About the Exam
The MongoDB Certified Developer, Associate Level exam is intended for
individuals with knowledge of the fundamentals of designing and
building applications using MongoDB. We recommend this certification
for software engineers who have a solid understanding of MongoDB
fundamentals and some professional experience developing applications
with MongoDB. The knowledge and skills required for certification are
detailed below.
What are the Benefits?
Increase the Value of Your Skills
MongoDB ranks as one of the hottest job trends and one of the most highly compensated technology skills.
Get Hired or Promoted
Increase your visibility among hiring managers and recruiters.
Demonstrate Professional Credibility
Foster credibility with your employer and peers in the developer and operations communities.
Recommended Study & Training Materials
- Anyone may take the exam but we do recommend you complete an in-person training or take the following online courses:
- The MongoDB Certification Practice Exams are the best way to prepare for your exam. Build confidence by familiarizing yourself with the subject areas and format of the certification exam. After completing your practice exam, identify knowledge gaps by taking a look at your incorrect answers. Each answer has detailed explanations with links to relevant resources.
- The MongoDB Certification Exam Study Guide is another great preparation resource. It’s a guide to all of the topics on the exam, with links to the appropriate documentation to help exam takers to review. It also covers the practical details of taking the exam, like computer requirements and proctoring.
- You should also make use of other recommended preparation materials like:
Required MongoDB Knowledge
- Philosophy & Features: performance, JSON, BSON, fault tolerance, disaster recovery, horizontal scaling, and the Mongo shell
- CRUD: Create, Read, Update, and Delete operations
- Data Modeling: embedding, references, document growth, modeling one-to-one and one-to-many relationships, modeling for atomic operations, modeling tree structures
- Indexing and Performance: single key, compound, multi-key, mechanics, storage engines, and performance
- Aggregation: pipeline, operators, memory usage, sort, skip, and limit
- Replication: configuration, oplog concepts, write concern, elections, failover, and deployment to multiple data centers
- Sharding: components, when to shard, balancing, shard keys, and hashed shard keys
Required General IT Knowledge
- Fundamental database concepts
- Fundamentals of system programming
- Basic JavaScript programming
- Fundamentals of software development