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01. Introduction to Data Science Quiz

Total questions: 10

Worksheet time: 5mins

Name
Class
Date
1.

What does Descriptive Analytics help with?

a)

Diagnosing problems

b)

Prescribing actions

c)

Understanding past data

d)

Predicting future trends

2.

What is the first step in the Data Science Methodology?

a)

Data Collection

b)

Business Understanding

c)

Modeling

d)

Data Preparation

3.

Which role is primarily responsible for building data pipelines?

a)

Business Analyst

b)

Domain Expert

c)

Data Engineer

d)

Data Scientist

4.

What is the focus of Predictive Analytics?

a)

Analyzing historical data

b)

Understanding current data

c)

Forecasting future outcomes

d)

Providing recommendations

5.

Which of the following is an example of Prescriptive Analytics?

a)

Identifying customer segments

b)

Analyzing sales data from last year

c)

Forecasting next quarter's sales

d)

Recommending marketing strategies

6.

Which of the following are activities typically carried out by a Data Scientist?

a)

Cleaning and preparing data

b)

Ensuring the scalability of Data Warehouses and Data Pipelines

c)

Evaluating statistical models

d)

Building Machine Learning models

e)

Presenting insights using PowerPoint and Tableau

7.

What is a "programming language"?

a)

Everyday human language that is directly understood by computers

b)

A language that can be translated into machine language by a compiler or interpreter

c)

A collection of binary digits (0s and 1s) used by the CPU

d)

An application like Google Translate that converts human language

8.

What is the disadvantage of an Interpreted Language compared to a Compiled Language?

a)

The process of starting the program takes longer

b)

It cannot be used to build web applications

c)

The program runs slower during execution because each line must be checked and translated first

d)

It cannot detect errors in the program code

9.

In an Interpreted Language, if an error occurs on line 6, lines 1 through 5 will still run normally before execution stops

a)

True

b)

False

10.

What is the primary purpose of Data Visualization?

a)

To clean and prepare data

b)

To present data in a graphical format

c)

To store data efficiently

d)

To analyze data statistically