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What do you know about Data Mining? - Part 2

How much did you know about Data Mining? Keep testing your knowledge with Quantrimang through the following multiple choice questions!

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

    • Online Data Store
    • Online Data Storage
    • Operational Data Stand
    • Operational Data Store
    Operational Data Store - Active data container
  • Question 10: A subset of the Data Warehouse data warehouse contains all data on a specific topic called:
    • Data Pocket
    • Metadata
    • Data Mart
    • Data Mining

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Isabella Humphrey

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Isabella Humphrey
Update 24 May 2019

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