Question 1

A gaming company created a game leaderboard by using a Multi-AZ deployment of an Amazon RDS

database. The number of users is growing, and the queries to get individual player rankings are getting slower

over time. The company expects a surge in users for an upcoming version and wants to optimize the design for

scalability and performance.

Which solution will meet these requirements?

Options :

A :

Migrate the database to Amazon DynamoDB. Store the leader different tables. Use Apache HiveQL

JOIN statements to build the leaderboard

B :

Keep the leaderboard data in the RDS DB instance. Provision a Multi-AZ deployment of an Amazon

ElastiCache for Redis cluster.

C :

Stream the leaderboard data by using Amazon Kinesis Data Firehose with an Amazon S3 bucket as the

destination. Query the S3 bucket by using Amazon Athena for the leaderboard.

D :

Add a read-only replica to the RDS DB instance. Add an RDS Proxy database proxy.

Answer: C

Question 2

A company maintains information on premises in approximately 1 million .csv files that are hosted on a VM. The data initially is 10 TB in size and grows at a rate of 1 TB each week. The company needs to automate backups of the data to the AWS Cloud. Backups of the data must occur daily. The company needs a solution that applies custom filters to back up only a subset of the data that is located in designated source directories. The company has set up an AWS Direct Connect connection. Which solution will meet the backup requirements with the LEAST operational overhead?

Options :

A :

Use the Amazon S3 CopyObject API operation with multipart upload to copy the existing data to Amazon S3. Use the CopyObject API operation to replicate new data to Amazon S3 daily.

B :

Create a backup plan in AWS Backup to back up the data to Amazon S3. Schedule the backup plan to run daily.

C :

Install the AWS DataSync agent as a VM that runs on the on-premises hypervisor. Configure a DataSync task to replicate the data to Amazon S3 daily.

D :

Use an AWS Snowball Edge device for the initial backup. Use AWS DataSync for incremental backups to Amazon S3 daily.

Answer: C

Question 3

A manufacturing company is building an inspection solution for its factory. The company has IP cameras at the end of each assembly line. The company has used Amazon SageMaker to train a machine learning (ML) model to identify common defects from still images.

The company wants to provide local feedback to factory workers when a defect is detected. The company must be able to provide this feedback even if the factory's internet connectivity is down. The company has a local Linux server that hosts an API that provides local feedback to the workers.

How should the company deploy the ML model to meet these requirements?

Options :

A : Set up an Amazon Kinesis video stream from each IP camera to AWS. Use Amazon EC2 instances to take still images of the streams. Upload the images to an Amazon S3 bucket. Deploy a SageMaker endpoint with the ML model. Invoke an AWS Lambda function to call the inference endpoint when new images are uploaded. Configure the Lambda function to call the local API when a defect is detected.

B : Deploy AWS IoT Greengrass on the local server. Deploy the ML model to the Greengrass server. Create a Greengrass component to take still images from the cameras and run inference. Configure the component to call the local API when a defect is detected.

C : Order an AWS Snowball device. Deploy a SageMaker endpoint the ML model and an Amazon EC2 instance on the Snowball device. Take still images from the cameras. Run inference from the EC2 instance. Configure the instance to call the local API when a defect is detected.

D : Deploy Amazon Monitron devices on each IP camera. Deploy an Amazon Monitron Gateway on premises. Deploy the ML model to the Amazon Monitron devices. Use Amazon Monitron health state alarms to call the local API from an AWS Lambda function when a defect is detected.

Answer: B

Question 4

A solutions architect needs to improve an application that is hosted in the AWS Cloud. The application uses an Amazon Aurora MySQL DB instance that is experiencing overloaded connections. Most of the application's operations insert records into the database. The application currently stores credentials in a text-based configuration file.

The solutions architect needs to implement a solution so that the application can handle the current connection load. The solution must keep the credentials secure and must provide the ability to rotate the credentials automatically on a regular basis.

Which solution will meet these requirements?

Options :

A : Deploy an Amazon RDS Proxy layer in front of the DB instance. Store the connection credentials as a secret in AWS Secrets Manager.

B : Deploy an Amazon RDS Proxy layer in front of the DB instance. Store the connection credentials in AWS Systems Manager Parameter Store.

C :

Create an Aurora Replic

a. Store the connection credentials as a secret in AWS Secrets Manager.

D : Create an Aurora Replica. Store the connection credentials in AWS Systems Manager Parameter Store.

Answer: A

Question 5

A company's solution architect is designing a diasaster recovery (DR) solution for an application that runs on AWS. The application uses PostgreSQL 11.7 as its database. The company has an PRO of 30 seconds. The solutions architect must design a DR solution with the primary database in the us-east-1 Region and the database in the us-west-2 Region. What should the solution architect do to meet these requirements with minimum application change?

Options :

A : Migrate the database to Amazon RDS for PostgreSQL in us-east-1. Set up a read replica up a read replica in us-west-2. Set the managed PRO for the RDS database to 30 seconds.

B : Migrate the database to Amazon for PostgreSQL in us-east-1. Set up a standby replica in an Availability Zone in us-west-2, Set the managed PRO for the RDS database to 30 seconds.

C : Migrate the database to an Amazon Aurora PostgreSQL global database with the primary Region as us-east-1 and the secondary Region as us-west-2. Set the managed PRO for the Aurora database to 30 seconds.

D : Migrate the database to Amazon DynamoDB in us-east-1. Set up global tables with replica tables that are created in us-west-2.

Answer: A