Statistical Data MCQs - Class 10 AI (417)

Statistical Data MCQs for Class 10 given here are based on the CBSE new syllabus to help students practice the latest questions for their board exams and stay stress-free.

So..Let’s dive straight into the MCQs and start practicing! 📝💯

Q1. Artificial Intelligence completely depends on ______ that is fed into the machine to make it intelligent.
a) Hardware
b) Data
c) Programming language only
d) Internet speed

Q2. According to the content, AI can be broadly classified into which three domains based on the type of data?
a) Robotics, Coding and Networking
b) Data Science, Computer Vision and Natural Language Processing
c) Hardware, Software and Internet
d) Machine Learning, Python and Statistics

Q3. Data Science brings together statistics, data analysis and machine learning primarily to:
a) Develop computer hardware
b) Understand and analyse actual phenomena using data
c) Replace all programming languages
d) Create only websites

Q4. Google’s search algorithms process approximately how much data every day, as per the content?
a) 2 petabytes
b) 20 petabytes
c) 200 petabytes
d) 20 terabytes

Q5. A company displays advertisements based on a customer’s previous online behaviour. This is an example of:
a) Data visualization
b) Targeted advertising
c) Custom coding
d) Data deletion

Q6. Product suggestions based on a user’s previous searches are an example of:
a) Website recommendations
b) Manual coding
c) Security testing
d) Automation bias

Q7. CTR in the context of digital advertising stands for:
a) Central Traffic Rate
b) Click-Through Rate
c) Customer Trust Rating
d) Content Transfer Ratio

Q8. Which application of Data Science enables advanced treatment personalization by integrating genomic data with disease research?
a) Targeted Advertising
b) Internet Search
c) Genetics & Genomics
d) Website Recommendations

Q9. Custom code development is also known as:
a) Low code
b) No code
c) High code
d) Visual code

Q10. In which type of development do programmers write all the code manually using languages like Java, Python, C#?
a) No code
b) Low code
c) High code
d) Hybrid code

Q11. Which of the following languages is mentioned as an example for high-code development?
a) Java
b) HTML only
c) Scratch only
d) Orange

Q12. Low code development involves:
a) Writing all code manually
b) Using visual interfaces and pre-built components with some manual coding
c) No coding at all
d) Only image-based programming

Q13. Which statement best describes No-Code development?
a) Users must have advanced programming knowledge
b) Users create applications without coding or scripting knowledge
c) Developers write all code manually
d) Only experts can use it

Q14. In which approach does a programmer generally need to write some code manually?
a) High code only
b) Low code
c) No code
d) None of these

Q15. Which approach generally does not require coding knowledge and can therefore be used by non-programmers?
a) High code
b) No code
c) Assembly language
d) Custom coding

Q16. Which approach provides the greatest level of customization according to the content?
a) High code
b) No code
c) Drag-and-drop only
d) Teachable Machine only

Q17. A major limitation of No-Code tools is that:
a) They always require expert programmers
b) They provide unlimited customization
c) They are limited to functions available in the tool
d) They cannot use visual interfaces

Q18. The drag-and-drop feature is especially associated with:
a) No-Code approach
b) High-Code approach only
c) Manual assembly coding
d) Hardware development

Q19. One important reason for using No-Code AI is that it:
a) Creates more coding errors
b) Eliminates the need to write code and hence avoids code errors
c) Requires more AI staff
d) Makes applications more expensive

Q20. No-Code AI helps businesses primarily by:
a) Increasing implementation cost
b) Saving cost as it avoids expensive fully coded AI systems
c) Making AI development slower
d) Requiring dedicated AI infrastructure teams

Q21. Which feature allows users to see what they are building in real time?
a) Encryption
b) Visual and drag-and-drop interface
c) Assembly programming
d) Manual debugging

Q22. No-Code AI makes AI more accessible primarily to:
a) Only professional programmers
b) Only software companies
c) The general public and non-technical users
d) Only hardware engineers

Q23. Which of these is NOT listed as a benefit of No-Code tools?
a) Accessibility
b) Fast development
c) Ease of use
d) Increased coding errors

Q24. The “Accessibility” benefit of No-Code tools refers to:
a) Empowering non-technical makers to build solutions without programming
b) Making tools accessible only to programmers
c) Restricting access to enterprise users
d) Providing accessibility only for mobile devices

Q25. The “Innovation” benefit of No-Code tools arises because:
a) Business users can build solutions for their unique problems themselves
b) Only IT departments can innovate
c) No-code tools ban customization
d) Innovation requires expensive licenses

Q26. Which disadvantage of No-Code tools relates to the tendency of humans to favor automated suggestions over correct contradictory information?
a) Lack of Flexibility
b) Security Issues
c) Automation Bias
d) High Cost

Q27. Why are No-Code platforms considered less suitable for companies dealing with sensitive data?
a) They are too slow
b) They usually offer limited control over security
c) They require too much manual coding
d) They are not visually appealing

Q28. “Lack of Flexibility” in No-Code tools means:
a) Users can customize applications freely
b) Users are limited to fixed drag-and-drop elements
c) There is no visual interface available
d) Coding knowledge becomes mandatory

Q29. Which No-Code AI tool is a cloud-based service provided by Microsoft?
a) Google Cloud AutoML
b) Azure Machine Learning
c) Orange Data Mining
d) Lobe AI

Q30. Google Cloud AutoML is a cloud-based service provided by:
a) Microsoft
b) Google
c) Lobe
d) Orange

Q31. Orange Data Mining is best described as:
a) A hardware manufacturing tool
b) An open-source data visualization, machine learning and data mining toolkit
c) A programming language
d) A search engine

Q32. Orange Data Mining enables users to perform data analysis without:
a) Internet access
b) Writing a single code
c) Using data
d) Selecting a model

Q33. Teachable Machine is primarily used to train a computer to recognize:
a) Only text documents
b) Images, sounds and poses
c) Only financial data
d) Only weather patterns

Q34. Azure Machine Learning provides an interface for all of the following EXCEPT:
a) Cleaning up data
b) Training models
c) Evaluating models
d) Manually writing all source code

Q35. Azure Machine Learning allows users to perform which sequence of activities?
a) Cleaning data, training, evaluating and putting models into production
b) Only typing code
c) Only viewing images
d) Only downloading datasets

Q36. In Orange Data Mining, which widget is used first to upload a dataset?
a) Prediction
b) File
c) Data Table
d) Test and Score

Q37. Which widget is used to view the uploaded dataset in Orange?
a) File
b) Linear Regression
c) Data Table
d) Prediction

Q38. To view the dataset, which connection is required in Orange?
a) Prediction to File
b) File to Data Table
c) Data Table to Prediction
d) Linear Regression to File only

Q39. According to the chapter, Linear Regression is used for a:
a) Classification model
b) Regression model
c) Security model
d) Hardware model

Q40. Which widget is used to check the performance parameters of the model?
a) File
b) Data Table
c) Test and Score
d) Prediction only

Q41. Teachable Machine can be used to train a computer to recognize:
a) Only numerical data
b) Images, sounds and poses
c) Programming languages only
d) Food prices only

Q42. Which feature makes Lobe suitable for beginners working on machine learning ideas?
a) It requires extensive coding
b) It provides a free and easy-to-use tool for training models
c) It only works with assembly language
d) It does not allow model training

Q43. Teachable Machine was released in:
a) October 1996
b) July 2014
c) November 2017
d) January 2018

Q44. Which No-Code AI tool is a cloud-based service provided by Microsoft?
a) Google Cloud AutoML
b) Azure Machine Learning
c) Orange Data Mining
d) Lobe AI

Q45. In which year was Azure Machine Learning released?
a) July 2014
b) January 2018
c) October 1996
d) November 2017

Q46. Which No-Code tool was released by Google in January 2018?
a) Azure Machine Learning
b) Google Cloud AutoML
c) Teachable Machine
d) Lobe AI

Q47. Orange Data Mining was developed by:
a) Microsoft
b) Google
c) University of Ljubljana
d) Stanford University

Q48. Orange Data Mining was released in:
a) October 1996
b) July 2014
c) 2015
d) November 2017

Q49. Which No-Code tool is described as a machine learning platform enabling custom ML model creation using a visual interface, released in 2015?
a) Teachable Machine
b) Lobe AI
c) Azure ML
d) Orange Data Mining

Q50. A startup wants complete ownership and maximum freedom to customize every feature of its application. Which approach is most suitable according to the given content?
a) No code
b) High code
c) Drag-and-drop only
d) Teachable Machine only

Q51. Sumanta receives an automated recommendation but ignores reliable contradictory evidence because the automated system suggested otherwise. This situation represents:
a) Lack of flexibility
b) Automation bias
c) Data visualization
d) Regression

Q52. An organization wants to create custom Machine Learning models through a visual interface. Which No-Code tool mentioned in the content is most appropriate?
a) Lobe AI
b) Java
c) C#
d) High code

Q53. Chadra Sir wants students to train a computer to recognize their own images, sounds and poses without requiring coding expertise. Which tool is most suitable?
a) Azure Machine Learning
b) Teachable Machine
c) High-code development
d) Linear Regression