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NEW QUESTION 45
A company has two separate AWS accounts: one for the business unit and another for corporate analytics. The company wants to replicate the business unit data stored in Amazon RDS for MySQL in us-east-1 to its corporate analytics Amazon Redshift environment in us-west-1. The company wants to use AWS DMS with Amazon RDS as the source endpoint and Amazon Redshift as the target endpoint.
Which action will allow AVS DMS to perform the replication?

  • A. Configure the AWS DMS replication instance in its own account and in the same Region as Amazon Redshift.
  • B. Configure the AWS DMS replication instance in the same account and Region as Amazon Redshift.
  • C. Configure the AWS DMS replication instance in the same account and Region as Amazon RDS.
  • D. Configure the AWS DMS replication instance in the same account as Amazon Redshift and in the same Region as Amazon RDS.

Answer: A

 

NEW QUESTION 46
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. 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.
  • B. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
  • C. 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.
  • D. 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.

Answer: B

 

NEW QUESTION 47
A large company is using an Amazon RDS for Oracle Multi-AZ DB instance with a Java application. As a part of its disaster recovery annual testing, the company would like to simulate an Availability Zone failure and record how the application reacts during the DB instance failover activity. The company does not want to make any code changes for this activity.
What should the company do to achieve this in the shortest amount of time?

  • A. Use a blue-green deployment with a complete application-level failover test
  • B. Add a rule to the NACL to deny all traffic on the subnets associated with a single Availability Zone
  • C. Use the RDS console to reboot the DB instance by choosing the option to reboot with failover
  • D. Use RDS fault injection queries to simulate the primary node failure

Answer: D

 

NEW QUESTION 48
A database professional is tasked with the task of migrating 25 GB of data files from an on-premises storage system to an Amazon Neptune database.
Which method of data loading is the FASTEST?

  • A. Write a utility to read the data from the on-premises storage and run INSERT statements in a loop to load the data into the Neptune database.
  • B. Upload the data to Amazon S3 and use the Loader command to load the data from Amazon S3 into the Neptune database.
  • C. Use AWS DataSync to load the data directly from the on-premises storage into the Neptune database.
  • D. Use the AWS CLI to load the data directly from the on-premises storage into the Neptune database.

Answer: B

Explanation:
1.Copy the data files to an Amazon Simple Storage Service (Amazon S3) bucket.
2. Create an IAM role with Read and List access to the bucket.
3. Create an Amazon S3 VPC endpoint.
4. Start the Neptune loader by sending a request via HTTP to the Neptune DB instance.
5. The Neptune DB instance assumes the IAM role to load the data from the bucket.

 

NEW QUESTION 49
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