SACA Factory Data Analytics 3

Question 1

Which machine learning algorithm is most commonly used for anomaly detection in continuous sensor streams?

Accepted Answer

Isolation Forest

Answer

Isolation Forest isolates anomalies by randomly partitioning data, making it effective for detecting rare events in sensor streams.

Question 2

What is the key difference between descriptive and diagnostic analytics in a factory setting?

Accepted Answer

Descriptive summarizes what happened; diagnostic explains why it happened

Answer

Descriptive analytics answers 'what happened' through summaries and dashboards, while diagnostic analytics drills into root causes.

Question 3

A factory wants to predict equipment failure 48 hours in advance. Which analytics approach is most suitable?

Accepted Answer

Predictive analytics using historical sensor data and ML models

Answer

Predictive analytics uses historical patterns and machine learning to forecast future events like equipment failures.

Question 4

Which data quality dimension measures the extent to which data is available when needed?

Accepted Answer

Timeliness

Answer

Timeliness refers to whether data is available at the time it is needed for decision-making.

Question 5

In an IoT-enabled factory, what protocol is most widely used for lightweight machine-to-machine messaging?

Accepted Answer

MQTT

Answer

MQTT (Message Queuing Telemetry Transport) is a lightweight publish-subscribe protocol designed for constrained IoT devices.

SACA - Smart Automation Certification Alliance Practice Test