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Free DBS-C01 Exam Braindumps
AWS Certified Database - Specialty Questions 91–95 (page: 20)

Updated On: 10-Feb-2026
Page 20 of 67
PDF with 359 Questions

A database specialist at a large multi-national financial company is in charge of designing the disaster recovery strategy for a highly available application that is in development. The application uses an Amazon DynamoDB table as its data store. The application requires a recovery time objective (RTO) of 1 minute and a recovery point objective (RPO) of 2 minutes.

Which operationally efficient disaster recovery strategy should the database specialist recommend for the DynamoDB table?

  1. Create a DynamoDB stream that is processed by an AWS Lambda function that copies the data to a DynamoDB table in another Region.
  2. Use a DynamoDB global table replica in another Region. Enable point-in-time recovery for both tables.
  3. Use a DynamoDB Accelerator table in another Region. Enable point-in-time recovery for the table.
  4. Create an AWS Backup plan and assign the DynamoDB table as a resource.

Answer(s): B



A small startup company is looking to migrate a 4 TB on-premises MySQL database to AWS using an Amazon RDS for MySQL DB instance.

Which strategy would allow for a successful migration with the LEAST amount of downtime?

  1. Deploy a new RDS for MySQL DB instance and configure it for access from the on-premises data center. Use the mysqldump utility to create an initial snapshot from the on-premises MySQL server, and copy it to an Amazon S3 bucket. Import the snapshot into the DB instance utilizing the MySQL utilities running on an Amazon EC2 instance. Immediately point the application to the DB instance.
  2. Deploy a new Amazon EC2 instance, install the MySQL software on the EC2 instance, and configure networking for access from the on-premises data center. Use the mysqldump utility to create a snapshot of the on-premises MySQL server. Copy the snapshot into the EC2 instance and restore it into the EC2 MySQL instance. Use AWS DMS to migrate data into a new RDS for MySQL DB instance. Point the application to the DB instance.
  3. Deploy a new Amazon EC2 instance, install the MySQL software on the EC2 instance, and configure networking for access from the on-premises data center. Use the mysqldump utility to create a snapshot of the on-premises MySQL server. Copy the snapshot into an Amazon S3 bucket and import the snapshot into a new RDS for MySQL DB instance using the MySQL utilities running on an EC2 instance. Point the application to the DB instance.
  4. Deploy a new RDS for MySQL DB instance and configure it for access from the on-premises data center. Use the mysqldump utility to create an initial snapshot from the on-premises MySQL server, and copy it to an Amazon S3 bucket. Import the snapshot into the DB instance using the MySQL utilities running on an Amazon EC2 instance. Establish replication into the new DB instance using MySQL replication. Stop application access to the on-premises MySQL server and let the remaining transactions replicate over. Point the application to the DB instance.

Answer(s): D



A software development company is using Amazon Aurora MySQL DB clusters for several use cases, including development and reporting. These use cases place unpredictable and varying demands on the Aurora DB clusters, and can cause momentary spikes in latency. System users run ad-hoc queries sporadically throughout the week. Cost is a primary concern for the company, and a solution that does not require significant rework is needed.

Which solution meets these requirements?

  1. Create new Aurora Serverless DB clusters for development and reporting, then migrate to these new DB clusters.
  2. Upgrade one of the DB clusters to a larger size, and consolidate development and reporting activities on this larger DB cluster.
  3. Use existing DB clusters and stop/start the databases on a routine basis using scheduling tools.
  4. Change the DB clusters to the burstable instance family.

Answer(s): A



A database specialist is building a system that uses a static vendor dataset of postal codes and related territory information that is less than 1 GB in size. The dataset is loaded into the application’s cache at start up. The company needs to store this data in a way that provides the lowest cost with a low application startup time.

Which approach will meet these requirements?

  1. Use an Amazon RDS DB instance. Shut down the instance once the data has been read.
  2. Use Amazon Aurora Serverless. Allow the service to spin resources up and down, as needed.
  3. Use Amazon DynamoDB in on-demand capacity mode.
  4. Use Amazon S3 and load the data from flat files.

Answer(s): D



A database specialist needs to review and optimize an Amazon DynamoDB table that is experiencing performance issues. A thorough investigation by the database specialist reveals that the partition key is causing hot partitions, so a new partition key is created. The database specialist must effectively apply this new partition key to all existing and new data.

How can this solution be implemented?

  1. Use Amazon EMR to export the data from the current DynamoDB table to Amazon S3. Then use Amazon EMR again to import the data from Amazon S3 into a new DynamoDB table with the new partition key.
  2. Use AWS DMS to copy the data from the current DynamoDB table to Amazon S3. Then import the DynamoDB table to create a new DynamoDB table with the new partition key.
  3. Use the AWS CLI to update the DynamoDB table and modify the partition key.
  4. Use the AWS CLI to back up the DynamoDB table. Then use the restore-table-from-backup command and modify the partition key.

Answer(s): A



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