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Amazon DVA-C02 Certification Exam is an essential certification for individuals who want to become AWS Certified Developer - Associate. AWS Certified Developer - Associate certification demonstrates the candidate's ability to develop, deploy, and maintain applications on the AWS platform. AWS Certified Developer - Associate certification is a valuable asset to any organization that uses AWS and provides individuals with a competitive advantage in the cloud computing industry.
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Obtaining the Amazon DVA-C02 Certification can be a valuable asset for software developers, as it demonstrates their expertise in cloud computing and AWS services. Certified developers are in high demand in the job market, and this certification can help individuals stand out from other candidates when applying for job roles that involve developing applications on AWS. Additionally, AWS certified developers have access to exclusive resources and networking opportunities, which can help them stay up-to-date with the latest trends and advancements in cloud computing.
To prepare for the AWS Certified Developer - Associate exam, candidates can take advantage of AWS's official training courses and certification resources. These resources include online training courses, practice exams, and study guides. Candidates can also gain hands-on experience by working on real projects on the AWS platform, which will help them develop the skills and knowledge required to pass the exam.
Amazon AWS Certified Developer - Associate Sample Questions (Q424-Q429):
NEW QUESTION # 424
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 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.
- B. 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. - C. 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. - D. 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.
Answer: B
Explanation:
This solution will meet the requirements with the least operational overhead because it uses Amazon S3 as a scalable, secure, and durable storage service for the reports. The presigned URL will allow customers to access their reports for a limited time (8 hours) without requiring additional authentication. The S3 Lifecycle configuration rules will automatically delete the reports that are older than 2 days, reducing storage costs and complying with the data retention policy. Option A is not optimal because it will incur additional costs and complexity to store the reports as DynamoDB items, which have a size limit of 400 KB. Option B is not optimal because it will not provide customers with access to their reports within one hour, as Amazon SNS email delivery is not guaranteed. Option D is not optimal because it will require more operational overhead to manage an RDS database and a Lambda function for storing and deleting the reports.
NEW QUESTION # 425
A company hosts its application in the us-west-1 Region. The company wants to add redundancy in the us-east-1 Region.
The application secrets are stored in AWS Secrets Manager in us-west-1. A developer needs to replicate the secrets to us-east-1.
Which solution will meet this requirement?
- A. Create a replication rule for each secret. Set us-east-1 as the destination Region. Configure the rule to run during secret rotation. Choose an AWS Key Management Service (AWS KMS) key in us-east-1 to encrypt the replicated secrets.
- B. Create a Secrets Manager lifecycle rule to replicate each secret to a new Amazon S3 bucket in us-west-1. Configure an S3 replication rule to replicate the secrets to us-east-1.
- C. Create a new secret in us-east-1 for each secret. Configure secret replication in us-east-1. Set the source to be the corresponding secret in us-west-1. Choose an AWS Key Management Service (AWS KMS) key in us-west-1 to encrypt the replicated secrets.
- D. Configure secret replication for each secret. Add us-east-1 as a replication Region. Choose an AWS Key Management Service (AWS KMS) key in us-east-1 to encrypt the replicated secrets.
Answer: D
NEW QUESTION # 426
A developer is deploying an application on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The developer is using a Docker container with an Ubuntu image.
The developer needs to implement a solution to store application data that is available from multiple ECS tasks. The application data must remain accessible after the container is terminated.
Which solution will meet these requirements?
- A. Create an Amazon Elastic File System (Amazon EFS) file system. Specify the mountPoints attribute and the efsVolumeConfiguration attribute in the ECS task definition.
- B. Create an Amazon Elastic Block Store (Amazon EBS) volume. Specify the mount point configuration in the ECS task definition.
- C. Attach an Amazon FSx for Windows File Server volume to the container definition.
- D. Specify the DockerVolumeConfiguration parameter in the ECS task definition to attach a Docker volume.
Answer: A
NEW QUESTION # 427
A developer is creating an AWS Lambda function. The Lambda function needs an external library to connect to a third-party solution The external library is a collection of files with a total size of 100 MB The developer needs to make the external library available to the Lambda execution environment and reduce the Lambda package space Which solution will meet these requirements with the LEAST operational overhead?
- A. Create an Amazon S3 bucket Upload the external library into the S3 bucket. Mount the S3 bucket folder in the Lambda function Import the library by using the proper folder in the mount point.
- B. Create a Lambda layer to store the external library Configure the Lambda function to use the layer
- C. Create an Amazon Elastic File System (Amazon EFS) volume. Upload the external library to the EFS volume Mount the EFS volume in the Lambda function. Import the library by using the proper folder in the mount point.
- D. Load the external library to the Lambda function's /tmp directory during deployment of the Lambda package. Import the library from the /tmp directory.
Answer: B
Explanation:
Explanation
Create a Lambda layer to store the external library. Configure the Lambda function to use the layer. This will allow the developer to make the external library available to the Lambda execution environment without having to include it in the Lambda package, which will reduce the Lambda package space. Using a Lambda layer is a simple and straightforward solution that requires minimal operational overhead.
https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html
NEW QUESTION # 428
A company created an application to consume and process data. The application uses Amazon SQS and AWS Lambda functions. The application is currently working as expected, but it occasionally receives several messages that it cannot process properly. The company needs to clear these messages to prevent the queue from becoming blocked. A developer must implement a solution that makes queue processing always operational. The solution must give the company the ability to defer the messages with errors and save these messages for further analysis. What is the MOST operationally efficient solution that meets these requirements?
- A. Configure Amazon CloudWatch Logs to save the error messages to a separate log stream.
- B. Change the SQS queue to a FIFO queue. Configure the message retention period to 0 seconds.
- C. Configure an Amazon CloudWatch alarm for Lambda function errors. Publish messages to an Amazon SNS topic to notify administrator users.
- D. Create a new SQS queue. Set the new queue as a dead-letter queue for the application queue.
Configure the Maximum Receives setting.
Answer: D
Explanation:
Using a dead-letter queue (DLQ) with Amazon SQS is the most operationally efficient solution for handling unprocessable messages.
Amazon SQS Dead-Letter Queue:
A DLQ is used to capture messages that fail processing after a specified number of attempts.
Allows the application to continue processing other messages without being blocked. Messages in the DLQ can be analyzed later for debugging and resolution.
Operational Efficiency: Automatically defers messages with errors, ensuring the queue is not blocked.
Analysis Ready: Messages in the DLQ can be inspected to identify recurring issues. Scalable:
Works seamlessly with Lambda and SQS at scale.
NEW QUESTION # 429
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