Free DBS-C01 Exam Braindumps (page: 24)

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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



A company is going through a security audit. The audit team has identified cleartext master user password in the AWS CloudFormation templates for Amazon RDS for MySQL DB instances. The audit team has flagged this as a security risk to the database team.

What should a database specialist do to mitigate this risk?

  1. Change all the databases to use AWS IAM for authentication and remove all the cleartext passwords in CloudFormation templates.
  2. Use an AWS Secrets Manager resource to generate a random password and reference the secret in the CloudFormation template.
  3. Remove the passwords from the CloudFormation templates so Amazon RDS prompts for the password when the database is being created.
  4. Remove the passwords from the CloudFormation template and store them in a separate file. Replace the passwords by running CloudFormation using a sed command.

Answer(s): B



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