KIIT Deemed to be University Ind 4.0 Quiz (Activity-5) Topic: Industry 4.0 Core Technologies âąī¸ 20:00 đ 10 Questions 1 Registration & Summary âšī¸ Quiz Summary Main Topic Topic: Industry 4.0 Core Technologies Questions 10 Items Time Limit 20 Minutes Negative Marking â None Student Name * Roll Number * Ready to begin? The timer starts immediately. đ Continue & Start Test 2 Quiz Questions Q1. How is Computer Vision, an AI technology, predominantly utilized on a modern assembly line? To automatically inspect products for visual defects and ensure quality control. To manage factory payroll and employee attendance. To translate maintenance manuals into different languages. To predict the financial market trends for raw materials. Q2. How does Prescriptive analytics go beyond simply predicting future outcomes? By only displaying historical charts. By deleting old, unnecessary historical data. By recommending specific actions to achieve a desired outcome or mitigate a future risk. By categorizing unstructured data into simple tables. Q3. In the context of industrial AI, what is a "neural network"? A computational model inspired by the human brain, used to recognize underlying relationships in data. A biological brain implanted into a robot. A social communication network for factory employees. A physical network of copper wires connecting machines. Q4. How does Fog Computing help manage network bandwidth in a Smart Factory? By filtering and analyzing raw data locally, sending only essential summaries, anomalies, or alerts up to the cloud. By physically compressing materials to reduce data loads. By forcing all data to be sent through standard dial-up connections. By shutting down the factory network periodically to clear data caches. Q5. What type of data analytics primarily answers the question, "What happened?" Diagnostic Analytics Descriptive Analytics Prescriptive Analytics Predictive Analytics Q6. What is meant by "unstructured data" in a manufacturing data lake? Data that has been completely deleted from the active servers. Data that is currently being actively processed by a computer's CPU. Data neatly organized in a rigid relational database with rows and columns. Data that lacks a pre-defined data model, such as maintenance log text, images, and audio recordings. Q7. How can Augmented Reality (AR) facilitate "remote expert assistance" in Industry 4.0? By simulating a holographic body of the expert in the room. By allowing an off-site expert to see exactly what a local technician sees through smart glasses, and letting the expert draw digital annotations on the technician's field of view. By automatically repairing a broken machine via cloud commands. By sending a static PDF manual via email. Q8. What is the fundamental difference between Virtual Reality (VR) and Augmented Reality (AR)? VR completely immerses the user in a simulated digital environment, while AR overlays digital information onto the user's view of the real physical world. VR is exclusively for gaming; AR is exclusively for industrial use. There is no difference; they are interchangeable marketing terms. AR requires a high-powered computer; VR operates entirely without electricity. Q9. How do Virtual Reality (VR) and Additive Manufacturing (CAD) integrate during the early design phase of a new factory layout? They cannot be integrated due to software incompatibilities. VR prevents CAD models from being accessed by unauthorized personnel. Designers can use VR headsets to step inside and walk through full-scale 3D CAD models of the factory layout before any physical construction begins. VR is used to physically heat the 3D printing filament. Q10. Which of the following is an example of a "Software as a Service" (SaaS) application in cloud-based manufacturing? Renting a physical warehouse space to store server racks. Purchasing a physical industrial robotic arm. Installing localized operating systems on individual PLCs. Accessing a cloud-hosted ERP or CAD platform through a web browser on a monthly subscription basis. đ¯ Complete My Submission
