SACA Smart Factory Data Analytics 3

Question 1

Which technique is used to detect anomalies in sensor time-series data by modeling the expected data distribution and flagging statistical outliers?

Accepted Answer

Isolation Forest

Answer

Isolation Forest is an unsupervised anomaly detection algorithm well-suited to high-dimensional sensor time-series data in smart factories.

Question 2

In a smart factory context, what does OEE stand for?

Accepted Answer

Overall Equipment Effectiveness

Answer

OEE (Overall Equipment Effectiveness) measures how effectively manufacturing equipment is used, combining availability, performance, and quality.

Question 3

A data pipeline ingests 10,000 sensor readings per second. Which storage architecture is best suited for real-time querying and historical trend analysis?

Accepted Answer

Time-series database with a data lake tier

Answer

A time-series database handles high-frequency ingestion and fast range queries, while a data lake tier stores historical data cost-effectively for trend analysis.

Question 4

What is the primary purpose of a digital twin in smart factory data analytics?

Accepted Answer

To simulate and monitor physical assets using real-time data

Answer

A digital twin is a virtual replica of a physical asset that uses real-time sensor data to simulate behavior, enabling monitoring, prediction, and optimization.

Question 5

Which data quality issue occurs when the same event is recorded multiple times in a factory data stream due to network retransmission?

Accepted Answer

Duplicate records

Answer

Duplicate records arise when network retransmission causes the same sensor event to be written more than once, requiring deduplication in the pipeline.

SACA - Smart Automation Certification Alliance Practice Test

SACA - Smart Automation Certification Alliance Practice Test

SACA Smart Factory Data Analytics 3