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  1. Home
  2. ACAMS Certification
  3. CAMS Exam
  4. ACAMS.CAMS.v2022-06-11.q284 Dumps
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Question 121

The compliance officer at a crowdfunding website is in charge of monitoring new crowdfunding projects. Recently, the number of crowdfunding projects has significantly increased.
Which red flag indicates the highest anti-money laundering risk?

Correct Answer: A
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Question 122

When a regulatory body requires international assistance in a money laundering inquiry, such assistance is typically obtained by

Correct Answer: C
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Question 123

The branch manager calls the compliance officer and informs her that a law enforcement officer has just left the branch and was asking a lot of questions and left a business card.
What should the compliance officer do?

Correct Answer: C
Explanation
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Question 124

A financial institution is reorganizing and the anti-money laundering officer is now required to report to the Sales Director. Which of the following statements about this situation is most correct?

Correct Answer: D
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Question 125

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have Azure IoT Edge devices that generate streaming data.
On the devices, you need to detect anomalies in the data by using Azure Machine Learning models. Once an anomaly is detected, the devices must add information about the anomaly to the Azure IoT Hub stream.
Solution: You deploy Azure Functions as an IoT Edge module.
Does this meet the goal?

Correct Answer: B
Instead use Azure Stream Analytics and REST API.
Note. Available in both the cloud and Azure IoT Edge, Azure Stream Analytics offers built-in machine learning based anomaly detection capabilities that can be used to monitor the two most commonly occurring anomalies:
temporary and persistent.
Stream Analytics supports user-defined functions, via REST API, that call out to Azure Machine Learning endpoints.
References:
https://docs.microsoft.com/en-us/azure/stream-analytics/stream-analytics-machine-learning-anomaly-detection
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