A Database Specialist needs to define a database migration strategy to migrate an on-premises Oracle database to an Amazon Aurora MySQL DB cluster. The company requires near-zero downtime for the data migration.
The solution must also be cost-effective.
Which approach should the Database Specialist take?

• A.Use AWS Server Migration Service (AWS SMS) to import the Oracle virtual machine image as an AmazonEC2 instance. Use the Oracle Logical Dump utility to migrate the Oracle data from Amazon EC2 to anAurora DB cluster.
• B.Dump all the tables from the Oracle database into an Amazon S3 bucket using datapump (expdp).
  Rundata transformations in AWS Glue. Load the data from the S3 bucket to the Aurora DB cluster.
• C.Use the AWS Schema Conversion Tool (AWS SCT) to help rewrite database objects to MySQL during theschema migration. Use AWS DMS to perform the full load and change data capture (CDC) tasks.
• D.Order an AWS Snowball appliance and copy the Oracle backup to the Snowball appliance. Once theSnowball data is delivered to Amazon S3, create a new Aurora DB cluster. Enable the S3 integration tomigrate the data directly from Amazon S3 to Amazon RDS.

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A retail company manages a web application that stores data in an Amazon DynamoDB table. The company is undergoing account consolidation efforts. A database engineer needs to migrate the DynamoDB table from the current AWS account to a new AWS account.
Which strategy meets these requirements with the LEAST amount of administrative work?

• A.Use AWS Data Pipeline in the current account to export the data from the DynamoDB table to a file in Amazon S3. Use Data Pipeline to import the data from the S3 file to a DynamoDB table in the new account.
• B.Configure Amazon DynamoDB Streams for the DynamoDB table in the current account. Create an AWS Lambda function to read from the stream and write to a file in Amazon S3. Create another Lambda function to read the S3 file and restore the items to a DynamoDB table in the new account.
• C.Use AWS Glue to crawl the data in the DynamoDB table. Create a job using an available blueprint to export the data to Amazon S3. Import the data from the S3 file to a DynamoDB table in the new account.
• D.Create an AWS Lambda function to scan the items of the DynamoDB table in the current account and write to a file in Amazon S3. Create another Lambda function to read the S3 file and restore the items of a DynamoDB table in the new account.

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An AWS CloudFormation stack that included an Amazon RDS DB instance was accidentally deleted and recent data was lost. A Database Specialist needs to add RDS settings to the CloudFormation template to reduce the chance of accidental instance data loss in the future.
Which settings will meet this requirement? (Choose three.)

• A.Set DeletionProtection to True
• B.Set MultiAZ to True
• C.Set TerminationProtection to True
• D.Set DeleteAutomatedBackups to False
• E.Set DeletionPolicy to Delete
• F.Set DeletionPolicy to Retain

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

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A company is moving its fraud detection application from on premises to the AWS Cloud and is using Amazon Neptune for data storage. The company has set up a 1 Gbps AWS Direct Connect connection to migrate 25 TB of fraud detection data from the on-premises data center to a Neptune DB instance. The company already has an Amazon S3 bucket and an S3 VPC endpoint, and 80% of the company's network bandwidth is available.
How should the company perform this data load?

• A.Use an AWS SDK with a multipart upload to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
• B.Use AWS DataSync to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
• C.Use AWS Database Migration Service (AWS DMS) to transfer the data from on premises to the S3 bucket. Use the Loader command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.
• D.Use the AWS CLI to transfer the data from on premises to the S3 bucket. Use the Copy command for Neptune to move the data in bulk from the S3 bucket to the Neptune DB instance.

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