Explore topic-wise InterviewSolutions in .

This section includes InterviewSolutions, each offering curated multiple-choice questions to sharpen your knowledge and support exam preparation. Choose a topic below to get started.

1.

Which of the following analysis helps out to find the effect of variable change?(a) Inferential(b) Exploratory(c) Causal(d) None of the mentionedThe question was asked in a national level competition.I want to ask this question from Types of Questions topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right OPTION is (c) Causal

Easiest explanation - Causal Analysis PROVIDES the REAL reason why things happen and hence ALLOWS focused change ACTIVITY.
Discussion
2.

Point out the wrong statement.(a) Command is the CLI command which does a specific task(b) There is one and only flag for every command in CLI(c) Flags are the options given to command for activating particular behaviour(d) All of the mentionedThis question was posed to me during an interview.The origin of the question is CLI and Git Workflow topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct CHOICE is (B) There is ONE and only flag for EVERY command in CLI

To explain: Depending on the command, there can be zero or more flags and arguments.
Discussion
3.

How many principles of analytical graphs exist?(a) 3(b) 4(c) 6(d) None of the mentionedI have been asked this question in a national level competition.Query is from ToolBox Overview in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right OPTION is (c) 6

For EXPLANATION: Six PRINCIPLES of Analytical Graphs are useful for DATA ANALYSIS.
Discussion
4.

Which of the following is one of the key data science skills?(a) Statistics(b) Machine Learning(c) Data Visualization(d) All of the mentionedI got this question in an interview.This is a very interesting question from Basics of Data Science topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer» CORRECT answer is (d) All of the mentioned

Explanation: Data VISUALIZATION is the PRESENTATION of data in a pictorial or GRAPHICAL format.
Discussion
5.

Which of the following would be more appropriate to be replaced with question mark in the following figure?(a) Data Analysis(b) Data Science(c) Descriptive Analytics(d) None of the mentionedI got this question during an online interview.I would like to ask this question from Basics of Data Science in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct answer is (B) Data Science

Best explanation: Data Science is a MULTIDISCIPLINARY which involves extraction of KNOWLEDGE from large volumes of data that are structured or UNSTRUCTURED.
Discussion
6.

Point out the wrong statement.(a) The big volume indeed represents Big Data(b) The data growth and social media explosion have changed how we look at the data(c) Big Data is just about lots of data(d) All of the mentionedI got this question during a job interview.I would like to ask this question from Big Data topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct choice is (C) Big DATA is just about LOTS of data

To explain I would say: Big Data is actually a concept providing an opportunity to find NEW insight into your EXISTING data as well guidelines to capture and analysis your future data.
Discussion
7.

Point out the correct statement.(a) Machine learning focuses on prediction, based on known properties learned from the training data(b) Data Cleaning focuses on prediction, based on known properties learned from the training data(c) 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(d) None of the mentionedI got this question at a job interview.My enquiry is from Big Data topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The CORRECT choice is (d) None of the mentioned

The explanation is: Visualization is becoming a very IMPORTANT ASPECT.
Discussion
8.

Which of the following is the common goal of statistical modelling?(a) Inference(b) Summarizing(c) Subsetting(d) None of the mentionedI have been asked this question in class test.My question is from Types of Questions topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct answer is (a) Inference

The best explanation: Inference is the act or PROCESS of deriving LOGICAL conclusions from PREMISES known or ASSUMED to be TRUE.
Discussion
9.

Which of the following principle is incorrectly represented in the below figure?(a) Show Comparisons(b) Integrate Evidence(c) Describe Evidence(d) None of the mentionedThe question was asked by my college professor while I was bunking the class.Origin of the question is ToolBox Overview in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right option is (d) None of the mentioned

Explanation: Principles of Analytical graphs are SEQUENTIALLY shown in the STEPWISE MANNER.
Discussion
10.

Which of the following is characteristic of Processed Data?(a) Data is not ready for analysis(b) All steps should be noted(c) Hard to use for data analysis(d) None of the mentionedThis question was addressed to me by my school teacher while I was bunking the class.This question is from Basics of Data Science in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right option is (B) All STEPS should be noted

Easiest EXPLANATION - PROCESSING includes merging, SUMMARIZING and subsetting data.
Discussion
11.

Which of the following design term is perfectly applicable to the below figure?(a) Correlation(b) Confounding(c) Causation(d) None of the mentionedI got this question in semester exam.My doubt stems from Analysis and Experimental Design topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct answer is (b) CONFOUNDING

The explanation is: Confounding can be DEALT with either at the study design STAGE, or at the analysis stage.
Discussion
12.

Which of the following command help us to give message description?(a) git command -m(b) git command -d(c) git command -message(d) none of the mentionedThe question was posed to me in exam.My doubt stems from Types of Questions topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer» CORRECT ANSWER is (a) git COMMAND -m

Easiest EXPLANATION - This only updates your local repository.
Discussion
13.

Which of the following command is used to give a message description?(a) git command -m(b) git command -d(c) git command -message(d) none of the mentionedThe question was asked during a job interview.My doubt stems from CLI and Git Workflow in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct choice is (a) GIT COMMAND -m

To EXPLAIN: This only UPDATES your LOCAL repository.
Discussion
14.

Data Products shown in the below figure is built using which programming language?(a) S(b) Python(c) R(d) JavaThis question was addressed to me in unit test.This interesting question is from ToolBox Overview in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct answer is (C) R

Easiest EXPLANATION - Products mentioned in the FIGURE are web application frameworks written in R.
Discussion
15.

Which of the following analysis are incredibly hard to infer?(a) Inferential(b) Exploratory(c) Causal(d) MechanisticThe question was asked during an interview.Query is from Types of Questions topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT choice is (d) Mechanistic

The EXPLANATION is: Mechanistic ANALYSIS are hard to infer except for simple simulations.
Discussion
16.

Which of the following model is usually a gold standard for data analysis?(a) Inferential(b) Descriptive(c) Causal(d) All of the mentionedI had been asked this question during an interview.The doubt is from Types of Questions topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct OPTION is (c) CAUSAL

Explanation: A causal model is an abstract model that DESCRIBES the causal mechanisms of a SYSTEM.
Discussion
17.

Which of the following allows you to find the relationship you didn’t about?(a) Inferential(b) Exploratory(c) Causal(d) None of the mentionedI got this question in examination.Origin of the question is Types of Questions in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct option is (b) Exploratory

To explain I WOULD SAY: In statistics, exploratory data analysis is an APPROACH to ANALYZING data sets to SUMMARIZE their main characteristics, often with visual methods.
Discussion
18.

Point out the wrong statement.(a) You need GitHub to use Git(b) GitHub allows you to share repositories with others(c) GitHub allows you to access others repositories(d) All of the mentionedThe question was asked in final exam.I need to ask this question from CLI and Git Workflow topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right CHOICE is (a) You NEED GitHub to use Git

The BEST explanation: GitHub can store a remote copy of your REPOSITORY.
Discussion
19.

Which of the following command updates tracking for files that are modified?(a) git add .(b) git add -u(c) git add -A(d) none of the mentionedThis question was addressed to me in a job interview.This intriguing question comes from CLI and Git Workflow topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct option is (b) GIT add -u

The explanation is: The git add COMMAND adds a CHANGE in the working directory to the staging area.
Discussion
20.

Which of the following web hosting service use Git control system?(a) GitHub(b) Open Hash(c) Git Bash(d) None of the mentionedThis question was addressed to me in a job interview.Question is from CLI and Git Workflow in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT choice is (a) GitHub

Best explanation: GitHub is a Web-based Git repository hosting service, which OFFERS all of the distributed REVISION control and source CODE management (SCM) functionality of Git.
Discussion
21.

Which of the following is not a step in data analysis?(a) Obtain the data(b) Clean the data(c) EDA(d) None of the mentionedI had been asked this question by my college professor while I was bunking the class.I need to ask this question from ToolBox Overview topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer» CORRECT OPTION is (d) None of the mentioned

The best explanation: EDA stands for EXPLORATORY Data Analysis.
Discussion
22.

Which of the following is performed by Data Scientist?(a) Define the question(b) Create reproducible code(c) Challenge results(d) All of the mentionedThe question was posed to me in exam.I would like to ask this question from Basics of Data Science topic in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct answer is (d) All of the mentioned

To explain I would say: A data scientist is a JOB title for an EMPLOYEE or business intelligence (BI) CONSULTANT who excels at analyzing data, PARTICULARLY large amounts of data.
Discussion
23.

Which of the following adds all new files to local repository?(a) git add .(b) git add -u(c) git add -A(d) none of the mentionedI got this question at a job interview.Asked question is from CLI and Git Workflow in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer» CORRECT CHOICE is (a) GIT add .

Easy explanation - You should do this before COMMITTING.
Discussion
24.

Point out the correct statement.(a) Raw data is original source of data(b) Preprocessed data is original source of data(c) Raw data is the data obtained after processing steps(d) None of the mentionedThe question was posed to me in quiz.This key question is from Basics of Data Science topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct answer is (a) Raw data is original source of data

To explain: Accounting PROGRAMS are PROTOTYPICAL EXAMPLES of data PROCESSING APPLICATIONS.
Discussion
25.

Which of the following characteristic of big data is relatively more concerned to data science?(a) Velocity(b) Variety(c) Volume(d) None of the mentionedThe question was asked during an interview for a job.Asked question is from Big Data in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right CHOICE is (b) Variety

The best I can EXPLAIN: BIG data enables organizations to store, manage, and manipulate VAST amounts of disparate data at the right speed and at the right time.
Discussion
26.

Which of the following systems record changes to a file over time?(a) Record Control(b) Version Control(c) Forecast Control(d) None of the mentionedI got this question during an online interview.The question is from CLI and Git Workflow in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT choice is (B) Version CONTROL

Best EXPLANATION: Version control is ALSO known as revision control.
Discussion
27.

Which of the following is not a CLI command?(a) delete(b) rm(c) clear(d) none of the mentionedI have been asked this question in unit test.My question is from CLI and Git Workflow topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right CHOICE is (a) delete

Best EXPLANATION: rm can be used to remove FILES and DIRECTORIES.
Discussion
28.

Point out the wrong statement.(a) Merging concerns combining datasets on the same observations to produce a result with more variables(b) Data visualization is the organization of information according to preset specifications(c) Subsetting can be used to select and exclude variables and observations(d) All of the mentionedThe question was posed to me during an online exam.The query is from Basics of Data Science in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT answer is (b) DATA visualization is the ORGANIZATION of information according to preset SPECIFICATIONS

To explain: Data FORMATTING is the organization of information according to preset specifications.
Discussion
29.

3V’s are not sufficient to describe big data.(a) True(b) FalseI have been asked this question at a job interview.This interesting question is from Big Data in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct answer is (a) True

Easy EXPLANATION - IBM DATA scientists break big data into FOUR DIMENSIONS: volume, variety, VELOCITY and veracity.
Discussion
30.

Which of the following step is performed by data scientist after acquiring the data?(a) Data Cleansing(b) Data Integration(c) Data Replication(d) All of the mentionedThe question was asked in exam.My query is from Big Data in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The CORRECT answer is (a) Data Cleansing

Easiest explanation - Data cleansing, data cleaning or data scrubbing is the PROCESS of detecting and correcting (or removing) corrupt or INACCURATE records from a record SET, table, or database.
Discussion
31.

Which of the following technique is also referred to as Bagging?(a) Bootstrap aggregating(b) Bootstrap subsetting(c) Bootstrap predicting(d) All of the mentionedI have been asked this question in an internship interview.I'd like to ask this question from ToolBox Overview topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The correct option is (a) Bootstrap aggregating

The BEST EXPLANATION: Bagging is USED in statistical CLASSIFICATION and REGRESSION.
Discussion
32.

Which of the following technique comes under practical machine learning?(a) Bagging(b) Boosting(c) Forecasting(d) None of the mentionedI had been asked this question in an internship interview.The above asked question is from ToolBox Overview topic in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer» CORRECT answer is (B) Boosting

Explanation: Boosting is an APPROACH to MACHINE learning based on the IDEA of creating a highly accurate predictor.
Discussion
33.

Point out the wrong statement.(a) Simple linear regression is equipped to handle more than one predictor(b) Compound linear regression is not equipped to handle more than one predictor(c) Linear regression consists of finding the best-fitting straight line through the points(d) All of the mentionedThe question was asked during a job interview.Question is taken from ToolBox Overview topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right OPTION is (a) SIMPLE LINEAR regression is equipped to handle more than one predictor

Easy explanation - Simple linear regression is equipped to handle more than one predictor.
Discussion
34.

Which of the following uses relatively small amount of data to estimate about bigger population?(a) Inferential(b) Exploratory(c) Causal(d) None of the mentionedI had been asked this question by my college director while I was bunking the class.I need to ask this question from Types of Questions topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct answer is (a) Inferential

Explanation: Inferential statistics is CONCERNED with making predictions or INFERENCES about a POPULATION from observations and ANALYSES of a sample.
Discussion
35.

Which of the following is the most important language for Data Science?(a) Java(b) Ruby(c) R(d) None of the mentionedThis question was addressed to me in an interview for internship.The doubt is from Basics of Data Science topic in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct ANSWER is (c) R

The EXPLANATION: R is free SOFTWARE for statistical computing and analysis.
Discussion
36.

Which of the following is a good way of performing experiments in data science?(a) Measure variability(b) Generalize to the problem(c) Have Replication(d) All of the mentionedThe question was posed to me in unit test.This is a very interesting question from Analysis and Experimental Design in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer» CORRECT ANSWER is (d) All of the mentioned

Explanation: EXPERIMENTS on causal relationships investigate the EFFECT of one or more VARIABLES on one or more outcome variables.
Discussion
37.

Point out the wrong statement.(a) Randomized studies are not used to identify causation(b) Complication approached exist for inferring causation(c) Causal relationships may not apply to every individual(d) All of the mentionedThe question was asked in homework.This intriguing question originated from Analysis and Experimental Design topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT choice is (a) RANDOMIZED studies are not used to identify CAUSATION

The EXPLANATION: Randomized studies are usually used to identify causation.
Discussion
38.

Point out the correct statement.(a) If equations are known but the parameters are not, they may be inferred with data analysis(b) If equations are not known but the parameters are, they may be inferred with data analysis(c) If equations and parameter are not, they may be inferred with data analysis(d) None of the mentionedThis question was posed to me in class test.I would like to ask this question from Analysis and Experimental Design in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct choice is (a) If equations are KNOWN but the parameters are not, they MAY be inferred with data analysis

The best explanation: Usually the random component of data is MEASUREMENT ERROR.
Discussion
39.

Which of the following language should be replaced with the question mark in the below figure?(a) Java(b) PHP(c) COBOL(d) None of the mentionedI got this question in an international level competition.The query is from Big Data in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT option is (a) JAVA

For EXPLANATION: Java is USED for processing data in Big data Analytics.
Discussion
40.

Which of the following command is used to squash the commits?(a) rebase(b) squash(c) boot(d) all of the mentionedI got this question in quiz.Question is taken from CLI and Git Workflow topic in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct choice is (a) REBASE

To explain I WOULD SAY: In Git, there are two main ways to integrate changes from one branch into ANOTHER: the merge and the rebase.
Discussion
41.

Which of the following command allows you to change directory to one level above your parent directory?(a) cd(b) cd.(c) cd..(d) none of the mentionedI got this question in an international level competition.My question is taken from CLI and Git Workflow topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT choice is (c) cd..

The BEST I can EXPLAIN: cd STANDS for change directory.
Discussion
42.

Which of the following approach should be used to ask Data Analysis question?(a) Find only one solution for particular problem(b) Find out the question which is to be answered(c) Find out answer from dataset without asking question(d) None of the mentionedI had been asked this question in exam.The query is from Basics of Data Science in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer» RIGHT ANSWER is (b) Find out the question which is to be answered

The explanation: DATA analysis has MULTIPLE facets and APPROACHES.
Discussion
43.

Point out the correct statement.(a) Exploratory analyses are not usually the final way(b) Inferential models are useful for discovering new connection(c) Inference involves estimating uncertainty(d) All of the mentionedI had been asked this question during a job interview.This intriguing question originated from Types of Questions topic in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right choice is (c) Inference involves ESTIMATING uncertainty

For EXPLANATION: Statistical inference is the process of deducing properties of an underlying distribution by ANALYSIS of DATA.
Discussion
44.

Which of the following type of data science question is missing in the figure?(a) Correlative(b) Exploratory(c) Relative(d) None of the mentionedThe question was asked in my homework.This key question is from Types of Questions topic in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The CORRECT option is (b) EXPLORATORY

Best EXPLANATION: Exploratory analysis is used to FIND relationships about you didn’t KNOW about.
Discussion
45.

Point out the correct statement.(a) You don’t need GitHub to use Git(b) CLI can help you to organize files and folders(c) Navigation of directory is possible using CLI(d) None of the mentionedThe question was asked in quiz.My query is from CLI and Git Workflow in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct CHOICE is (B) CLI can help you to ORGANIZE files and folders

To EXPLAIN I would say: CLI stands for Command LINE Interface.
Discussion
46.

Which of the following approach should be used if you can’t fix the variable?(a) randomize it(b) non stratify it(c) generalize it(d) none of the mentionedThe question was asked during an online interview.The doubt is from Analysis and Experimental Design in portion Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct answer is (a) RANDOMIZE it

The EXPLANATION is: If you can’t FIX the VARIABLE, stratify it.
Discussion
47.

Which of the following is the top most important thing in data science?(a) answer(b) question(c) data(d) none of the mentionedI had been asked this question in an international level competition.Enquiry is from Analysis and Experimental Design in division Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right OPTION is (B) question

Explanation: The SECOND most IMPORTANT is the DATA.
Discussion
48.

Accurate prediction depends heavily on measuring the right variables.(a) True(b) FalseThis question was posed to me in an online interview.I would like to ask this question from Types of Questions topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

The CORRECT CHOICE is (a) True

Explanation: PREDICTION is very hard, ESPECIALLY for future references.
Discussion
49.

Which of the following analysis should come in place of question mark in the below figure?(a) Inferential(b) Exploratory(c) Causal(d) None of the mentionedThe question was asked in unit test.I'm obligated to ask this question of Types of Questions in chapter Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Right choice is (a) Inferential

Easy EXPLANATION - Inferential STATISTICS is concerned with making PREDICTIONS or INFERENCES about a population from observations and analyses of a sample.
Discussion
50.

Which of the following principle characteristic is odd man out in the below figure?(a) Principle 1(b) Principle 2(c) Principle 3(d) Principle 4The question was asked in an internship interview.My doubt is from Types of Questions topic in section Data Science Basics and Data Scientist Toolbox of Data Science

Answer»

Correct CHOICE is (c) PRINCIPLE 3

The best I can explain: MULTIVARIATE Data is the only characteristic related to Principle 3.
Discussion