The MongoDB Certified DBA Associate Exam (C100DBA) validates your ability to design, deploy, and manage MongoDB databases in production environments. This certification is ideal for database administrators and engineers who want to demonstrate hands-on expertise with MongoDB's core features and operational practices. This page provides a clear roadmap of exam topics, question formats, and practical preparation strategies to help you build confidence and pass on your first attempt.
Use this topic map to guide your study for MongoDB C100DBA (MongoDB Certified DBA Associate Exam) within the Certified DBA Associate path.
The C100DBA exam combines multiple-choice and scenario-based questions to assess both theoretical knowledge and practical decision-making in MongoDB environments.
Questions progress in difficulty and emphasize practical application, ensuring you can handle production challenges, not just recall facts.
A structured study plan that maps topics to weekly goals and includes hands-on practice will accelerate your readiness. Dedicate time to each domain, then link concepts across replication, sharding, and performance tuning to see how they interact in real deployments.
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Indexing and Performance, Replication, and Sharding typically account for a larger portion of the exam because they directly impact production reliability and scalability. However, all seven domains are tested, so balanced preparation across all topics is essential. Focus extra study time on areas where you have less hands-on experience.
In practice, these domains overlap significantly. A slow query (CRUD and Indexing) may require replica set tuning (Replication) or shard key adjustment (Sharding) to resolve. Server Administration ensures the infrastructure supports your design choices, while Application Administration controls who can access and modify data. Understanding these connections helps you make informed decisions during the exam and in production.
Ideally, you should have at least 6-12 months of practical MongoDB experience, including deployment, query optimization, and basic replication setup. If you are newer to MongoDB, prioritize labs that cover replica set failover, index creation, and sharded cluster operations. Hands-on practice with real failures and recovery scenarios builds confidence and exam readiness.
Candidates often misunderstand shard key implications, confuse replica set read preferences with write concerns, or overlook index selectivity when optimizing queries. Another frequent error is choosing a solution that works in development but doesn't scale in production. Always consider the full operational context and long-term impact, not just immediate functionality.
In your last week, take one full-length timed practice test to identify remaining weak spots, then focus your review on those areas rather than re-studying strong topics. Review question explanations carefully and note any patterns in your errors. Avoid learning new material in the final days; instead, reinforce concepts you already understand and build test-taking confidence.
In order to ensure that you can maintain high availability in the face of server failure, you should implement which of the following?
You perform the following operation in the shell: db.foo.insert( { } ); What gets inserted?
What does the output x of the following MongoDB aggregation query result into; db.posts.aggregate( [ { $group: { _id; "$author", x: { $sum: $likes } } } ] )
Which of the following aggregate commands in MongoDB uses a pipeline approach with the goals of improving the aggregation performance?