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NEW QUESTION 21
A bike rental company operates an application to track its bikes. The application receives location and condition data from bike sensors. The application also receives rental transaction data from the associated mobile app.
The application uses Amazon DynamoDB as its database layer. The company has configured DynamoDB with provisioned capacity set to 20% above the expected peak load of the application. On an average day, DynamoDB used 22 billion read capacity units (RCUs) and 60 billion write capacity units (WCUs). The application is running well. Usage changes smoothly over the course of the day and is generally shaped like a bell curve. The timing and magnitude of peaks vary based on the weather and season, but the general shape is consistent.
Which solution will provide the MOST cost optimization of the DynamoDB database layer?

• A. Enable DynamoDB capacity-based auto scaling.
• B. Use AWS Auto Scaling and configure time-based scaling.
• C. Enable DynamoDB Accelerator (DAX).
• D. Change the DynamoDB tables to use on-demand capacity.

Answer: A

Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/AutoScaling.html

NEW QUESTION 22
A company is due for renewing its database license. The company wants to migrate its 80 TB transactional database system from on-premises to the AWS Cloud. The migration should incur the least possible downtime on the downstream database applications. The company's network infrastructure has limited network bandwidth that is shared with other applications.
Which solution should a database specialist use for a timely migration?

• A. Perform a full backup of the source database to AWS Snowball Edge appliances and ship them to be loaded to Amazon S3. Periodically perform incremental backups of the source database to be shipped in another Snowball Edge appliance to handle syncing change data capture (CDC) data from the source to the target database.
• B. Perform a full backup of the source database to AWS Snowball Edge appliances and ship them to be loaded to Amazon S3. Use AWS DMS to migrate change data capture (CDC) data from the source database to Amazon S3. Use a second AWS DMS task to migrate all the S3 data to the target database.
• C. Use the AWS Schema Conversion Tool (AWS SCT) to migrate the full load of the source database over a VPN tunnel using the internet for its primary connection. Allow AWS SCT to handle syncing change data capture (CDC) data from the source to the target database.
• D. Use AWS DMS to migrate the full load of the source database over a VPN tunnel using the internet for its primary connection. Allow AWS DMS to handle syncing change data capture (CDC) data from the source to the target database.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_Target.S3.html Using Amazon S3 as a target for AWS Database Migration Service

NEW QUESTION 23
A company is going to use an Amazon Aurora PostgreSQL DB cluster for an application backend. The DB cluster contains some tables with sensitive data. A Database Specialist needs to control the access privileges at the table level.
How can the Database Specialist meet these requirements?

• A. Define access privileges to the tables containing sensitive data in the pg_hba.conf file.
• B. Use AWS IAM database authentication and restrict access to the tables using an IAM policy.
• C. Execute GRANT and REVOKE commands that restrict access to the tables containing sensitive data.
• D. Configure the rules in a NACL to restrict outbound traffic from the Aurora DB cluster.

Answer: C

NEW QUESTION 24
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