events to separate inventory and payment workflows, which does not guarantee that payment waits for inventory decision and fallback logic. Initiating inventory first and payment second is the only option that directly enforces the required order. For a production-grade design, Step Functions would be even cleaner, but it is not offered.

NEW QUESTION # 209
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