Amazon Web Services examstrust amazon Web Services Dva-c02 Online Access by Keyaan q26 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:	292 Q&A's	Shared By:	keyaan

Question 52

A company runs a new application on AWS Elastic Beanstalk. The company needs to deploy updates to the application. The updates must not cause any downtime for application users. The deployment must forward a specified percentage of incoming client traffic to a new application version during an evaluation period.

Which deployment type will meet these requirements?

Options:

Rolling

Traffic-splitting

In-place

Immutable

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Question 53

A developer has created a large AWS Lambda function. Deployment of the function Is failing because of an InvalidParameterValueException error. The error message indicates that the unzipped size of the function exceeds the maximum supported value.

Which actions can the developer take to resolve this error? (Select TWO.)

Options:

Submit a quota increase request to AWS Support to increase the function to the required size.

Use a compression algorithm that is more efficient than ZIP.

Break up the function into multiple smaller functions.

Zip the .zip file twice to compress the file more.

Move common libraries, function dependencies, and custom runtimes into Lambda layers.

Discussion

Question 54

An Amazon Kinesis Data Firehose delivery stream is receiving customer data that contains personally identifiable information. A developer needs to remove pattern-based customer identifiers from the data and store the modified data in an Amazon S3 bucket.

What should the developer do to meet these requirements?

Options:

Implement Kinesis Data Firehose data transformation as an AWS Lambda function. Configure the function to remove the customer identifiers. Set an Amazon S3 bucket as the destination of the delivery stream.

Launch an Amazon EC2 instance. Set the EC2 instance as the destination of the delivery stream. Run an application on the EC2 instance to remove the customer identifiers. Store the transformed data in an Amazon S3 bucket.

Create an Amazon OpenSearch Service instance. Set the OpenSearch Service instance as the destination of the delivery stream. Use search and replace to remove the customer identifiers. Export the data to an Amazon S3 bucket.

Create an AWS Step Functions workflow to remove the customer identifiers. As the last step in the workflow, store the transformed data in an Amazon S3 bucket. Set the workflow as the destination of the delivery stream.

Discussion

Question 55

A developer wants to store information about movies. Each movie has a title, release year, and genre. The movie information also can include additional properties about the cast and production crew. This additional information is inconsistent across movies. For example, one movie might have an assistant director, and another movie might have an animal trainer.

The developer needs to implement a solution to support the following use cases:

For a given title and release year, get all details about the movie that has that title and release year.

For a given title, get all details about all movies that have that title.

For a given genre, get all details about all movies in that genre.

Which data store configuration will meet these requirements?

Options:

Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the title as the partition key and the release year as the sort key. Create a global secondary index that uses the genre as the partition key and the title as the sort key.

Create an Amazon DynamoDB table. Configure the table with a primary key that consists of the genre as the partition key and the release year as the sort key. Create a global secondary index that uses the title as the partition key.

On an Amazon RDS DB instance, create a table that contains columns for title, release year, and genre. Configure the title as the primary key.

On an Amazon RDS DB instance, create a table where the primary key is the title and all other data is encoded into JSON format as one additional column.