Download ARPIT 2020 Components And Applications Of Internet Of Things Creation Question Paper

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ARPIT Last 10 Years 2011-2021 Previous Question Papers

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Question Paper Name :	Components And Applications C
Subject Name :	2020 Shift 1
Creation Date :	Components and Applications of
Duration :	2020-09-15 13:26:32
Total Marks :	180
Display Marks:	100
Share Answer Key With Delivery Engine :	Yes
Actual Answer Key :	Yes
Group Number :	Yes
Group Id :	1
Group Maximum Duration :	8995145
Group Minimum Duration :	0
Show Attended Group? :	120
Edit Attended Group? :	No
Break time:	No
Group Marks :	0
Is this Group for Examiner? :	100
Section Id :	No
Section Number :	8995145
Section type :	1
Mandatory or Optional :	Online
Number of Questions :	Mandatory
Number of Questions to be attempted :	100
Section Marks :	100
Display Number Panel :	100
Group All Questions :	Yes
Mark As Answered Required? :	Yes
Sub-Section Number :	Yes
Sub-Section Id :	1
Question Shuffling Allowed :	8995145

Question Number : 1 Question Id : 899514341 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
In which of the following applications can we use deep learning to solve the problem?
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1. Image classifications
2. Protein structure prediction
3. Detection of exotic particles
4. All of the above
Options:
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8995141363. 3

8995141364. 4

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Question Number : 2 Question Id : 899514342 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Statement 1: It is possible to train a network well by initializing all the weights.

Statement 2: It is possible to train a network well by initializing biases as 0. Which of the following statements given above is true?
1. Statement 1 is true and Statement 2 is false
2. Statement 1 is false and Statement 2 is true
3. Both are true
4. Both are false
Options:

8995141365. 1

8995141366. 2

8995141367. 3
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8995141368. 4
Question Number : 3 Question Id : 899514343 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Definition of density at a point p is:
1. number of points within a circle of radius Eps centered p
2. diameter of a circle of radius Eps centered p
3. radius of a circle of radius Eps centered p
4. None of the above
Options:

8995141369. 1

8995141370. 2
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8995141371. 3

8995141372. 4
Question Number : 4 Question Id : 899514344 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which one of the following is a Keras model that provides linear stack of layers?
1. Dense
2. Sequential
3. Keras functional API
4. Initializer
Options:

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8995141375. 3

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Question Number : 5 Question Id : 899514345 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
To obtain the list of weights of the layer layer, which of the following function is used?
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1. layer.weights()
2. layer.get_weights()
3. layer.set_weights(weights)
4. layer.input()
Options:
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Question Number : 6 Question Id : 899514346 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
What types of points are identified by DB-Scan?
1. Core points
2. Border points
3. Noise points
4. All the above
Options:

8995141381. 1

8995141382. 2

8995141383. 3

8995141384. 4
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Question Number : 7 Question Id : 899514347 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following is the default activation function for the dense layers in Keras?
1. softmax
2. selu
3. linear
4. relu
Options:

8995141385. 1

8995141386. 2

8995141387. 3
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8995141388. 4
Question Number : 8 Question Id : 899514348 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
A dropout layer is used to
1. introduce non-linearity
2. prevent overfitting
3. to flatten the input
4. to reshape the input
Options:

8995141389. 1

8995141390. 2
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8995141391. 3

8995141392. 4
Question Number : 9 Question Id : 899514349 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Limitations of DB-Scan include:
1. Varying densities
2. High-dimensional data
3. Sensitivity to parameters
4. All the above
Options:

8995141393. 1
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8995141394. 2

8995141395. 3

8995141396. 4
Question Number : 10 Question Id : 899514350 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following parameter specifies the number of times model sees training data?
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1. loss
2. epochs
3. batch size
4. verbose
Options:
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8995141397. 1

8995141398. 2

8995141399. 3

8995141400. 4

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Question Number : 11 Question Id : 899514351 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following parameter specifies the number of training samples which are seen before updating the weights.
1. loss
2. epochs
3. batch size
4. verbose
Options:

8995141401. 1

8995141402. 2

8995141403. 3

8995141404. 4
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Question Number : 12 Question Id : 899514352 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
What is the limitation of complete linkage clustering:
1. Tries to break large clusters
2. Sensitive to noise
3. It can't handle non-elliptical shapes
4. Merges smaller clusters
Options:

8995141405. 1

8995141406. 2

8995141407. 3
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8995141408. 4
Question Number : 13 Question Id : 899514353 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which one of the following is the compulsory parameter for defining Conv2D() in Keras?
1. kernel_size
2. strides
3. activation
4. data_format
Options:

8995141409. 1

8995141410. 2
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8995141411. 3

8995141412. 4
Question Number : 14 Question Id : 899514354 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
What is the default stride for Conv2D() layer in Keras?
1. (1,1)
2. (1,2)
3. (2,1)
4. (2,2)
Options:

8995141413. 1
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8995141414. 2

8995141415. 3

8995141416. 4
Question Number : 15 Question Id : 899514355 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following is a aggregation-based supervised learning
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1. Hidden Markov Model
2. Kernel regression
3. Decision tree
4. Adaboost
Options:
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8995141417. 1

8995141418. 2

8995141419. 3

8995141420. 4

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Question Number : 16 Question Id : 899514356 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
An ultrasonic sensor is
1. Active sensor
2. Passive sensor
3. Both
4. Neither active nor passive
Options:

8995141421. 1

8995141422. 2

8995141423. 3

8995141424. 4
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Question Number : 17 Question Id : 899514357 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Assume that there are four possible states (s1, s2, s3, and s4) that a robot can occupy. What is the probability that the robot occupies the state s1? Assume a uniform belief.
1. 1
2. 0
3. 0.25
4. Information is insufficient to determine the probability
Options:

8995141425. 1

8995141426. 2

8995141427. 3
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8995141428. 4
Question Number : 18 Question Id : 899514358 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following can be used as a non-linear classifier
1. Support vector machine
2. K-means
3. Linear regression
4. None of these
Options:

8995141429. 1

8995141430. 2
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8995141431. 3

8995141432. 4
Question Number : 19 Question Id : 899514359 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
The key difference(s) between robotic things in IoRT compared to the things in IoT
1. The robotic things are more efficient unlike the things in IoT
2. The robotic things can directly move other things physically unlike the things in IoT
3. The robotic things are more secure unlike the things in IoT
4. The robotic things are can communicate better compared to the things in IoT
Options:

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Question Number : 20 Question Id : 899514360 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following is/are enabled by IoRT over conventional robots
1. Communication between geographically separated humans and robots
2. Distributed localization and object recognition
3. None of the above
4. Both (a) & (b)
Options:

8995141437. 1

8995141438. 2

8995141439. 3

8995141440. 4
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Question Number : 21 Question Id : 899514361 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
In which of the following field, machine learning is used extensively
1. Computational biology
2. Natural language processing
3. Computer vision
4. All of the above
Options:

8995141441. 1

8995141442. 2

8995141443. 3
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8995141444. 4
Question Number : 22 Question Id : 899514362 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
The CRLB for the fisher information matrix A = [a1 a2]^T, where a1 = [5 4] and a2 = [3 2] and T denotes transpose of a matrix, is
1. 0.352942
2. 0.058824
3. -0.058824
4. 0.235295
Options:

8995141445. 1

8995141446. 2
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8995141447. 3

8995141448. 4
Question Number : 23 Question Id : 899514363 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
The Galvanic skin response sensor records the
1. Intensity of human emotional state
2. Health condition of muscles
3. Electrical signals from the heart
4. Breathing rate
Options:

8995141449. 1
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8995141450. 2

8995141451. 3

8995141452. 4
Question Number : 24 Question Id : 899514364 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which one of the following is a standard metric to measure the performance of any learning algorithm:
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1. Accuracy
2. F-measure
3. Precision
4. All of the above
Options:
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Question Number : 25 Question Id : 899514365 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following is the main spike visible on an ECG line
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1. P
2. ST
3. QRS
4. PQ
Options:
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8995141457. 1

8995141458. 2

8995141459. 3

8995141460. 4

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Question Number : 26 Question Id : 899514366 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
The sensor node in smart agriculture kit to integrate multiple sensors is called
1. Wardmote
2. Waspmote
3. Sensonode
4. Meshlium
Options:

8995141461. 1
Question Number : 27 Question Id : 899514367 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
For classification problems with unequal class distributions which of the following is a good performance measure
1. Accuracy
2. F-measure
3. Precision
4. Recall
Options:

8995141465. 1
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8995141466. 2

8995141467. 3

8995141468. 4
Question Number : 28 Question Id : 899514368 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
Which of the following methods is based on weighted least squares in which previous values are taken in account for determining the future value?
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1. Bayesian method
2. Recursive Least Square method
3. Kalman filter method
4. None of these
Options:
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8995141469. 1

8995141470. 2

8995141471. 3

8995141472. 4

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Question Number : 29 Question Id : 899514369 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
A set of recursive equations to find the optimal gain at each time step is called
1. Adaptive least square equations
2. Riccati Equations
3. Gauss Equations
4. Kalman Equations
Options:

8995141473. 1

8995141474. 2

8995141475. 3

8995141476. 4
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Question Number : 30 Question Id : 899514370 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
F-measure is the ________ of precision and recall
1. geometric mean
2. arithmetic mean
3. weighted mean
4. harmonic mean
Options:

8995141477. 1

8995141478. 2

8995141479. 3
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8995141480. 4
Question Number : 31 Question Id : 899514371 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
If X is the random variable and a and b are the constants, the expectation of aX+ b
1. aE(X)
2. aE(X) + b
3. a² E(X) + b
4. None of these
Options:

8995141481. 1

8995141482. 2
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8995141483. 3
Question Number : 32 Question Id : 899514372 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
The zero-mean and unity-mean features in localization are used to handle
1. Device diversity
2. Huge volume of data
3. Uncertainty of measurements
4. None of these
Options:

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8995141486. 2
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8995141488. 4
Question Number : 33 Question Id : 899514373 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
A standard way of estimating the parameters of machine learning algorithm
1. With the use of validation set
2. 1 -fold Cross validation technique
3. Training and testing
4. N-fold cross validation
Options:

8995141489. 1
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Question Number : 34 Question Id : 899514374 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0
If the standard deviation of localization error for Localization Methods A and B are 1 m and 1.5 m, respectively. Which method is good?
1. A
2. B
3. Both are same
4. None of these
Options:

8995141493. 1

8995141494. 2

8995141495.
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This download link is referred from the post: ARPIT Last 10 Years 2011-2021 Previous Question Papers

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This post was last modified on 19 January 2021

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