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Free DBS-C01 Exam Braindumps (page: 34)

Page 34 of 82
PDF with 327 Questions

A company has an application that uses an Amazon DynamoDB table to store user data. 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?

  1. Enable auto scaling for the DynamoDB table.
  2. Use four threads and parallel DynamoDB API Scan operations.
  3. Double the table’s provisioned RCUs.
  4. Set the Limit and Offset parameters before every call to the API.

Answer(s): B



A company is building a software as a service application. As part of the new user sign-on workflow, a Python script invokes the CreateTable operation using the Amazon DynamoDB API. After the call returns, the script attempts to call PutItem.

Occasionally, the PutItem request fails with a ResourceNotFoundException error, which causes the workflow to fail. The development team has confirmed that the same table name is used in the two API calls.

How should a database specialist fix this issue?

  1. Add an allow statement for the dynamodb:PutItem action in a policy attached to the role used by the application creating the table.
  2. Set the StreamEnabled property of the StreamSpecification parameter to true, then call PutItem.
  3. Change the application to call DescribeTable periodically until the TableStatus is ACTIVE, then call PutItem.
  4. Add a ConditionExpression parameter in the PutItem request.

Answer(s): C


Reference:

https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_PutItem.html



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?

  1. 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.
  2. 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).
  3. 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).
  4. 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.

Answer(s): B



A company developed a new application that is deployed on Amazon EC2 instances behind an Application Load Balancer. The EC2 instances use the security group named sg-application-servers. The company needs a database to store the data from the application and decides to use an Amazon RDS for MySQL DB instance. The DB instance is deployed in private DB subnet.

What is the MOST restrictive configuration for the DB instance security group?

  1. Only allow incoming traffic from the sg-application-servers security group on port 3306.
  2. Only allow incoming traffic from the sg-application-servers security group on port 443.
  3. Only allow incoming traffic from the subnet of the application servers on port 3306.
  4. Only allow incoming traffic from the subnet of the application servers on port 443.

Answer(s): A



Page 34 of 82



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