Uncover the importance of batch anomaly detection in sensor data analysis.
Table of Contents
Question
You are building a solution that will detect anomalies in sensor data from the previous 24 hours.
You need to ensure that the solution scans the entire dataset, at the same time, for anomalies.
Which type of detection should you use?
A. batch
B. streaming
C. change points
Answer
A. batch
Explanation
Batch anomaly detection is the appropriate choice when you need to scan the entire dataset at once for anomalies. This type of detection is suitable when you have a complete dataset available, such as sensor data from the previous 24 hours, and you want to analyze it in its entirety.
Designing and Implementing a Microsoft Azure AI Solution AI-102 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Designing and Implementing a Microsoft Azure AI Solution AI-102 exam and earn Designing and Implementing a Microsoft Azure AI Solution AI-102 certification.