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What do you know about Data Mining? - Part 2

  1. Question 1: KDD is the abbreviation of any technique in Data Mining?
    1. Knowledge Data Developer
    2. Knowledge Develop Database
    3. Knowledge Discovery Database
    4. There is no right answer
  2. Question 2: Which of the following statements is true about KDD?
    1. Output of KDD is data.
    2. Output of KDD is query.
    3. The output of KDD is information.
    4. The output of KDD is potentially valuable information.
  3. Question 3: Where is not an application of Data Warehouse?
    1. Information processing - Information processing
    2. Processing data analysis - Analytical processing
    3. Transaction processing - Transaction processing
    4. Data mining - Data mining
  4. Question 4: Choose the correct answer:
    Data can be updated in the operational environment (Operational Environment).
    1. It's correct
    2. False
  5. Question 5: How many stages does KDD process have?
    1. 3
    2. 4
    3. 5
    4. 6
    Stage 1: Selecting data
    Phase 2: Preprocessing data (preprocessing)
    Phase 3: Data conversion (transformation)
    Phase 4: Data mining (Data ming)
    Stage 5: Evaluate sample results
  6. Question 6: Transient data is what data type?
    1. The data created in the session with the application and stored in the database after the application ends.
    2. Is the data created in the session with the application but not stored in the database after the application ends.
    3. Data is never changed or deleted after they are added.
    4. Data is never deleted after they are added.
  7. Question 7: Data Warehouse architecture based on:
    1. Database Management System - DBMS
    2. RDBMS - Relational Database Management System
    3. Structured query language - SQL
    4. ORACLE Database Management System
  8. Question 8: What kind of database can be used for data warehouse optimization and OLAP?
    1. Retional Database
    2. Relational Database
    3. Structural Database
    4. Multidimensional Database
  9. Question 9: ODS stands for:

    1. Online Data Store
    2. Online Data Storage
    3. Operational Data Stand
    4. Operational Data Store
    Operational Data Store - Active data container
  10. Question 10: A subset of the Data Warehouse data warehouse contains all data on a specific topic called:
    1. Data Pocket
    2. Metadata
    3. Data Mart
    4. Data Mining
4 ★ | 2 Vote
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