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NEW QUESTION 23
On a single Amazon RDS DB instance, a business hosts a MySQL database for its ecommerce application.
Automatically saving application purchases to the database results in high-volume writes. Employees routinely create purchase reports for the company. The organization wants to boost database performance and minimize downtime associated with upgrade patching.
Which technique will satisfy these criteria with the LEAST amount of operational overhead?
- A. Enable a Multi-AZ deployment of the RDS for MySQL DB instance, and add a read replica.
- B. Add a read replica and promote it to an Amazon Aurora MySQL DB cluster master. Then enable Amazon Aurora Serverless.
- C. Enable a Multi-AZ deployment of the RDS for MySQL DB instance, and enable Memcached in the MySQL option group.
- D. Enable a Multi-AZ deployment of the RDS for MySQL DB instance, and set up replication to a MySQL DB instance running on Amazon EC2.
Answer: A
NEW QUESTION 24
An ecommerce company has tasked a Database Specialist with creating a reporting dashboard that visualizes critical business metrics that will be pulled from the core production database running on Amazon Aurora.
Data that is read by the dashboard should be available within 100 milliseconds of an update.
The Database Specialist needs to review the current configuration of the Aurora DB cluster and develop a cost-effective solution. The solution needs to accommodate the unpredictable read workload from the reporting dashboard without any impact on the write availability and performance of the DB cluster.
Which solution meets these requirements?
- A. Add an automatic scaling policy to the DB cluster to add Aurora Replicas to the cluster based on CPUconsumption.
- B. Provision a clone of the existing DB cluster for the new Application team.
- C. Create a separate DB cluster for the new workload, refresh from the source DB cluster, and set up ongoingreplication using AWS DMS change data capture (CDC).
- D. Turn on the serverless option in the DB cluster so it can automatically scale based on demand.
Answer: D
NEW QUESTION 25
A company has an application that uses an Amazon DynamoDB table to store user data. Every morning, a single-threaded process calls the DynamoDB API Scan operation to scan the entire table and generate a critical start-of-day report for management. A successful marketing campaign recently doubled the number of items in the table, and now the process takes too long to run and the report is not generated in time.
A database specialist needs to improve the performance of the process. The database specialist notes that, when the process is running, 15% of the table's provisioned read capacity units (RCUs) are being used.
What should the database specialist do?
- A. Double the table's provisioned RCUs.
- B. Set the Limit and Offset parameters before every call to the API.
- C. Use four threads and parallel DynamoDB API Scan operations.
- D. Enable auto scaling for the DynamoDB table.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Scan.html#Scan.ParallelScan
NEW QUESTION 26
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