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Understanding functional and technical aspects of AWS Certified Database - Specialty Management and Operations

The following will be discussed in AMAZON DBS-C01 exam dumps:

  • Determine backup and restore strategies
  • Manage the operational environment of a database solution
  • Determine maintenance tasks and processes

Below are the requirements of AWS Certified Database Specialty Exam

There is no prerequisites for AWS Certified Database - Specialty exam.

Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q89-Q94):

NEW QUESTION # 89
Recently, a financial institution created a portfolio management service. The application's backend is powered by Amazon Aurora, which supports MySQL.
The firm demands a response time of five minutes and a response time of five minutes. A database professional must create a disaster recovery system that is both efficient and has a low replication latency.
How should the database professional tackle these requirements?

  • A. Configure a binlog and create a replica in a different AWS Region.
  • B. Configure a cross-Region read replica.
  • C. Configure an Amazon Aurora global database and add a different AWS Region.
  • D. Configure AWS Database Migration Service (AWS DMS) and create a replica in a different AWS Region.

Answer: C Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-global-database-disaster-recovery.html
https://aws.amazon.com/blogs/database/how-to-choose-the-best-disaster-recovery-option-for-your-amazon-aurora-mysql-cluster/
https://aws.amazon.com/about-aws/whats-new/2019/11/aurora-supports-in-place-conversion-to-global-database/
NEW QUESTION # 90
A company is using an Amazon RDS for MySQL DB instance for its internal applications. A security audit shows that the DB instance is not encrypted at rest. The company's application team needs to encrypt the DB instance.
What should the team do to meet this requirement?

  • A. Stop the DB instance and create a snapshot. Copy the snapshot into another encrypted snapshot. Restore the encrypted snapshot to a new encrypted DB instance. Delete the original DB instance, and update the applications to point to the new encrypted DB instance.
  • B. Stop the DB instance and create an encrypted snapshot. Restore the encrypted snapshot to a new encrypted DB instance. Delete the original DB instance, and update the applications to point to the new encrypted DB instance.
  • C. Create an encrypted read replica of the DB instance. Promote the read replica to master. Delete the original DB instance, and update the applications to point to the new encrypted DB instance.
  • D. Stop the DB instance and modify it to enable encryption. Apply this setting immediately without waiting for the next scheduled RDS maintenance window.

Answer: A
NEW QUESTION # 91
A company maintains several databases using Amazon RDS for MySQL and PostgreSQL. Each RDS database generates log files with retention periods set to their default values. The company has now mandated that database logs be maintained for up to 90 days in a centralized repository to facilitate real-time and after- the-fact analyses.
What should a Database Specialist do to meet these requirements with minimal effort?

  • A. Create an AWS Lambda function to pull logs from the RDS databases and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.
  • B. Write a stored procedure in each RDS database to download the logs and consolidate the log files in an Amazon S3 bucket. Set a lifecycle policy to expire the objects after 90 days.
  • C. Create an AWS Lambda function to download the logs from the RDS databases and publish the logs to Amazon CloudWatch Logs. Change the log retention policy for the log group to expire the events after
    90 days.
  • D. Modify the RDS databases to publish log to Amazon CloudWatch Logs. Change the log retention policy for each log group to expire the events after 90 days.

Answer: D Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USERLogAccess.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER
LogAccess.Procedural.UploadtoCloudWatc
https://aws.amazon.com/premiumsupport/knowledge-center/rds-aurora-mysql-logs-cloudwatch/
https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_PutRetentionPolicy.html
NEW QUESTION # 92
A database expert is responsible for building a highly available online transaction processing (OLTP) solution that makes use of Amazon RDS for MySQL production databases. Disaster recovery criteria include a cross-regional deployment and an RPO and RTO of 5 and 30 minutes, respectively.
What should the database professional do to ensure that the database meets the criteria for high availability and disaster recovery?

  • A. Use a Multi-AZ deployment in each Region.
  • B. Use Multi-AZ and deploy a read replica in a secondary Region.
  • C. Use read replica deployments in all Availability Zones of the secondary Region.
  • D. Use Multi-AZ and read replica deployments within a Region.

Answer: B
NEW QUESTION # 93
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. Implement a caching layer to help with repeated queries on the RDS SQL Server DB instance.
  • C. Enable Amazon CloudWatch Events and view the incoming T-SQL statements causing the CPU to spike.
  • D. Use Amazon QuickSight to view the SQL statement being run.
  • E. Enable Amazon RDS Performance Insights to view the database load and filter the load by waits, SQL statements, hosts, or users.

Answer: A,E Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/rds-instance-high-cpu/ "Several factors can cause an increase in CPU utilization. For example, user-initiated heavy workloads, analytic queries, prolonged deadlocks and lock waits, multiple concurrent transactions, long-running transactions, or other processes that utilize CPU resources. First, you can identify the source of the CPU usage by: Using Enhanced Monitoring Using Performance Insights"
NEW QUESTION # 94
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