Get All Certification in Business Data Analytics Exam Questions with Validated Answers
Vendor:
IIBA
Exam Code:
CBDA
Exam Name:
Certification in Business Data Analytics
Exam Questions:
152
Last Updated:
August 22, 2026
Related Certifications:
IIBA Specialized Business Analysis Certifications
Exam Tags:
Intermediate LevelBusiness Analysts
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Free IIBA CBDA Exam Actual Questions
Question No. 1
A consumer products company gained popularity with increased growth and brand recognition with one of its products. Although they have a loyal customer base and past year's performance results have shown steady growth, the Senior Leadership team wants to keep product leadership as their primary strategic priority. What would be their primary goal?
A 3rd party is marketing an application for financial institutions to use for credit scoring. This application is an example of what type of analytics?
After analyzing sales data, the analytics team finds that the older the customer, the more expensive the neckties purchased. The team felt this was a breakthrough insight but on closer analysis realized that other factors could account for this relationship. This is a clear indication that:
The analytics team found a correlation between the age of the customer and the price of the neckties purchased, meaning that as one variable changes, the other tends to change in the same direction. However, this correlation does not imply causation, meaning that one variable does not necessarily cause the other to change. There could be other factors, such as income, preference, or quality, that affect both variables and create a spurious relationship. Therefore, the team realized that they need to investigate further to determine if there is a causal link between the variables, or if the correlation is coincidental12 Reference: 1: Correlation vs. Causation | Difference, Designs & Examples - Scribbr 2: Correlation vs Causation: Understanding the Differences - Statistics By Jim
Question No. 4
A fifty-year-old brick and mortar business is interested in determining the potential for selling their current products online. The sales director has asked the analytics team to predict future sales for their most popular product. A simple question is formed "Would you buy this product online?" The sales director would like to survey students from local colleges and universities within a 50km radius. As a result, the team will conclude:
An analyst at a phone manufacturing company is preparing a dashboard for Senior Executives that will cover past year's performance. It will be used in the upcoming senior leadership team meeting to make strategic decisions for the new year. While analyzing the data, the analyst found a lot of interesting revelations related to performance. What should the analyst keep in mind when preparing the Executive dashboard?
When preparing an executive dashboard, the analyst should keep in mind that the purpose of the dashboard is to provide a quick and clear overview of the past year's performance and to support strategic decision making for the new year. Therefore, the analyst should keep the dashboard high-level, summarizing the key insights and metrics that are relevant and meaningful for the senior executives. The analyst should avoid cluttering the dashboard with too much detail or information that is not essential for the executives. The analyst should also use visual features, such as charts, graphs, and colors, to display the data in an organized and appealing way12 Reference: 1: Executive Dashboards: 10 Reporting Tips and Examples [2023] * Asana 2: How to Create Executive Dashboard & Reports - Ubiq BI
