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Year 8 Exam  >  Year 8 Tests  >  Year 8 Computing (Cambridge)  >  Test: Managing Data - Year 8 MCQ

Test: Managing Data - Year 8 MCQ


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10 Questions MCQ Test Year 8 Computing (Cambridge) - Test: Managing Data

Test: Managing Data for Year 8 2024 is part of Year 8 Computing (Cambridge) preparation. The Test: Managing Data questions and answers have been prepared according to the Year 8 exam syllabus.The Test: Managing Data MCQs are made for Year 8 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Managing Data below.
Solutions of Test: Managing Data questions in English are available as part of our Year 8 Computing (Cambridge) for Year 8 & Test: Managing Data solutions in Hindi for Year 8 Computing (Cambridge) course. Download more important topics, notes, lectures and mock test series for Year 8 Exam by signing up for free. Attempt Test: Managing Data | 10 questions in 20 minutes | Mock test for Year 8 preparation | Free important questions MCQ to study Year 8 Computing (Cambridge) for Year 8 Exam | Download free PDF with solutions
Test: Managing Data - Question 1
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What are some advanced data types commonly used in databases?

Detailed Solution for Test: Managing Data - Question 1
Arrays and linked lists are examples of advanced data types used for managing structured data in databases.
Test: Managing Data - Question 2
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Describe two techniques used for collecting qualitative data.

Detailed Solution for Test: Managing Data - Question 2
Interviews and focus groups are effective techniques for gathering qualitative data through direct interaction and discussions with participants.
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Test: Managing Data - Question 3
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What is the primary purpose of managing databases?

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Managing databases involves organizing and storing large volumes of data efficiently for easy retrieval and manipulation.
Test: Managing Data - Question 4
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How can pivot tables assist in data summarization?
Detailed Solution for Test: Managing Data - Question 4
Pivot tables in spreadsheets automatically summarize data by calculating totals, averages, and other aggregate functions based on user-defined criteria.
Test: Managing Data - Question 5
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Explain the role of data normalization in database management.
Detailed Solution for Test: Managing Data - Question 5
Data normalization eliminates redundancy by organizing data into tables and defining relationships, thereby improving data integrity and reducing anomalies.
Test: Managing Data - Question 6
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What is the purpose of data mining in data analysis?
Detailed Solution for Test: Managing Data - Question 6
Data mining involves extracting patterns and trends from large datasets to predict future trends and behaviors, aiding decision-making processes.
Test: Managing Data - Question 7
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Give an example of a data visualization tool.
Detailed Solution for Test: Managing Data - Question 7
Tableau is a popular data visualization tool used to create interactive and shareable dashboards and reports from various data sources.
Test: Managing Data - Question 8
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What is the purpose of normalization in database design?
Detailed Solution for Test: Managing Data - Question 8

Normalization is a process in database design that organizes data into tables and reduces redundancy and dependency. It ensures data integrity and efficiency in querying by eliminating duplicate data and organizing data logically.

Test: Managing Data - Question 9
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Which database operation is used to combine rows from two or more tables based on a related column between them?
Detailed Solution for Test: Managing Data - Question 9

In database management, a join operation is used to combine rows from two or more tables based on a related column between them. It allows for the retrieval of data from multiple tables in a single query.

Test: Managing Data - Question 10
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Which of the following is NOT a primary key characteristic in database management?
Detailed Solution for Test: Managing Data - Question 10

In database management, a primary key is a unique identifier for each record in a table. It must be unique (A), non-null (B), and often indexed (D) for efficient querying. However, the data type (such as integer) used for the primary key can vary based on the requirements of the database schema.

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