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NEW QUESTION 41
A Database Specialist is designing a disaster recovery strategy for a production Amazon DynamoDB table. The table uses provisioned read/write capacity mode, global secondary indexes, and time to live (TTL). The Database Specialist has restored the latest backup to a new table.
To prepare the new table with identical settings, which steps should be performed? (Choose two.)
- A. Define IAM policies for access to the new table
- B. Set the provisioned read and write capacity
- C. Encrypt the table from the AWS Management Console or use the update-table command
- D. Re-create global secondary indexes in the new table
- E. Define the TTL settings
Answer: B,D
NEW QUESTION 42
A financial services company has an application deployed on AWS that uses an Amazon Aurora PostgreSQL DB cluster. A recent audit showed that no log files contained database administrator activity. A database specialist needs to recommend a solution to provide database access and activity logs. The solution should use the least amount of effort and have a minimal impact on performance.
Which solution should the database specialist recommend?
- A. Create an AWS CloudTrail trail in the Region where the database runs. Associate the database activity logs with the trail.
- B. Allow connections to the DB cluster through a bastion host only. Restrict database access to the bastion host and application servers. Push the bastion host logs to Amazon CloudWatch Logs using the CloudWatch Logs agent.
- C. Enable Aurora Database Activity Streams on the database in asynchronous mode. Connect the Amazon Kinesis data stream to Kinesis Data Firehose. Set the Firehose destination to an Amazon S3 bucket.
- D. Enable Aurora Database Activity Streams on the database in synchronous mode. Connect the Amazon Kinesis data stream to Kinesis Data Firehose. Set the Kinesis Data Firehose destination to an Amazon S3 bucket.
Answer: C
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/DBActivityStreams.Overview.html
NEW QUESTION 43
Developers have requested a new Amazon Redshift cluster so they can load new third-party marketing data.
The new cluster is ready and the user credentials are given to the developers. The developers indicate that their copy jobs fail with the following error message:
“Amazon Invalid operation: S3ServiceException:Access Denied,Status 403,Error AccessDenied.” The developers need to load this data soon, so a database specialist must act quickly to solve this issue.
What is the MOST secure solution?
- A. Create a new IAM role with read-only access to the Amazon S3 bucket with the assume role action. Add this role to the developer IAM user ID used for the copy job that ended with an error message.
- B. Create a new IAM user with access keys and a new role with read-only access to the Amazon S3 bucket.Add this role to the Amazon Redshift cluster. Change the copy job to use the access keys created.
- C. Create a new IAM role with read-only access to the Amazon S3 bucket and include the assume role action. Modify the Amazon Redshift cluster to add the IAM role.
- D. Create a new IAM role with the same user name as the Amazon Redshift developer user ID. Provide the IAM role with read-only access to Amazon S3 with the assume role action.
Answer: C
Explanation:
Explanation
https://docs.aws.amazon.com/redshift/latest/gsg/rs-gsg-create-an-iam-role.html
“Now that you have created the new role, your next step is to attach it to your cluster. You can attach the role when you launch a new cluster or you can attach it to an existing cluster. In the next step, you attach the role to a new cluster.”
https://docs.aws.amazon.com/redshift/latest/dg/copy-usage_notes-access-permissions.html
NEW QUESTION 44
To meet new data compliance requirements, a company needs to keep critical data durably stored and readily accessible for 7 years. Data that is more than 1 year old is considered archival data and must automatically be moved out of the Amazon Aurora MySQL DB cluster every week. On average, around 10 GB of new data is added to the database every month. A database specialist must choose the most operationally efficient solution to migrate the archival data to Amazon S3.
Which solution meets these requirements?
- A. Create a custom script that exports archival data from the DB cluster to Amazon S3 using a SQL view, then deletes the archival data from the DB cluster. Launch an Amazon EC2 instance with a weekly cron job to execute the custom script.
- B. Use AWS Database Migration Service (AWS DMS) to continually export the archival data from the DB cluster to Amazon S3. Configure an AWS Data Pipeline process to run weekly that executes a custom SQL script to delete the archival data from the DB cluster.
- C. Configure two AWS Lambda functions: one that exports archival data from the DB cluster to Amazon S3 using the mysqldump utility, and another that deletes the archival data from the DB cluster. Schedule both Lambda functions to run weekly using Amazon EventBridge (Amazon CloudWatch Events).
- D. Configure an AWS Lambda function that exports archival data from the DB cluster to Amazon S3 using a SELECT INTO OUTFILE S3 statement, then deletes the archival data from the DB cluster. Schedule the Lambda function to run weekly using Amazon EventBridge (Amazon CloudWatch Events).
Answer: D
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Integrating.SaveIntoS3.html
NEW QUESTION 45
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