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NEW QUESTION 49
A company is developing a multi-tier web application hosted on AWS using Amazon Aurora as the database. The application needs to be deployed to production and other non-production environments. A Database Specialist needs to specify different MasterUsername and MasterUserPassword properties in the AWS CloudFormation templates used for automated deployment. The CloudFormation templates are version controlled in the company's code repository. The company also needs to meet compliance requirement by routinely rotating its database master password for production.
What is most secure solution to store the master password?

A. Store the master password in a parameter file in each environment. Reference the environment-specific parameter file in the CloudFormation template.B. Encrypt the master password using an AWS KMS key. Store the encrypted master password in the CloudFormation template.C. Use the ssm dynamic reference to retrieve the master password stored in the AWS Systems Manager Parameter Store and enable automatic rotation.D. Use the secretsmanager dynamic reference to retrieve the master password stored in AWS Secrets Manager and enable automatic rotation.

Answer: D

 

NEW QUESTION 50
A company developed a new application that is deployed on Amazon EC2 instances behind an Application Load Balancer. The EC2 instances use the security group named sg-application-servers. The company needs a database to store the data from the application and decides to use an Amazon RDS for MySQL DB instance.
The DB instance is deployed in private DB subnet.
What is the MOST restrictive configuration for the DB instance security group?

A. Only allow incoming traffic from the sg-application-servers security group on port 3306.B. Only allow incoming traffic from the subnet of the application servers on port 443.C. Only allow incoming traffic from the subnet of the application servers on port 3306.D. Only allow incoming traffic from the sg-application-servers security group on port 443.

Answer: A

Explanation:
Explanation
most restrictive approach is to allow only incoming connections from SG of EC2 instance on port 3306

 

NEW QUESTION 51
A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company's network bandwidth is available.
How should the company perform this data load?

A. Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.B. Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.C. Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.D. Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

Answer: A

 

NEW QUESTION 52
A business is operating an on-premises application that is divided into three tiers: web, application, and MySQL database. The database is predominantly accessed during business hours, with occasional bursts of activity throughout the day. As part of the company's shift to AWS, a database expert wants to increase the availability and minimize the cost of the MySQL database tier.
Which MySQL database choice satisfies these criteria?

A. Amazon RDS for MySQL with read replicaB. Amazon RDS for MySQL with Multi-AZC. Amazon Aurora Serverless MySQL clusterD. Amazon Aurora MySQL cluster

Answer: C

Explanation:
Amazon Aurora Serverless v1 is a simple, cost-effective option for infrequent, intermittent, or unpredictable workloads. https://aws.amazon.com/rds/aurora/serverless/

 

NEW QUESTION 53
A bike rental company operates an application to track its bikes. The application receives location and condition data from bike sensors. The application also receives rental transaction data from the associated mobile app.
The application uses Amazon DynamoDB as its database layer. The company has configured DynamoDB with provisioned capacity set to 20% above the expected peak load of the application. On an average day, DynamoDB used 22 billion read capacity units (RCUs) and 60 billion write capacity units (WCUs). The application is running well. Usage changes smoothly over the course of the day and is generally shaped like a bell curve. The timing and magnitude of peaks vary based on the weather and season, but the general shape is consistent.
Which solution will provide the MOST cost optimization of the DynamoDB database layer?

A. Enable DynamoDB Accelerator (DAX).B. Enable DynamoDB capacity-based auto scaling.C. Change the DynamoDB tables to use on-demand capacity.D. Use AWS Auto Scaling and configure time-based scaling.

Answer: B

Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html

 

NEW QUESTION 54
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