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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Method in which we asked question and record answers:

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Raw data is often:

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Next step after Problem identification:

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

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Share the results is called:

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Which allow software to collect data from websites or applications?

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How many types of common Data Errors?

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A good problem is one that can be answered by:

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Importance to setting clear objective:

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

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After data cleaning next step is:

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Data Science life cycle is helpful in:

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Which method is used to find meaning from data?

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Using dropdowns or checkboxes in surveys helps to:

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Find trends & patterns involved in:

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

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How many type of Data validation techniques are there?

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Public data collection method is:

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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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tool help to validate data:

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Analyzing data helps us make decisions based on:

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Data Validation is important for:

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DSLC stands for:

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Problem understanding means:

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

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Final step of DSLC method:

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When we refine a problem, we:

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Redundancy handling is done in:

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Which of the following allow user to focus on Project?

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

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IoT is useful in:

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

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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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When selecting a data source, you should ask:

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To avoid bias, we should:

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Data which has not been checked or cleaned:

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

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

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Total number of steps in DSLC:

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

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Standardizing formats means changing entries like "CRICKET" to:

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

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