MCQ

Class 10 computer chapter 5 MCQs with answers pdf | DSLC

Class 10 computer chapter 5 MCQ with answers PDF covering the Data Science Life Cycle (DSLC) is available for students preparing for Punjab Boards. This chapter includes important concepts such as data collection, data validation, data analysis, data interpretation, data visualization, and databases. Students can use these Class 10 Computer Chapter 5 MCQs with answers for exam preparation, revision, and online MCQ practice.

10CSE Chapter 5 5.2 Overview of the Data Science Life Cycle

5.2 Overview of the Data Science Life Cycle

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Problem understanding means:

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Making a clear target to solve a problem is referred to:

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Data Validation is important for:

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"Frequency = 1000 times/week" in a student survey is an example of:

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To find out which sports students enjoy, we can create a survey with questions such as:

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Writing your objectives like a checklist helps to:

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Clean data leads to smart decisions, whereas dirty data leads to:

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Data only shows part of truth and miss the full picture:

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Final step of DSLC method:

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Standardizing formats means changing entries like "CRICKET" to:

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Find trends & patterns involved in:

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If we only survey boys about their favorite sports, the results will be:

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How many type of Data validation techniques are there?

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Using dropdowns or checkboxes in surveys helps to:

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After data cleaning next step is:

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Which of the following is the best tool for conduct online survey?

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Data Science life cycle is helpful in:

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Data is like raw material, and we must gather the right kind of data before we can:

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Data which has not been checked or cleaned:

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Which of the following is used as a tool for Analysis?

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Importance to setting clear objective:

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Raw data is the original information we collect from people, sensors, websites, or apps that:

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Total number of steps in DSLC:

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When selecting a data source, you should ask:

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Analyzing data helps us make decisions based on:

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To avoid bias, we should:

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When we refine a problem, we:

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IoT is useful in:

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Blank cells, such as no sport name or study time of day, are examples of:

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Next step after Problem identification:

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Raw data is often:

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tool help to validate data:

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Which of the following allow user to focus on Project?

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DSLC stands for:

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How many types of common Data Errors?

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Redundancy handling is done in:

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Which allow software to collect data from websites or applications?

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Share the results is called:

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IoT devices like smart watches or temperature sensors are useful in:

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Public data collection method is:

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A good problem is one that can be answered by:

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Method in which we asked question and record answers:

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Which method is used to find meaning from data?

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Computer Science and Entrepreneurship 10th Class New Syllabus 2026 MCQs with Answers

 

Chapter 5 Data Science
[Tech ICT Group (Chapter 4) and Simple Computer Science Group]

5.1 Introduction to Data Science

5.2 Overview of the Data Science Life Cycle

5.3 Tools for Visualization

5.4 Databases and Storing Data

Complete Exercise Solution

Complete Chapter MCQs

 

Select other Chapter from Class 10 Computer Science & Entrepreneurship 2026 

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