A company’s Amazon Connect agents are receiving many automated spam calls. Agents must be able to mark a caller as spam so that the caller’s number is automatically blocked from reaching an agent in the future. Which solution is the MOST operationally efficient to implement?
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Correct answer: Add a “flag call” button to the Contact Control Panel (CCP) that calls an AWS Lambda function which uses the UpdateContactAttributes API. Store spam numbers in an Amazon DynamoDB table. Update contact flows to check the contact attribute and use a Lambda function to read/write the DynamoDB table..
Why this is the answer
The correct solution is the most operationally efficient because it directly integrates the spam reporting mechanism into the agent's existing workflow via the CCP. The "flag call" button triggers a Lambda function to update contact attributes, which can then be used to store the spam number in DynamoDB. Subsequent calls from that number can be blocked by checking the DynamoDB table within the contact flow using another Lambda function. The incorrect option involving Contact Lens is less efficient because Contact Lens is primarily for post-call analytics and real-time sentiment analysis, not for immediate agent-initiated blocking. The option with a quick connect requires an extra transfer step for the agent, adding friction. The option modifying the initial contact flow to request caller input is not agent-initiated and relies on caller behavior, which is not a reliable method for agents to mark spam.
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