Amazon Web Services crack4sure dva-c02 Actual Questions by Francisco q65 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:	425 Q&A's	Shared By:	francisco

Question 16

A developer is creating a simple proof-of-concept demo by using AWS CloudFormation and AWS Lambda functions The demo will use a CloudFormation template to deploy an existing Lambda function The Lambda function uses deployment packages and dependencies stored in Amazon S3 The developer defined anAWS Lambda Function resource in a CloudFormation template. The developer needs to add the S3 bucket to the CloudFormation template.

What should the developer do to meet these requirements with the LEAST development effort?

Options:

Add the function code in the CloudFormation template inline as the code property

Add the function code in the CloudFormation template as the ZipFile property.

Find the S3 key for the Lambda function Add the S3 key as the ZipFile property in the CloudFormation template.

Add the relevant key and bucket to the S3Bucket and S3Key properties in the CloudFormation template

Discussion

Question 17

A development learn has an Amazon API Gateway REST API that is backed by an AWS Lambda function.

Users have reported performance issues for the Lambda function. The development team identified the source of the issues as a cold start of the Lambda function. The development team needs to reduce the time needed for the Lambda function to initialize.

Which solution will meet this requirement?

Options:

Change the Lambda concurrency lo reserved concurrency.

Increase the timeout of the Lambda function.

Increase the memory allocation of the Lambda function.

Configure provisioned concurrency for the Lambda function.

Discussion

Question 18

A developer is designing a serverless application with two AWS Lambda functions to process photos. One Lambda function stores objects in an Amazon S3 bucket and stores the associated metadata in an Amazon DynamoDB table. The other Lambda function fetches the objects from the S3 bucket by using the metadata from the DynamoDB table. Both Lambda functions use the same Python library to perform complex computations and are approaching the quota for the maximum size of zipped deployment packages.

What should the developer do to reduce the size of the Lambda deployment packages with the LEAST operational overhead?

Options:

Package each Python library in its own .zip file archive. Deploy each Lambda function with its own copy of the library.

Create a Lambda layer with the required Python library. Use the Lambda layer in both Lambda functions.

Combine the two Lambda functions into one Lambda function. Deploy the Lambda function as a single .zip file archive.

Download the Python library to an S3 bucket. Program the Lambda functions to reference the object URLs.

Discussion

Question 19

A company has installed smart motes in all Its customer locations. The smart meter’s measure power usage at 1minute intervals and send the usage readings to a remote endpoint tot collection. The company needs to create an endpoint that will receive the smart meter readings and store the readings in a database. The company wants to store the location ID and timestamp information.

The company wants to give Is customers low-latency access to their current usage and historical usage on demand The company expects demand to increase significantly. The solution must not impact performance or include downtime write seeing.

When solution will meet these requirements MOST cost-effectively?

Options:

Store the smart meter readings in an Amazon RDS database. Create an index on the location ID and timestamp columns Use the columns to filter on the customers ‘data.

Store the smart motor readings m an Amazon DynamoDB table Croato a composite Key oy using the location ID and timestamp columns. Use the columns to filter on the customers' data.

Store the smart meter readings in Amazon EastCache for Reds Create a Sorted set key y using the location ID and timestamp columns. Use the columns to filter on the customers’ data.

Store the smart meter readings m Amazon S3 Parton the data by using the location ID and timestamp columns. Use Amazon Athena lo tiler on me customers' data.

Discussion

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