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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is designed for individuals who have experience in developing and maintaining applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification validates the individual's ability to design, deploy, and maintain AWS-based applications using various AWS services and tools.
The DVA-C02 exam is an important certification for developers looking to validate their skills and knowledge in AWS development. It covers a wide range of topics related to AWS development, including AWS core services, developer tools, and programming languages commonly used in AWS development. By passing the DVA-C02 Exam, candidates can demonstrate their ability to design, develop, and deploy cloud-based applications using AWS services and best practices, making them a valuable asset to any organization.
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Amazon DVA-C02 certification exam covers a wide range of topics related to AWS services, including compute, storage, database, networking, security, and deployment. DVA-C02 Exam consists of multiple-choice questions and is designed to test the candidate's understanding of AWS services, best practices, and architectural patterns.
Amazon AWS Certified Developer - Associate Sample Questions (Q406-Q411):
NEW QUESTION # 406
An online sales company is developing a serverless application that runs on AWS. The application uses an AWS Lambda function that calculates order success rates and stores the data in an Amazon DynamoDB table. A developer wants an efficient way to invoke the Lambda function every 15 minutes.
Which solution will meet this requirement with the LEAST development effort?
- A. Create an AWS Systems Manager document that has a script that will invoke the Lambda function on Amazon EC2. Use a Systems Manager Run Command task to run the shell script every 15 minutes.
- B. Create an AWS Step Functions state machine. Configure the state machine to invoke the Lambda function execution role at a specified interval by using a Wait state. Set the interval to 15 minutes.
- C. Provision a small Amazon EC2 instance. Set up a cron job that invokes the Lambda function every 15 minutes.
- D. Create an Amazon EventBridge rule that has a rate expression that will run the rule every 15 minutes.
Add the Lambda function as the target of the EventBridge rule.
Answer: D
Explanation:
Explanation
The best solution for this requirement is option A. Creating an Amazon EventBridge rule that has a rate expression that will run the rule every 15 minutes and adding the Lambda function as the target of the EventBridge rule is the most efficient way to invoke the Lambda function periodically. This solution does not require any additional resources or development effort, and it leverages the built-in scheduling capabilities of EventBridge1.
NEW QUESTION # 407
A company has an ecommerce web application that uses an on-premises MySQL database as a data store. The company migrates the on-premises MySQL database to Amazon RDS for MySQL.
A developer needs to configure the application's access to the RDS for MySQL database. The developer's solution must not use long term credentials.
Which solution will meet these requirements?
- A. Configure the MySQL credentials as environment variables that are available at runtime for the application.
- B. Store the MySQL credentials as SecureString parameters in AWS Systems Manager Parameter Store. Create an IAM role that has the minimum required permissions to retrieve the parameters.Assign the role to the application.
- C. Enable IAM database authentication on the RDS for MySQL DB instance. Create an IAM role that has the minimum required permissions. Assign the role to the application.
- D. Store the MySQL credentials as secrets in AWS Secrets Manager. Create an IAM role that has the minimum required permissions to retrieve the secrets. Assign the role to the application.
Answer: D
NEW QUESTION # 408
A developer is receiving an intermittent ProvisionedThroughputExceededException error from an application that is based on Amazon DynamoDB. According to the Amazon CloudWatch metrics for the table, the application is not exceeding the provisioned throughput. What could be the cause of the issue?
- A. The DynamoDB table is exceeding the provisioned scaling operations.
- B. The application is exceeding capacity on a particular hash key.
- C. The application is exceeding capacity on a particular sort key.
- D. The DynamoDB table storage size is larger than the provisioned size.
Answer: B
Explanation:
DynamoDB distributes throughput across partitions based on the hash key. A hot partition (caused by high usage of a specific hash key) can result in a ProvisionedThroughputExceededException, even if overall usage is below the provisioned capacity.
Why Option B is Correct:
Partition-Level Limits: Each partition has a limit of 3,000 read capacity units or 1,000 write capacity units per second.
Hot Partition: Excessive use of a single hash key can overwhelm its partition.
Why Not Other Options:
Option A: DynamoDB storage size does not affect throughput.
Option C: Provisioned scaling operations are unrelated to throughput errors.
Option D: Sort keys do not impact partition-level throughput.
Reference:
DynamoDB Partition Key Design Best Practices
NEW QUESTION # 409
A developer is working on a serverless application that needs to process any changes to an Amazon DynamoDB table with an AWS Lambda function.
How should the developer configure the Lambda function to detect changes to the DynamoDB table?
- A. Create an Amazon EventBridge rule to invoke the Lambda function on a regular schedule. Conned to the DynamoDB table from the Lambda function to detect changes.
- B. Create an Amazon Kinesis data stream, and attach it to the DynamoDB table. Create a trigger to connect the data stream to the Lambda function.
- C. Enable DynamoDB Streams on the table. Create a trigger to connect the DynamoDB stream to the Lambda function.
- D. Create an Amazon Kinesis Data Firehose delivery stream, and attach it to the DynamoDB table.Configure the delivery stream destination as the Lambda function.
Answer: C
Explanation:
Explanation
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and consistent performance with seamless scalability. DynamoDB Streams is a feature that captures data modification events in DynamoDB tables. The developer can enable DynamoDB Streams on the table and create a trigger to connect the DynamoDB stream to the Lambda function. This solution will enable the Lambda function to detect changes to the DynamoDB table in near real time.
References:
[Amazon DynamoDB]
[DynamoDB Streams - Amazon DynamoDB]
[Using AWS Lambda with Amazon DynamoDB - AWS Lambda]
NEW QUESTION # 410
A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB. Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?
- A. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
- B. Create an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table.
Retrieve previously uploaded photos by querying DynamoDB for the S3 key. - C. Use Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
- D. Create a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as par of the photo details in the DynamoDB table.Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
Answer: C
Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-integrate-with- cognito.html
https://aws.amazon.com/blogs/big-data/building-and-maintaining-an-amazon-s3-metadata-index- without-servers/
NEW QUESTION # 411
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