1. Question: Which of the following is not true regarding the process of Data Mining?

    A
    Software techniques are used for finding patterns and regularities in sets of data

    B
    It is the computer that is responsible for finding the patterns by identifying the underlying rules and features in the data

    C
    Data mining analysis tends to work from the data up

    D
    The best techniques are those developed with an orientation towards small volumes of data

    E
    The analysis process starts with a set of data, uses a methodology to develop an optimal representation of the structure of the data, during which time knowledge is acquired

    Note: Not available
    1. Report
  2. Question: Data quality management refers to the fact that:

    A
    Ad-hoc analysis must not be slowed or inhibited by the performance of the data warehouse RDBMS

    B
    The warehouse must ensure local consistency, global consistency, and referential integrity

    C
    The RDBMS server must support hundreds, even thousands, of concurrent users while maintaining acceptable query performance

    D
    The server must include tools that co-ordinate the movement of subsets of data between warehouses

    E
    The RDBMS must provide a complete set of analytic operations including core sequential and statistical operations

    Note: Not available
    1. Report
  3. Question: Which of the following stage is concerned with the extraction of patterns from the data?

    A
    Selection

    B
    Pre-processing

    C
    Transformation

    D
    Data Mining

    E
    Interpretation and Evaluation

    Note: Not available
    1. Report
  4. Question: The Metadata of the data warehouse should at least contain:

    A
    The structure of the data

    B
    The algorithm used for summarisation

    C
    The mapping from the operational environment to the data warehouse and the algorithm used for summarisation

    D
    The structure of the data and the algorithm used for summarisation

    E
    The structure of the data, the algorithm used for summarisation and the mapping from the operational environment to the data warehouse and the algorithm used for summarisation

    Note: Not available
    1. Report
  5. Question: Which of the following features are required by OLAP applications?

    A
    Multidimensional views of data

    B
    Calculation-intensive capabilities

    C
    Time intelligence

    D
    Multidimensional views of data and Calculation-intensive capabilities

    E
    Calculation-intensive capabilities and Time intelligence

    Note: Not available
    1. Report
  6. Question: Data Mining is also known as

    A
    Data Extraction

    B
    Data Cleansing

    C
    Data Archiving

    D
    Knowledge Discovery in Databases (KDD)

    E
    Data Preservation

    Note: Not available
    1. Report
  7. Question: Given the following steps between raw data and extracted knowledge, arrange them in the correct order: 1 Data mining 2 Transformation 3 Selection 4 Pre-processing 5 Interpretation and Evaluation

    A
    3,4,2,1,5

    B
    4,3,2,1,5

    C
    4,2,1,3,5

    D
    4,1,2,3,5

    E
    3,4,1,2,5

    Note: Not available
    1. Report
  8. Question: The data warehouse is typically a large database on a high performance SMP system. Here SMP stands for:

    A
    Symmetric Multi-Processing

    B
    Superior Multi-Processing

    C
    Systematic Massive Processing

    D
    Symmetric Massive Processing

    E
    Systematic Multi-Processing

    Note: Not available
    1. Report
  9. Question: The main impetus behind data warehousing was:

    A
    To discover means to reduce the data volumes

    B
    To make OLTP systems work faster

    C
    To reduce human interaction with database systems

    D
    To access corporate knowledge repositories based on huge databases to make sound business decisions

    E
    To standardise the database products used

    Note: Not available
    1. Report
  10. Question: SQL stands for:

    A
    Structured Query Language

    B
    Systematic Query Language

    C
    Structured Query Logic

    D
    Structured Queuing Logic

    E
    Standard Query Logic

    Note: Not available
    1. Report
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