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Prerequisites of MongoDB Certified Developer Associate Exam
The MongoDB Certified Developer Associate Exam is a multiple-choice exam.
Prerequisites:
To take the exam, you must first become a member of the MongoDB University Program. You can do this by registering for an account at MongoDB signup.
The following are recommended prerequisites for taking this exam:
Basic knowledge of SQL and relational databases;
An understanding of JavaScript programming;
Working knowledge of UNIX or Linux operating systems.
The advantages of having a MongoDB C100DEV Certification
MongoDB is one of the most popular databases in use today and it is used by many companies and organizations. The MongoDB C100DEV is a certification that ensures that the person has the knowledge and skills required to work with MongoDB effectively. In this article, we will discuss some of the benefits of having this certification.
You will increase your chances of being promoted within your current organization if you have any other relevant certifications such as M100DBA or M100ADMIN
It helps you stand out from other candidates when applying for jobs or promotions within an organization that uses MongoDB.
MongoDB C100DEV Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Indexing & Query Performance | 15% | - Compound & multikey indexes - Query optimization & explain plans - Index types & properties |
| Topic 2: MongoDB Fundamentals & Data Modeling | 15% | - Schema design & data modeling patterns - BSON types & data representation - Document model & key features |
| Topic 3: Sharding & Security | 15% | - Sharding architecture & components - Authentication & authorization - Basic security best practices |
| Topic 4: Replication & High Availability | 15% | - Failover & election concepts - Write concern & read preference - Replica set architecture |
| Topic 5: CRUD Operations & Querying | 20% | - Query operators, projections, sorting - MongoDB Query Language (MQL) - Create, Read, Update, Delete operations |
| Topic 6: Aggregation Framework | 20% | - Data transformation & analysis - Expressions & operators - Aggregation pipeline stages |
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