MongoDB Certified DBA Associate Practice Test
Build your confidence for MongoDB Certified DBA Associate. Practice the concepts, understand the answers, and strengthen your knowledge one question at a time.
Try a sample questionExam overview and details
MongoDB DBA certification covering replica sets, sharding, security, backup and recovery, monitoring, and MongoDB cluster administration. Administered by MongoDB. Key domains include Backup, Recovery, and Disaster Recovery Planning, Data Modeling and Schema Design, Database Architecture and Deployment and Monitoring and Backup Operations.
Sample Questions
Choose an answer and explore the explanation to see how practice works.
A MongoDB deployment requires encrypted client-to-server network traffic. Which setting family is directly relevant?
A MongoDB 8.0 cluster adds new shards, but an existing collection remains uneven even with the same shard key. Which operation is relevant in 8.0 when redistribution is needed without changing the shard key?
A DBA wants to reduce the chance of losing acknowledged writes during primary failure. Which write concern should be preferred for critical writes?
A collection is sharded on an ascending timestamp and receives only current-time inserts. One shard receives nearly all new writes. What is the most likely design problem?
A reporting application needs to subscribe to committed data changes from a MongoDB deployment without manually tailing local.oplog.rs. Which MongoDB feature is intended for this pattern?
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Exam insights and study advice
In the real world, theoretical knowledge alone is insufficient for maintaining a reliable database system. This exam matters because it tests your ability to execute actual commands and solve problems in a simulated environment, mirroring the tasks you perform daily. It validates that you can not only understand concepts but also apply them to ensure data availability, enforce security policies, optimize query performance, and recover from failures-skills that directly impact an organization's operational resilience and data integrity.