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All the given practice questions in the desktop software are identical to the AWS Certified Developer - Associate (DVA-C02) actual test. Windows computers support the desktop practice test software. Free4Torrent has a complete support team to fix issues of Amazon DVA-C02 PDF QUESTIONS software users. Free4Torrent practice tests (desktop and web-based) produce score report at the end of each attempt. So, that users get awareness of their AWS Certified Developer - Associate (DVA-C02) preparation status and remove their mistakes.
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.
Amazon AWS Certified Developer - Associate Sample Questions (Q11-Q16):
NEW QUESTION # 11
A company runs a critical application on Amazon Elastic Container Service (Amazon ECS) by using Amazon EC2 instances. The company needs to migrate the application to Amazon ECS on AWS Fargate. A developer is configuring Fargate and the ECS capacity providers to make the change.
Which solution will meet these requirements with the LEAST downtime during migration?
- A. Use the PutClusterCapacityProviders API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE_SPOT as Provider 1 with a base value. Use FARGATE as Provider 2 for failover.
- B. Use the CreateCapacityProvider API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE_SPOT as Provider 1 with a base value. Use FARGATE as Provider 2 for failover.
- C. Use the PutClusterCapacityProviders API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE as Provider 1 with a base value. Use FARGATE_SPOT as Provider 2 for failover.
- D. Use the CreateCapacityProvider API operation to associate the ECS cluster with the FARGATE and FARGATE_SPOT capacity provider strategies. Use FARGATE as Provider 1 with a base value. Use FARGATE_SPOT as Provider 2 for failover.
Answer: C
NEW QUESTION # 12
A developer is creating an application that must transfer expired items from Amazon DynamoDB to Amazon S3. The developer sets up the DynamoDB table to automatically delete items after a specific TTL. The application must process the items in DynamoDB and then must store the expired items in Amazon S3. The entire process, including item processing and storage in Amazon S3, will take 5 minutes.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Deploy a custom application on an Amazon Elastic Container Service (Amazon ECS) cluster on Amazon EC2 instances. Program the custom application to process the items and to store the expired items in Amazon S3.
- B. Configure DynamoDB Accelerator (DAX) to query for expired items based on the TTL. Save the results to Amazon S3.
- C. Create an Amazon EventBridge rule to invoke an AWS Lambda function. Program the Lambda function to process the items and to store the expired items in Amazon S3.
- D. Configure DynamoDB Streams to invoke an AWS Lambda function. Program the Lambda function to process the items and to store the expired items in Amazon S3.
Answer: D
NEW QUESTION # 13
A developer is modifying an existing AWS Lambda function White checking the code the developer notices hardcoded parameter various for an Amazon RDS for SQL Serveruser name password database host and port.
There also are hardcoded parameter values for an Amazon DynamoOB table. an Amazon S3 bucket, and an Amazon Simple Notification Service (Amazon SNS) topic.
The developer wants to securely store the parameter values outside the code m an encrypted format and wants to turn on rotation for the credentials. The developer also wants to be able to reuse the parameter values from other applications and to update the parameter values without modifying code.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Create an RDS database secret in AWS Secrets Manager. Set the user name password, database, host and port. Turn on secret rotation. Create Secure String parameters in AWS Systems Manager Parameter Store for the DynamoDB table, S3 bucket and SNS topic.
- B. Create RDS database parameters in AWS Systems Manager Parameter. Store for the user name password, database, host and port. Create encrypted Lambda environment variables for me DynamoDB table, S3 bucket, and SNS topic. Create a Lambda function and set the logic for the credentials rotation task Schedule the credentials rotation task in Amazon EventBridge.
- C. Create an RDS database secret in AWS Secrets Manager. Set the user name password, database, host and port. Turn on secret rotation. Create encrypted Lambda environment variables for the DynamoDB table, S3 bucket and SNS topic.
- D. Create RDS database parameters in AWS Systems Manager Parameter. Store for the user name password database, host, and port. Store the DynamoDB table. S3 bucket, and SNS topic in Amazon S3 Create a Lambda function and set the logic for the credentials rotation Invoke the Lambda function on a schedule.
Answer: A
Explanation:
This solution will meet the requirements by using AWS Secrets Manager and AWS Systems Manager Parameter Store to securely store the parameter values outside the code in an encrypted format. AWS Secrets Manager is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can create an RDS database secret in AWS Secrets Manager and set the user name, password, database, host, and port for accessing the RDS database. The developer can also turn on secret rotation, which will change the database credentials periodically according to a specified schedule or event. AWS Systems Manager Parameter Store is a service that provides secure and scalable storage for configuration data and secrets. The developer can create Secure String parameters in AWS SystemsManager Parameter Store for the DynamoDB table, S3 bucket, and SNS topic, which will encrypt them with AWS KMS. The developer can also reuse the parameter values from other applications and update them without modifying code. Option A is not optimal because it will create encrypted Lambda environment variables for the DynamoDB table, S3 bucket, and SNS topic, which may not be reusable or updatable without modifying code. Option C is not optimal because it will create RDS database parameters in AWS Systems Manager Parameter Store, which does not support automatic rotation of secrets. Option D is not optimal because it will store the DynamoDB table, S3 bucket, and SNS topic in Amazon S3, which may introduce additional costs and complexity for accessing configuration data.
NEW QUESTION # 14
A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.
The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.
What is the MOST operationally efficient way to refactor the server less application to accommodate this change?
- A. Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.
- B. Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.
- C. Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.
- D. Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.
Answer: D
Explanation:
The solution that will meet the requirements is to use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. This way, the developer can refactor the serverless application to accommodate the change in a way that is automated and scalable. The developer can use Step Functions to orchestrate the Lambda function and handle any errors or retries. The developer can also use the Wait state to pause the execution for a specified duration or until a specified timestamp, which can help avoid exceeding the API limits. The other options either involve using additional services that are not necessary or appropriate for this scenario, or do not address the issue of API failures.
Reference: AWS Step Functions Wait state
NEW QUESTION # 15
A company is using Amazon API Gateway to invoke a new AWS Lambda function. The company has Lambda function versions in its PROD and DEV environments. In each environment, there is a Lambda function alias pointing to the corresponding Lambda function version. API Gateway has one stage that is configured to point at the PROD alias.
The company wants to configure API Gateway to enable the PROD and DEV Lambda function versions to be simultaneously and distinctly available.
Which solution will meet these requirements?
- A. Set up a gateway response in API Gateway for the Lambda function alias. Republish PROD and create a new stage for DEV. Create gateway responses in API Gateway for PROD and DEV Lambda aliases.
- B. Enable a Lambda authorizer for the Lambda function alias in API Gateway. Republish PROD and create a new stage for DEV. Create API Gateway stage variables for the PROD and DEV stages.
Point each stage variable to the PROD Lambda authorizer to the DEV Lambda authorizer. - C. Use an environment variable for the Lambda function alias in API Gateway. Republish PROD and create a new stage for development. Create API gateway environment variables for PROD and DEV stages. Point each stage variable to the PROD Lambda function alias to the DEV Lambda function alias.
- D. Use an API Gateway stage variable to configure the Lambda function alias. Republish PROD and create a new stage for development. Create API Gateway stage variables for PROD and DEV stages. Point each stage variable to the PROD Lambda function alias and to the DEV Lambda function alias.
Answer: B
NEW QUESTION # 16
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