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IIBA CBDA Exam Questions
- Topic 1: Financial Transactions and Fraud Schemes: This section evaluates your understanding of fraudulent financial transactions in accounting records. You'll need to showcase your knowledge of fundamental accounting and auditing principles, various fraud schemes, fraud deterrence through internal controls, additional relevant accounting and auditing topics.
- Topic 2: Law: This portion examines your grasp of legal frameworks used in prosecuting fraud cases. It also assesses your awareness of the legal implications involved in conducting fraud examinations such as elements of criminal and civil law, evidentiary rules, and legal rights of defendants and plaintiffs.
- Topic 3: Investigations: This domain assesses your proficiency in essential investigative techniques for gathering evidence and identifying fraud perpetrators and it covers effective interviewing strategies, methods for obtaining statements, accessing and utilizing public records, techniques for tracking illicit financial activities Recognizing deceptive behavior, and crafting comprehensive investigation reports.
- Topic 4: Fraud Prevention and Deterrence: In this segment, candidates are tested for their knowledge of fraud motivations and preventive measures such as theories of criminal behavior, characteristics of white-collar crime, patterns in occupational fraud, strategies for fraud prevention, conducting fraud risk assessments, ethical standards as outlined in the ACFE Code of Professional Ethics.
Free IIBA CBDA Exam Actual Questions
Note: Premium Questions for CBDA were last updated On Jun. 21, 2026 (see below)
The team has completed their analysis on a vast amount of collected data and agree on their recommendations for action.
However, they are having difficulty in developing the appropriate messages to support their recommendations. The business analysis professional suggests which technique to assist the team?
Storyboarding is a technique that helps the team to develop the appropriate messages to support their recommendations by creating a visual sequence of the main points, evidence, and actions. Storyboarding helps the team to organize their thoughts, identify gaps, and communicate their findings in a clear and compelling way12 Reference: 1: Developing Key Messages for Effective Communication - MSKTC 2: 11 Ways Highly Successful Leaders Support Their Team - Redbooth
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?
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. Reference:
* 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
The definition of data elements is different across various data sources. The organization is looking to improve the usability of data across the organization. Which practice would help address this problem?
Data governance is the practice of establishing and enforcing policies, standards, roles, and responsibilities for the management and use of data across the organization. Data governance helps to address the problem of inconsistent data definitions across various data sources by ensuring that data is properly defined, documented, classified, and aligned with the business objectives and requirements12. Reference: 1: Guide to Business Data Analytics, IIBA, 2020, p. 292: Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program, John Ladley, 2012, p. 3.
A large telecommunications company wants to increase their Average Revenue Per User per month by 5%, by end of year, to increase revenue in a highly competitive market. From a SMART target perspective, what is missing?
A SMART target is one that is specific, measurable, achievable, relevant, and time-bound1. The target of increasing the Average Revenue Per User (ARPU) per month by 5%, by end of year, to increase revenue in a highly competitive market is missing the specificity criterion, as it does not mention which product group or line the target applies to. The target should be more specific and clear about the scope and context of the desired outcome, such as which segment, region, or service the target relates to23. Reference: 1: Guide to Business Data Analytics, IIBA, 2020, p. 192: SMART Goals: How to Make Your Goals Achievable, MindTools, 2021, 13: How to Set SMART Marketing Goals, CoSchedule, 2021, 2.
A professor at a university has received a few complaints of the exams being too difficult. The professor is looking at exam performance results over the past 5 years to understand the normal tendency and outliers. Which chart should the professor use?
A scatterplot is a type of chart that shows the relationship between two variables by plotting data points on a two-dimensional plane. A scatterplot can help the professor to understand the normal tendency and outliers of exam performance results over the past 5 years by displaying the distribution, trend, and correlation of the data. For example, the professor can use the x-axis to represent the year and the y-axis to represent the exam score, and see how the scores vary over time and across different exams. Outliers can be identified as data points that are far away from the main cluster or the line of best fit12 Reference: 1: Scatter Plot - Statistics How To 2: Scatterplots - IIBA BABOK Guide v3
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