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Online Data Mining Quiz Test

Topics Covered

  • Data Processing
  • Data Warehouse and OLAP Technology
  • Introduction to Data Mining
  • Data Preprocessing
  • Mining Frequent Patterns
  • Data Cleaning
  • Data Reduction
  • Data Mining Process
  • Data Integration and Transformation

Useful for hiring

  • Data Mining Analyst
  • Data Mining Specialist
  • Data Mining Consultant
  • Data Mining Expert

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Question

When applying for a credit card, candidates may be asked to supply their driver’s license number. Candidates who do not have a driver’s license may naturally leave this field blank. Forms should allow candidates to fill in the blank field. Which field is more likely suitable to the credit card analogy above?

Answer
    • "Not allowed"

    • "Not available"

    • "Not applicable"

    • "Not open"

Question

I have a set of data to analyse the impact of staff salary on retention with my model specified thus:
Y = a+bX
X = staff salary (the predictor variable)
Y = staff salary (the predictor variable)
a and b are coefficients.

How can this model be used to approximate the data?

Answer
    • Correlation and ANOVA

    • Regression and log-linear models

    • Scatterplot and Covariance

    • Descriptive Statistics

Question

A data mining system should be able to produce a description summarizing the characteristics of customers who spend more than $1,000 a year at Fara Consulting. The result could be a general profile of the customers, such as they are 40–50 years old, employed, and have excellent credit ratings. The system should allow users to drill down on any dimension. Which one of the responses is less likely?

Answer
    • Such as on location in order to view these customers according to their type of availability

    • Such as on occupation in order to view these customers according to their type of employment

    • Such as on address in order to view these customers according to their type of apartment

    • Such as on occupation in order to view these customers according to their type of gender

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