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NEW QUESTION 30
A company hosts an on-premises Microsoft SQL Server Enterprise edition database with Transparent Data Encryption (TDE) enabled. The database is 20 TB in size and includes sparse tables. The company needs to migrate the database to Amazon RDS for SQL Server during a maintenance window that is scheduled for an upcoming weekend. Data-at-rest encryption must be enabled for the target DB instance.
Which combination of steps should the company take to migrate the database to AWS in the MOST operationally efficient manner? (Choose two.)

  • A. Encrypt the data with client-side encryption before transferring the data to Amazon RDS.
  • B. Disable TDE. Create a database backup without encryption. Copy the backup to Amazon S3.
  • C. Restore the backup to the RDS for SQL Server DB instance. Enable TDE for the RDS for SQL Server DB instance.
  • D. Use AWS Database Migration Service (AWS DMS) to migrate from the on-premises source database to the RDS for SQL Server target database.
  • E. Set up an AWS Snowball Edge device. Copy the database backup to the device. Send the device to AWS. Restore the database from Amazon S3.

Answer: B,C

Explanation:
https://aws.amazon.com/blogs/database/migrate-tde-enabled-sql-server-databases-to-amazon-rds-for-sql-server/

 

NEW QUESTION 31
An Amazon RDS EBS-optimized instance with Provisioned IOPS (PIOPS) storage is using less than half of its allocated IOPS over the course of several hours under constant load. The RDS instance exhibits multi-second read and write latency, and uses all of its maximum bandwidth for read throughput, yet the instance uses less than half of its CPU and RAM resources.
What should a Database Specialist do in this situation to increase performance and return latency to sub-second levels?

  • A. Change the underlying EBS storage type to General Purpose SSD (gp2)
  • B. Change the DB instance to an instance class with a higher maximum bandwidth
  • C. Disable EBS optimization on the DB instance
  • D. Increase the size of the DB instance storage

Answer: A

 

NEW QUESTION 32
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. 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.
  • C. Quickly rewind the DB cluster to a point in time before the release using Backtrack.
  • D. 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.

Answer: B

 

NEW QUESTION 33
An worldwide gaming company's development team is experimenting with using Amazon DynamoDB to store in-game events for three mobile titles. Maximum concurrent users for the most popular game is 500,000, while the least popular game is 10,000. The typical event is 20 KB in size, while the average user session generates one event each second. Each event is assigned a millisecond time stamp and a globally unique identification.
The lead developer generated a single DynamoDB database with the following structure for the events:
* Partition key: game name
* Sort key: event identifier
* Local secondary index: player identifier
* Event time
In a small-scale development setting, the tests were successful. When the application was deployed to production, however, new events were not being added to the database, and the logs indicated DynamoDB failures with the ItemCollectionSizeLimitExceededException issue code.
Which design modification should a database professional offer to the development team?

  • A. Use the player identifier as the partition key. Use the event time as the sort key. Add a global secondary index with the game name as the partition key and the event time as the sort key.
  • B. Create two tables. Use the game name as the partition key in both tables. Use the event time as the sort key for the first table. Use the player identifier as the sort key for the second table.
  • C. Replace the sort key with a compound value consisting of the player identifier collated with the event time, separated by a dash. Add a local secondary index with the player identifier as the sort key.
  • D. Create one table for each game. Use the player identifier as the partition key. Use the event time as the sort key.

Answer: D

 

NEW QUESTION 34
A database specialist was alerted that a production Amazon RDS MariaDB instance with 100 GB of storage was out of space. In response, the database specialist modified the DB instance and added 50 GB of storage capacity. Three hours later, a new alert is generated due to a lack of free space on the same DB instance. The database specialist decides to modify the instance immediately to increase its storage capacity by 20 GB.
What will happen when the modification is submitted?

  • A. The request will succeed only if CPU utilization is less than 10%.
  • B. The request will fail as the most recent modification was too soon.
  • C. The request will succeed only if the primary instance is in active status.
  • D. The request will fail because this storage capacity is too large.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PIOPS.StorageTypes.html

 

NEW QUESTION 35
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