Question 1

A developer needs to perform geographic load testing of an API. The developer must deploy resources to

multiple AWS Regions to support the load testing of the API.

How can the developer meet these requirements without additional application code?

Options :

A : Create and deploy an AWS Lambda function in each desired Region. Configure the Lambda function to create a stack from an AWS CloudFormation template in that Region when the function is invoked.

B :

Create an AWS CloudFormation template that defines the load test resources. Use the AWS CLI create-stack-set command to create a stack set in the desired Regions.

C :

Create an AWS Systems Manager document that defines the resources. Use the document to create the resources in the desired Regions.

D :

Create an AWS CloudFormation template that defines the load test resources. Use the AWS CLI deploy command to create a stack from the template in each Region.

Answer: B

Question 2

A company has a serverless application on AWS that uses a fleet of AWS Lambda functions that have aliases. The company regularly publishes new Lambda function by using an in-house deployment solution. The company wants to improve the release process and to use traffic shifting. A newly published function version should initially make available only to a fixed percentage of production users.

Which solution will meet these requirements?

Options :

A : Configure routing on the alias of the new function by using a weighted alias.

B : Configure a canary deployment type for Lambda.

C : Configure routing on the new versions by using environment variables.

D : Configure a linear deployment type for Lambda.

Answer: B

Question 3

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 :

A :

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.

B :

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.

C :

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.

D :

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.

Answer: A

Question 4

A Developer is creating a banking application that will be used to view financial transactions and statistics. The application requires multi-factor authentication to be added to the login protocol.

Which service should be used to meet this requirement?

Options :

A : Amazon Cognito User Pool with MFA

B : Amazon Cognito Identity Pool with MFA

C : AWS IAM with MFA

D : AWS Directory Service

Answer: A

Question 5

A company has an ecommerce application. To track product reviews, the company's development team uses an Amazon DynamoDB table. Every record includes the following • A Review ID a 16-digrt universally unique identifier (UUID) • A Product ID and User ID 16 digit UUlDs that reference other tables • A Product Rating on a scale of 1-5 • An optional comment from the user The table partition key is the Review ID. The most performed query against the table is to find the 10 reviews with the highest rating for a given product. Which index will provide the FASTEST response for this query"?

Options :

A :

A global secondary index (GSl) with Product ID as the partition key and Product Rating as the sort key

B :

A global secondary index (GSl) with Product ID as the partition key and Review ID as the sort key

C :

A local secondary index (LSI) with Product ID as the partition key and Product Rating as the sort key

D :

A local secondary index (LSI) with Review ID as the partition key and Product ID as the sort key

Answer: A