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Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q101-Q106):

NEW QUESTION # 101
An information management services company is storing JSON documents on premises. The company is using a MongoDB 3.6 database but wants to migrate to AWS. The solution must be compatible, scalable, and fully managed. The solution also must result in as little downtime as possible during the migration.
Which solution meets these requirements?

  • A. Use the mongodump and mongorestore tools to migrate the data from the source MongoDB deployment to a MongoDB image that is hosted on Amazon EC2.
  • B. Create an AWS Database Migration Service (AWS DMS) replication instance, a source endpoint for MongoDB, and a target endpoint of a MongoDB image that is hosted on Amazon EC2
  • C. Use the mongodump and mongorestore tools to migrate the data from the source MongoDB deployment to Amazon DocumentDB (with MongoDB compatibility).
  • D. Create an AWS Database Migration Service (AWS DMS) replication instance, a source endpoint for MongoDB, and a target endpoint of Amazon DocumentDB (with MongoDB compatibility).

Answer: D Explanation:
https://docs.aws.amazon.com/documentdb/latest/developerguide/docdb-migration.html#docdb-migration-approaches
NEW QUESTION # 102
A Database Specialist has migrated an on-premises Oracle database to Amazon Aurora PostgreSQL. The schema and the data have been migrated successfully. The on-premises database server was also being used to run database maintenance cron jobs written in Python to perform tasks including data purging and generating data exports. The logs for these jobs show that, most of the time, the jobs completed within 5 minutes, but a few jobs took up to 10 minutes to complete. These maintenance jobs need to be set up for Aurora PostgreSQL.
How can the Database Specialist schedule these jobs so the setup requires minimal maintenance and provides high availability?

  • A. Create cron jobs on an Amazon EC2 instance to run the maintenance jobs following the required schedule.
  • B. Create the maintenance job using the Amazon CloudWatch job scheduling plugin.
  • C. Connect to the Aurora host and create cron jobs to run the maintenance jobs following the required schedule.
  • D. Create AWS Lambda functions to run the maintenance jobs and schedule them with Amazon CloudWatch Events.

Answer: D Explanation:
Explanation
https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/Create-CloudWatch-Events-Scheduled-Rule.htm
https://docs.aws.amazon.com/prescriptive-guidance/latest/patterns/schedule-jobs-for-amazon-rds-and-aurora-pos a job for data extraction or a job for data purging can easily be scheduled using cron. For these jobs, database credentials are typically either hard-coded or stored in a properties file. However, when you migrate to Amazon Relational Database Service (Amazon RDS) or Amazon Aurora PostgreSQL, you lose the ability to log in to the host instance to schedule cron jobs. This pattern describes how to use AWS Lambda and AWS Secrets Manager to schedule jobs for Amazon RDS and Aurora PostgreSQL databases after migration.
https://docs.aws.amazon.com/AmazonCloudWatch/latest/events/RunLambdaSchedule.html
NEW QUESTION # 103
A database specialist manages a critical Amazon RDS for MySQL DB instance for a company. The data stored daily could vary from .01% to 10% of the current database size. The database specialist needs to ensure that the DB instance storage grows as needed.
What is the MOST operationally efficient and cost-effective solution?

  • A. Configure RDS Storage Auto Scaling.
  • B. Modify the DB instance allocated storage to meet the forecasted requirements.
  • C. Monitor the Amazon CloudWatch FreeStorageSpace metric daily and add storage as required.
  • D. Configure RDS instance Auto Scaling.

Answer: A Explanation:
Explanation
If your workload is unpredictable, you can enable storage autoscaling for an Amazon RDS DB instance. With storage autoscaling enabled, when Amazon RDS detects that you are running out of free database space it automatically scales up your storage.
https://aws.amazon.com/about-aws/whats-new/2019/06/rds-storage-auto-scaling/
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USERPIOPS.StorageTypes.html#USERPIOPS.A
NEW QUESTION # 104
A company is running a website on Amazon EC2 instances deployed in multiple Availability Zones (AZs). The site performs a high number of repetitive reads and writes each second on an Amazon RDS for MySQL Multi- AZ DB instance with General Purpose SSD (gp2) storage. After comprehensive testing and analysis, a database specialist discovers that there is high read latency and high CPU utilization on the DB instance.
Which approach should the database specialist to take to resolve this issue without changing the application?

  • A. Modify the RDS for MySQL database class to a bigger size and implement Provisioned IOPS (PIOPS).
  • B. Implementing sharding to distribute the load to multiple RDS for MySQL databases.
  • C. Use the same RDS for MySQL instance class with Provisioned IOPS (PIOPS) storage.
  • D. Add an RDS for MySQL read replica.

Answer: A
NEW QUESTION # 105
Recently, a gaming firm purchased a popular iOS game that is especially popular during the Christmas season.
The business has opted to include a leaderboard into the game, which will be powered by Amazon DynamoDB. The application's load is likely to increase significantly throughout the Christmas season.
Which solution satisfies these criteria at the lowest possible cost?

  • A. DynamoDB with DynamoDB Accelerator
  • B. DynamoDB with on-demand capacity mode
  • C. DynamoDB with provisioned capacity mode with Auto Scaling
  • D. DynamoDB Streams

Answer: C Explanation:
Explanation
"On-demand is ideal for bursty, new, or unpredictable workloads whose traffic can spike in seconds or minutes" vs.
'DynamoDB released auto scaling to make it easier for you to manage capacity efficiently, and auto scaling continues to help DynamoDB users lower the cost of workloads that have a predictable traffic pattern."
https://aws.amazon.com/blogs/database/amazon-dynamodb-auto-scaling-performance-and-cost-optimization-at-a
NEW QUESTION # 106
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