(Week 3) NPTEL Foundation of Cloud IoT Edge ML - Assignment Answer 2023
NPTEL Foundation of Cloud IoT Edge ML - Assignment 3 Answer 2023 .In this article we are going to share answers for NPTEL Foundation of Cloud IoT Edge ML . All the Answers are provided below to help students as a reference. This will help you with the answers to NPTEL (National Programme on Technology Enhanced Learning)
Week : 3 Assignment 2023 nptel
Course Name: Foundation of Cloud IoT Edge ML
Below you will find answers for Foundation of Cloud IoT Edge ML Assignment 3 Answer 2023:-
NTPEL Foundation of Cloud IoT Edge ML Assignment answers
Q1. List out the limitations of traditional loT platform.
A) Poor internet connectivity
B) Poor data gravity
C) Poor real time responses
D) All of the above
Answer:- D) All of the above
Q2. ____________is the edge computing approach that significantly saves the bandwidth and cloud storage.
A) Filtered data transfer
B) Faster decision-making
C) Both of them
D) None of them
Answer:- A) Filtered data transfer
Q3. In the _____________ phase, a developer feeds their model a curated dataset so that it can "learn" everything it needs to about the type of data it will analyze. Then, in the ___________ phase, the model can make predictions based on live data to produce actionable results.
A) Training, Inferencing
B) Training, Model shifting
C) Model shifting, Inferencing
D) Model shifting, Training
Answer:- A) Training, Inferencing
Q4._____________ involves calculating explicit label for every data point in the sample based on the actual observations on the data.
A) Data preparation
B) Data collection
C) Data streaming
D) None of the above
Answer:- D) None of the above.
Q5. List out the key characteristics of azure loT Hub.
A) Manages service for bi-directional communication
B) Platform as a service
C) Programmable SDK
D) All of the above
Answer:- D) All of the above
Q6. Which of the following studies various techniques to classify patterns?
A) Image Processing
B) Photogrammetry
C) Image Recognition
D) Pattern Recognition
Answer:- D) Pattern Recognition
Q7. The input and output of image processing are?
A) Signal and image
B) Signal only
C) Image only
D) Depends on input
Answer:- A) Signal and image
Q8. In Fast R-CNN, we extract feature maps from the input image only once as compared to R-CNN where we extract feature maps from each region proposal separately?
A) True
B) False
A) True.
Q9. Which of the following networks has the fastest prediction time?
A) R-CNN
B) Fast R-CNN
C) Faster R-CNN
Answer:- B) Fast R-CNN
Q10. List out the features provided by Azure Custom Vision service:
A) Train a computer vision model by simply uploading and labeling few images.
B) Build image classifier model using code- free and code-first approach.
C) Deploy the model in the cloud on-premise, or on edge devices.
D) All of the above
Answer:- D) All of the above
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