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Who should take the AWS Certified Database - Specialty

This is for candidates who can answer questions about:

  • Understand and differentiate the key features of AWS database services
  • Analyze needs and requirements to design and recommend appropriate database solutions using AWS services.

Recommended AWS Knowledge:

  • At least 2 years of hands-on experience working on AWS
  • A minimum of 5 years of experience with common database technologies
  • Experience and expertise working with on-premises and AWS Cloud-based relational and NoSQLdatabases

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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q153-Q158):

NEW QUESTION # 153
Amazon Neptune is being used by a corporation as the graph database for one of its products. During an ETL procedure, the company's data science team produced enormous volumes of temporary data by unintentionally. The Neptune DB cluster extended its storage capacity automatically to handle the added data, but the data science team erased the superfluous data.
What should a database professional do to prevent incurring extra expenditures for cluster volume space that is not being used?

  • A. Export the cluster data into a new Neptune DB cluster.
  • B. Use the AWS CLI to turn on automatic resizing of the cluster volume.
  • C. Take a snapshot of the cluster volume. Restore the snapshot in another cluster with a smaller volume size.
  • D. Add a Neptune read replica to the cluster. Promote this replica as a new primary DB instance. Reset the storage space of the cluster.

Answer: A

Explanation:
The only way to shrink the storage space used by your DB cluster when you have a large amount of unused allocated space is to export all the data in your graph and then reload it into a new DB cluster. Creating and restoring a snapshot does not reduce the amount of storage allocated for your DB cluster, because a snapshot retains the original image of the cluster's underlying storage.


NEW QUESTION # 154
A company is running an Amazon RDS for PostgeSQL DB instance and wants to migrate it to an Amazon Aurora PostgreSQL DB cluster. The current database is 1 TB in size. The migration needs to have minimal downtime.
What is the FASTEST way to accomplish this?

  • A. Migrate data from the RDS for PostgreSQL DB instance to an Aurora PostgreSQL DB cluster using an Aurora Replica. Promote the replica during the cutover.
  • B. Create a database snapshot of the RDS for PostgreSQL DB instance and use this snapshot to create the Aurora PostgreSQL DB cluster.
  • C. Use the pg_dump and pg_restore utilities to extract and restore the RDS for PostgreSQL DB instance to the Aurora PostgreSQL DB cluster.
  • D. Create an Aurora PostgreSQL DB cluster. Set up replication from the source RDS for PostgreSQL DB instance using AWS DMS to the target DB cluster.

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Migrating.html Migrating data from an RDS PostgreSQL DB instance to an Aurora PostgreSQL DB cluster by using an Aurora read replica. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Migrating.html#AuroraPostgreSQL.Migrating.RDSPostgreSQ
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraPostgreSQL.Migrating.html#AuroraPostgreSQL.Migrating.RDSPostgreSQL.Replica


NEW QUESTION # 155
A company has migrated a single MySQL database to Amazon Auror
a. The production data is hosted in a DB cluster in VPC_PROD, and 12 testing environments are hosted in VPC_TEST using the same AWS account. Testing results in minimal changes to the test data. The Development team wants each environment refreshed nightly so each test database contains fresh production data every day.
Which migration approach will be the fastest and most cost-effective to implement?

  • A. Run the master in Amazon Aurora MySQL using Aurora Serverless. Create 12 clones in VPC_TEST, and script the clones to be deleted and re-created nightly.
  • B. Run the master in Amazon Aurora MySQL. Take a nightly snapshot, and restore it into 12 databases in VPC_TEST using Aurora Serverless.
  • C. Run the master in Amazon Aurora MySQL. Create 12 clones in VPC_TEST, and script the clones to be deleted and re-created nightly.
  • D. Run the master in Amazon Aurora MySQL. Create 12 Aurora Replicas in VPC_TEST, and script the replicas to be deleted and re-created nightly.

Answer: C


NEW QUESTION # 156
A Database Specialist migrated an existing production MySQL database from on-premises to an Amazon RDS for MySQL DB instance. However, after the migration, the database needed to be encrypted at rest using AWS KMS. Due to the size of the database, reloading, the data into an encrypted database would be too time-consuming, so it is not an option.
How should the Database Specialist satisfy this new requirement?

  • A. Modify the RDS DB instance. Enable the AWS KMS encryption option that leverages the AWS CLI.
  • B. Create a snapshot of the unencrypted RDS DB instance. Create an encrypted copy of the unencryptedsnapshot. Restore the encrypted snapshot copy.
  • C. Create an encrypted read replica of the RDS DB instance. Promote it the master.
  • D. Restore an unencrypted snapshot into a MySQL RDS DB instance that is encrypted.

Answer: B


NEW QUESTION # 157
A company is loading sensitive data into an Amazon Aurora MySQL database. To meet compliance requirements, the company needs to enable audit logging on the Aurora MySQL DB cluster to audit database activity. This logging will include events such as connections, disconnections, queries, and tables queried. The company also needs to publish the DB logs to Amazon CloudWatch to perform real-time data analysis.
Which solution meets these requirements?

  • A. Enable AWS CloudTrail for the DB instance. Create a filter that provides only connections, disconnections, queries, and tables queried.
  • B. Take a snapshot of the database. Create a new DB instance, and enable custom auditing and logging to CloudWatch. Deactivate the DB instance that has no logging.
  • C. Create a custom DB cluster parameter group. Modify the parameters for Advanced Auditing. Modify the cluster to associate the new custom DB parameter group with the Aurora MySQL DB cluster.
  • D. Modify the default option group parameters to enable Advanced Auditing. Restart the database for the changes to take effect.

Answer: C

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Auditing.html


NEW QUESTION # 158
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