MicroStrategy Analyst study guide
MicroStrategy Analyst · Work through your exam, one topic at a time.
The MicroStrategy Analyst credential (also written as the MicroStrategy Certified Analyst) is a vendor credential for practitioners who build and maintain governed analytics on the MicroStrategy / Strategy Mosaic platform. The publicly available source material does not publish exam logistics - question count, duration, passing score, fee, retake policy and validity period are all unstated - so treat any specific figure you see elsewhere with suspicion and confirm against the vendor's own certification page before booking. The exam is administered in English and, based on the published domain breakdown, splits evenly across four areas: Semantic Layer Fundamentals (25%), Governed Metrics and Definitions (25%), Data Connectivity and Caching (25%), and AI Governance and Access Controls (25%). That split tells you a lot about emphasis. The MicroStrategy Analyst study guide has 4 sections and about 1,171 words.
01Semantic Layer Fundamentals
This domain tests whether you can read a MicroStrategy project's semantic model: how attributes, facts, metrics, hierarchies and relationships turn warehouse columns into business concepts. Expect questions on object roles, granularity, and why a metric returns unexpected totals.
323 words, about 2 min02Governed Metrics and Definitions
This domain tests metric governance: one agreed definition, certified for reuse, with explicit dimensionality and filters. Questions often ask why two reports show different values for the same business term.
285 words, about 1 min03Data Connectivity and Caching
This domain tests how MicroStrategy reaches data and when it can avoid re-querying: connection types, Intelligence Server caches, and cube options. Expect scenario questions on slow reports, stale data, and cache reuse.
281 words, about 1 min04AI Governance and Access Controls
This domain tests who can use AI features, what data the AI can see, and how access is enforced. Expect questions on privileges, ACLs, row and column security, and auditability of AI-generated answers.
282 words, about 1 min