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SAP-C02 – AWS Certified Solutions Architect - Professional

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Showing 19–20 of 20 questions

Question 19 (Exam Pool A)

A company stores sales transaction data in Amazon DynamoDB tables. To detect anomalous behaviors and respond quickly, all changes lo the items stored in the DynamoDB tables must be logged within 30 minutes.

Which solution meets the requirements?

Select an option, then click Submit answer.

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    Copy the DynamoDB tables into Apache Hive tables on Amazon EMR every hour and analyze them (or anomalous behaviors. Send Amazon SNS notifications when anomalous behaviors are detected.
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    Use AWS CloudTrail to capture all the APIs that change the DynamoDB tables. Send SNS notifications when anomalous behaviors are detected using CloudTrail event filtering.
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    Use Amazon DynamoDB Streams to capture and send updates to AWS Lambda. Create a Lambda function to output records lo Amazon Kinesis Data Streams. Analyze any anomalies with Amazon Kinesis Data Analytics. Send SNS notifications when anomalous behaviors are detected.
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    Use event patterns in Amazon CloudWatch Events to capture DynamoDB API call events with an AWS Lambda (unction as a target to analyze behavior. Send SNS notifications when anomalous behaviors are detected.
Question 20 (Exam Pool B)

A company recently deployed an application on AWS. The application uses Amazon DynamoDB. The company measured the application load and configured the RCUs and WCUs on the DynamoDB table to match the expected peak load. The peak load occurs once a week for a 4-hour period and is double the average load. The application load is close to the average load tor the rest of the week. The access pattern includes many more writes to the table than reads of the table.

A solutions architect needs to implement a solution to minimize the cost of the table.

Which solution will meet these requirements?

Select an option, then click Submit answer.

  • ○

    Use AWS Application Auto Scaling to increase capacity during the peak period. Purchase reserved RCUs and WCUs to match the average load.
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    Configure on-demand capacity mode for the table.
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    Configure DynamoDB Accelerator (DAX) in front of the table. Reduce the provisioned read capacity to match the new peak load on the table.
  • ○

    Configure DynamoDB Accelerator (DAX) in front of the table. Configure on-demand capacity mode for the table.