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Which MongoDB C100DEV Exam objectives are covered in the exam?
The MongoDB C100DEV exam is a new certification for MongoDB developers. It has been developed to help you demonstrate your knowledge of basic MongoDB features and to help you prepare for the more advanced MongoDB Engineer Certification. MongoDB C100DEV Dumps is the best and most effective way to pass your MongoDB Certified Developer 100-Dev certification.
The exam will cover:
Basic Concepts: These include topics such as installation, configuration, and concepts like the underlying architecture of MongoDB.
Core Concepts: Topics include data modeling, documents, indexes, queries, and performance tuning.
Advanced Concepts: Advanced topics include sharding and replication across multiple instances of MongoDB.
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How to become a MongoDB Certified Developer Associate
The MongoDB Certified Developer Associate certification is the first step to becoming a MongoDB developer.
To become certified, you need to pass one exam that tests your knowledge of the MongoDB query language, database administration, and application development.
The exam is available in English
You can take the exam at any Pearson VUE testing center around the world.
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MongoDB C100DEV Exam Syllabus Topics:
| Section | Objectives |
| Topic 1: Data Modeling and Schema Design | - Validation and constraints
- 1. Schema validation rules
- Schema design patterns
- 1. Embedding vs referencing
- 2. Data normalization strategies
|
| Topic 2: Application Development with MongoDB Drivers | - Transactions
- 1. Multi-document ACID transactions
- Driver usage
- 1. CRUD via official drivers
- 2. Connection handling and pooling
|
| Topic 3: Indexes and Performance | - Query optimization
- 1. Explain plans and performance tuning
- Index types
- 1. Single field and compound indexes
- 2. Text and geospatial indexes
|
| Topic 4: Security and Access Control | - Authentication and authorization
- 1. Role-based access control (RBAC)
- 2. Users and privileges
|
| Topic 5: MongoDB Fundamentals | - MongoDB architecture and document model
- 1. BSON and JSON structure
- 2. Collections and documents
- CRUD operations
- 1. Insert, update, delete operations
- 2. Query filters and projections
|
| Topic 6: Aggregation Framework | - Aggregation pipeline
- 1. Stages ($match, $group, $project, $sort)
|