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Federal (FBISE) · Chapter test · Free

9th Class Computer Chapter 4 Test4. Data and Analysis

30 marks · 40 minutes · 21 questions. Covers: 4. Data and Analysis.

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9th Class Computer Chapter 4 Test

9th Class · Computer · Federal (FBISE)

Name: ____________Roll No: ________Class/Section: ________Date: ________Total marks: 30Time: 40 minutes

Q1. Multiple choice questions (Attempt all · 10 × 1 = 10)

  1. _________ is the use of data to predict future trends and events based on historical data.
    1. Statistical analysis
    2. Predictive analysis
    3. Graphical analysis
    4. Deep learning
  2. ________ is a structured or processed collection of data usually associated with a unique body of work.
    1. Data base
    2. Data set
    3. Data and Information
    4. Information
  3. _________ includes the data which can only take certain values and cannot be further subdivided into smaller units.
    1. Statistical data
    2. Continuous data
    3. Ordinal data
    4. Referral data
  4. When did the term 'big data' start being widely recognized?
    1. Early 1990s
    2. Early 2000s
    3. Early 2010s
    4. Late 2000s
  5. What does 'Volume' refer to in big data?
    1. Speed of data generation
    2. The different formates of data
    3. The amount of data
    4. The methods of data storage
  6. How does big data help in fraud detection?
    1. By automatic data collection processes
    2. By identifying and detecting unusual patterns
    3. By increasing data storage capacity
    4. By simplifying data preprocessing
  7. ________ is the fast rate at which data is received and acted on.
    1. Volume
    2. Velocity
    3. Variety
    4. Vision
  8. Which of the following is an example, of unstructured data?
    1. A table of sales figures
    2. A video recording
    3. A list of names
    4. A spreadsheet
  9. Which aspect of big data deals with the speed at which data is generated?
    1. Variety
    2. Volume
    3. Velocity
    4. Verification
  10. What is the main focus of Data Mining?
    1. Creating new data
    2. Discovering pattern ad relationship in exisying datasets
    3. Storing data
    4. Analyzing unstructured data

Q2. Short questions (Attempt any 6 of 8 · 6 × 2 = 12)

  1. Why are summary statistics needed?
  2. What tools can be used for data analysis?
  3. Differentiate between database and dataset.
  4. How is data represented?
  5. What role did Hadoop play in managing big data?
  6. Define data analytics and data science. Are they similar or different? Give reason.
  7. What are the two types of data mentioned?
  8. What is nominal data?

Q3. Long questions (Attempt any 2 of 3 · 2 × 4 = 8)

  1. Compare how big data is applicable to various fields of life. Illustrate your answer with suitable examples.
  2. Explain the sources of data, dataset, and database in the context of data science, including the role of a Database Management System (DBMS) and examples of relational and non- relational DBMS.
  3. Design a case study about how data science and big data has revolutionized the field of healthcare.