SACA Smart Factory Data Analytics 4

Question 1

Which protocol is most commonly used to transport IoT sensor data from factory floor devices to a broker in a smart factory?

Accepted Answer

MQTT

Answer

HTTP/1.1

Answer

FTP

Answer

SMTP

Question 2

A factory analyst wants to identify which combination of machine parameters most frequently precedes a product defect. Which analytical approach is most appropriate?

Accepted Answer

Association rule mining on process parameter logs

Answer

Descriptive statistics on defect count alone

Answer

Linear regression on throughput data

Answer

Network topology mapping

Question 3

What is 'data drift' in the context of a smart factory ML model deployed in production?

Accepted Answer

A gradual change in the statistical distribution of incoming data compared to training data

Answer

Data being physically moved between servers

Answer

Loss of data due to network packet drops

Answer

Incorrect timestamp alignment across sensors

Question 4

In a smart factory dashboard, a line chart shows sudden spikes in cycle time every Monday morning. What is the most likely root cause to investigate first?

Accepted Answer

A weekly scheduled maintenance or shift changeover event

Answer

Random sensor noise

Answer

Network bandwidth saturation in the data warehouse

Answer

A bug in the dashboard rendering library

Question 5

Which technique reduces the dimensionality of high-dimensional sensor data while preserving the most variance, aiding visualization and model training?

Accepted Answer

Principal Component Analysis (PCA)

Answer

K-means clustering

Answer

Random Forest feature selection

Answer

Long Short-Term Memory (LSTM) networks

Question 6

A smart factory collects temperature readings from 500 machines every second. After 30 days, the raw dataset is approximately how large if each reading is a 4-byte float?

Accepted Answer

~5.2 GB

Answer

~52 MB

Answer

~52 GB

Answer

~520 GB

Question 7

What is the role of a message broker like Apache Kafka in a smart factory data pipeline?

Accepted Answer

It acts as a durable, high-throughput buffer between data producers and consumers

Answer

It stores long-term historical analytics results

Answer

It performs SQL queries on streaming data

Answer

It manages machine PLC programs