Amazon Web Services transcender aws Certified Associate Dva-c02 Exam Questions And Answers Pdf by Amaia q46 vce pdf

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Exam Name:	AWS Certified Developer - Associate
Exam Code:	DVA-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	608 Q&A's	Shared By:	amaia

Question 160

A company stores its data in data tables in a series of Amazon S3 buckets. The company received an alert that customer credit card information might have been exposed in a data table on one of the company ' s public applications. A developer needs to identify all potential exposures within the application environment.

Which solution will meet these requirements?

Options:

Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Personal finding type.

Use Amazon Made to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Financial finding type.

Use Amazon Made to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Personal finding type.

Use Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S30bject/Financial finding type.

Discussion

Question 161

A company wants to automate part of its deployment process. A developer needs to automate the process of checking for and deleting unused resources that supported previously deployed stacks but that are no longer used.

The company has a central application that uses the AWS Cloud Development Kit (AWS CDK) to manage all deployment stacks. The stacks are spread out across multiple accounts. The developer’s solution must integrate as seamlessly as possible within the current deployment process.

Which solution will meet these requirements with the LEAST amount of configuration?

Options:

In the central AWS CDK application, write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CloudPormation template from a JSON file. Use the template to attach the function code to an AWS Lambda function and lo invoke the Lambda function when the deployment slack runs.

In the central AWS CDK application. write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CDK custom resource Use the custom resource to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.

In the central AWS CDK, write a handler function m the code that uses AWS SDK calls to check for and delete unused resources. Create an API in AWS Amplify Use the API to attach the function code to an AWS Lambda function and to invoke the Lambda function when the deployment stack runs.

In the AWS Lambda console write a handler function in the code that uses AWS SDK calls to check for and delete unused resources. Create an AWS CDK custom resource. Use the custom resource to import the Lambda function into the stack and to Invoke the Lambda function when the deployment stack runs.

Discussion

Question 162

A developer is testing an AWS Lambda function that processes messages from an Amazon SQS queue. Some messages reappear in the queue while they are still being processed.

What should the developer do to correct this behavior?

Options:

Increase the Lambda timeout.

Increase the visibility timeout of the SQS queue.

Increase the Lambda memory allocation.

Increase the batch size in the event source mapping.

Discussion

Question 163

A developer has designed an application to store incoming data as JSON files in Amazon S3 objects. Custom business logic in an AWS Lambda function then transforms the objects, and the Lambda function loads the data into an Amazon DynamoDB table. Recently, the workload has experienced sudden and significant changes in traffic. The flow of data to the DynamoDB table is becoming throttled.

The developer needs to implement a solution to eliminate the throttling and load the data into the DynamoDB table more consistently.

Which solution will meet these requirements?

Options:

Refactor the Lambda function into two functions. Configure one function to transform the data and one function to load the data into the DynamoDB table. Create an Amazon Simple Queue Service (Amazon SQS) queue in between the functions to hold the items as messages and to invoke the second function.

Turn on auto scaling for the DynamoDB table. Use Amazon CloudWatch to monitor the table ' s read and write capacity metrics and to track consumed capacity.

Create an alias for the Lambda function. Configure provisioned concurrency for the application to use.

Refactor the Lambda function into two functions. Configure one function to store the data in the DynamoDB table. Configure the second function to process the data and update the items after the data is stored in DynamoDB. Create a DynamoDB stream to invoke the second function after the data isstored.

Discussion

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