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NEW QUESTION 40
Amazon Neptune is being used by a corporation as the graph database for one of its products. During an ETL procedure, the company's data science team produced enormous volumes of temporary data by unintentionally. The Neptune DB cluster extended its storage capacity automatically to handle the added data, but the data science team erased the superfluous data.
What should a database professional do to prevent incurring extra expenditures for cluster volume space that is not being used?

A. Take a snapshot of the cluster volume. Restore the snapshot in another cluster with a smaller volume size.B. Add a Neptune read replica to the cluster. Promote this replica as a new primary DB instance. Reset the storage space of the cluster.C. Use the AWS CLI to turn on automatic resizing of the cluster volume.D. Export the cluster data into a new Neptune DB cluster.

Answer: D

Explanation:
Explanation
The only way to shrink the storage space used by your DB cluster when you have a large amount of unused allocated space is to export all the data in your graph and then reload it into a new DB cluster. Creating and restoring a snapshot does not reduce the amount of storage allocated for your DB cluster, because a snapshot retains the original image of the cluster's underlying storage.

 

NEW QUESTION 41
A company is using a Single-AZ Amazon RDS for MySQL DB instance for development. The DB instance is experiencing slow performance when queries are executed. Amazon CloudWatch metrics indicate that the instance requires more I/O capacity.
Which actions can a database specialist perform to resolve this issue? (Choose two.)

A. Restart the application tool used to execute queries.B. Convert from Single-AZ to Multi-AZ.C. Convert from General Purpose to Provisioned IOPS (PIOPS).D. Increase the I/O parameter in Amazon RDS Enhanced Monitoring.E. Change to a database instance class with higher throughput.

Answer: C,E

Explanation:
Explanation
https://aws.amazon.com/blogs/database/best-storage-practices-for-running-production-workloads-on-hosted-data
"If you find the pattern of IOPS usage consistently going beyond more than 16,000, you should modify the DB instance and change the storage type from gp2 to io1.

 

NEW QUESTION 42
A company runs hundreds of Microsoft SQL Server databases on Windows servers in its on-premises data center. A database specialist needs to migrate these databases to Linux on AWS.
Which combination of steps should the database specialist take to meet this requirement? (Choose three.)

A. On the Amazon EC2 console, launch EC2 instances and select a Linux AMI that includes SQL Server. Install and configure AWS Systems Manager Agent on the EC2 instances.B. Open the Windows to Linux replatforming assistant tool. Enter configuration details of the source and destination databases. Start migration.C. On the AWS Management Console, set up AWS Database Migration Service (AWS DMS) by entering details of the source SQL Server database and the destination SQL Server database on AWS. Start migration.D. On the AWS Management Console, set up Amazon RDS for SQL Server DB instances with Linux as the operating system. Install AWS Systems Manager Agent on the DB instances by using an options group.E. Use AWS Systems Manager Run Command to install and configure the AWS Schema Conversion Tool on the on-premises servers.F. Install AWS Systems Manager Agent on the on-premises servers. Use Systems Manager Run Command to install the Windows to Linux replatforming assistant for Microsoft SQL Server Databases.

Answer: A,B,F

Explanation:
https://docs.aws.amazon.com/AWSEC2/latest/WindowsGuide/replatform-sql-server.html
https://d1.awsstatic.com/events/reinvent/2019/REPEAT_1_Leverage_automation_to_re-platform_SQL_Server_to_Linux_WIN322-R1.pdf

 

NEW QUESTION 43
A company is running its customer feedback application on Amazon Aurora MySQL. The company runs a report every day to extract customer feedback, and a team reads the feedback to determine if the customer comments are positive or negative. It sometimes takes days before the company can contact unhappy customers and take corrective measures. The company wants to use machine learning to automate this workflow.
Which solution meets this requirement with the LEAST amount of effort?

A. Set up Aurora native integration with Amazon SageMaker. Use SQL functions to extract sentiment analysis.B. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon SageMaker to run sentiment analysis on the exported files.C. Export the Aurora MySQL database to Amazon S3 by using AWS Database Migration Service (AWS DMS). Use Amazon Comprehend to run sentiment analysis on the exported files.D. Set up Aurora native integration with Amazon Comprehend. Use SQL functions to extract sentiment analysis.

Answer: D

Explanation:
Explanation
For details about using Aurora and Amazon Comprehend together, see Using Amazon Comprehend for sentiment detection. Aurora machine learning uses a highly optimized integration between the Aurora database and the AWS machine learning (ML) services SageMaker and Amazon Comprehend.
https://www.stackovercloud.com/2019/11/27/new-for-amazon-aurora-use-machine-learning-directly-from-your-d

 

NEW QUESTION 44
An ecommerce company uses Amazon DynamoDB as the backend for its payments system. A new regulation requires the company to log all data access requests for financial audits. For this purpose, the company plans to use AWS logging and save logs to Amazon S3 How can a database specialist activate logging on the database?

A. Create two trails in AWS CloudTrail. Use Trail1 to monitor DynamoDB control-plane operations. Use Trail2 to monitor DynamoDB data-plane operations.B. Use AWS CloudTrail to monitor DynamoDB data-plane and control-plane operations.C. Use AWS CloudTrail to monitor DynamoDB control-plane operations. Create a DynamoDB stream to monitor data-plane operations. Pass the stream to Amazon Kinesis Data Streams. Use that stream as a source for Amazon Kinesis Data Firehose to store the data in an Amazon S3 bucket.D. Use AWS CloudTrail to monitor DynamoDB data-plane operations. Create a DynamoDB stream to monitor control-plane operations. Pass the stream to Amazon Kinesis Data Streams. Use that stream as a source for Amazon Kinesis Data Firehose to store the data in an Amazon S3 bucket.

Answer: B

Explanation:
https://aws.amazon.com/about-aws/whats-new/2021/04/you-now-can-use-aws-cloudtrail-to-log-amazon-dynamodb-streams-da/

 

NEW QUESTION 45
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