A major organization maintains a number of Amazon DB clusters. Each of these clusters is configured differently to meet certain needs. These configurations may be classified into wider groups based on the team and use case.
A database administrator wishes to streamline the process of storing and updating these settings. Additionally, the database administrator want to guarantee that changes to certain configuration categories are automatically implemented to all instances as necessary.
Which AWS service or functionality will assist in automating and achieving this goal?

• A.AWS Systems Manager Parameter Store
• B.DB parameter group
• C.AWS Config
• D.AWS Secrets Manager

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In one AWS account, a business runs a two-tier ecommerce application. An Amazon RDS for MySQL Multi-AZ database instance serves as the application's backend. A developer removed the database instance in the production environment by accident. Although the organization recovers the database, the incident results in hours of outage and financial loss.
Which combination of adjustments would reduce the likelihood that this error will occur again in the future?
(Select three.)

• A.Use an ACL policy to restrict users from DB instance deletion.
• B.Enable deletion protection on existing production DB instances.
• C.Allow all users to restore a database from a backup.
• D.Enable AWS CloudTrail logging and Enhanced Monitoring.
• E.Grant least privilege to groups, IAM users, and roles.

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A company is running a finance application on an Amazon RDS for MySQL DB instance. The application is governed by multiple financial regulatory agencies. The RDS DB instance is set up with security groups to allow access to certain Amazon EC2 servers only. AWS KMS is used for encryption at rest.
Which step will provide additional security?

• A.Set up a security group that blocks SSH to the DB instance
• B.Set up RDS to use SSL for data in transit
• C.Disable the master user account
• D.Set up NACLs that allow the entire EC2 subnet to access the DB instance

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A company developed an AWS CloudFormation template used to create all new Amazon DynamoDB tables in its AWS account. The template configures provisioned throughput capacity using hard-coded values. The company wants to change the template so that the tables it creates in the future have independently configurable read and write capacity units assigned.
Which solution will enable this change?

• A.Add values for the rcuCount and wcuCount parameters to the Mappings section of the template.
  Replacethe hard-coded values with calls to the Ref intrinsic function, referencing the new parameters.
• B.Add values for the rcuCount and wcuCount parameters as outputs of the template. Configure DynamoDBto provision throughput capacity using the stack outputs.
• C.Add values for the rcuCount and wcuCount parameters to the Mappings section of the template.
  ConfigureDynamoDB to provision throughput capacity using the stack's mappings.
• D.Add values for two Number parameters, rcuCount and wcuCount, to the template. Replace the hard-codedvalues with calls to the Ref intrinsic function, referencing the new parameters.

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An ecommerce company has tasked a Database Specialist with creating a reporting dashboard that visualizes critical business metrics that will be pulled from the core production database running on Amazon Aurora.
Data that is read by the dashboard should be available within 100 milliseconds of an update.
The Database Specialist needs to review the current configuration of the Aurora DB cluster and develop a cost-effective solution. The solution needs to accommodate the unpredictable read workload from the reporting dashboard without any impact on the write availability and performance of the DB cluster.
Which solution meets these requirements?

• A.Provision a clone of the existing DB cluster for the new Application team.
• B.Create a separate DB cluster for the new workload, refresh from the source DB cluster, and set up ongoingreplication using AWS DMS change data capture (CDC).
• C.Add an automatic scaling policy to the DB cluster to add Aurora Replicas to the cluster based on CPUconsumption.
• D.Turn on the serverless option in the DB cluster so it can automatically scale based on demand.

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