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NEW QUESTION 26
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. 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.
- D. 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.
Answer: C
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_LogAccess.Procedural.UploadtoCloudWatch.htm
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 27
A company uses Amazon Aurora for secure financial transactions. The data must always be encrypted at rest and in transit to meet compliance requirements.
Which combination of actions should a database specialist take to meet these requirements? (Choose two.)
- A. Use SSL/TLS to secure the in-transit connection between the financial application and the Aurora DB cluster.
- B. Use AWS Key Management Service (AWS KMS) to secure the in-transit connection between the financial application and the Aurora DB cluster.
- C. Modify the existing Aurora DB cluster and enable encryption using an AWS Key Management Service (AWS KMS) encryption key. Apply the changes immediately.
- D. Take a snapshot of the Aurora DB cluster and encrypt the snapshot using an AWS Key Management Service (AWS KMS) encryption key. Restore the snapshot to a new DB cluster and update the financial application database endpoints.
- E. Create an Aurora Replica with encryption enabled using AWS Key Management Service (AWS KMS).
Then promote the replica to master.
Answer: A,E
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-replicas-adding.html
NEW QUESTION 28
A company recently acquired a new business. A database specialist must migrate an unencrypted 12 TB Amazon RDS for MySQL DB instance to a new AWS account. The database specialist needs to minimize the amount of time required to migrate the database.
Which solution meets these requirements?
- A. Create a snapshot of the source DB instance in the source account. Share the snapshot with the destination account. In the target account, create a DB instance from the snapshot.
- B. Create a read replica of the DB instance. Give the destination account access to the read replica. In the destination account, create a snapshot of the shared read replica and provision a new RDS for MySQL DB instance.
- C. Use AWS Resource Access Manager to share the source DB instance with the destination account. Create a DB instance in the destination account using the shared resource.
- D. Use mysqldump to back up the source database. Create an RDS for MySQL DB instance in the destination account. Use the mysql command to restore the backup in the destination database.
Answer: A
NEW QUESTION 29
A company migrated one of its business-critical database workloads to an Amazon Aurora Multi-AZ DB cluster. The company requires a very low RTO and needs to improve the application recovery time after database failovers.
Which approach meets these requirements?
- A. Create an Amazon RDS Proxy database proxy and update client connections to point to the proxy endpoint.
- B. Set the max_connections parameter to 16,000 in the instance-level parameter group.
- C. Enable the query cache at the instance level.
- D. Modify the client connection timeout to 300 seconds.
Answer: A
Explanation:
Explanation
Amazon RDS Proxy allows applications to pool and share connections established with the database, improving database efficiency and application scalability. With RDS Proxy, failover times for Aurora and RDS databases are reduced by up to 66% and database credentials, authentication, and access can be managed through integration with AWS Secrets Manager and AWS Identity and Access Management (IAM).
https://aws.amazon.com/rds/proxy/
NEW QUESTION 30
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