Download ARPIT 2020 Big Data Analytics For Smart Grid Creation Question Paper

National Testing Agency

Question Paper Name : Big Data Analytics For Smart Grid

Subject Name : Big Data Analytics For Smart Grid

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Creation Date : 2020-09-15 21:02:51

Duration : 180

Total Marks : 100

Display Marks: Yes

Share Answer Key With Delivery Engine : Yes

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Actual Answer Key : Yes

Big Data Analytics For Smart Grid

Group Number : 1

Group Id : 89951425

Group Maximum Duration : 0

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Group Minimum Duration : 120

Show Attended Group? : No

Edit Attended Group? : No

Break time : 0

Group Marks : 100

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Is this Group for Examiner? : No

Big Data Analytics For Smart Grid

Section Id : 89951425

Section Number : 1

Section type : Online

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Mandatory or Optional : Mandatory

Number of Questions : 100

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Number of Questions to be attempted : 100

Section Marks : 100

Display Number Panel : Yes

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Group All Questions : Yes

Mark As Answered Required? : Yes

Sub-Section Number : 1

Sub-Section Id : 89951438

Question Shuffling Allowed : Yes

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Question Number : 1 Question Id : 8995142050 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 Fourier Series Analysis for Harmonic Decomposition a₀ stands for

1. Fundamental component
2. Harmonic component
3. dc component

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4. ac component

Options:

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8995148161. 2

8995148162. 3

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Question Number : 2 Question Id : 8995142051 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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Smart grid back bone is......... which connect different components to a smart grid, and provide two way communication.

1. Smart Meter
2. ICT

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3. SCADA
4. DCS

Options:

8995148164. 1

8995148165. 2

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8995148166. 3

8995148167. 4

Question Number : 3 Question Id : 8995142052 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 do we use to find the best fit line for data in Linear Regression?

1. Least Square Error

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2. Maximum Likelihood
3. Logarithmic Loss
4. Both A and B

Options:

8995148168. 1

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8995148169. 2

8995148170. 3

8995148171. 4

Question Number : 4 Question Id : 8995142053 Question Type : MCQ Option Shuffling : No Display Question

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Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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In terms of bias and variance. Which of the following is true when you fit degree polynomial?

1. Bias will be high, variance will be high
2. Bias will be low, variance will be high
3. Bias will be high, variance will be low
4. Bias will be low, variance will be low

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Options:

8995148172. 1

8995148173. 2

8995148174. 3

8995148175. 4

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Question Number : 5 Question Id : 8995142054 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Suppose that you have a dataset D1 and you design a linear regression model of d 3 polynomial and you found that the training and testing error is "0" or in another it perfectly fits the data.

What will happen when you fit degree 4 polynomial in linear regression?

1. There are high chances that degree 4 polynomial will over fit the data
2. There are high chances that degree 4 polynomial will under fit the data

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3. Degree 4 polynomial will perfect fit the data
4. Cant Say

Options:

8995148176. 1

8995148177. 2

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Question Number : 6 Question Id : 8995142055 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 test linear relationship of y(dependent) and x(independent) continuous variable which of the following plot best suited?

1. Scatter plot
2. Barchart
3. Histograms

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4. Spectrum

Options:

8995148180. 1

8995148181. 2

8995148182. 3

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8995148183. 4

Question Number : 7 Question Id : 8995142056 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Pick the incorrect attribute of Big Data?

1. Velocity
2. Volume

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3. Version
4. Veracity

Options:

8995148184. 1

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Question Number : 8 Question Id : 8995142057 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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The number of nodes in the input layer is 10 and the hidden layer is 5. The maximum number of connections from the input layer to the hidden layer are

1. 50
2. Less than 50
3. More than 50
4. It is an arbitrary value

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Options:

8995148188. 1

8995148189. 2

8995148190. 3

8995148191. 4

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Question Number : 9 Question Id : 8995142058 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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The smart Grid sensing and control infrastructure is comprised of,

1. DG, Combined heat and power (CHP), PHEVS, PV cells and WT
2. Sensors, intelligent electronic devices (IEDs) and smart meters
3. µwave, IR, PLCC, GSM and CDMA

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4. High-end servers, middleware and data-storage unit

Options:

8995148192. 1

8995148193. 2

8995148194. 3

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8995148195. 4

Question Number : 10 Question Id : 8995142059 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 a smart meter provides 15 minutes interval data, how many record you will get in week?

1. 96 reads
2. 672 reads

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3. 192 reads
4. 48 reads

Options:

8995148196. 1

8995148197. 2

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8995148198. 3

8995148199. 4

Question Number : 11 Question Id: 8995142060 Question Type : MCQ Option Shuffling : No Display Question

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Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

What is the sampling rate of Digital Fault Recorder (DFR)?

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1. 1600 Samples per second
2. 4 Samples per second
3. 6 Samples per second
4. 240 Samples per second

Options:

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8995148200. 1

8995148201. 2

8995148202. 3

8995148203. 4

Question Number : 12 Question Id : 8995142061 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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AMI means

1. Automated Metering Instrument
2. Alternate Metering Instrument
3. Advanced Metering Infrastructure
4. Advanced Metering Instrument

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Options:

8995148204. 1

8995148205. 2

8995148206. 3

8995148207. 4

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Question Number : 13 Question Id : 8995142062 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 statement is true about prediction problems?

1. The output attribute must be categorical.
2. The output attribute must be numeric.
3. The resultant model is designed to determine future outcomes.

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4. The resultant model is designed to classify current behaviour.

Options:

8995148208. 1

8995148209. 2

8995148210. 3

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8995148211. 4

Question Number : 14 Question Id : 8995142063 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 neural network training challenge can be solved using batch normalization?

1. Overfitting
2. Restrict activations to become too high or low

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3. Training is too slow
4. Both B and C

Options:

8995148212. 1

8995148213. 2

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8995148214. 3

8995148215. 4

Question Number : 15 Question Id : 8995142064 Question Type : MCQ Option Shuffling : No Display Question

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Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

You observe the following while fitting a linear regression to the data: As you increase the amount of training data, the test error decreases and the training error increases. The train error is quite low (almost what you expect it to), while the test error is much higher than the train error. What do you think is the main reason behind this behavior. Choose the most probable option.

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1. High variance
2. High model bias
3. High estimation bias
4. None of the above

Options:

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8995148216. 1

8995148217. 2

8995148218. 3

8995148219. 4

Question Number : 16 Question Id : 8995142065 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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Which of the following is correct way to import the Numpy module in your program

1. import numpy
2. import numpy as np
3. from numpy import *
4. All of the above

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Options:

8995148220. 1

8995148221. 2

8995148222. 3

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Question Number : 17 Question Id : 8995142066 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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A stepped sine wave obtained from the constant dc input source is odd symmetry i f(-t) = -f(t),

1. a₀ and a_n are zero and the peak value of the output is resolved using b_n alone
2. a₀ is zero and the peak value of the output is resolved using a_n and b_n
3. a_n is zero and the peak value of the output is resolved using a₀ and b_n
4. a₀ and b_n are zero and the peak value of the output is resolved using a_n alone

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Options:

8995148224. 1

8995148225. 2

8995148226. 3

8995148227. 4

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Question Number : 18 Question Id : 8995142067 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Classification problems are distinguished from estimation problems in that

1. classification problems require the output attribute to be numeric.
2. classification problems require the output attribute to be categorical.
3. classification problems do not allow an output attribute.

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4. classification problems are designed to predict future outcome.

Options:

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Question Number : 19 Question Id : 8995142068 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Data used to optimize the parameter settings of a supervised learner model.

1. training

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2. test
3. verification
4. validation

Options:

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8995148233. 2

8995148234. 3

8995148235. 4

Question Number : 20 Question Id : 8995142069 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Simple regression assumes a ________ relationship between the input attribute output attribute.

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1. linear
2. quadratic
3. reciprocal
4. inverse

Options:

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Question Number : 21 Question Id : 8995142070 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 tuples and list which is correct?

A - List and tuples both are mutable.

B - List is mutable whereas tuples are immutable.

C - List and tuples both are immutable.

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D - List is immutable whereas tuples are mutable.

Options:

8995148240. 1

8995148241. 2

8995148242. 3

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8995148243. 4

Question Number : 22 Question Id : 8995142071 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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What is output for: 2 * 2 **3

A - 12

B- 64

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C- 16

D- 36

Options:

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8995148245. 2

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8995148247. 4

Question Number : 23 Question Id : 8995142072 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 module is used in python to create plots ?

A - matplotlib

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B - Canvas

C - Tkinter

D - Graphics

Options:

8995148248.1

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8995148249.2

8995148250.3

8995148251.4

Question Number : 24 Question Id: 8995142073 Question Type: MCQ Option Shuffling : No Display Question:

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Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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Which module is used in python to create 2D arrays ?

A - array

B - 2Darray

C - NumPy

D - array2D

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Options:

8995148252. 1

8995148253.2

8995148254.3

8995148255.4

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Question Number : 25 Question Id : 8995142074 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 Python tuple?

A) [1, 2, 3].

B) (1, 2, 3)

C) {1, 2, 3}

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D) {}

Options:

8995148256. 1

8995148257.2

8995148258.3

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8995148259.4

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Question Number : 26 Question Id : 8995142075 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Suppose t = (1, 2, 4, 3), which of the following is incorrect?

A) print(t[3])

B) t[3] = 45

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C) print(max(t))

D) print(len(t))

Options:

8995148260. 1

8995148261.2

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8995148262.3

8995148263.4

Question Number : 27 Question Id : 8995142076 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 method can be used to replace parts of a string?

A) repl()

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B) replace/()

C) switch()

D) replaceString()

Options:

8995148264. 1

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8995148265.2

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Question Number : 28 Question Id : 8995142077 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 will be the output?

t=(1,2,4,3)

>>>t[1:-1]

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A) (2, 4)

B) (1, 2, 4)

C) (1,2)

D) (2, 4, 3)

Options:

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8995148268.1

8995148269.2

8995148270.3

8995148271.4

Question Number : 29 Question Id : 8995142078 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

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What will be the output?

d = {"john":40, "peter":45}

d["john"]

A) 40

B) 45

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C) "john"

D) "peter"

Options:

8995148272.1

8995148273.2

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8995148274.3

8995148275.4

Question Number : 30 Question Id : 8995142079 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Is Python case sensitive when dealing with identifiers?

A) yes

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B) no

C) machine dependent

D) none of the mentioned

Options:

8995148276. 1

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8995148277 2

8995148278.3

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Question Number : 31 Question Id : 8995142080 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

All keywords in Python are in

A) lower case

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B) UPPER CASE

C) Capitalized

D) None of the mentioned

Options:

8995148280.1

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8995148281.2

8995148282.3

8995148283.4

Question Number : 32 Question Id : 8995142081 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 statement is used to stop a loop?

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A) exit

B) stop

C) return

D) break

Options:

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Question Number : 33 Question Id : 8995142082 Question Type : MCQ Option Shuffling : No Display Question Mandatory : No Single Line Question Option : No Option Orientation : Vertical Correct Marks : 1 Wrong Marks : 0

Suppose list1 is [4, 2, 2, 4, 5, 2, 1, 0], Which of the following is correct syntax for slicing operation ?

A) print(list1[0])

B) print(list1[:2])

C) print(list1[:-2])

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D) all of the mentioned

Options:

8995148288.1

8995148289.2

8995148290.3

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8995148291.4

Question Number : 34 Question

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