Students find these Class 9 AI MCQ Chapter 4 Data Literacy Class 9 MCQ Online Test with Answers helpful for self-assessment and preparation.
Class 9 AI Data Literacy MCQ
MCQ on Data Literacy Class 9
Class 9 Data Literacy MCQ – Data Literacy MCQ Class 9
Multiple Choice Questions
Question 1.
What is data literacy?
(a) The ability to sing and dance with data
(b) The ability to read, understand, create, and communicate data as information
(c) The ability to count numbers accurately
(d) The ability to speak multiple languages fluently
Answer:
(b) The ability to read, understand, create, and communicate data as information
Question 2.
What is the fundamental building block of information?
(a) Wisdom
(b) Knowledge
(c) Data
(d) Information
Answer:
(c) Data
Question 3.
What does the Data Pyramid represent?
(a) The hierarchy of ancient civilizations
(b) Different stages of working with data and transforming it into something meaningful
(c) A mathematical problem-solving technique
(d) A new model of storytelling
Answer:
(b) Different stages of working with data and transforming it into something meaningful
Question 4.
What is the top level of the Data Pyramid?
(a) Information
(b) Data
(c) Wisdom
(d) Knowledge
Answer:
(c) Wisdom
Question 5.
How can data literacy impact individuals?
(a) By making them forgetful
(b) By empowering them to analyze information and make informed decisions
(c) By limiting their creativity
(d) By reducing their critical thinking abilities
Answer:
(b) By empowering them to analyze information and make informed decisions
Question 6.
What advantage do businesses gain from data literacy?
(a) Increased confusion
(b) Decreased efficiency
(c) Improved innovation and competitive advantage
(d) Reduced customer satisfaction
Answer:
(c) Improved innovation and competitive advantage
Question 7.
Which skill is not involved in becoming data literate?
(a) Data collection and organization
(b) Basic statistics
(c) Data encryption
(d) Data visualization
Answer:
(c) Data encryption
Question 8.
What does data privacy refer to?
(a) The sharing of personal secrets
(b) The handling of personal information, including who can access it and how it’s used
(c) The government’s control over data
(d) The deletion of personal data
Answer:
(b) The handling of personal information, including who can access it and how it’s used
Question 9.
What does data security aim to protect against?
(a) Unwanted data collection
(b) Unauthorized access, corruption, or theft of digital information
(c) Data deletion
(d) Data miscommunication
Answer:
(b) Unauthorized access, corruption, or theft of digital information
Question 10.
What is a key aspect of data security?
(a) Transparency
(b) Integrity
(c) Accessibility
(d) Redundancy
Answer:
(b) Integrity
Question 11.
What is cyber security primarily concerned with protecting?
(a) Physical assets
(b) Digital information and systems
(c) Financial investments
(d) Environmental resources
Answer:
(b) Digital information and systems
Question 12.
How can individuals prevent malware attacks?
(a) By sharing passwords openly
(b) By clicking on all links in emails
(c) By using reputable antivirus software and being cautious of suspicious links
(d) By ignoring security updates
Answer:
(c) By using reputable antivirus software and being cautious of suspicious links
Question 13.
What is one advantage of data literacy mentioned in the content?
(a) Information overload
(b) Misleading data
(c) Smarter decisions
(d) Lack of tech savvy
Answer:
(c) Smarter decisions
Question 14.
In which field is data literacy not important?
(a) Business
(b) Education
(c) Fashion design
(d) Healthcare
Answer:
(c) Fashion design
Question 15.
What can data literacy empower individuals to do in their personal lives?
(a) Track finances and monitor health
(b) Become less responsible
(c) Rely solely on evidence for decision-making
(d) Ignore data completely
Answer:
(c) Rely solely on evidence for decision-making
Question 16.
What type of data is represented by words, sentences, or paragraphs?
(a) Discrete Data
(b) Continuous Data
(c) Textual Data
(d) Numerical Data
Answer:
(c) Textual Data
Question 17.
Which of the following is an example of discrete data?
(a) Temperature
(b) Height
(c) Number of books on a shelf
(d) Weight
Answer:
(c) Number of books on a shelf
Question 18.
Which domain of AI primarily uses text data for its tasks?
(a) Computer Vision (CV)
(b) Natural Language Processing (NLP)
(c) Statistical Data
(d) Reinforcement Learning
Answer:
(b) Natural Language Processing (NLP)
Question 19.
What is the purpose of data augmentation in Al?
(a) To delete unnecessary data
(b) To increase the diversity and quantity of training data
(c) To measure the accuracy of data
(d) To store data in a database
Answer:
(b) To increase the diversity and quantity of training data
Question 20.
Which method involves collecting data by observing people’s behaviour or the natural world?
(a) Surveys
(b) Interviews
(c) Experiments
(d) Observations
Answer:
(d) Observations
Question 21.
What type of data includes information like gender, favourite colour, and movie genre?
(a) Quantitative Data
(b) Numerical Data
(c) Discrete Data
(d) Qualitative Data
Answer:
(d) Qualitative Data
Question 22.
Which of the following is a primary source of data?
(a) Government publications
(b) Research reports
(c) Surveys
(d) Books and articles
Answer:
(c) Surveys
Question 23.
What is web scraping used for in data acquisition?
(a) To clean data
(b) To automate the process of gathering data from websites
(c) To structure data
(d) To generate synthetic data
Answer:
(b) To automate the process of gathering data from websites
Question 24.
Which factor determines how well data reflects real-world values?
(a) Structure
(b) Cleanliness
(c) Accuracy
(d) Format
Answer:
(c) Accuracy
Question 25.
In a machine learning model to predict house prices, what would be considered an independent feature?
(a) Sale price of the house
(b) Number of bedrooms
(c) Location
(d) Both (b) and (c)
Answer:
(d) Both (b) and (c)
Question 26.
What does data discovery involve in the context of data acquisition for Al models?
(a) Generating new data points
(b) Identifying and obtaining relevant datasets
(c) Augmenting existing data
(d) Cleaning and structuring data
Answer:
(b) Identifying and obtaining relevant datasets
Question 27.
Which of the following is NOT an example of quantitative data?
(a) Temperature
(b) Customer satisfaction
(c) Sales figures
(d) Shoe size
Answer:
(b) Customer satisfaction
Question 28.
What technique can create new versions of existing audio recordings by modifying parameters like pitch or speed?
(a) Data discovery
(b) Data cleaning
(c) Data generation
(d) Data augmentation
Answer:
(d) Data augmentation
Question 29.
Which type of data can take on any value within a given range and often arises from measurement?
(a) Discrete Data
(b) Continuous Data
(c) Textual Data
(d) Qualitative Data
Answer:
(b) Continuous Data
Question 30.
What is the primary goal of data used in the field of Computer Vision (CV)?
(a) To interpret and understand text data
(b) To extract meaningful information from images and videos
(c) To analyze numerical and categorical data
(d) To generate synthetic data
Answer:
(b) To extract meaningful information from images and videos
Question 31.
What is the primary objective of data processing?
(a) Converting raw data into usable information
(b) Collecting as much raw data as possible
(c) Storing raw data for future reference
(d) Filtering out irrelevant information
Answer:
(a) Converting raw data into usable information
Question 32.
Which step of the data processing cycle involves checking for errors, duplication, and missing data?
(a) Collection
(b) Preparation
(c) Input
(d) Data Processing
Answer:
(b) Preparation
Question 33.
What is the purpose of the “Input” step in the data processing cycle?
(a) To analyze the data using statistical methods
(b) To convert raw data into machine-readable form
(c) To filter out unnecessary data
(d) To present data in a readable format
Answer:
(c) To filter out unnecessary data
Question 34.
Which type of data interpretation focuses on understanding experiences, opinions, and reasons?
(a) Quantitative Interpretation
(b) Statistical Interpretation
(c) Qualitative Interpretation
(d) Correlation Interpretation
Answer:
(d) Correlation Interpretation
Question 35.
What is the main advantage of data visualization?
(a) Making complex data more difficult to understand
(b) Concealing trends and outliers in data
(c) Identifying biased or inaccurate information
(d) Presenting inforntation in a clearer and more understandable way
Answer:
(c) Identifying biased or inaccurate information
Question 36.
Which tool is commonly used for data visualization and business intelligence?
(a) Microsoft Word
(b) Adobe Photoshop
(c) Tableau
(d) Google Sheets
Answer:
(c) Tableau
Question 37.
What is the primary function of Tableau?
(a) Creating interactive charts and dashboards
(b) Editing videos
(c) Writing code
(d) Sending emails
Answer:
(a) Creating interactive charts and dashboards
Question 38.
How can Tableau be obtained for use?
(a) By purchasing it from a retail store
(b) By downloading it from the official website
(c) By subscribing to a streaming service
(d) By borrowing it from a friend
Answer:
(b) By downloading it from the official website
Statement Based Questions.
Question 1.
Statement 1 Data literacy involves the ability to read, understand, create, and communicate data as information.
Statement 2 Data literacy only refers to the skills needed to interpret numerical data.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect
Question 2.
Statement 1 The DIKW pyramid represents the stages of transforming data into information, knowledge, and wisdom.
Statement 2 In the data pyramid, knowledge is the second stage.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 3.
Statement 1 Data literacy helps individuals make more informed decisions in personal and professional life.
Statement 2 Data literacy only benefits businesses and has no impact on society.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(d) Statement 2 is correct but Statement 1 is incorrect
Question 4.
Statement 1 Data privacy refers to your right to control your personal information, including who can access it and how it’s used.
Statement 2 Data privacy is important for individuals, businesses and organizations.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 6.
Statement 1: Textual data consists of numbers.
Statement 2: Textual data can be categorized based on attributes or qualities.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(d) Statement 2 is correct but Statement 1 is incorrect
Question 7.
Statement 1: Data discovery involves creating new data points to simulate real-world data.
Statement 2: Data augmentation increases the diversity and quantity of training data without collecting new data.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(d) Statement 2 is correct but Statement 1 is incorrect
Question 8.
Statement 1: Web scraping involves defining the data to be collected and understanding the HTML structure of the target website.
Statement 2: The extracted data from web scraping cannot be saved in formats other than CSV.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(c) Statement 1 is correct but Statement 2 is incorrect
Question 9.
Statement 1: Primary data is collected firsthand by the researcher for the specific purpose of their study.
Statement 2: Surveys, interviews, experiments, and observations are common methods of collecting primary data.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Question 10.
Statement 1: Structure refers to how data is organized and stored, impacting its efficiency in storage and processing.
Statement 2: Clean data is free from duplicates, missing values, and outliers, ensuring its reliability and usefulness for analysis.
(a) Both Statement 1 and Statement 2 are correct
(b) Both Statement 1 and Statement 2 are incorrect
(c) Statement 1 is correct but Statement 2 is incorrect
(d) Statement 2 is correct but Statement 1 is incorrect
Answer:
(a) Both Statement 1 and Statement 2 are correct
Assertion & Reason Based Questions
Question 1.
Assertion Data literacy is crucial for individuals to make informed decisions.
Reason Data literacy Involves only the ability to read and write numerical data.
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
(c) Assertion is true, but Reason is false.
(d) Assertion is false, but Reason is true.
Answer:
(c) Assertion is true, but Reason is false.
Question 2.
Assertion The top level of the DIKW pyramid is wisdom.
Reason Wisdom in the DIKW pyramid is achieved by organizing and processing raw data into information.
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
(c) Assertion is true, but Reason is false.
(d) Assertion is false, but Reason is true.
Answer:
(c) Assertion is true, but Reason is false.
Question 3.
Assertion Data privacy helps to protect individuals’ personal information from unauthorized access. Reason Data privacy ensures that only authorized people can access, modify, and use personal data.
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
(b) Both Assertion and Reason are true, but Reason is not the correct explanation of Assertion.
(c) Assertion is true, but Reason is false.
(d) Assertion is false, but Reason is true.
Answer:
(a) Both Assertion and Reason are true, and Reason is the correct explanation of Assertion.
Question 5.
Assertion: Data processing is essential for organizations to create better business strategies and increase their competitive edge.
Reason: Data processing involves converting raw data into usable information through various steps like collection, preparation, input, and processing.
(a) Both assertion and reason are true, and the reason is the correct, explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.
Answer:
(a) Both assertion and reason are true, and the reason is the correct, explanation of the assertion.
Question 6.
Assertion: Data interpretation methods include qualitative and quantitative approaches.
Reason: Qualitative data interpretation focuses on non-numerical data, while quantitative data interpretation deals with numerical data.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.
Answer:
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
Question 7.
Assertion: Data visualization helps in making complex data understandable by presenting it in visual formats like charts and graphs.
Reason: Visualizations like charts, graphs, and maps present data in a way that’s easier to interpret, allowing for the identification of patterns and trends.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.
Answer:
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
Question 8.
Assertion: Tableau is a powerful tool for data visualization and business intelligence.
Reason: Tableau allows users to create interactive charts, graphs, maps, and dashboards to explore and understand data easily.
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
(b) Both assertion and reason are true, but the reason is not the correct explanation of the assertion.
(c) Assertion is true, but the reason is false.
(d) Assertion is false, but the reason is true.
Answer:
(a) Both assertion and reason are true, and the reason is the correct explanation of the assertion.
The post Data Literacy Class 9 AI MCQ Online Test appeared first on Learn CBSE.