Question 1

An AWS Lambda functions downloads a 50MB from an object storage system each time it is invoked. The download delays the function completion and causes intermittent timeouts which is slowing down the application.

How can the application be refactored to resolve the timeout?

Options :

A :

Increase the concurrency allocation of the function

B : Store the file in the /tmp directory of the execution context and reuse it on subsequent invocations

C : Increase the memory allocation of the function

D : Increase the timeout of the function

Answer: B

Question 2

A developer is preparing the resources for creating a multicontainer Docker environment on AWS Elastic Beanstalk. How can the developer define the Docker containers?

Options :

A :

Create a buildspec.yml file and save it at the root of the source directory

B : Define the containers in the Dockerrun.aws.json file in YAML format and save at the root of the source directory

C : Define the containers in the Dockerrun.aws.json file in JSON format and save at the root of the source directory

D : Create a Docker.config file and save it in the .ebextensions folder at the root of the source directory

Answer: C

Question 3

A developer has AWS Lambda functions that need to access a company's internal data science libraries and reference data. Separate teams manage the libraries and the data. The teams must be able to update and upload new data independently. The Lambda functions are connected to the company's central VPC.

Which solution will provide the Lambda functions with access to the libraries and data?

Options :

A : Attach an Amazon Elastic Block Store (Amazon EBS) volume to the Lambda functions by using EBS Multi-Attach in the central VPC. Update the Lambda function execution roles to give the functions to access the EBS volume. Update the Lambda function code to reference the files in the EBS volume.

B : Compress the libraries and reference data in a Lambda /tmp folder. Update the Lambda function code to reference the files in the /tmp folder.

C : Set up an Amazon Elastic File System (Amazon EFS) file system with mount targets in the central VPConfigure the Lambda functions to mount the EFS file system. Update the Lambda function execution roles to give the functions to access the EFS file system.

D : Set up an Amazon FSx for Windows File Server file system with mount targets in the central VPC. Configure the Lambda functions to mount the Amazon FSx file system. Update the Lambda function execution roles to give the functions to access the Amazon FSx file system.

Answer: C

Question 4

A developer is planning to launch as serverless application composed of AWS Lambda, Amazon API Gateway, and Amazon DynamoDB. What is the EASIEST way to deploy the application using simple syntax?

Options :

A : Use the Serverless Application Repository

B : Use AWS Elastic Beanstalk

C : Use the Serverless Application Model

D : Use AWS CloudFormation

Answer: C

Question 5

A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository. Which solution will meet this requirement MOST cost-effectively?

Options :

A :

Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.

B :

Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.

C :

Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.

D :

Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.

Answer: C

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