Exam Amazon DVA-C02 Simulator - DVA-C02 Study Group
Exam Amazon DVA-C02 Simulator - DVA-C02 Study Group
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Amazon DVA-C02 certification is a valuable credential for developers who want to demonstrate their expertise in developing and maintaining cloud-based applications on the AWS platform. With its comprehensive coverage of AWS services and best practices, the certification exam provides a way for developers to showcase their skills and knowledge, and to differentiate themselves in a competitive job market.
Amazon DVA-C02 exam is designed to test the skills and knowledge of developers who work with Amazon Web Services (AWS). DVA-C02 exam is intended for individuals who have experience working with AWS services and developing applications that run on the AWS platform. DVA-C02 Exam is designed to assess a candidate's ability to design, develop, and deploy applications on AWS.
The AWS Certified Developer - Associate exam covers a range of topics, including AWS core services, security, identity and access management, databases, and storage. Candidates are required to demonstrate proficiency in developing, deploying, and debugging cloud-based applications using AWS services like AWS Lambda, Amazon S3, Amazon DynamoDB, and Amazon EC2.
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Amazon AWS Certified Developer - Associate Sample Questions (Q175-Q180):
NEW QUESTION # 175
A company has developed an application that uses AWS Lambda functions to process messages from an Amazon SQS queue. One of the Lambda functions makes a call to an external API that is expected to encounter temporary service unavailability.
A developer needs to configure the function to retry failed messages from an Amazon SQS dead-letter queue.
The developer notices that the Lambda function is re-processing some messages in the queue more than once.
Which solution will resolve this issue?
- A. Set the visibility timeout parameter at the queue level. Configure the Lambda function to delete processed messages from the queue.
- B. Set a message retention period for each message. Configure the Lambda function to add a MessageId to each message.
- C. Set the delivery delay parameter at the queue level. Configure the Lambda function to delete processed messages from the queue.
- D. Set a receive message wait time for each message. Configure the Lambda function to add a MessageId to each message.
Answer: A
Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:Setting the visibility timeout ensures that once a message is being processed, it is temporarily hidden from other consumers. The Lambda function must delete processed messages to avoid re-processing when the visibility timeout expires.
* Why Other Options are Incorrect:
* Option A: Message retention affects how long messages stay in the queue, not how they are processed.
* Option C: Receive message wait time optimizes long polling but does not prevent re-processing.
* Option D: Delivery delay introduces latency for new messages and does not address message re- processing.
* AWS Documentation References:
* Using SQS Visibility Timeout
NEW QUESTION # 176
A developer has observed an increase in bugs in the AWS Lambda functions that a development team has deployed in its Node is application. To minimize these bugs, the developer wants to impendent automated testing of Lambda functions in an environment that Closely simulates the Lambda environment.
The developer needs to give other developers the ability to run the tests locally. The developer also needs to integrate the tests into the team's continuous integration and continuous delivery (Ct/CO) pipeline before the AWS Cloud Development Kit (AWS COK) deployment.
Which solution will meet these requirements?
- A. Install the AWS Serverless Application Model (AWS SAW) CLI tool Use the Sam local generate-event command to generate sample events for me automated tests. Create automated test scripts that use the Sam local invoke command to invoke the Lambda functions. Check the response Document the test scripts tor the other developers on the team Update the CI/CD pipeline to run the test scripts.
- B. Create sample events based on the Lambda documentation. Create a Docker container from the Node is base image to invoke the Lambda functions. Check the response Document how to run the Docker container for the more developers on the team update the CI/CD pipeline to run the Docker container.
- C. Install a unit testing framework that reproduces the Lambda execution environment. Create sample events based on the Lambda Documentation Invoke the handler function by using a unit testing framework. Check the response Document how to run the unit testing framework for the other developers on the team. Update the OCD pipeline to run the unit testing framework.
- D. Create sample events based on the Lambda documentation. Create automated test scripts that use the cdk local invoke command to invoke the Lambda functions. Check the response Document the test scripts for the other developers on the team Update the CI/CD pipeline to run the test scripts.
Answer: A
Explanation:
Explanation
This solution will meet the requirements by using AWS SAM CLI tool, which is a command line tool that lets developers locally build, test, debug, and deploy serverless applications defined by AWS SAM templates. The developer can use sam local generate-event command to generate sample events for different event sources such as API Gateway or S3. The developer can create automated test scripts that use sam local invoke command to invoke Lambda functions locally in an environment that closely simulates Lambda environment.
The developer can check the response from Lambda functions and document how to run the test scripts for other developers on the team. The developer can also update CI/CD pipeline to run these test scripts before deploying with AWS CDK. Option A is not optimal because it will use cdk local invoke command, which does not exist in AWS CDK CLI tool. Option B is not optimal because it will use a unit testing framework that reproduces Lambda execution environment, which may not be accurate or consistent with Lambda environment. Option D is not optimal because it will create a Docker container from Node.js base image to invoke Lambda functions, which may introduce additional overhead and complexity for creating and running Docker containers.
References: [AWS Serverless Application Model (AWS SAM)], [AWS Cloud Development Kit (AWS CDK)]
NEW QUESTION # 177
A developer has written an application that runs on Amazon EC2 instances. The developer is adding functionality for the application to write objects to an Amazon S3 bucket.
Which policy must the developer modify to allow the instances to write these objects?
- A. The session policy that is applied to the EC2 instance role session
- B. The IAM policy that is attached to the EC2 instance profile role
- C. The AWS Key Management Service (AWS KMS) key policy that is attached to the EC2 instance profile role
- D. The Amazon VPC endpoint policy
Answer: B
NEW QUESTION # 178
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?
- A. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
- B. Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
- C. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
- D. Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
Answer: A
Explanation:
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.
Reference:
[Amazon Simple Storage Service (S3)]
[Using AWS SDKs with Amazon S3]
NEW QUESTION # 179
A company is building a web application on AWS. When a customer sends a request, the application will generate reports and then make the reports available to the customer within one hour. Reports should be accessible to the customer for 8 hours. Some reports are larger than 1 MB. Each report is unique to the customer. The application should delete all reports that are older than 2 days.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Generate the reports and then store the reports in an Amazon S3 bucket that uses server-side encryption. Attach the reports to an Amazon Simple Notification Service (Amazon SNS) message. Subscribe the customer to email notifications from Amazon SNS.
- B. Generate the reports and then store the reports as Amazon DynamoDB items that have a specified TTL. Generate a URL that retrieves the reports from DynamoDB. Provide the URL to customers through the web application.
- C. Generate the reports and then store the reports in an Amazon S3 bucket that uses server-side encryption. Generate a presigned URL that contains an expiration date Provide the URL to customers through the web application. Add S3 Lifecycle configuration rules to the S3 bucket to delete old reports.
- D. Generate the reports and then store the reports in an Amazon RDS database with a date stamp. Generate an URL that retrieves the reports from the RDS database. Provide the URL to customers through the web application. Schedule an hourly AWS Lambda function to delete database records that have expired date stamps.
Answer: A
NEW QUESTION # 180
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