Preview Questions Software Developer (Industrial Automation) | Role Specific Skill

Question 1: How does a recurrent neural network (RNN) differ from a feedforward neural network?

Which action should you take?

Choose only one option

RNNs can process sequential data

RNNs use convolution layers

RNNs have no hidden layers

RNNs are used only for classification

Question 2: When programming a PLC for a chemical processing system, which of the following is critical to ensure safety during automatic shutdowns?

Which action should you take?

Choose only one option

Increasing the scan cycle time

Implementing interlocks and safety relays

Using a single controller for all functions

Relying on manual override systems

Question 3: When using a Siemens PLC with Profinet for communication, what must be considered when handling data exchange with external systems?

Which action should you take?

Choose only one option

Ensure proper configuration of IP addresses and network topology

Ignore network traffic for real-time data exchange

Use USB-to-Ethernet adapters for all communication

Use serial communication instead of Ethernet

Question 4: In a petrochemical plant, when troubleshooting an embedded system that fails to respond to external sensors, what should the first step be?

Which action should you take?

Choose only one option

Increase sensor sensitivity for more accurate readings

Check for software bugs in the application code

Reboot the microcontroller and check for errors

Check for communication errors or bus failures between the sensor and microcontroller

Question 5: In designing a real-time system for pump control in a petrochemical plant, which factor is most critical for ensuring continuous operation during hardware failures?

Which action should you take?

Choose only one option

Relying on manual overrides during emergencies

Implementing hot-swappable components and redundant controllers

Increasing the scan cycle frequency of the PLC

Using high-precision actuators for fast response times

Question 6: What is the purpose of cross-validation in machine learning?

Which action should you take?

Choose only one option

To train the model

To handle missing data

To prevent overfitting

To improve computational speed