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Free DBS-C01 Exam Braindumps
AWS Certified Database - Specialty Questions 66–70 (page: 15)

Updated On: 10-Feb-2026
Page 15 of 67
PDF with 359 Questions

A company wants to automate the creation of secure test databases with random credentials to be stored safely for later use. The credentials should have sufficient information about each test database to initiate a connection and perform automated credential rotations. The credentials should not be logged or stored anywhere in an unencrypted form.
Which steps should a Database Specialist take to meet these requirements using an AWS CloudFormation template?

  1. Create the database with the MasterUserName and MasterUserPassword properties set to the default values. Then, create the secret with the user name and password set to the same default values. Add a Secret Target Attachment resource with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database. Finally, update the secret’s password value with a randomly generated string set by the GenerateSecretString property.
  2. Add a Mapping property from the database Amazon Resource Name (ARN) to the secret ARN. Then, create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add the database with the MasterUserName and MasterUserPassword properties set to the user name of the secret.
  3. Add a resource of type AWS::SecretsManager::Secret and specify the GenerateSecretString property. Then, define the database user name in the SecureStringTemplate template. Create a resource for the database and reference the secret string for the MasterUserName and MasterUserPassword properties. Then, add a resource of type AWS::SecretsManagerSecretTargetAttachment with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database.
  4. Create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add an SecretTargetAttachment resource with the SecretId property set to the Amazon Resource Name (ARN) of the secret and the TargetId property set to a parameter value matching the desired database ARN. Then, create a database with the MasterUserName and MasterUserPassword properties set to the previously created values in the secret.

Answer(s): C

Explanation:


Reference:

https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource- secretsmanager-secrettargetattachment.html



A company is going to use an Amazon Aurora PostgreSQL DB cluster for an application backend. The DB cluster contains some tables with sensitive data. A Database Specialist needs to control the access privileges at the table level.
How can the Database Specialist meet these requirements?

  1. Use AWS IAM database authentication and restrict access to the tables using an IAM policy.
  2. Configure the rules in a NACL to restrict outbound traffic from the Aurora DB cluster.
  3. Execute GRANT and REVOKE commands that restrict access to the tables containing sensitive data.
  4. Define access privileges to the tables containing sensitive data in the pg_hba.conf file.

Answer(s): C


Reference:

https://aws.amazon.com/blogs/database/managing-postgresql-users-and-roles/



A Database Specialist is working with a company to launch a new website built on Amazon Aurora with several Aurora Replicas. This new website will replace an on-premises website connected to a legacy relational database. Due to stability issues in the legacy database, the company would like to test the resiliency of Aurora.
Which action can the Database Specialist take to test the resiliency of the Aurora DB cluster?

  1. Stop the DB cluster and analyze how the website responds
  2. Use Aurora fault injection to crash the master DB instance
  3. Remove the DB cluster endpoint to simulate a master DB instance failure
  4. Use Aurora Backtrack to crash the DB cluster

Answer(s): B


Reference:

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.FaultInjectionQueries.html



A company just migrated to Amazon Aurora PostgreSQL from an on-premises Oracle database. After the migration, the company discovered there is a period of time every day around 3:00 PM where the response time of the application is noticeably slower. The company has narrowed down the cause of this issue to the database and not the application.
Which set of steps should the Database Specialist take to most efficiently find the problematic PostgreSQL query?

  1. Create an Amazon CloudWatch dashboard to show the number of connections, CPU usage, and disk space consumption. Watch these dashboards during the next slow period.
  2. Launch an Amazon EC2 instance, and install and configure an open-source PostgreSQL monitoring tool that will run reports based on the output error logs.
  3. Modify the logging database parameter to log all the queries related to locking in the database and then check the logs after the next slow period for this information.
  4. Enable Amazon RDS Performance Insights on the PostgreSQL database. Use the metrics to identify any queries that are related to spikes in the graph during the next slow period.

Answer(s): D



A company has a web-based survey application that uses Amazon DynamoDB. During peak usage, when survey responses are being collected, a Database Specialist sees the Provisioned Through put Exceeded Exception error.
What can the Database Specialist do to resolve this error? (Choose two.)

  1. Change the table to use Amazon DynamoDB Streams
  2. Purchase DynamoDB reserved capacity in the affected Region
  3. Increase the write capacity units for the specific table
  4. Change the table capacity mode to on-demand
  5. Change the table type to throughput optimized

Answer(s): C,D


Reference:

https://forums.aws.amazon.com/thread.jspa?threadID=174315



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