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NEW QUESTION 32
A company wants to migrate its Microsoft SQL Server Enterprise Edition database instance from on-premises to AWS. A deep review is performed and the AWS Schema Conversion Tool (AWS SCT) provides options for running this workload on Amazon RDS for SQL Server Enterprise Edition, Amazon RDS for SQL Server Standard Edition, Amazon Aurora MySQL, and Amazon Aurora PostgreSQL. The company does not want to use its own SQL server license and does not want to change from Microsoft SQL Server.
What is the MOST cost-effective and operationally efficient solution?

• A. Run SQL Server Standard Edition on Amazon RDS.
• B. Run Amazon Aurora MySQL leveraging SQL Server on Linux compatibility libraries.
• C. Run SQL Server Enterprise Edition on Amazon RDS.
• D. Run SQL Server Enterprise Edition on Amazon EC2.

Answer: A

Explanation:
This link seems to indicate that more information is required to determine if the Enterprise instance is a candidate for downgrading to Standard. https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/determine-whether-your-microsoft-sql-server-database-can-be-downgraded-from-enterprise-to-standard-edition.html
https://calculator.aws/#/createCalculator/RDSSQLServer

NEW QUESTION 33
A company has a database monitoring solution that uses Amazon CloudWatch for its Amazon RDS for SQL Server environment. The cause of a recent spike in CPU utilization was not determined using the standard metrics that were collected. The CPU spike caused the application to perform poorly, impacting users. A Database Specialist needs to determine what caused the CPU spike.
Which combination of steps should be taken to provide more visibility into the processes and queries running during an increase in CPU load? (Choose two.)

• A. Enable Enhanced Monitoring metrics to view CPU utilization at the RDS SQL Server DB instance level.
• B. Use Amazon QuickSight to view the SQL statement being run.
• C. Enable Amazon CloudWatch Events and view the incoming T-SQL statements causing the CPU to spike.
• D. Enable Amazon RDS Performance Insights to view the database load and filter the load by waits, SQLstatements, hosts, or users.
• E. Implement a caching layer to help with repeated queries on the RDS SQL Server DB instance.

Answer: A,D

NEW QUESTION 34
A company has a heterogeneous six-node production Amazon Aurora DB cluster that handles online transaction processing (OLTP) for the core business and OLAP reports for the human resources department.
To match compute resources to the use case, the company has decided to have the reporting workload for the human resources department be directed to two small nodes in the Aurora DB cluster, while every other workload goes to four large nodes in the same DB cluster.
Which option would ensure that the correct nodes are always available for the appropriate workload while meeting these requirements?

• A. Use custom endpoints to satisfy the different workloads.
• B. Use the writer endpoint for OLTP and the reader endpoint for the OLAP reporting workload.
• C. Create additional readers to cater to the different scenarios.
• D. Use automatic scaling for the Aurora Replica to have the appropriate number of replicas for the desired workload.

Answer: A

Explanation:
Explanation
https://aws.amazon.com/about-aws/whats-new/2018/11/amazon-aurora-simplifies-workload-management-with-c You can now create custom endpoints for Amazon Aurora databases. This allows you to distribute and load balance workloads across different sets of database instances in your Aurora cluster. For example, you may provision a set of Aurora Replicas to use an instance type with higher memory capacity in order to run an analytics workload. A custom endpoint can then help you route the analytics workload to these appropriately-configured instances, while keeping other instances in your cluster isolated from this workload.
As you add or remove instances from the custom endpoint to match your workload, the endpoint helps spread the load around.

NEW QUESTION 35
......

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