MongoDB Associate Data Modeler Exam Overview The MongoDB Associate Data Modeler exam checks that you can design, build and evolve data models on MongoDB and bring data governance into that work. It leans on judgment: given a workload and a symptom, which pattern, index or validation rule fixes it. Roughly three quarters of the exam is schema patterns, anti-patterns and indexing.
Exam Details (from the 📖 exam page 📖 exam study guide Exam Name: MongoDB Associate Data Modeler (no exam code published) - Duration: 110 minutes - Number of Questions: 75 multiple choice, one correct answer; a handful of unscored questions may be added - Passing Score: Not published - Cost: $150 USD - Delivery: Online proctored; no reference materials - Languages: English - Validity: Not stated on the exam page; the Certification Program Guide (gated) was not read, so validity and retake rules are unverified - Prerequisites: None
Exam Domains # Domain Weight Notes 1 Advanced Schema Design Patterns & Anti-patterns 15% 01 2 Fundamentals of Data Transformation 6% 02 3 CRUD Operations 3% 03 4 Relational to Document Model 12% 04 5 Performance Tools and Techniques 6% 05 6 Indexing Design Fundamentals 15% 06 7 Schema Design Optimization 16% 07 8 Monitoring and Evolving Data Models 27% 08
What each domain covers Advanced patterns - Approximation, Schema Versioning, schema evolution and migration.Data transformation - aggregation pipelines, the core stages, explain on a pipeline.CRUD - insert, query, update and delete with operators and array constraints.Relational to document - embedding versus referencing, relationship types, schema validation.Performance tools - the profiler, slow queries, explain(), index effectiveness.Indexing - index types and costs, ESR, prefixes, sort order, selectivity.Schema optimization - Single Collection, Subset, Bucket, Outlier, Archive, sharding impact.Monitoring and evolving - Inheritance, Computed, Extended Reference, unbounded arrays, bloated documents. Names to know Name Note Approximation, Computed Both sit under "Handle Computed Values" in the current manual Bucket, Outlier Both sit under "Group Data" Inheritance A pattern in the "Polymorphic Data" family Subset, Extended Reference Described in MongoDB's "Building with Patterns" blog series; the manual does not have standalone pages for them Domain 8 title "Monitoring and Evolving Data Models", but its objectives are patterns and anti-patterns
Study Approach Phase 1: Foundations (Week 1) Notes 03, 04 and 02 in that order: CRUD, embed versus reference with validation, and aggregation. Phase 2: The heavy domains (Weeks 2-3) Notes 08, 07 and 01: the patterns and anti-patterns that make up 58% of the exam. Note 06: indexing and ESR. Phase 3: Verify and review (Week 4) Note 05, then the practice bank and scenarios, then the weakest note's ending. Study Resources Tips for Success Name the symptom. Most questions say what hurts; name the fix.Memorize trade-offs. Each pattern costs something: staleness, duplication, extra reads.Learn ESR cold, including when ERS is better.Do not skip small domains like CRUD; they are cheap marks. File Index File Description fact-sheet.md Exam facts and key facts per domain, with documentation links strategy.md Study phases and exam tactics practice-plan.md Four-week reading schedule scenarios.md Exam-style scenarios with solutions notes/01-advanced-schema-design-patterns-and-anti-patterns.md Approximation, versioning, migration notes/02-fundamentals-of-data-transformation.md Aggregation pipelines notes/03-crud-operations.md CRUD and array queries notes/04-relational-to-document-model.md Embedding, referencing, validation notes/05-performance-tools-and-techniques.md Profiler and explain notes/06-indexing-design-fundamentals.md Index types, ESR, prefixes notes/07-schema-design-optimization.md Single Collection, Subset, Bucket, Outlier, Archive, sharding notes/08-monitoring-and-evolving-data-models.md Inheritance, Computed, Extended Reference, anti-patterns Practice questions 25 questions tagged by domain