MongoDB Certified Developer Associate Certification
Interested in NoSQL? Gain new skills and advance your career with MongoDB Certified Developer Associate Certification.
MongoDB Certified Developer Associate salary: According to Indeed, the average salary for MongoDB Certified Developer ranges from approximately $93,381 yearly for Developer to $112,777 yearly for Full Stack Developer.
About MongoDB Certified Developer Associate Certification
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.
Exam cost: 150 USD.
What are the benefits for you?
- 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.
MongoDB Certified Developer Associate Certification Exam Format & Grading:
- MongoDB certification exams are delivered online using a web proctoring solution.
- You have 90 minutes to complete an exam.
- Exam question types are multiple choice and check all that apply.
- There is no penalty for incorrect answers.
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
You might also like