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Preparation AWS-Certified-Database-Specialty Store & AWS-Certif

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  To prepare for the AWS Certified Database - Specialty (DBS-C01) exam, candidates should have a good understanding of database concepts, as well as experience in using AWS services. AWS offers a range of training and resources to help candidates prepare for the exam, including online courses, practice exams, and study guides. Candidates can also benefit from hands-on experience with AWS services, as well as by participating in AWS events and webinars.

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  The Amazon DBS-C01 (AWS Certified Database - Specialty (DBS-C01)) Certification Exam is a professional-level certification aimed at database administrators, developers, and architects looking to validate their knowledge of AWS database services. This certification is designed to test the candidate’s skills in designing, deploying, and managing AWS database solutions. The exam covers a range of topics, including relational, non-relational, and data warehousing databases, and is intended for candidates who have at least five years of experience working with databases.

  Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q132-Q137):

  NEW QUESTION # 132
  A Database Specialist must create a read replica to isolate read-only queries for an Amazon RDS for MySQL DB instance. Immediately after creating the read replica, users that query it report slow response times.
  What could be causing these slow response times?

  • A. New volumes created from snapshots load lazily in the background
  • B. Overload of a single replication thread by excessive writes on the master snapshot is lazy loaded If the volume is accessed where the data is not loaded, the application accessing the volume encounters a higher latency than normal while the data gets loaded
  • C. Long-running statements on the master
  • D. Insufficient resources on the master

  Answer: A

  
  

  NEW QUESTION # 133
  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. Add a Neptune read replica to the cluster. Promote this replica as a new primary DB instance. Reset the storage space of the cluster.
  • C. Take a snapshot of the cluster volume. Restore the snapshot in another cluster with a smaller volume size.
  • D. Use the AWS CLI to turn on automatic resizing of the cluster volume.

  Answer: A

  Explanation:
  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 # 134
  After restoring an Amazon RDS snapshot from 3 days ago, a company's Development team cannot connect tothe restored RDS DB instance. What is the likely cause of this problem?

  • A. The production DB instance is using a custom parameter group
  • B. The restored DB instance does not have Enhanced Monitoring enabled
  • C. The production DB instance is using a custom option group
  • D. The restored DB instance is using the default security group

  Answer: A

  
  

  NEW QUESTION # 135
  The Development team recently executed a database script containing several data definition language (DDL) and data manipulation language (DML) statements on an Amazon Aurora MySQL DB cluster. The release accidentally deleted thousands of rows from an important table and broke some application functionality. This was discovered 4 hours after the release. Upon investigation, a Database Specialist tracked the issue to a DELETE command in the script with an incorrect WHERE clause filtering the wrong set of rows.
  The Aurora DB cluster has Backtrack enabled with an 8-hour backtrack window. The Database Administrator also took a manual snapshot of the DB cluster before the release started. The database needs to be returned to the correct state as quickly as possible to resume full application functionality. Data loss must be minimal. How can the Database Specialist accomplish this?

  • A. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
  • B. Restore the DB cluster using the manual backup snapshot created before the release and change the application configuration settings to point to the new DB cluster.
  • C. Perform a point-in-time recovery (PITR) of the DB cluster to a time before the release and copy the deleted rows from the restored database to the original database.
  • D. Create a clone of the DB cluster with Backtrack enabled. Rewind the cloned cluster to a point in time before the release. Copy deleted rows from the clone to the original database.

  Answer: D

  
  

  NEW QUESTION # 136
  A software company is conducting a security audit of its three-node Amazon Aurora MySQL DB cluster.
  Which finding is a security concern that needs to be addressed?

  • A. The IAM credentials used by the application are not rotated regularly.
  • B. Each Aurora DB cluster node is not in a separate private VPC with restricted access.
  • C. Encryption in transit is not configured for all Aurora native backup processes.
  • D. The AWS account root user does not have the minimum privileges required for client applications.

  Answer: A

  Explanation:
  Rotate your IAM credentials regularly.

  
  

  NEW QUESTION # 137
  ......

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