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NEW QUESTION 23
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. Set the Limit and Offset parameters before every call to the API.
  • B. Use four threads and parallel DynamoDB API Scan operations.
  • C. Enable auto scaling for the DynamoDB table.
  • D. Double the table's provisioned RCUs.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Scan.html#Scan.ParallelScan

 

NEW QUESTION 24
A company's applications store data in Amazon Aurora MySQL DB clusters. The company has separate AWS accounts for its production, test, and development environments. To test new functionality in the test environment, the company's development team requires a copy of the production database four times a day.
Which solution meets this requirement with the MOST operational efficiency?

  • A. Share the Aurora DB cluster with the test account. Create a snapshot of the production database in the test account. Restore the database from the snapshot.
  • B. Share the Aurora DB cluster with the test account. Create a clone of the production database in the test account.
  • C. Take a manual snapshot in the production account. Share the snapshot with the test account. Restore the database from the snapshot.
  • D. Take a manual snapshot in the production account. Export the snapshot to Amazon S3. Copy the snapshot to an S3 bucket in the test account. Restore the database from the snapshot.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Clone.html
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Aurora.Managing.Clone.html#Aurora.Managing.Clone.Cross-Account

 

NEW QUESTION 25
A marketing company is using Amazon DocumentDB and requires that database audit logs be enabled. A Database Specialist needs to configure monitoring so that all data definition language (DDL) statements performed are visible to the Administrator. The Database Specialist has set the audit_logs parameter to enabled in the cluster parameter group.
What should the Database Specialist do to automatically collect the database logs for the Administrator?

  • A. Enable DocumentDB to export the logs to Amazon CloudWatch Logs
  • B. Enable DocumentDB Events to export the logs to Amazon CloudWatch Logs
  • C. Enable DocumentDB to export the logs to AWS CloudTrail
  • D. Configure an AWS Lambda function to download the logs using the download-db-log-file-portion operation and store the logs in Amazon S3

Answer: B

Explanation:
https://docs.aws.amazon.com/documentdb/latest/developerguide/event-auditing.html Auditing Amazon DocumentDB Events PDF Kindle RSS With Amazon DocumentDB (with MongoDB compatibility), you can audit events that were performed in your cluster. Examples of logged events include successful and failed authentication attempts, dropping a collection in a database, or creating an index. By default, auditing is disabled on Amazon DocumentDB and requires that you opt in to use this feature.
When auditing is enabled, Amazon DocumentDB records Data Definition Language (DDL), authentication, authorization, and user management events to Amazon CloudWatch Logs. When auditing is enabled, Amazon DocumentDB exports your cluster's auditing records (JSON documents) to Amazon CloudWatch Logs. You can use Amazon CloudWatch Logs to analyze, monitor, and archive your Amazon DocumentDB auditing events.

 

NEW QUESTION 26
A Database Specialist must create a read replica to isolate read-only queries for an Amazon RDS for MySQLDB instance. Immediately after creating the read replica, users that query it report slow response times.
What could be causing these slow response times?

  • A. New volumes created from snapshots load lazily in the background
  • B. Insufficient resources on the master
  • C. Overload of a single replication thread by excessive writes on the master
  • D. Long-running statements on the master

Answer: D

 

NEW QUESTION 27
A company is using an Amazon Aurora MySQL database with Performance Insights enabled.
A database specialist is checking Performance Insights and observes an alert message that starts with the following phrase:
'Performance Insights is unable to collect SQL Digest statistics on new queries'.
Which action will resolve this alert message?

  • A. Set the value for the performance_schema parameter in the parameter group to 1.
  • B. Change the AWS Key Management Service (AWS KMS) key that is used to enable Performance Insights.
  • C. Truncate the events_statements_summary_by_digest table.
  • D. Disable and reenable Performance Insights to be effective in the next maintenance window.

Answer: C

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_PerfInsights.UsingDashboard.AnalyzeDBLoad.AdditionalMetrics.MySQL.html

 

NEW QUESTION 28
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