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Big Data Multiple Choice Questions (MCQs) and Answers

Master Big Data with Practice MCQs. Explore our curated collection of Multiple Choice Questions. Ideal for placement and interview preparation, our questions range from basic to advanced, ensuring comprehensive coverage of Big Data concepts. Begin your placement preparation journey now!

Q61

Q61 Which HiveQL command is used to create a new table in Hive?

A

CREATE DATABASE

B

INSERT INTO

C

CREATE TABLE

D

ADD TABLE

Q62

Q62 Which of the following is used to submit a Spark job to a cluster?

A

spark-submit

B

spark-run

C

spark-apply

D

spark-launch

Q63

Q63 Which command is used to execute a Pig script?

A

pig -run

B

pig -execute

C

pig -script

D

pig

Q64

Q64 A Spark job is failing because it cannot allocate enough memory. What could be the most likely cause?

A

Small dataset

B

Insufficient memory allocation

C

Corrupt data

D

Network issues

Q65

Q65 A Hive query is taking longer than expected to run. What could be the possible cause?

A

Small dataset

B

Improper indexing

C

Too many joins

D

Incorrect partitioning

Q66

Q66 A Pig job is failing due to a data skew. What could be the most likely reason for the failure?

A

Improper data partitioning

B

Network latency

C

Corrupt data

D

Small dataset

Q67

Q67 What is the primary goal of data mining in Big Data?

A

Data compression

B

Pattern discovery

C

Data encryption

D

Data storage

Q68

Q68 Which machine learning algorithm is best suited for classifying data into distinct categories?

A

K-means clustering

B

Linear regression

C

Decision tree

D

K-nearest neighbors

Q69

Q69 What is the purpose of feature selection in machine learning?

A

To reduce the number of input variables

B

To increase the number of training samples

C

To split the dataset

D

To enhance data visualization

Q70

Q70 How does unsupervised learning differ from supervised learning?

A

It uses labeled data

B

It is used for classification

C

It does not require labeled data

D

It does not handle large datasets

Q71

Q71 Which machine learning model is best suited for identifying non-linear relationships in Big Data?

A

Logistic regression

B

K-means clustering

C

Neural networks

D

Linear regression

Q72

Q72 Which Python library is commonly used for machine learning tasks in Big Data?

A

Pandas

B

NumPy

C

Scikit-learn

D

Matplotlib

Q73

Q73 In Python, which function is used to split a dataset into training and testing sets?

A

train_test_split

B

split_data

C

random_split

D

train_test_data

Q74

Q74 Which type of neural network is commonly used for image recognition tasks?

A

Convolutional neural network

B

Recurrent neural network

C

Feedforward neural network

D

Generative adversarial network

Q75

Q75 A machine learning model is overfitting. What could be a possible solution?

A

Use a larger dataset

B

Reduce the number of features

C

Increase model complexity

D

Reduce the training data

Q76

Q76 A clustering algorithm is producing poor results in Big Data analysis. What could be the cause?

A

Too few clusters

B

Too many training samples

C

Incorrect feature scaling

D

Lack of training data

Q77

Q77 A neural network model is taking too long to train. What could be the most likely cause?

A

Small dataset

B

Too many hidden layers

C

Low learning rate

D

Too many output nodes

Q78

Q78 What is the primary advantage of using NoSQL databases over relational databases?

A

ACID compliance

B

Scalability

C

Data normalization

D

Primary key usage

Q79

Q79 Which type of data structure does MongoDB use to store records?

A

Tables

B

Documents

C

Key-value pairs

D

Nodes

Q80

Q80 How does Cassandra ensure high availability in a distributed environment?

A

By using a master-slave architecture

B

By replicating data across nodes

C

By using in-memory storage

D

By compressing data

Q81

Q81 What is a key feature of NoSQL databases like Cassandra and MongoDB?

A

Strong consistency

B

Vertical scalability

C

Horizontal scalability

D

Limited data types

Q82

Q82 How does MongoDB handle relationships between data?

A

By using joins

B

By embedding documents

C

By using keys and indexes

D

By using a relational model

Q83

Q83 Which MongoDB command is used to insert a document into a collection?

A

insertOne

B

addDocument

C

insertInto

D

saveDocument

Q84

Q84 Which command in Cassandra is used to create a new keyspace?

A

CREATE TABLE

B

CREATE DATABASE

C

CREATE KEYSPACE

D

CREATE COLUMNFAMILY

Q85

Q85 How do you query a specific field in a MongoDB document using the find() method?

A

db.collection.find({field: value})

B

db.collection.get({field: value})

C

db.collection.query({field: value})

D

db.collection.lookup({field: value})

Q86

Q86 A MongoDB query is returning no results, but the collection has documents. What could be the issue?

A

Incorrect query syntax

B

Corrupt database

C

Lack of indexes

D

Database size limit exceeded

Q87

Q87 A Cassandra node is consistently failing. What could be the most likely cause?

A

Insufficient disk space

B

Lack of data replication

C

Too many concurrent queries

D

Improper partitioning

Q88

Q88 A MongoDB collection is performing slowly. What is the likely cause?

A

Lack of indexes

B

Too much data replication

C

Incorrect data types

D

Small dataset

Q89

Q89 What is the primary goal of data analytics in Big Data?

A

Data visualization

B

Data encryption

C

Insight discovery

D

Data storage

Q90

Q90 Which of the following is a common tool used for data analytics in Big Data?

A

Apache Spark

B

MongoDB

C

HDFS

D

NoSQL

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