C1000DEV Exam Information and Guideline
MongoDB Certified Developer Associate
Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.
Exam Specification:
- Exam Name: C1000DEV MongoDB Certified Developer Associate
- Exam Code: C1000DEV
- Exam Duration: 90 minutes
- Exam Format: Multiple-choice questions
- Passing Score: 65% or higher
Course Outline:
1. Introduction to MongoDB and Data Modeling
- Overview of MongoDB and its key features
- Introduction to NoSQL databases and document-oriented data model
- Designing effective MongoDB data models
2. CRUD Operations and Querying MongoDB
- Performing create, read, update, and delete operations in MongoDB
- Querying data using MongoDB Query Language (MQL)
- Working with indexes and optimizing query performance
3. Aggregation Framework and Data Analysis
- Understanding the MongoDB Aggregation Framework
- Performing data analysis and complex aggregations
- Utilizing pipeline stages, operators, and expressions
4. Data Replication and High Availability
- Configuring replica sets for data replication and high availability
- Managing replica set elections and failover
- Implementing read preference and write concern
5. MongoDB Security and Performance Optimization
- Securing MongoDB deployments using authentication and authorization
- Implementing access controls and user management
- Monitoring and optimizing MongoDB performance
Exam Objectives:
1. Demonstrate knowledge of MongoDB fundamentals, including its data model and key features.
2. Perform CRUD operations and write queries using MongoDB Query Language.
3. Understand and utilize the MongoDB Aggregation Framework for data analysis.
4. Configure and manage MongoDB replica sets for data replication and high availability.
5. Implement MongoDB security measures and optimize performance.
Exam Syllabus:
The exam syllabus covers the following topics (but is not limited to):
- MongoDB fundamentals and data modeling
- CRUD operations and querying MongoDB
- Aggregation Framework and data analysis
- Data replication and high availability with replica sets
- MongoDB security and performance optimization