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NEW QUESTION 31
A company has an application that uses an Amazon DynamoDB table to store user dat a. 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. Enable auto scaling for the DynamoDB table.
- B. Set the Limit and Offset parameters before every call to the API.
- C. Use four threads and parallel DynamoDB API Scan operations.
- D. Double the table's provisioned RCUs.
NEW QUESTION 32
A database specialist is building a system that uses a static vendor dataset of postal codes and related territory information that is less than 1 GB in size. The dataset is loaded into the application's cache at start up. The company needs to store this data in a way that provides the lowest cost with a low application startup time.
Which approach will meet these requirements?
- A. Use Amazon DynamoDB in on-demand capacity mode.
- B. Use Amazon Aurora Serverless. Allow the service to spin resources up and down, as needed.
- C. Use Amazon S3 and load the data from flat files.
- D. Use an Amazon RDS DB instance. Shut down the instance once the data has been read.
NEW QUESTION 33
An IT consulting company wants to reduce costs when operating its development environment databases. The company's workflow creates multiple Amazon Aurora MySQL DB clusters for each development group. The Aurora DB clusters are only used for 8 hours a day. The DB clusters can then be deleted at the end of the development cycle, which lasts 2 weeks.
Which of the following provides the MOST cost-effective solution?
- A. Use Aurora Replicas. From the master automatic pause compute capacity option, create replicas for each development group, and promote each replica to master. Delete the replicas at the end of the development cycle.
- B. Use the Aurora DB cloning feature. Deploy a single development and test Aurora DB instance, and create clone instances for the development groups. Delete the clones at the end of the development cycle.
- C. Use Aurora Serverless. Restore current Aurora snapshot and deploy to a serverless cluster for each development group. Enable the option to pause the compute capacity on the cluster and set an appropriate timeout.
- D. Use AWS CloudFormation templates. Deploy a stack with the DB cluster for each development group.
Delete the stack at the end of the development cycle.
Aurora Serverless is not compatible to all Aurora provisioned engine version. However, you can do clone with most engine version. Meanwhile, I also consider the performance while restoring snapshot to Aurora Serverless.
NEW QUESTION 34
A large financial services company requires that all data be encrypted in transit. A Developer is attempting to connect to an Amazon RDS DB instance using the company VPC for the first time with credentials provided by a Database Specialist. Other members of the Development team can connect, but this user is consistently receiving an error indicating a communications link failure. The Developer asked the Database Specialist to reset the password a number of times, but the error persists.
Which step should be taken to troubleshoot this issue?
- A. Ensure that the RDS DB instance has not reached its maximum connections limit
- B. Ensure that the connection is using SSL and is addressing the port where the RDS DB instance is listeningfor encrypted connections
- C. Ensure that the database option group for the RDS DB instance allows ingress from the Developermachine's IP address
- D. Ensure that the RDS DB instance's subnet group includes a public subnet to allow the Developer toconnect
NEW QUESTION 35
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