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Amazon AWS Certified Database - Specialty AWS Certified Database - Specialty Dumps in PDF

Free Amazon AWS Certified Database - Specialty Real Questions (page: 2)

AWS Certified Database - Specialty PDF — 359 Questions

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?

  1. 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.
  2. Use the pg_dump and pg_restore utilities to extract and restore the RDS for PostgreSQL DB instance to the Aurora PostgreSQL DB cluster.
  3. Create a database snapshot of the RDS for PostgreSQL DB instance and use this snapshot to create the Aurora PostgreSQL DB cluster.
  4. 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.

Answer(s): D



A Database Specialist is migrating a 2 TB Amazon RDS for Oracle DB instance to an RDS for PostgreSQL DB instance using AWS DMS. The source RDS Oracle DB instance is in a VPC in the us-east-1 Region. The target RDS for PostgreSQL DB instance is in a VPC in the use-west-2 Region.

Where should the AWS DMS replication instance be placed for the MOST optimal performance?

  1. In the same Region and VPC of the source DB instance
  2. In the same Region and VPC as the target DB instance
  3. In the same VPC and Availability Zone as the target DB instance
  4. In the same VPC and Availability Zone as the source DB instance

Answer(s): C



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?

  1. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
  2. 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.
  3. 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.
  4. 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(s): B



A company is load testing its three-tier production web application deployed with an AWS CloudFormation template on AWS. The Application team is making changes to deploy additional Amazon EC2 and AWS Lambda resources to expand the load testing capacity. A Database Specialist wants to ensure that the changes made by the Application team will not change the Amazon RDS database resources already deployed.
Which combination of steps would allow the Database Specialist to accomplish this? (Choose two.)

  1. Review the stack drift before modifying the template
  2. Create and review a change set before applying it
  3. Export the database resources as stack outputs
  4. Define the database resources in a nested stack
  5. Set a stack policy for the database resources

Answer(s): B,E



A manufacturing company’s website uses an Amazon Aurora PostgreSQL DB cluster.
Which configurations will result in the LEAST application downtime during a failover? (Choose three.)

  1. Use the provided read and write Aurora endpoints to establish a connection to the Aurora DB cluster.
  2. Create an Amazon CloudWatch alert triggering a restore in another Availability Zone when the primary Aurora DB cluster is unreachable.
  3. Edit and enable Aurora DB cluster cache management in parameter groups.
  4. Set TCP keepalive parameters to a high value.
  5. Set JDBC connection string timeout variables to a low value.
  6. Set Java DNS caching timeouts to a high value.

Answer(s): A,C,E



A company is hosting critical business data in an Amazon Redshift cluster. Due to the sensitive nature of the data, the cluster is encrypted at rest using AWS KMS. As a part of disaster recovery requirements, the company needs to copy the Amazon Redshift snapshots to another Region.

Which steps should be taken in the AWS Management Console to meet the disaster recovery requirements?

  1. Create a new KMS customer master key in the source Region. Switch to the destination Region, enable Amazon Redshift cross-Region snapshots, and use the KMS key of the source Region.
  2. Create a new IAM role with access to the KMS key. Enable Amazon Redshift cross-Region replication using the new IAM role, and use the KMS key of the source Region.
  3. Enable Amazon Redshift cross-Region snapshots in the source Region, and create a snapshot copy grant and use a KMS key in the destination Region.
  4. Create a new KMS customer master key in the destination Region and create a new IAM role with access to the new KMS key. Enable Amazon Redshift cross-Region replication in the source Region and use the KMS key of the destination Region.

Answer(s): C

Explanation:


Reference:

https://docs.aws.amazon.com/redshift/latest/mgmt/working-with-snapshots.html



A company has a production Amazon Aurora Db cluster that serves both online transaction processing (OLTP) transactions and compute-intensive reports. The reports run for 10% of the total cluster uptime while the OLTP transactions run all the time. The company has benchmarked its workload and determined that a six-node Aurora DB cluster is appropriate for the peak workload.
The company is now looking at cutting costs for this DB cluster, but needs to have a sufficient number of nodes in the cluster to support the workload at different times. The workload has not changed since the previous benchmarking exercise.
How can a Database Specialist address these requirements with minimal user involvement?

  1. Split up the DB cluster into two different clusters: one for OLTP and the other for reporting. Monitor and set up replication between the two clusters to keep data consistent.
  2. Review all evaluate the peak combined workload. Ensure that utilization of the DB cluster node is at an acceptable level. Adjust the number of instances, if necessary.
  3. Use the stop cluster functionality to stop all the nodes of the DB cluster during times of minimal workload. The cluster can be restarted again depending on the workload at the time.
  4. Set up automatic scaling on the DB cluster. This will allow the number of reader nodes to adjust automatically to the reporting workload, when needed.

Answer(s): D



A company is running a finance application on an Amazon RDS for MySQL DB instance. The application is governed by multiple financial regulatory agencies. The RDS DB instance is set up with security groups to allow access to certain Amazon EC2 servers only. AWS KMS is used for encryption at rest.
Which step will provide additional security?

  1. Set up NACLs that allow the entire EC2 subnet to access the DB instance
  2. Disable the master user account
  3. Set up a security group that blocks SSH to the DB instance
  4. Set up RDS to use SSL for data in transit

Answer(s): D

Explanation:


Reference:

https://aws.amazon.com/blogs/database/applying-best-practices-for-securing-sensitive-data-in-amazon-rds/



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