MCQs on Integration and Ecosystem | MongoDB MCQs
MongoDB provides a powerful, flexible, and scalable platform for modern applications. Its ecosystem includes MongoDB Atlas, seamless integrations with popular programming languages (Node.js, Python, Java), containerization with Kubernetes and Docker, and robust monitoring tools like Compass and MongoDB CLI. Explore these topics to build and optimize MongoDB-based solutions.
MCQs on Integration and Ecosystem
1. MongoDB Atlas Overview
- What is MongoDB Atlas?
a) A desktop application for MongoDB
b) A fully managed cloud database service
c) A command-line tool
d) A schema design tool - Which cloud providers support MongoDB Atlas?
a) AWS, Google Cloud, Azure
b) DigitalOcean, IBM Cloud, Oracle
c) AWS, Alibaba Cloud, IBM Cloud
d) Azure, Tencent Cloud, Rackspace - What feature in MongoDB Atlas ensures high availability?
a) Shared collections
b) Global write distribution
c) Multi-region clusters
d) Local-only backups - MongoDB Atlas provides backups using:
a) Manual snapshots
b) Incremental backups only
c) Continuous and on-demand backups
d) Sharded cluster duplication - How does MongoDB Atlas simplify scaling?
a) By automating vertical scaling
b) By offering serverless options
c) By allowing manual server upgrades only
d) By disabling auto-sharding
2. Integration with Programming Languages
- Which official MongoDB driver is used with Node.js?
a) pymongo
b) mongodb
c) mongo-driver
d) bson.js - In Python, which library is commonly used for MongoDB operations?
a) MongoClient
b) PyMongo
c) FlaskMongo
d) DjangoORM - Which Java library provides official MongoDB support?
a) Mongo4J
b) JMongo
c) MongoDB Java Driver
d) JDBC Mongo - When integrating MongoDB with Node.js, which method is used to establish a connection?
a) Mongo.connect()
b) MongoDB.create()
c) MongoClient.connect()
d) dbConnect() - In Python, how do you create a MongoDB collection?
a) db.createCollection(name)
b) database.collection(name)
c) db[name].insertOne()
d) client.create(name)
3. Using MongoDB with Kubernetes and Docker
- What is the primary benefit of running MongoDB in Docker containers?
a) Increased query speed
b) Consistent deployment across environments
c) Reduced data replication needs
d) Simplified authentication - Which command is used to pull the official MongoDB Docker image?
a) docker fetch mongodb
b) docker pull mongo
c) docker download mongodb
d) docker image mongodb - In a Kubernetes setup, MongoDB is typically deployed as:
a) A static pod
b) A StatefulSet
c) A ReplicaSet
d) A Deployment - What file is used to configure a MongoDB StatefulSet in Kubernetes?
a) JSON file
b) YAML file
c) INI file
d) XML file - How does Kubernetes ensure persistent storage for MongoDB?
a) Through ConfigMaps
b) Through PersistentVolumeClaims
c) By using shared memory
d) By enabling auto-snapshots
4. Monitoring Tools
- MongoDB Compass is primarily used for:
a) Command-line operations
b) Visualizing and managing data
c) Automating backups
d) Building container images - Which command is used to install MongoDB CLI?
a) apt-get install mongo-cli
b) brew install mongocli
c) npm install mongocli
d) pip install mongocli - What feature of MongoDB CLI allows easy monitoring?
a) Query execution
b) Connection pooling
c) Metrics and logs
d) Schema design - Which third-party monitoring tool is commonly used with MongoDB?
a) Prometheus
b) New Relic
c) Datadog
d) All of the above - The purpose of MongoDB Atlas Performance Advisor is:
a) Analyzing application performance
b) Recommending index optimizations
c) Backing up data
d) Scaling clusters automatically
5. Advanced Integration and Ecosystem
- What is the default port for MongoDB?
a) 8080
b) 3306
c) 27017
d) 5432 - How can you secure MongoDB instances in a Docker container?
a) Expose all ports
b) Use environment variables for credentials
c) Disable authentication
d) Run as root user - Which programming language is NOT officially supported by MongoDB drivers?
a) Ruby
b) PHP
c) Swift
d) COBOL - MongoDB Atlas supports automated alerts for:
a) Disk space usage
b) Query performance issues
c) Network latency
d) All of the above - What does “connection pooling” in MongoDB drivers achieve?
a) Faster reconnections to the database
b) Reduced database redundancy
c) Simplified query execution
d) Increased document size limits - The MongoDB Kubernetes Operator helps by:
a) Automating deployments
b) Managing cluster configurations
c) Monitoring MongoDB pods
d) All of the above - In Docker, what is the purpose of the
--networkflag when running MongoDB?
a) Isolating MongoDB from other containers
b) Creating a shared network for containers
c) Reducing query latency
d) Increasing container storage - What does the “mongostat” tool do?
a) Analyzes collection design
b) Monitors database performance metrics
c) Automates backup scheduling
d) Validates BSON documents - In Kubernetes, which MongoDB feature ensures replica consistency?
a) Arbiter nodes
b) ConfigMaps
c) StatefulSets
d) Service bindings - What is the purpose of MongoDB Atlas Data Federation?
a) Synchronizing with relational databases
b) Querying and combining data from multiple sources
c) Creating read-only replicas
d) Automating schema migrations
Answer Key
| QNo | Answer (Option with Text) |
|---|---|
| 1 | b) A fully managed cloud database service |
| 2 | a) AWS, Google Cloud, Azure |
| 3 | c) Multi-region clusters |
| 4 | c) Continuous and on-demand backups |
| 5 | b) By offering serverless options |
| 6 | b) mongodb |
| 7 | b) PyMongo |
| 8 | c) MongoDB Java Driver |
| 9 | c) MongoClient.connect() |
| 10 | a) db.createCollection(name) |
| 11 | b) Consistent deployment across environments |
| 12 | b) docker pull mongo |
| 13 | b) A StatefulSet |
| 14 | b) YAML file |
| 15 | b) Through PersistentVolumeClaims |
| 16 | b) Visualizing and managing data |
| 17 | b) brew install mongocli |
| 18 | c) Metrics and logs |
| 19 | d) All of the above |
| 20 | b) Recommending index optimizations |
| 21 | c) 27017 |
| 22 | b) Use environment variables for credentials |
| 23 | d) COBOL |
| 24 | d) All of the above |
| 25 | a) Faster reconnections to the database |
| 26 | d) All of the above |
| 27 | b) Creating a shared network for containers |
| 28 | b) Monitors database performance metrics |
| 29 | a) Arbiter nodes |
| 30 | b) Querying and combining data from multiple sources |