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NEW QUESTION 49
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. Add a rule to the NACL to deny all traffic on the subnets associated with a single Availability Zone
- B. Use RDS fault injection queries to simulate the primary node failure
- C. Use the RDS console to reboot the DB instance by choosing the option to reboot with failover
- D. Use a blue-green deployment with a complete application-level failover test
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_RebootInstance.html
https://exain.wordpress.com/2017/07/12/amazon-rds-multi-az-setup-failover-simulation/
"Rebooting with failover is beneficial when you want to simulate a failure of a DB instance for testing, or restore operations to the original AZ after a failover occurs."
NEW QUESTION 50
A database specialist must create nightly backups of an Amazon DynamoDB table in a mission-critical workload as part of a disaster recovery strategy.
Which backup methodology should the database specialist use to MINIMIZE management overhead?
- A. Create a backup plan using AWS Backup, specify a backup frequency of every 24 hours, and give the plan a nightly backup window.
- B. Configure DynamoDB backup and restore for an on-demand backup frequency of every 24 hours.
- C. Install the AWS CLI on an Amazon EC2 instance. Write a CLI command that creates a backup of the DynamoDB table. Create a scheduled job or task that executes the command on a nightly basis.
- D. Create an AWS Lambda function that creates a backup of the DynamoDB table. Create an Amazon CloudWatch Events rule that executes the Lambda function on a nightly basis.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/CreateBackup.html#:~:text=If%20you%2
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/backuprestore_HowItWorks.html
NEW QUESTION 51
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. 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.
- 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. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
- 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 52
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?
- A. Use existing DB clusters and stop/start the databases on a routine basis using scheduling tools.
- B. Upgrade one of the DB clusters to a larger size, and consolidate development and reporting activities on this larger DB cluster.
- C. Change the DB clusters to the burstable instance family.
- D. Create new Aurora Serverless DB clusters for development and reporting, then migrate to these new DB clusters.
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Concepts.DBInstanceClass.html
NEW QUESTION 53
A banking company recently launched an Amazon RDS for MySQL DB instance as part of a proof-of-concept project. A database specialist has configured automated database snapshots. As a part of routine testing, the database specialist noticed one day that the automated database snapshot was not created.
Which of the following are possible reasons why the snapshot was not created? (Choose two.)
- A. The RDS maintenance window is not configured.
- B. RDS event notifications have not been enabled.
- C. A copy of the RDS automated snapshot for this DB instance is in progress in a different AWS Region.
- D. The RDS DB instance is in the STORAGE_FULL state.
- E. A copy of the RDS automated snapshot for this DB instance is in progress within the same AWS Region.
Answer: D,E
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_WorkingWithAutomatedBackups.html
NEW QUESTION 54
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