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NoSQL Quiz - MCQ - Multiple Choice Questions | JavaInUse

NoSQL Quiz - MCQ - Multiple Choice Questions

Q. What is NoSQL?

A. A type of SQL database
B. A non-relational database technology that allows for flexible schema design and scalability
C. A programming language used to query SQL databases
D. None of the above

Q. What are the main types of NoSQL databases?

A. Key-Value, Document, Graph, and Relational
B. Key-Value, Document, Graph, and Object-Oriented
C. Key-Value, Tabular, Graph, and Document
D. Relational, Object-Relational, Document-Oriented, and Graph

Q. Which of the following is NOT a benefit of using a NoSQL database?

A. Improved performance for large datasets
B. Support for complex transactions
C. Flexible schema design
D. Scalability to handle high volumes of data

Q. Which NoSQL database type is best suited for social networking applications?

A. Key-Value
B. Document
C. Graph
D. Object-Oriented

Q. Which NoSQL database type is best suited for storing and retrieving JSON documents?

A. Key-Value
B. Document
C. Graph
D. Object-Oriented

Q. What is data denormalization, and why is it commonly used in NoSQL databases?

A. Combining multiple tables into a single table to reduce join operations
B. Storing redundant data to improve read performance
C. Splitting a large table into multiple smaller tables
D. Converting a relational database into a NoSQL database

Q. What is CAP theorem, and what are its implications for NoSQL databases?

A. It states that a distributed system can only guarantee two out of three properties: Consistency, Availability, and Partition tolerance
B. It proves that a distributed database can always provide strong consistency and availability
C. It ensures that a distributed system can handle network partitions without losing data
D. It guarantees that a distributed database will always be consistent and partition-tolerant

Q. What is sharding in the context of NoSQL databases?

A. The process of splitting a database into multiple smaller databases
B. A technique for replicating data across multiple servers
C. A method for distributing data evenly across a cluster of machines
D. A way to ensure data consistency across multiple data centers

Q. What is a document database?

A. A database that stores data in tables with rows and columns
B. A database that uses a hierarchical model to organize data
C. A database that stores semi-structured data as documents
D. A database that models data as objects and their relationships

Q. What is eventual consistency in NoSQL databases?

A. A consistency model where all replicas eventually have the same data
B. A guarantee that all writes will be immediately visible to all reads
C. A property ensuring that all writes are applied in the same order on all replicas
D. A technique to ensure strong consistency by blocking reads until writes are complete





Q. What is a key-value store?

A. A database that stores data in tables with rows and columns
B. A database that uses a hierarchical model to organize data
C. A database that stores data as key-value pairs
D. A database that models data as objects and their relationships

Q. What is a distributed NoSQL database?

A. A NoSQL database that runs on a single, powerful server
B. A NoSQL database that is replicated across multiple servers
C. A NoSQL database that is partitioned and distributed across a cluster of machines
D. A NoSQL database that is designed to work with distributed file systems

Q. What is a NoSQL database query language?

A. A language used to define and manipulate data in a NoSQL database
B. A programming language extension for querying NoSQL databases
C. A query language similar to SQL, but designed for NoSQL databases
D. A domain-specific language for defining data transformations in NoSQL databases

Q. What is a NoSQL database index?

A. A data structure that improves the speed of data retrieval operations
B. A unique identifier assigned to each document in a NoSQL database
C. A technique for organizing data in a hierarchical manner
D. A method for ensuring data consistency across multiple replicas

Q. What is polyglot persistence?

A. The ability to use multiple programming languages within a single NoSQL database
B. The practice of using multiple types of NoSQL databases within a single application
C. A technique for replicating data across multiple database technologies
D. A design pattern for achieving strong consistency in distributed NoSQL databases

Q. Which of the following NoSQL databases is classified as a key-value store?

A. MongoDB
B. Cassandra
C. Redis
D. CouchDB

Q. You are designing a social media platform and need to store user profiles. Each profile includes basic information like name, age, and location, as well as a list of their posts. Which NoSQL database model would be most suitable for this scenario?

A. Key-Value Store
B. Document Database
C. Graph Database
D. Column Family Store

Q. Which of the following code snippets demonstrates the correct way to insert a document into a MongoDB collection using the Mongo Shell?

A.
db.collection.add({ name: "John", age: 25 });
B.
db.collection.insertOne({ name: "John", age: 25 });
C.
db.collection.save({ name: "John", age: 25 });
D.
db.collection.create({ name: "John", age: 25 });

Q. You have a MongoDB collection with documents representing books. Each document has a title, author, and publication year. You want to retrieve all books published after a certain year. Which MongoDB query would you use?

A.
db.books.find({ "publicationYear": { $gt: 2000 } });
B.
db.books.find({ "publicationYear": { $gte: 2000 } });
C.
db.books.find({ "publicationYear": { $lt: 2000 } });
D.
db.books.find({ "publicationYear": { $lte: 2000 } });

Q. You are using Apache Cassandra and need to create a table to store user login events. Each event includes a user ID, timestamp, and IP address. Which CQL (Cassandra Query Language) command would you use to create this table?

A.
CREATE TABLE login_events (
    user_id int,
    timestamp timestamp,
    ip_address text,
    PRIMARY KEY (user_id, timestamp)
);
B.
CREATE TABLE login_events (
    user_id int PRIMARY KEY,
    timestamp timestamp,
    ip_address text
);
C.
CREATE TABLE login_events (
    user_id int,
    timestamp timestamp,
    ip_address text,
    PRIMARY KEY (timestamp, user_id)
);
D.
CREATE TABLE login_events (
    event_id int PRIMARY KEY,
    user_id int,
    timestamp timestamp,
    ip_address text
);

Q. You are working with a large-scale e-commerce platform and need to store product reviews. Each review includes a product ID, user ID, rating, and text comment. You anticipate a high volume of writes and reads. Which DynamoDB table design would be most suitable for this scenario?

A.
Table: ProductReviews
Partition Key: product_id
Sort Key: review_id
B.
Table: ProductReviews
Partition Key: product_id
Sort Key: user_id
C.
Table: ProductReviews
Partition Key: user_id
Sort Key: product_id
D.
Table: ProductReviews
Partition Key: review_id
Sort Key: product_id

Q. You have a collection of data in JSON format and want to import it into your MongoDB database. Which of the following commands would you use?

A.
mongoimport --db mydb --collection mycollection --file data.json
B.
mongorestore --db mydb --collection mycollection data.json
C.
mongoexport --db mydb --collection mycollection --out data.json
D.
mongodump --db mydb --collection mycollection --out data.json

Q. You are working with a large dataset in DynamoDB and need to perform a scan operation to retrieve all items that match a specific condition. Which of the following is true about scan operations in DynamoDB?

A. Scan operations are efficient for large datasets and have low latency.
B. Scan operations always read data sequentially, ensuring optimal performance.
C. Scan operations are recommended for frequently executed queries.
D. Scan operations can be optimized by using a secondary index.

Q. You are designing a NoSQL database schema for an online gaming platform. Each game has a unique ID, a name, and a list of players. The number of players can vary for each game. Which of the following data models would be most suitable for storing this data?

A. Key-Value Store
B. Document Database
C. Graph Database
D. Column Family Store