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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How many types of common Data Errors?

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Which method is used to find meaning from data?

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Data Science life cycle is helpful in:

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Standardizing formats means changing entries like "CRICKET" to:

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Final step of DSLC method:

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

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How many type of Data validation techniques are there?

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Next step after Problem identification:

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After data cleaning next step is:

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Data which has not been checked or cleaned:

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DSLC stands for:

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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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Problem understanding means:

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When selecting a data source, you should ask:

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Method in which we asked question and record answers:

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Public data collection method is:

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

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

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Writing your objectives like a checklist helps to:

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Total number of steps in DSLC:

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A good problem is one that can be answered by:

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

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tool help to validate data:

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Raw data is often:

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

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When we refine a problem, we:

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Data Validation is important for:

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IoT is useful in:

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Redundancy handling is done in:

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Analyzing data helps us make decisions based on:

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Importance to setting clear objective:

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

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Which of the following allow user to focus on Project?

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

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

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

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

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Using dropdowns or checkboxes in surveys helps to:

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To avoid bias, we should:

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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