0% found this document useful (0 votes)
336 views3 pages

Thank You For Taking The Week 8: Assignment 8. Week 8: Assignment 8

The document is an assessment submitted for an NPTEL online course on Introduction to Industry 4.0 and Industrial Internet of Things. It consists of 15 multiple choice questions related to topics covered in the course, including IIoT analytics, machine learning algorithms, deep learning, cloud computing applications, and Industry 4.0 requirements. The assessment was submitted on March 23, 2022.

Uploaded by

Chirag Bharambe
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
336 views3 pages

Thank You For Taking The Week 8: Assignment 8. Week 8: Assignment 8

The document is an assessment submitted for an NPTEL online course on Introduction to Industry 4.0 and Industrial Internet of Things. It consists of 15 multiple choice questions related to topics covered in the course, including IIoT analytics, machine learning algorithms, deep learning, cloud computing applications, and Industry 4.0 requirements. The assessment was submitted on March 23, 2022.

Uploaded by

Chirag Bharambe
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 3

Assessment submitted.

(https://swayam.gov.in)

(https://swayam.gov.in/nc_details/NPTEL)
X

sudhir.smp@gmail.com 

NPTEL (https://swayam.gov.in/explorer?ncCode=NPTEL)
»
Introduction To Industry 4.0 And Industrial

Internet Of Things (course)

Course
Thank you for taking the Week 8 :
outline Assignment 8.
How does an
NPTEL online
course work?
()
Week 8 : Assignment 8
Your last recorded submission was on 2022-03-23, 11:39 IST Due date: 2022-03-23, 23:59 IST.
Week 0 ()
1) Which of the following is/are the necessary requirements in IIoT analytics? 1 point

Week 1 ()
(a) Static operation optimization

(b) Prognostic maintenance
Week 2 ()

(c) Historical data analysis

Week 3 ()
(d) None of the above

2) Which of the following is/are true for the K-means clustering algorithm? 1 point
Week 4 ()

(a) One data point may be categorized under multiple cluster heads
Week 5 ()
(b) One data point is strictly categorized under a cluster head

(c) Both (a) and (b) are possible based on the user’s requirement
Week 6 ()

(d) None of the above
Week 7 () 3) Reinforcement learning amalgamates __________ control system. 1 point

Week 8 ()
(a) No

(b) An open-loop based
Lecture 36 :
IIoT Analytics
(c) A closed-loop based
and Data
(d) No of the above
Management:
Introduction 4) Which of the following is/are true for the decision tree algorithm? 1 point
(unit?
unit=73&lesson=74)
(a) Tree-based machine learning approach
Lecture 37 :
(b) Uses non-linear learning function
Assessment submitted.
IIoT Analytics
X
(c) Includes decision nodes and leaf nodes
and Data
Management:
(d) All of the above
Machine
5) Which of the following is true for reinforcement learning? 1 point
Learning and
Data Science –

(a) There is no mapping between input and output features
Part 1 (unit?
unit=73&lesson=75)
(b) There is a mapping between input and output features

(c) Reinforced learning is not concerned with the mapping between input and output
Lecture 38 :
IIoT Analytics
variables
and Data
(d) None of the above
Management:
Machine 6) Which of the following uses ANN for face tagging in photos? 1 point
Learning and
Data Science –
(a) WhatsApp
Part 2 (unit?
(b) Orkut
unit=73&lesson=76)

(c) Facebook
Lecture 39 :
(d) None of the above
IIoT Analytics
and Data 7) Using IIoT and machine learning, Toumetis helps __________ engineers to access 1 point
Management: real-time
data and predict anomalies
Cloud
Computing in
(a) Oil and gas
IIoT – Part 1
(b) Automobile
(unit?

(c) Dairy
unit=73&lesson=77)

(d) None of the above
Lecture 40 :
IIoT Analytics 8) When did deep learning start to gain popularity? 1 point
and Data
Management:
(a) 2005
Cloud
(b) 2006
Computing in

(c) 2007
IIoT – Part 2
(unit?
(d) 2008
unit=73&lesson=78)
9) Which of the following is/are true for TOSHIBA? 1 point
Week 8:
Lecture
(a) Inference process at edge
Material (unit?
(b) Learning process at cloud
unit=73&lesson=79)

(c) Both (a) and (b)
Quiz: Week 8 :
(d) None of the above
Assignment 8
(assessment? 10) Which of the following nature of data raises the need for the cloud in IIoT analytics and 1 point
name=164) data management?

Week 8

(a) Unorganized data
Feedback Form
(unit?
(b) Organized data
unit=73&lesson=80)
(c) Static data quality
Week 9 ()
(d) None of the data
Assessment submitted.
X 11) How many types of services are provided by cloud computing in IIoT 1 point
Download
Videos ()
(a) 4

(b) 3
Books ()

(c) 2

(d) 5
Text
Transcripts () 12) MindSphere facilitates _______________. 1 point

Live
(a) AWS cloud service
Interactive
(b) Open PaaS
Session ()

(c) Both (a) and (b)
 
(d) None of the above

13) Why does Honeywell use cloud software services? 1 point


(a) Managing IoT

(b) Tracking of capital

(c) Tracking of managers

(d) None of the above

14) Which of the following is/are the IIoT requirements in Industry 4.0? 1 point


(a) Achieve greater production

(b) Deeper insights of analysis and prediction

(c) Connected world of machines

(d) All of the above

15) In comparison with the centralized approach, decentralized approach in IIoT 1 point
___________.


(a) Increases load at cloud

(b) Does not have any impact at cloud

(c) Reduces load at cloud

(d) None of the above

You may submit any number of times before the due date. The final submission will be considered
for grading.
Submit Answers

You might also like