• Courses
• Tutorials
• Interview Prep

• Atomicity, Consistency, Isolation, Durability

• Aggregation, Clustering, Indexing, Durability

• Authentication, Consistency, Integrity, Data Model

• Atomicity, Caching, Isolation, Database

• Replica Sets

• Aggregation Framework

• Sharding

• Transactions

• When related data is frequently accessed together

• When data needs to be normalized

• When you have many-to-many relationships

• When foreign key constraints are required

• To speed up aggregation queries

• To distribute data across multiple shards

• To provide high availability and data redundancy

• To enforce schema validation

• A node responsible for backup operations

• The node that handles all write operations

• A secondary node used only for reads

• A configuration node for routing queries

• It uniquely identifies documents in a collection

•  It determines how data is distributed across shards

• It indexes documents for fast retrieval

• It compresses data for efficient storage

• Ranged sharding distributes data evenly, while hashed sharding clusters similar values

•  Ranged sharding is used for unstructured data, while hashed sharding is used for numeric data

• Ranged sharding stores values in an increasing order, while hashed sharding distributes them randomly

• Ranged sharding uses a round-robin approach, while hashed sharding sorts data in memory

• By setting "auth": true in the MongoDB configuration file

• By using the $auth command in the shell

• By enabling read-only mode for users

• By granting dbAdmin privileges to all users

•  Allows users to create custom indexes

• Grants different access levels based on assigned roles

• Encrypts all database operations

•  Prevents query execution unless manually approved

• Run MongoDB on the default 0.0.0.0 IP address
  

• Disable authentication for all users

•  Enable TLS/SSL encryption and restrict network access

• Store passwords in plaintext for easy recovery

There are 10 questions to complete.