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Data Analytics Unit 2

Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.

📚 Data Analytics
📖 Unit 2
🎯 MCQs

Data Analytics - Unit-2

1
Analytics is the process of
Astoring data only
Bexamining data to discover useful patterns and draw conclusions
Cdeleting old data
Ddesigning hardware
Correct Answer examining data to discover useful patterns and draw conclusions
2
Which type of analytics answers the question 'What happened?'
APredictive analytics
BPrescriptive analytics
CCognitive analytics
DDescriptive analytics
Correct Answer Descriptive analytics
3
Which type of analytics answers 'What is likely to happen?'
APredictive analytics
BDescriptive analytics
CDiagnostic analytics
DArchival analytics
Correct Answer Predictive analytics
4
Which type of analytics recommends 'What should we do?'
ADescriptive analytics
BDiagnostic analytics
CPredictive analytics
DPrescriptive analytics
Correct Answer Prescriptive analytics
5
Diagnostic analytics tries to find out
Awhat will happen next
Bwhy something happened
Cwhat is stored
Dwho wrote the data
Correct Answer why something happened
6
Which of the following is an open-source language widely used for statistical analysis?
ACOBOL
BFortran 77 only
CAssembly
DR
Correct Answer R
7
Which Python library is widely used for data manipulation and analysis?
AFlask
Bpandas
CTkinter
DPygame
Correct Answer pandas
8
Gender and colour are examples of
Aratio variables
Binterval variables
Cnominal variables
Dcontinuous variables
Correct Answer nominal variables
9
Ratings such as low, medium and high are
Anominal variables
Bordinal variables
Cratio variables
Dcontinuous variables
Correct Answer ordinal variables
10
Which measurement scale has a true zero point?
ANominal scale
BOrdinal scale
CRatio scale
DInterval scale
Correct Answer Ratio scale
11
A categorical variable
Acan take any real value
Bis always numeric
Cis always a date
Dtakes values from a limited set of categories
Correct Answer takes values from a limited set of categories
12
Which of the following is a continuous variable?
ANumber of children
BGender
CPostal code
DHeight of a person
Correct Answer Height of a person
13
Which of the following is a discrete variable?
ANumber of customers
BTemperature
CWeight
DDistance
Correct Answer Number of customers
14
In modeling, the dependent variable is
Athe variable used to predict
Ba constant value
Cthe outcome that is being predicted
Da missing value
Correct Answer the outcome that is being predicted
15
In modeling, an independent variable is
Athe output being predicted
Ba predictor used to explain the outcome
Calways categorical
Da duplicate record
Correct Answer a predictor used to explain the outcome
16
Business modeling is used to
Adesign computer hardware
Bwrite operating systems
Crepresent business processes and data to support decision making
Dprint reports only
Correct Answer represent business processes and data to support decision making
17
Median imputation is preferred over mean imputation when the data
Ais perfectly symmetric
Bhas no values
Cis skewed or has outliers
Dis categorical only
Correct Answer is skewed or has outliers
18
KNN imputation fills a missing value using
Athe values of the nearest neighbouring records
Ba random number
Cthe maximum value
Dzero always
Correct Answer the values of the nearest neighbouring records
19
The three levels of data models are
Aconceptual, logical and physical
Bsimple, medium and hard
Cinput, process and output
Dsmall, large and huge
Correct Answer conceptual, logical and physical
20
A relational database stores data in
Agraphs only
Bplain audio files
Ctables of rows and columns
Dimages only
Correct Answer tables of rows and columns
21
Which of the following is a NoSQL database?
AMySQL
BMongoDB
COracle
DPostgreSQL
Correct Answer MongoDB
22
SQL stands for
AStructured Query Language
BSimple Question Language
CStandard Quality Logic
DSequential Query List
Correct Answer Structured Query Language
23
The first phase of the CRISP-DM process is
Adeployment
Bbusiness understanding
Cmodeling
Devaluation
Correct Answer business understanding
24
Predictive modeling uses
Aonly current weather
Bonly random numbers
Chistorical data to forecast future outcomes
Dno data at all
Correct Answer historical data to forecast future outcomes
25
Which of the following is an application of modeling in business?
APredicting customer churn
BRepairing network cables
CInstalling an operating system
DDesigning a keyboard
Correct Answer Predicting customer churn

Fill in the Blanks

26 Analytics that explains 'what happened' is called __________ analytics.
Correct Answer descriptive
27 __________ analytics predicts what is likely to happen in the future.
Correct Answer Predictive
28 __________ analytics recommends the actions that should be taken.
Correct Answer Prescriptive
29 __________ is an open-source language widely used for statistical computing and graphics.
Correct Answer R
30 __________ is a Python library used for data manipulation and analysis.
Correct Answer pandas
31 A variable whose categories have no natural order is called a __________ variable.
Correct Answer nominal
32 Ratings such as low, medium and high are __________ variables.
Correct Answer ordinal
33 The __________ scale of measurement has a true zero point.
Correct Answer ratio
34 The variable that is being predicted is called the __________ variable.
Correct Answer dependent
35 A variable used to predict the outcome is called the __________ variable.
Correct Answer independent
36 SQL stands for Structured __________ Language.
Correct Answer Query
37 Replacing missing values with the average of the column is called __________ imputation.
Correct Answer mean
38 CRISP-DM stands for Cross-Industry __________ Process for Data Mining.
Correct Answer Standard
39 The number of customers is a __________ variable because it takes whole-number values.
Correct Answer discrete
40 Conceptual, logical and physical are the three levels of a data __________.
Correct Answer model
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