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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Raw data is often:

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Find trends & patterns involved in:

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Which allow software to collect data from websites or applications?

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How many type of Data validation techniques are there?

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

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tool help to validate data:

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

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Importance to setting clear objective:

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

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Problem understanding means:

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

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Which method is used to find meaning from data?

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A good problem is one that can be answered by:

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Data which has not been checked or cleaned:

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When selecting a data source, you should ask:

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After data cleaning next step is:

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Using dropdowns or checkboxes in surveys helps to:

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Final step of DSLC method:

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

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

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

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

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Share the results is called:

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

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How many types of common Data Errors?

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Method in which we asked question and record answers:

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

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When we refine a problem, we:

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DSLC stands for:

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Next step after Problem identification:

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Analyzing data helps us make decisions based on:

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Writing your objectives like a checklist helps to:

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To avoid bias, we should:

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Standardizing formats means changing entries like "CRICKET" to:

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Redundancy handling is done in:

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

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Data Validation is important for:

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IoT is useful in:

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Which of the following allow user to focus on Project?

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Total number of steps in DSLC:

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Public data collection method is:

Your score is

The average score is 7%

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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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