Practice QnA consisting 50+ practice questions on Data Science for class 10 including, MCQ, Type Questions for Board Exams CBSE 2024
Board | CBSE |
Textbook | Code 417 |
Class | 10 |
Chapter | 4 |
Chapter Name | Data Science Class 10 |
Number of Questions Solved | 50 |
► Data Science Class 10 MCQ Questions
What was one of the earliest applications of data science?
- Genetics & Genomics
- Internet Search
- Fraud and Risk Detection
- Targeted Advertising
Answer
Which industry uses data science to predict flight delays and drive customer loyalty programs?
- Genetics & Genomics
- Internet Search
- Fraud and Risk Detection
- Airline Route Planning
Answer
Which search engine(s) make use of data science algorithms to deliver search results?
- Yahoo
- Bing
- All of the above
Answer
What is the purpose of website recommendations?
- To improve user experience
- To promote products
- To suggest similar products
- All of the above
Answer
Which field does data science enable an advanced level of treatment personalization through research in?
- Genetics & Genomics
- Internet Search
- Fraud and Risk Detection
- Airline Route Planning
Answer
Which industry uses data science algorithms to decide on digital advertising placements?
- Genetics & Genomics
- Internet Search
- Targeted Advertising
- Airline Route Planning
Answer
What is the main goal of data science applications in genetics and genomics?
- To understand the impact of DNA on health
- To find individual biological connections
- To analyze reactions to drugs and diseases
- All of the above
Answer
Which industry uses data science to analyze customer profiling and past expenditures?
- Genetics & Genomics
- Fraud and Risk Detection
- Internet Search
- Airline Route Planning
Answer
Which companies use data science to improve user experience through product recommendations?
- Amazon, Twitter, Google Play, Netflix, LinkedIn, IMDB
- Yahoo, Bing, Ask, AOL
- All of the above
- None of the above
Answer
What is the main purpose of data science?
- To analyze data and make machines intelligent
- To collect and store data for future use
- To create new fields of study in science
- To predict future trends based on historical data
Answer
Data science involves analyzing data to extract knowledge and insights. These insights can then be used in various applications, including making machines intelligent through machine learning and artificial intelligence.
While the other options involve aspects of data science, option A most accurately captures its main purpose.
In which industry were the earliest applications of data science seen?
- Technology
- Healthcare
- Finance
- Agriculture
Answer
The finance industry had a lot of data and faced challenges such as losses and complications. They brought in data science practices to help solve their problems.
How did data science help banking companies in managing risk?
- By collecting customer profiles and past expenditures
- By creating new banking products
- By providing loans to customers with high purchasing power
- By reducing bad debts and losses
Answer
Banks use data science to manage various types of risks, such as credit risk, market risk, and operational risk
What does genetics and genomics research aim to understand?
Answer
Genetics and genomics research aims to understand:
- The impact of DNA on our health
- The impact of environment on our health
- The relationship between genes and diseases only
- The relationship between genes, diseases, and drug response
Genetics and genomics research is a vast field that aims to understand the impact of our DNA (genes) on our health, the relationship between genes and diseases, and how these relationships influence our response to drugs. While it does consider the impact of the environment on our health, its primary focus is on our genetic makeup. So, while all the options are related to genetics and genomics research, option D most accurately captures its main aim.
How does data science contribute to disease research?
Answer
Data science plays a crucial role in disease research. It not only provides a deeper understanding of genetic issues in drug response but also allows for the integration of different kinds of data with genomic data.
This integration helps in personalizing treatments based on individual genetics. So, all the options are correct, making option D the most accurate answer.
Which search engine(s) make use of data science algorithms?
Answer
How does targeted advertising differ from traditional advertising?
- It uses data science algorithms to deliver personalized ads.
- It relies on user’s past behavior to determine ad placement.
- It has a higher Call-Through Rate (CTR).
- All of the above.
Answer
Targeted advertising is a method of placing ads based on demographics, consumers’ previous buying history or preferences.
It uses data science algorithms to analyze user behavior and deliver personalized ads, which results in a higher Call-Through Rate (CTR). So, all the options are correct, making option D the most accurate answer.
Which companies use website recommendations to improve user experience?
- Amazon, Twitter, and Google Play
- Netflix, LinkedIn, and IMDB
- All of the above
- None of the above
Answer
What can airline companies do with the help of data science?
- Predict flight delays
- Determine which class of airplanes to buy
- Decide whether to take a halt during a flight
- All of the above
Answer
1From the given options, which statement accurately describes data science?
- Data science is a new field that solely focuses on analyzing data.
- Data science is used only in AI applications.
- Data science helps in making machines intelligent by analyzing data.
- Data science has no major applications in today’s world.
Answer
While it’s true that data science involves analyzing data, it’s not accurate to say that this is its sole focus, Data science is a multidisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data.
It is used in many applications, not just AI, and it certainly has major applications in today’s world. So options a), b), and d) are not accurate.
How did data science help banking companies reduce losses?
- By collecting customer profiles and past expenditures
- By dividing and analyzing customer data variables
- By pushing banking products based on customer purchasing power
- All of the above
Answer
Data science has played a crucial role in helping banking companies reduce losses. It has done this by collecting customer profiles and past expenditures, dividing and analyzing customer data variables, and pushing banking products based on customer purchasing power.
So, all the options are correct, making option D the most accurate answer.
What is the main goal of genetics and genomics research?
- To understand the impact of DNA on our health only
- To acquire reliable personal genome data
- To find individual biological connections between genetics, diseases, and drug response
- All of the Above
Answer
Option a could be correct if it was not mentioned ONLY in that
Genetics and genomics research aims to understand the complex relationship between our genes (DNA), diseases we might be predisposed to, and how we might respond to certain drugs.
This field of study seeks to find individual biological connections between these factors, which can lead to personalized medicine and treatments. So, option C is the most accurate answer.
What makes targeted advertising more effective than traditional advertising?
- It uses data science algorithms to deliver personalized ads.
- It relies on user’s past behavior to determine ad placement.
- It has a higher Call-Through Rate (CTR).
- All of the above
Answer
Targeted advertising is more effective than traditional advertising because it uses data science algorithms to deliver personalized ads, relies on the user’s past behavior to determine ad placement, and has a higher Call-Through Rate (CTR). So, all the options are correct, making option D the most accurate answer.
Which companies use website recommendations to enhance user experience?
- Amazon
- Netflix
- All of the above
Answer
How airline companies are not likely to use data science in their operations?
- By predicting flight delays
- By deciding which class of airplanes to buy
- By effectively driving customer loyalty programs
- Rescue them from losses bad debts.
Answer
What is one benefit of using data science in finance?
- It helps in reducing bad debts and losses.
- It allows companies to collect more data for future use.
- It improves customer service in banking industry.
- It enables companies to offer heavy discounts to customers.
Answer
What role data science do not play in internet search engines?
- It helps search engines deliver the best results for user queries quickly.
- It allows search engines to process large amounts of data daily.
- Writing mails to improve customer trust.
- It enables search engines to personalize search results based on user behavior.
Answer
Which industry faces heavy losses and uses data science for improvements?
- Technology
- Healthcare
- Finance
- Agriculture
Answer
What is data collection?
- A new concept introduced in our society
- A tedious process that requires technological knowledge
- An exercise that does not require technological knowledge
- An exercise that involves analyzing numbers and alpha-numerical data
Answer
Data collection is an exercise which does not require even a tiny bit of technological knowledge.
But when it comes to analysing the data, it becomes a tedious process for humans as it is all about numbers and alpha-numerical data. That is where Data Science comes into the picture.
What does Data Science do?
- Provides a clearer idea around the dataset
- Maintains records in institutions
- Incorporates AI into the data analysis process
- Generates predictions and suggestions by machines
Answer
It not only gives us a clearer idea around the dataset, but also adds value to it by providing deeper and clearer analyses around it. And as AI gets incorporated in the process, predictions and suggestions by the machine become possible on the same
Which type of data is commonly used in data domain-based projects?
- Textual data
- Graphical data
- Numerical or alpha-numerical data
- Audio-visual data
Answer
Examples of Common datasets include all of the following except:
- Databases of loans issued, account holder, locker owners, employee registrations, bank visitors, etc.
- Usage details per day, cash denominations transaction details, visitor details, etc.
- Movie details, tickets sold offline, tickets sold online, refreshment purchases, etc.
- Bunkers of International armies, Secret Space Missions ,Satellite Missions etc
Answer
What kind of databases are commonly found in banks?
- Databases related to movie details
- Databases related to Salary of Teachers
- Databases related to employee registrations
- Databases related to locker owners
Answer
What are the two ways in which data collection can be categorized?
- Sensory and non-sensory collection methods
- Offline and online data collection methods
- Government and private sector collection methods
- Primary and secondary sources of data collection
Answer
Which of the following is an example of an offline source of data collection mentioned in the text?
- Sensors
- Open-sourced Government Portals
- Reliable Websites (Kaggle)
- World Organisations’ open-sourced statistical Observations websites
Answer
What should be kept in mind while accessing data from any data source?
- Personal datasets can be used without the owner’s consent
- Privacy breaches are acceptable for data collection
- Data should only be taken from reliable sources
- Data collected from random sources is always accurate
Answer
What is the purpose of using reliable sources of data?
- To ensure the authenticity of data for proper training of the AI model
- To collect personal datasets without consent
- To breach someone’s privacy for data collection purposes
- To access confidential information for programming purposes
Answer
1In which format are tabular datasets commonly stored in Data Science?
- CSV
- Spreadsheet
- SQL
- All of the above
Answer
What does CSV stand for?
- Comma separated values
- Computer spreadsheet values
- Centralized storage volumes
- Compressed structured variables
Answer
Which programming language is designed for managing data held in different kinds of DBMS?
- Python
- SQL
- Java
- C++
Answer
What is a Spreadsheet?
- A file format used to store tabular data
- A piece of paper or computer program used for recording and accounting data
- A programming language used for managing databases
- An online portal to access government statistics
Answer
Which Python package helps in accessing structured data (in tabular form)?
- CSV Reader
- Spreadsheet Parser
- SQL Integrator
- Pandas
Answer
What should you do before using these questions for assessment purposes?
- See the questions, and assure you feel good.
- Modify the questions as per your requirements.
- Use them as they are, without any changes.
- Consult with other teachers for their opinion.
Answer
Which of the following is NOT a guideline for data collection mentioned in the text?
- Use personal datasets without consent.
- Never breach someone’s privacy to collect data.
- Take data from reliable sources.
- Use data available for public usage only.
Answer
What is the main focus of Data Science?
- Collecting data from various sources
- Analyzing and interpreting collected data
- Developing databases for record maintenance
- Just Implementing artificial intelligence in data analysis
Answer
How does AI contribute to the field of Data Science?
- It makes data collection easier and faster.
- It provides predictions and suggestions based on collected data.
- It eliminates the need for human involvement in analyzing data.
- It enhances technological knowledge for data collection.
Answer
Why should personal datasets only be used with the consent of the owner?
- To ensure accurate analysis and interpretation of the data
- To get better data when taken consent
- To maintain a fair balance between public and private information
- To prevent unauthorized access to personal information