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CBDA Certification in Business Data Analytics (IIBA - CBDA)

  • IIBA
  • 5 free sample questions

About this exam

CBDA is the IIBA exam Certification in Business Data Analytics (IIBA - CBDA). Paid practice material for this exam is not available yet, but you can try its free sample questions.

Exam code
CBDA
Vendor
IIBA
Practice questions
Not available yet
Free sample questions
5
Question bank last updated
Not available yet

Try 2 sample questions

Taken from the free sample set for CBDA.

Question 1

A colleague proposes measuring job satisfaction by asking the question "What is your salary?".

What is the concerning factor about this question?

  1. Option A:

    Validity

  2. Option B:

    Clarity

  3. Option C:

    Reproducibility

  4. Option D:

    Subjectivity

Show answer and explanation

Correct answer: A

Validity is the extent to which a measure or a question accurately captures the intended concept or construct1. The question “What is your salary?” is not a valid measure of job satisfaction, as it does not reflect the various aspects of job satisfaction, such as work environment, recognition, autonomy, growth, etc. Salary is only one possible factor that may influence job satisfaction, but it is not a direct or comprehensive indicator of it23. Therefore, the question is not valid for measuring job satisfaction. References: 1: Guide to Business Data Analytics, IIBA, 2020, p. 302: Job Satisfaction: Application, Assessment, Causes, and Consequences, Paul E. Spector, 1997, p. 23: Job Satisfaction Survey, 1.

Question 2

While creating a dataset for analysis, the analyst reviews the data collected and finds a large percentage of records are missing values.

Which activity would the analyst perform in order to use this dataset?

  1. Option A:

    Clustering

  2. Option B:

    Scale validation

  3. Option C:

    Weighting

  4. Option D:

    Factor analysis

Show answer and explanation

Correct answer: C

Weighting is a technique that assigns different values or weights to different records or variables in a dataset, based on their importance or relevance. Weighting can be used to handle missing values by giving them a lower weight or imputing them with a weighted average of other values. Weighting can also help to adjust for sampling bias or non-response bias in the data collection process. References:

• Understanding the Guide to Business Data Analytics, page 16

• Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain 3: Analyze Data

• CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 4

See all 5 free sample questions