Exam Details

  • Exam Code
    :CBDA
  • Exam Name
    :Certification in Business Data Analytics (CBDA)
  • Certification
    :IIBA Certifications
  • Vendor
    :IIBA
  • Total Questions
    :150 Q&As
  • Last Updated
    :Jun 29, 2025

IIBA IIBA Certifications CBDA Questions & Answers

  • Question 91:

    Which attributes from the Order entity will need to be normalized to avoid redundancies?

    1.

    Orderld

    2.

    OrderDate

    3.

    Itemld

    4.

    ItemName

    5.

    Quantity

    6.

    ItemPrice

    A. OrderDate ItemPrice

    B. ItemName ItemPrice

    C. OrderDate ItemName

    D. Item Name Quantity

  • Question 92:

    Interested in building out the analytics capability based on the positive results obtained by past analytics efforts, the Chief Marketing Officer (CMO) pitches the idea of using analytics to guide future decision making across the enterprise.Before allocating budget to build up an enterprise analytics practice, the decision makers should:

    A. Request that a small team be assembled to brainstorm a list of capabilities to develop with any approved monies

    B. Identify the sponsor and a project manager who can collaborate on the development of the project charter

    C. Oversee the completion of up-front analysis to determine how value can be achieved through an enterprise-wide analytics practice

    D. Determine if the company has the sufficient resources to build up the analytics practice

  • Question 93:

    The outcome from an analytics initiative has resulted in key stakeholders wanting to move forward with a project to redesign the company's website. The business analyst has called a meeting to work on drafting a plan to assess the level of effort required to complete this work. Many of the invited participants redesigned the website before and were invited so they could provide estimates using their knowledge and experience from the past. The business analyst is using which method to estimate this work?

    A. Rolling wave

    B. PERT

    C. Parametric

    D. Rough order of magnitude

  • Question 94:

    The marketing department for a major restaurant chain is interested in testing a Kids Eat Free campaign to determine if it will help to increase sales. They are interested in piloting the campaign to determine which day of the week will improve sales the most.

    The campaign is launched across 7 cities with each city promoting a different day of the week. The sales data is collected and provided to a team for analysis. What concern might the analytics team have regarding data quality across cities?

    A. Normality

    B. Heteroskedacity

    C. Linearity

    D. Variation

  • Question 95:

    The results of the data analytics work led to some clear and strongly supported outcomes and the analytics team is very confident in their recommendations; particularly given that the payback on the required changes are a short 3 months. However, there is concern because the organization operates in a highly regulated environment and some new regulatory changes are being considered with announcements and implementation in the next 6 months. Under these conditions the team decides to:

    A. Recommend no action be taken at this time and revisit in 6 months

    B. Reassess their results to ensure their validity and then decide what to do

    C. Identify and carefully document assumptions for their recommendation

    D. Postpone recommendations for 6 months until the announcements are made

  • Question 96:

    The analytics team scheduled a meeting with key stakeholders to present their recommendations. The team envisioned this as the final step of their work and fully expected complete acceptance of those recommendations, particularly given that very few questions were asked. They were surprisedwhen they received word that the organization wasn't ready to move forward. What did they overlook?

    A. Stakeholders need to hear the same information multiple times

    B. Stakeholders never make quick decisions

    C. Communicating information requires a written report

    D. Communicating information is bi-directional and iterative

  • Question 97:

    The analytics team is identifying research questions to address a business problem. The business analysis professional reminds the team that the most important dimension to consider is the:

    A. Sources of data

    B. Quality of the data

    C. Timeframe of analysis

    D. Measurement scale

  • Question 98:

    A Human Resource manager recently learned that their competitor reduced employee attrition rates by 20% after implementing personality tests as part of their screening process. Intrigued by the idea, the manager suggests collecting data on personality tests and attrition rates over the next year. The data from this year is then analyzed to explore possible relationships. What type of analytics has the team been asked to perform?

    A. Predictive

    B. Descriptive

    C. Prescriptive

    D. Diagnostic

  • Question 99:

    An analyst at a bank is trying to identify research questions for an analytical study on top customer issues across branches. During an interview with a branch manager, the analyst asks the manager what their top customer concerns are relating to this branch?

    After the manager's reply, the analyst asks a follow up question on how their top customer concerns compare against the top customer concerns across all branches? Was the analyst's follow-up question valid?

    A. No, there is no value comparing the results of a single branch with results across all branches

    B. Yes, it builds on the previous question and allows the analyst to identify branch-specific concerns

    C. No, the question is not valid in this particular scenario

    D. Yes, only for the purpose of ensuring that the manager is aware of the company-wide reports

  • Question 100:

    The analytics team has established two equally strong potential recommendations which will deliver the desired outcomes with similar benefits to be derived from each one. On the surface there is no discernable difference in costs or schedule for either option. To help the analytics team reach arecommendation the business analysis professional recommends the team:

    A. Complete market research

    B. Assess risks for each option

    C. Vote to choose the recommendation

    D. Seek management guidance

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