MAC Study Guide 2026
Everything you need to pass the MAC exam in one place: the exam format, every topic to study, real practice questions with explanations, flashcards, and full-length practice tests. Free, no sign-up needed.
📋 MAC Exam Format at a Glance
📚 MAC Topics to Study (69)
✍️ Sample MAC Questions & Answers
1. In A/B testing, what is a 'false positive' (Type I error)?
A false positive (Type I error) occurs when you incorrectly conclude that a variant outperforms the control when the observed difference is actually random.
2. A cross-functional marketing analytics project is delayed because the data engineering team and marketing team have conflicting priorities. As project lead, what is the BEST approach?
A joint prioritization session surfaces each team's constraints and fosters collaborative solutions without requiring escalation.
3. Which type of attribution model typically uses machine learning algorithms to assign credit based on actual conversion data?
Data-Driven attribution uses machine learning to analyze conversion paths and assign credit based on the actual impact of each touchpoint.
4. Which technique is used to reduce dimensionality by transforming features into uncorrelated principal components?
PCA projects data onto orthogonal principal components that capture the most variance, reducing the number of features while preserving information.
5. A marketing analytics team is consistently missing sprint deadlines. After reviewing workloads, you find tasks are unevenly distributed. What should you do?
Redistributing tasks based on capacity and skill ensures equitable workloads and sustainable sprint velocity.
6. In marketing analytics projects, what does a Work Breakdown Structure (WBS) primarily help a project manager accomplish?
A WBS breaks the total project scope into smaller, manageable components called work packages, making planning and control easier.