MongoDB Certificate
Earn the MongoDB certificate by passing the exam and submitting a production-style data layer.
Certificate outline
EXAMPLE
# MongoDB certificate - outline ## Part 1 - exam (60 min) Topics: - Data modelling: embed vs reference - CRUD + bulk writes - Indexes: compound, partial, multikey, TTL - Aggregation framework - Transactions - Replication + sharding basics - Security: auth, RBAC, network, encryption Passing mark: 70 percent. ## Part 2 - capstone (take-home, ~10 hours) Ship a small data layer: - A schema with at least 4 collections and clear embed/reference choices - 10+ aggregations - at least one with \$lookup and one with \$merge for a materialised view - Indexes deliberately created + an explain plan for each query you ship - Transactions on at least one write path - A script + scheduled job that runs a daily TTL cleanup - Atlas (or self-hosted replica set) with a documented backup + restore drill Submit a Git repo with schemas, scripts, and a one-page Architecture Decision Record per choice. ## Grading - Schema design + indexes (40 percent) - Aggregations + performance (25 percent) - Operations: backups, monitoring, alerting (20 percent) - Documentation (15 percent) ## Tips - One ADR per non-obvious choice (embed vs reference, compound index order) - Use the Atlas Performance Advisor in dev - Test a restore - that is the only proof your backups work
Why it matters
A Mongo certificate is meaningful when it includes operations. Backups, monitoring, and a documented restore drill are what separate a database that survives an incident from one that does not.
Tip: Tweak the snippet with Try it Yourself », then sit the quiz at the bottom of the page.
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