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100+ Free IIBA-CBDA Practice Questions

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A CBDA analyst recommends that a retail chain increase inventory levels based on a demand forecast. The forecast has a mean absolute percentage error (MAPE) of 18%. What MUST the analyst communicate to the operations team?

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Key Facts: IIBA-CBDA Exam

75

Exam Questions

IIBA CBDA Handbook

2 hrs

Time Limit

IIBA CBDA Handbook

$250/$405

Exam Fee (Member/Non)

IIBA Certification Fees

6

Blueprint Domains

IIBA CBDA Handbook

The IIBA-CBDA is IIBA's specialized certification for business analysts who work with data analytics initiatives. It covers six blueprint domains — from framing research questions and sourcing data through analyzing data, visualizing results, influencing decisions, and guiding organizational analytics strategy. The exam consists of 75 scenario-based questions in 2 hours, delivered online via remote proctoring. CBDA holders are valued in industries that rely on data-driven decision-making including finance, healthcare, retail, and technology.

Sample IIBA-CBDA Practice Questions

Try these sample questions to test your IIBA-CBDA exam readiness. Each question includes a detailed explanation. Start the interactive quiz above for the full 100+ question experience with AI tutoring.

1A data analyst is asked to investigate why customer churn increased last quarter. Which type of analytics approach is MOST appropriate to start with?
A.Predictive analytics to forecast future churn rates
B.Diagnostic analytics to identify root causes of the churn increase
C.Prescriptive analytics to recommend retention actions
D.Descriptive analytics to summarize overall churn statistics
Explanation: Diagnostic analytics focuses on understanding why something happened by examining root causes and contributing factors. Since the goal is to understand why churn increased, diagnostic analytics is the correct starting point. Descriptive analytics summarizes what happened, predictive forecasts what will happen, and prescriptive recommends actions.
2When formulating a business research question, which characteristic is MOST important to ensure the question is answerable with available data?
A.The question must align with the organization's strategic objectives
B.The question must be specific, measurable, and scoped to available data
C.The question must be approved by senior leadership before analysis begins
D.The question must reference a hypothesis supported by prior literature
Explanation: A well-formed research question must be specific, measurable, and scoped to data that can realistically be obtained or already exists. Vague or immeasurable questions lead to inconclusive analysis. Strategic alignment is important but secondary to answerability; leadership approval is procedural, not a quality characteristic.
3An organization wants to understand whether a new marketing campaign increased sales. What is the BEST way to frame this as a testable hypothesis?
A.The campaign will improve brand awareness among target customers
B.Sales revenue in the post-campaign period exceeds pre-campaign revenue by at least 10%
C.The marketing campaign was successfully implemented on schedule
D.Customer satisfaction scores will improve after the campaign
Explanation: A testable hypothesis must be specific, measurable, and falsifiable. Stating that post-campaign sales exceed pre-campaign sales by at least 10% provides a clear measurable threshold that can be confirmed or refuted with sales data. The other options are either vague, operational milestones, or unrelated to sales impact.
4A business analyst is defining the scope of a data analytics project. Which factor is MOST critical to establish before finalizing the research questions?
A.The visualization tools that will be used to present findings
B.The stakeholders who will receive the final report
C.The business objectives and constraints the analysis must address
D.The statistical methods that will be applied to the data
Explanation: Understanding business objectives and constraints ensures that research questions are aligned with what the organization actually needs to decide or change. Statistical methods and visualization tools are chosen after the questions are framed. Stakeholder identification informs communication planning, not question scoping.
5Which of the following BEST distinguishes a business question from a data question in analytics work?
A.A business question uses domain language; a data question uses technical terminology
B.A business question asks what outcome is desired; a data question asks what data is needed to answer it
C.A business question is for executives; a data question is for analysts
D.A business question focuses on KPIs; a data question focuses on data quality
Explanation: The key distinction is that a business question defines the desired outcome or decision to be made, while a data question translates that into what data, measures, and analyses are required. This decomposition is fundamental to structured analytics work. Audience and terminology are secondary distinctions.
6A retail company notices that online cart abandonment is high. Before beginning analysis, what should the analyst do FIRST?
A.Pull all available e-commerce transaction data for the past year
B.Identify whether reducing cart abandonment is a strategic priority and define the specific research question
C.Benchmark cart abandonment rates against industry competitors
D.Recommend A/B testing on the checkout page to reduce abandonment
Explanation: Before any data collection or analysis, the analyst must confirm that the problem is a genuine business priority and frame a specific, answerable research question. Jumping to data collection or solutions without proper question framing wastes resources and may miss the real business need.
7During stakeholder interviews, an analyst learns that executives want to understand future revenue trends, while operations wants to reduce delivery delays. Which action BEST helps define unified research questions?
A.Prioritize executive requests since they have higher organizational authority
B.Build separate reports for each stakeholder group with distinct research questions
C.Facilitate a collaborative session to align stakeholder needs into coherent, shared research questions
D.Proceed with the analysis using all stakeholder questions and let results determine priorities
Explanation: When stakeholders have different priorities, a collaborative alignment session helps surface shared business goals, reduces duplication, and ensures the analytics project delivers maximum value. Separate siloed reports may miss cross-cutting insights and waste resources. Prioritizing by authority alone ignores operational realities.
8An analyst is tasked with improving employee retention. Which research question is MOST analytically actionable?
A.Why do employees leave the company?
B.What factors most strongly predict voluntary resignation within the first two years of employment?
C.How can we improve employee satisfaction?
D.What is the cost of employee turnover?
Explanation: The most actionable research question is specific, measurable, and directly tied to a decision-relevant outcome. Identifying predictors of voluntary resignation within the first two years gives analysts a clear analytical target with definable variables and a testable outcome. The other options are too broad or conflate a research question with an intervention goal.
9A CBDA candidate is reviewing a project brief that states: 'Analyze all available data to find ways to improve the business.' What is the PRIMARY problem with this as a research question?
A.It does not specify which department owns the data
B.It is too broad, lacks a specific business outcome, and is not measurable
C.It does not reference any statistical technique
D.It fails to identify the data sources that will be used
Explanation: A valid research question must be specific, scoped, and measurable. 'Analyze all available data to improve the business' provides no specific outcome, no scope limitation, and no success criterion. This makes it impossible to design a focused analysis or know when the question has been answered.
10Which of the following BEST describes the role of assumptions in framing research questions for data analytics?
A.Assumptions should be eliminated by collecting more data before defining the question
B.Assumptions must be explicitly documented so they can be tested or validated during analysis
C.Assumptions are only relevant when external data sources are used
D.Assumptions become irrelevant once a hypothesis is formally stated
Explanation: Explicitly documenting assumptions is critical because they shape how the research question is framed and which data will be considered relevant. If an assumption is wrong, the entire analysis may lead to flawed conclusions. Testing and validating assumptions is part of rigorous analytics practice.

About the IIBA-CBDA Exam

The IIBA-CBDA (Certification in Business Data Analytics) recognizes your ability to execute analysis-related work in support of data analytics initiatives and deliver business value through data.

Questions

75 scored questions

Time Limit

2 hours

Passing Score

Pass/Fail (scaled)

Exam Fee

$250/$405 (IIBA)

IIBA-CBDA Exam Content Outline

20%

Identify the Research Questions

Framing business and data research questions, forming hypotheses, scoping analytics projects, and defining measurable outcomes

15%

Source Data

Evaluating data sources, data quality dimensions, data governance, privacy, lineage, and data cleaning

16%

Analyze Data

Descriptive statistics, hypothesis testing, regression, clustering, time-series, machine learning fundamentals, and EDA

20%

Interpret and Report Results

Data visualization principles, chart selection, data storytelling, communicating uncertainty, and tailoring reports by audience

20%

Use Results to Influence Business Decision Making

Evidence-based decisions, cost-benefit analysis, analytical ethics, managing stakeholder resistance, and translating insights to action

9%

Guide Organization-Level Strategy for Business Analytics

Analytics maturity models, Centers of Excellence, data governance frameworks, data culture, and measuring analytics ROI

How to Pass the IIBA-CBDA Exam

What You Need to Know

  • Passing score: Pass/Fail (scaled)
  • Exam length: 75 questions
  • Time limit: 2 hours
  • Exam fee: $250/$405

Keys to Passing

  • Complete 500+ practice questions
  • Score 80%+ consistently before scheduling
  • Focus on highest-weighted sections
  • Use our AI tutor for tough concepts

IIBA-CBDA Study Tips from Top Performers

1Focus heavily on Domains 1, 4, and 5 — each is 20% of the exam and together they account for 60% of scored questions
2Understand the four types of analytics (descriptive, diagnostic, predictive, prescriptive) and when each is appropriate
3Practice distinguishing correlation from causation — this distinction appears frequently in scenario-based questions
4Master data quality dimensions: accuracy/validity, completeness, consistency, timeliness, and uniqueness
5Study data visualization best practices: chart selection, truncated axes, and the principles of data storytelling
6Review ethics principles — data minimization, transparency, algorithmic bias, and privacy — these appear across multiple domains
7Domain 6 (9%) is the smallest but still requires understanding analytics maturity, CoE purpose, and governance frameworks

Frequently Asked Questions

What is the IIBA-CBDA exam?

The IIBA-CBDA (Certification in Business Data Analytics) is IIBA's specialized credential for business analysts performing data analytics work. It covers six blueprint domains from research question formulation through organizational analytics strategy. The exam has 75 scenario-based questions completed in 2 hours via online remote proctoring.

How many questions are on the CBDA exam?

The CBDA exam has 75 multiple-choice, scenario-based questions to be completed within 2 hours. It is delivered online via remote proctoring through IIBA's partner PSI. All questions are competency-based and reflect real-world analytics scenarios.

What is the CBDA passing score?

The CBDA uses a scaled scoring system with a Pass/Fail result. IIBA does not publish the exact cut score. The exam is competency-based, testing application of analytics knowledge across six blueprint domains rather than rote memorization.

How much does the CBDA exam cost?

The CBDA exam fee is $250 for IIBA members and $405 for non-members (USD). IIBA membership ranges from $60 to $155 per year depending on your region, so becoming a member before purchasing the exam is often cost-effective.

What are the CBDA exam prerequisites?

The CBDA has no application fee and no formal prerequisite experience requirements compared to IIBA's core certifications. Candidates should have practical experience in business analysis or data analytics work. Familiarity with the Guide to Business Data Analytics (IIBA) is strongly recommended.