MongoDB Basics: MongoDB Basics covers the fundamental concepts and features of MongoDB, including document-oriented data storage, schemaless design, and the use of BSON (Binary JSON) for data representation. This skill should be measured in the test to assess a candidate's understanding of the core concepts that form the foundation of MongoDB.
Data Modeling: Data Modeling focuses on designing the structure and organization of data in MongoDB, including entity-relationship modeling, denormalization, and schema design patterns. It's important to measure this skill to evaluate a candidate's ability to design efficient and scalable data models for MongoDB databases.
CRUD Operations: CRUD Operations refer to Create, Read, Update, and Delete operations performed on MongoDB documents. This skill should be measured to gauge a candidate's proficiency in performing basic database operations, which are essential for working with MongoDB.
Primary MongoDB data types (strings; numbers; arrays; objects): This skill covers the understanding and usage of primary data types in MongoDB, such as strings, numbers, arrays, and objects. It should be assessed to determine a candidate's familiarity with data manipulation and storage in MongoDB.
Query language and query operators: Query language and query operators encompass the syntax and operators used for querying data in MongoDB. Measuring this skill helps assess a candidate's ability to construct complex queries and leverage the full power of MongoDB's query language.
Documents and Collections: Documents and Collections are the building blocks of data storage in MongoDB. This skill measures a candidate's understanding of how documents and collections are structured, organized, and interconnected within a MongoDB database.
Aggregation Framework: Aggregation Framework deals with performing aggregation operations, such as grouping, sorting, and transforming data, in MongoDB. This skill should be measured to evaluate a candidate's proficiency in utilizing MongoDB's powerful aggregation pipeline for advanced data analysis and reporting.
MongoDB Query Plan: The MongoDB Query Plan involves the analysis and optimization of query execution plans, including the use of indexes and query plan cache. This skill should be measured to assess a candidate's ability to optimize query performance and improve overall database efficiency.
MongoDB Profiler: MongoDB Profiler is used to monitor and analyze the performance of MongoDB queries and operations. Measuring this skill helps evaluate a candidate's understanding of profiling techniques and their ability to identify and resolve performance bottlenecks.
Replica Sets and Sharding: Replica Sets and Sharding are MongoDB's mechanisms for achieving high availability and horizontal scalability. This skill measures a candidate's knowledge of how to configure, manage, and troubleshoot replica sets and sharded clusters in MongoDB.
Vertical scaling: Vertical scaling involves increasing the capacity of a single MongoDB server by adding more resources, such as CPU, memory, and storage. Measuring this skill helps assess a candidate's understanding of scaling options and their ability to optimize performance through vertical scaling.
Fault Tolerance and Deployment: Fault Tolerance and Deployment cover techniques for ensuring high availability and reliability in MongoDB deployments, including redundancy, monitoring, and disaster recovery. This skill should be measured to evaluate a candidate's ability to design and maintain fault-tolerant MongoDB infrastructures.
Indexes and Performance: Indexes and Performance focus on optimizing query performance in MongoDB through the use of indexes and proper index selection. Measuring this skill helps assess a candidate's understanding of index types, working principles, and their ability to design efficient indexing strategies.
Security in MongoDB: Security in MongoDB includes authentication, authorization, and other measures to protect data and ensure secure access to MongoDB resources. This skill should be measured to evaluate a candidate's knowledge of MongoDB's security features and their ability to implement robust security practices.
Backup and Recovery: Backup and Recovery encompasses strategies and tools for creating backups, restoring data, and recovering from failures in MongoDB. Measuring this skill helps assess a candidate's understanding of backup mechanisms, recovery processes, and their ability to ensure data integrity and availability.
