PGCM (Data Science in Financial Markets) Quiz - National Institute of Securities Markets (NISM)

Created on February 01, 2021 By

nitin.shukla

PGCM (Data Science in Financial

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Q1. Which of the following model is usually gold standard for data analysis?

Inferential

Descriptive

Casual

All of the mentioned

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Q2. How many depositories in India?

3

4

2

5

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Q3.Who is a data scientist?

Mathematician

Statistician

Software programmer

All of the above

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Q5.Like banks hold funds in an account, depositories hold _______in an account?

Bonds

Securities

Mutual Fund

Currencies

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Q4. Which of the following is performed by Data Scientist?

Define the question

Create reproducible code

Challenge results

All of the Mentioned

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Q6.Raw data should be processed only one time

True

False

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Q7.Which of the following is characteristic of Processed Data?

Data is not ready for analysis

All steps should be noted

Hard to use for data analysis

None of the mentioned

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Q8.Commodities, currencies, debt instruments and equities are commonly called as?

Markets

Asset classes

Economic Market

Stock Market

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Q9.Which of the following of a random variable is a measure of spread?

Variance

Standard deviation

Empirical mean

All of the mentioned

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Q10.Which of the following technique comes under practical machine learning?

Decision Tree

Data Visualisation

Forecasting

None of the mentioned

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Q11.A stock exchange is the place where _______is bought and sold?

Stocks

Gold

Real Estate

Currency bills

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Q12.__________ is the standard deviation of a sampling distribution.

Sample error

Sampling error

Simple error

Standard error

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Q13.In commodity futures market, a trader can initiate?

buy position only

a sell position only

any position ie. buy or sell

None of the above

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Q14.A retail participants to trade in commodity futures, need to register with?

Commodity broker

Stock broker

Commodity Exchange

Stock Exchange

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Q15.Pick Lazy Algorithm

K-Mean

RNN

KNN

CNN

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Q16.3V’s in Big Data

Velocity, Victory, Volume

Volume, Velocity, Variety

Volume, Viscous, Velocity

None of the above

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Q17.Positive Correlation:

Above -0.8

Below -0.8

Above 0.8

Below 0.65

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18.Weighted Average is used in:

Classification

Regression

Forecasting

Above All

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Q19.A statistical measure of changes in price over time is

Fluctuation

Variation

Volatility

Inflation

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20.Why Machine Learning in Data Science?

For Visualization

For Prediction

For Cleaning

All the above

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Q21. Tableau can create worksheet-specific filters.

True

False

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Q22.The function of securities markets is to:

offer dividend to investors

help companies to develop their business

Channel capital from those who have in surplus to those who can put it to productive use

help organisation to make profit

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Q23.Will filters work when we do data blending?

True

False

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Q24.Point out the correct statement:

A. Machine learning focuses on prediction, based on known properties learned from the training data

Data Cleaning focuses on prediction, based on known properties learned from the training data.

Representing data in a form which both mere mortals can understand and get valuable insights is as much a science as much as it is art

None of the Mentioned

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Q25.Which of the following can be considered as random variable?

The outcome from the roll of a die

The outcome of flip of a coin

The outcome of exam

All of the Mentioned

Your score is

The average score is 53%

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