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Certification in Business Data Analytics Questions 41–45 (page: 10)

Updated On: 10-Feb-2026

The analytics team is struggling with which recommendation to make. Their challenge is that they have five good options and this indecision is stopping them from moving forward. To help the team finalize their recommendation, the BA professional on the team recommends they complete:

  1. Root cause analysis
  2. Business rules analysis
  3. Data flow diagrams
  4. Acceptance and evaluation criteria

Answer(s): D

Explanation:

Acceptance and evaluation criteria are the techniques that the BA professional on the team should recommend they complete, because they are the standards or measures that are used to evaluate the suitability and value of each option. Acceptance and evaluation criteria can help the team compare the benefits, costs, risks, and impacts of each option, and determine which one best meets the needs and expectations of the stakeholders. Acceptance and evaluation criteria can also help the team communicate the rationale and evidence behind their recommendation, and ensure that the recommendation is aligned with the business goals and objectives.


Reference:

- Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain
5: Use Results to Influence Business Decision Making
- Understanding the Guide to Business Data Analytics, page 9 - Acceptance and Evaluation Criteria | Business Analysis



The analytics team is assessing the results of their analysis. They are surprised to find that their data indicates two events seem to be strongly related even though the general belief in the organization is that they are independent of each other. Knowing that this information will be used for decision making, they are concerned about presenting this dat

  1. At an impasse, the business analysis professional reminds them that the data can be presented as long as the team has:
  2. Review the results with management ahead of time and highlight any potential risk of using this data
  3. Confidence that the correlation will reliably occur in the future and the risk of acting on this is low
  4. Followed all rules for data analysis endorsed as organizational standards so the risk of acting on this is low
  5. The ability to rerun the data analysis and the results are the same thereby minimizing the risk of acting on this

Answer(s): D

Explanation:

The ability to rerun the data analysis and the results are the same is the condition that the team should have before presenting the data, because it is a technique that ensures the validity, reliability, and reproducibility of the data analysis. By rerunning the data analysis, the team can verify that the results are consistent and not affected by random errors, biases, or anomalies. The team can also confirm that the data analysis process is well-documented, transparent, and traceable, and that the results can be replicated by other analysts or stakeholders. This can minimize the risk of acting on the data, and increase the confidence and trust in the data analysis.


Reference:

- Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain
4: Interpret and Report Results
- Understanding the Guide to Business Data Analytics, page 9

- Business Data Analytics (IIBA®-CBDA Exam preparation) | Udemy, Section 4: Interpret and Report Results, Lecture 20: Data Validation and Verification



An analytics team has been asked to answer the following question: "Given that you're a customer, would you work at our company?" The team is concerned about answering this question because it is:

  1. Insignificant
  2. Short
  3. Unethical
  4. Unclear

Answer(s): D

Explanation:

The question "Given that you're a customer, would you work at our company?" is unclear, because it is a hypothetical and subjective question that does not specify the purpose, scope, or context of the analysis. The question also does not define what constitutes a customer, or how the customer's experience or satisfaction relates to the employee's motivation or performance. The question needs to be refined and clarified to make it more focused, relevant, and feasible for the analytics team to answer. For example, the question could be rephrased as "How does the customer satisfaction score affect the employee retention rate in our company?"


Reference:

- Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain
1: Identify the Research Questions
- Understanding the Guide to Business Data Analytics, page 10-11 - CERTIFICATION IN BUSINESS DATA ANALYTICS HANDBOOK - IIBA®, page 8, CBDA Exam Sample Questions and Self-Assessment, Question 16



A data scientist is performing statistical analysis and is interested in graphically depicting the data set according to the associated quartiles Minimum, First Quartile, Median, Second Quartile, Third Quartile.
Which technique would allow for the display of this statistical five number summary?

  1. Gaussian distribution
  2. Scatter plot
  3. Multivariate histogram
  4. Box plot

Answer(s): D

Explanation:

A box plot is the technique that would allow for the display of the statistical five number summary, because it is a technique that shows the distribution of a data set using a rectangular box and whiskers. A box plot can help the data scientist visualize the minimum, maximum, median, first quartile, and third quartile of the data set, as well as any outliers or skewness. A box plot can also help the data scientist compare the variation and symmetry of different groups or categories of data. Options A, B, and C are not suitable for displaying the statistical five number summary, because they are techniques that show the frequency, relationship, or density of the data, but not the quartiles or outliers.


Reference:

- Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain
3: Analyze Data
- Understanding the Guide to Business Data Analytics, page 18 - 16 Best Types of Charts and Graphs for Data Visualization [+ Guide]



An online retailer has been successful utilizing analytics to guide decisions on product placement and marketing spend.
Management has requested a task force be assembled to make recommendations on how to further develop their analytics capabilities. To begin this work, the task force builds a model to develop a shared understanding about customer segments, customer relationships, key partnerships, and the company's value proposition. The team has leveraged the following model to facilitate this discussion?

  1. Value chain analysis
  2. Balanced scorecard
  3. Business model canvas
  4. CATWOE

Answer(s): C

Explanation:

The business model canvas is the model that the task force has leveraged to facilitate the discussion, because it is a technique that describes the logic of how an organization creates, delivers, and captures value. The business model canvas consists of nine building blocks that cover the key aspects of a business: customer segments, value proposition, channels, customer relationships, revenue streams, key resources, key activities, key partnerships, and cost structure. The business model canvas can help the task force develop a shared understanding of the current state of the online retailer, and identify the opportunities and challenges for developing their analytics capabilities.


Reference:

- Business Analysis Certification in Data Analytics, CBDA | IIBA®, CBDA Competencies, Domain
6: Guide Organization-level Strategy for Business Analytics - Understanding the Guide to Business Data Analytics, page 9 - 10.8 Business Model Canvas | IIBA®



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