AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 195

An ML engineer is using Amazon QuickSight anomaly detection to detect very high or very low machine operating temperatures compared to normal. The ML engineer sets the Severity parameter to Low and above. The ML engineer sets the Direction parameter to All.

What effect will the ML engineer observe in the anomaly detection results if the ML engineer changes the Direction parameter to Lower than expected?

Answer options

• A. Increased anomaly identification frequency and increased recall
• B. Decreased anomaly identification frequency and decreased recall
• C. Increased anomaly identification frequency and decreased recall
• D. Decreased anomaly identification frequency and increased recall

Correct answer: B

Explanation

Changing the Direction parameter to Lower than expected narrows the focus of the anomaly detection, which leads to fewer anomalies being identified, resulting in decreased identification frequency and recall. The other options suggest either increased identification or improved recall, which would not be accurate given the change in parameters.