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The Amazon DVA-C02 exam consists of multiple-choice and multiple-answer questions that cover a wide range of topics, including AWS core services, security, database and storage, development and deployment, and troubleshooting. DVA-C02 Exam is designed to evaluate the candidate's knowledge and skills in developing and deploying cloud-based applications on the AWS platform.

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Quiz Amazon - DVA-C02 - The Best AWS Certified Developer - Associate Valid Test Practice

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Amazon DVA-C02 (AWS Certified Developer - Associate) exam is a certification program that is designed to test the skills and knowledge of developers who are interested in building and maintaining applications using the Amazon Web Services (AWS) platform. DVA-C02 Exam is intended for individuals who possess a strong understanding of AWS services and have hands-on experience developing and deploying applications on AWS.

Amazon AWS Certified Developer - Associate Sample Questions (Q560-Q565):

NEW QUESTION # 560
An application is processing clickstream data using Amazon Kinesis. The clickstream data feed into Kinesis experiences periodic spikes. The PutRecords API call occasionally fails and the logs show that the failed call returns the response shown below:

Which techniques will help mitigate this exception? (Choose two.)

A. Implement retries with exponential backoff.
B. Use a PutRecord API instead of PutRecords.
C. Use Amazon SNS instead of Kinesis.
D. Reduce the frequency and/or size of the requests.
E. Reduce the number of KCL consumers.

Answer: A,D

Explanation:
The response from the API call indicates that the ProvisionedThroughputExceededException exception has occurred. This exception means that the rate of incoming requests exceeds the throughput limit for one or more shards in a stream. To mitigate this exception, the developer can use one or more of the following techniques:
* Implement retries with exponential backoff. This will introduce randomness in the retry intervals and avoid overwhelming the shards with retries.
* Reduce the frequency and/or size of the requests. This will reduce the load on the shards and avoid throttling errors.
* Increase the number of shards in the stream. This will increase the throughput capacity of the stream and accommodate higher request rates.
* Use a PutRecord API instead of PutRecords. This will reduce the number of records per request and avoid exceeding the payload limit.
References:
* [ProvisionedThroughputExceededException - Amazon Kinesis Data Streams Service API Reference]
* [Best Practices for Handling Kinesis Data Streams Errors]

NEW QUESTION # 561
A developer is preparing containers for deployment on Amazon EKS. The developer must scan all containers for operating system (OS) and programming language vulnerabilities. Any identified vulnerability must be shown as a finding in AWS Security Hub. The developer has an existing Amazon ECR repository. Which solution will meet these requirements?

A. Integrate Amazon Inspector with Security Hub. Set up enhanced scanning on the ECR repository.Push the container images to the ECR repository.
B. Integrate AWS Systems Manager Patch Manager with Security Hub. Push the container images to Amazon ECR. Deploy the containers to Amazon EKS. Run the Amazon CloudWatch agent as a sidecar.
C. Integrate Amazon Macie with Security Hub. Set up basic scanning for the ECR repository. Push the container images to the repository. Configure a Kubernetes deployment to deploy the containers to Amazon EKS.
D. Integrate Amazon GuardDuty with Security Hub. Push the container images to Amazon ECR.
Configure a Kubernetes deployment to deploy the containers to Amazon EKS.

Answer: A

Explanation:
Amazon Inspector provides enhanced scanning of container images in Amazon ECR for OS and programming language vulnerabilities. When integrated with AWS Security Hub, findings from these scans are aggregated and visible as Security Hub findings. This meets the requirement to scan containers and report vulnerabilities centrally.

NEW QUESTION # 562
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 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.
D. 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.

Answer: B

Explanation:
The resolution is to make the Lambda function idempotent.
https://repost.aws/knowledge-center/lambda-function-idempotent
https://aws.amazon.com/builders-library/making-retries-safe-with-idempotent-APIs/

NEW QUESTION # 563
A company is creating an application that processes csv files from Amazon S3 A developer has created an S3 bucket The developer has also created an AWS Lambda function to process the csv files from the S3 bucket Which combination of steps will invoke the Lambda function when a csv file is uploaded to Amazon S3?
(Select TWO.)

A. Schedule an Amazon EventBridge rule to run a new Lambda function to scan the S3 bucket.
B. Create a new Lambda function to scan the S3 bucket for recently added S3 objects
C. Add S3 Lifecycle rules to invoke the existing Lambda function
D. Add a trigger to the existing Lambda function. Set the trigger type to EventBridge Select the Amazon EventBridge rule.
E. Create an Amazon EventBridge rule Configure the rule with a pattern to match the S3 object created event

Answer: D,E

Explanation:
Explanation
To invoke a Lambda function when a csv file is uploaded to Amazon S3, you can use Amazon EventBridge to create a rule that matches the S3 object created event. Then, you can add a trigger to the existing Lambda function and set the trigger type to EventBridge. This way, the Lambda function will be invoked whenever a new csv file is added to the S3 bucket. References
* Tutorial: Using an Amazon S3 trigger to invoke a Lambda function
* How to trigger my Lambda Function once the file is uploaded to s3 bucket
* Lambda Function to be invoked or triggered by S3(csv file upload ...

NEW QUESTION # 564
A developer is writing a new serverless application for a company. Several other developers must collaborate on the code for this application, and the company expects frequent changes to the code. The developer needs to deploy the code from source control to AWS Lambda with the fewest number of manual steps. Which strategy for the build and deployment should the developer use to meet these requirements?

A. Use the AWS SAM CLI to build and deploy the application from the developer's local machine with the latest version checked out locally.
B. Build the code locally, and then upload the code into the source control system. When a release is needed, run AWS CodePipeline to extract the uploaded build and deploy the resources.
C. Use the Lambda console to upload a .zip file of the application that is created by the AWS SAM CLI build command.
D. Use AWS CodeBuild and AWS CodePipeline to invoke builds and corresponding deployments when configured source controlled branches have pull requests merged into them.

Answer: D

Explanation:
Using AWS CodeBuild and CodePipeline integrated with the source control system automates builds and deployments upon merging pull requests, enabling multiple developers to collaborate with minimal manual steps and ensuring continuous delivery to Lambda.

NEW QUESTION # 565
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