Big Data Analytics: Master Data Storage, Preprocessing, and Visualization

Question 1

Which component is not a fundamental element of a big data architecture?

Accepted Answer

MySQL Relational Database Management System (RDBMS)

Answer

Apache Hadoop Distributed File System (HDFS)

Answer

Apache Spark

Answer

MapReduce

Question 2

Which component is NOT part of the Hadoop ecosystem for big data analytics?

Accepted Answer

MySQL

Answer

Hadoop Distributed File System (HDFS)

Answer

MapReduce

Answer

Apache Spark

Question 3

Which technology is not a core component of the Hadoop ecosystem?

Accepted Answer

Spark

Answer

HDFS

Answer

MapReduce

Answer

YARN

Question 4

In the Hadoop ecosystem, which component is responsible for managing resources?

Accepted Answer

Yarn

Answer

HDFS

Answer

Pig

Answer

Hive

Question 5

What is a potential disadvantage of big data analytics?

Accepted Answer

Inherent biases

Answer

Improved decision-making

Answer

Increased efficiency

Answer

Reduced costs

Question 6

Which of the following is the primary advantage of Hadoop Distributed File System (HDFS) over traditional file systems?

Accepted Answer

Exceptional fault tolerance

Answer

Enhanced data security

Answer

Real-time data processing

Answer

Lower storage costs

Question 7

Which external tool can be integrated with the Hadoop ecosystem for data warehousing?

Accepted Answer

Hive

Answer

HDFS

Answer

MapReduce

Answer

YARN

Question 8

Which of the following is a disadvantage of using big data analytics?

Accepted Answer

Increased privacy risks

Answer

Improved decision-making

Answer

Increased efficiency and productivity

Answer

Reduced costs

Question 9

In the context of big data analytics, Hadoop offers several advantages. Which of the following is a key benefit of using Hadoop for this purpose?

Accepted Answer

Hadoop's distributed processing and fault tolerance ensure reliable data processing.

Answer

Hadoop is expensive to implement.

Answer

Hadoop has limited scalability, making it unsuitable for large datasets.

Answer

Hadoop is user-friendly and requires minimal technical expertise to manage.

Question 10

What is a key characteristic that sets big data apart from other types of data?

Accepted Answer

Volume

Answer

Consistency

Answer

Homogeneity

Answer

Predictability

Question 11

Which component does NOT belong to the Hadoop ecosystem?

Accepted Answer

Akka

Answer

HDFS

Answer

YARN

Answer

Hive

Question 12

Which of the following is a key defining property of big data that differentiates it from other datasets?

Accepted Answer

High velocity and diverse data types

Answer

Small and highly structured format

Answer

Slow processing and limited sources

Question 13

Which component is NOT part of the Hadoop ecosystem, commonly used for processing and analyzing vast amounts of data?

Accepted Answer

MongoDB (Document-oriented Database)

Answer

HDFS (Hadoop Distributed File System)

Answer

Yarn (Yet Another Resource Negotiator)

Answer

Hive (Data Warehouse System)

Question 14

Which characteristic is unique to big data?

Accepted Answer

Diverse data formats

Answer

High precision

Answer

Slow processing

Answer

Small data volume

Question 15

Which of the following is a potential drawback of using big data analytics?

Accepted Answer

Increased risk of data breaches

Answer

Improved decision-making

Answer

Increased operational efficiency

Answer

Enhanced customer experience

Question 16

Which of the following is NOT a key characteristic of big data?

Accepted Answer

Regularity

Answer

Volume

Answer

Variety

Answer

Velocity

Question 17

What is a defining feature of big data?

Accepted Answer

Vastness

Answer

Unchangeability

Answer

Reliability

Question 18

What is a key characteristic of big data?

Accepted Answer

High volume

Answer

Low velocity

Answer

Limited variety

Answer

Fixed structure

Question 19

What key characteristic distinguishes big data from traditional data?

Accepted Answer

Rapid data generation and processing

Answer

Consistent data structure

Answer

Minimal storage requirements

Question 20

Which component is NOT part of the Hadoop Distributed File System (HDFS)?

Accepted Answer

Secondary namenode

Answer

Blocks

Answer

Namenode

Answer

Datanode

Question 21

Which of the following key features of Solr make it particularly suitable for big data analytics?

Accepted Answer

Handles large and rapidly changing data sets in real time

Accepted Answer

Supports distributed computing across multiple servers

Answer

Limits support for complex queries

Answer

Slows indexing speed

Question 22

In big data analytics projects, what are the key challenges that arise?

Accepted Answer

Managing massive data volumes and scale

Accepted Answer

Handling diverse and complex data types

Accepted Answer

Processing and analyzing data in real-time

Question 23

Which feature makes MongoDB particularly suitable for big data analytics?

Accepted Answer

High scalability and horizontal partitioning

Answer

Support for relational data models

Answer

Limited support for real-time analytics

Answer

Integrated data warehousing capabilities

Question 24

Within the Hadoop ecosystem, which tool is primarily responsible for managing workflows and scheduling dependencies?

Accepted Answer

Oozie

Answer

Sqoop

Answer

Pig

Answer

Flume

Question 25

Which feature is a key strength of Keras, a popular deep learning library used in big data analytics?

Accepted Answer

Extensive support for pre-trained models

Answer

Exclusive compatibility with Apache Spark for data processing

Answer

Limited to convolutional neural networks

Answer

Absence of automatic differentiation for efficient gradient calculations

Question 26

In big data analytics, what key feature of the Hadoop Distributed File System (HDFS) sets it apart from other storage systems and makes it effective for managing massive datasets?

Accepted Answer

Data replication for fault tolerance and high availability

Answer

Exclusive support for structured data formats

Answer

Limited scalability, restricting its ability to handle extremely large datasets

Answer

Reliance on in-memory processing for faster data access

Question 27

What is the defining characteristic of big data?

Accepted Answer

Combination of high volume, high velocity, and high variety

Answer

High volume

Answer

Rapid data generation

Answer

Diverse data sources

Question 28

In big data analytics, which architectural approach is commonly used for large-scale data processing and analysis?

Accepted Answer

Distributed architecture

Answer

Centralized architecture

Question 29

Which of the following is a potential drawback of utilizing a distributed file system like Hadoop's HDFS for big data analytics?

Accepted Answer

Elevated data latency

Answer

Enhanced data storage capacity

Answer

Accelerated data processing speed

Answer

Mitigated data security vulnerabilities

Question 30

In the Hadoop ecosystem, which component is tasked with managing and storing large volumes of data?

Accepted Answer

HDFS

Answer

Yarn

Answer

MapReduce

Question 31

Which component of the Hadoop ecosystem is responsible for managing and storing large datasets?

Accepted Answer

HDFS

Answer

MapReduce

Answer

Spark

Answer

Hive

Question 32

Which component of the Hadoop ecosystem is NOT primarily used for data storage?

Accepted Answer

Yarn

Answer

HDFS

Question 33

Which characteristic is **not** a unique feature of big data analytics?

Accepted Answer

Low value

Answer

High volume

Answer

Diverse formats

Answer

Rapid generation

Question 34

In the context of big data analytics, which technique is most appropriate for handling the challenges posed by the vast volume, diverse variety, and rapid velocity of data?

Accepted Answer

Cloud computing platforms

Answer

Relational database management systems (RDBMS)

Answer

Spreadsheet software

Answer

Desktop analytics tools

Question 35

Which component of the Hadoop ecosystem is specifically designed for data processing?

Accepted Answer

MapReduce

Answer

HBase

Answer

Cassandra

Question 36

Which of the following is a key component of the Hadoop ecosystem?

Accepted Answer

MapReduce

Answer

TensorFlow

Question 37

Which of the following is NOT a primary challenge unique to big data analytics?

Accepted Answer

Communicating data insights effectively

Answer

Managing large and diverse datasets

Answer

Integrating data from various sources

Answer

Protecting data privacy and security

Question 38

Which data visualization technique is most suitable for displaying large datasets that include both categorical and numerical data?

Accepted Answer

Heat map

Answer

Scatter plot

Answer

Bar chart

Answer

Pie chart

Question 39

In MapReduce programming, which phase generates intermediate key-value pairs from the input data?

Accepted Answer

Map Phase

Answer

Shuffle and Sort Phase

Answer

Reduce Phase

Question 40

In the context of big data analytics, what is Elasticsearch primarily designed for in terms of data exploration and analysis?

Accepted Answer

Full-text search, real-time indexing, and versatile data exploration capabilities

Answer

Real-time search and analytics on structured data

Answer

Efficient data summarization and aggregation for large-scale datasets

Answer

Advanced natural language processing (NLP) for unstructured data analysis

Question 41

For big data analytics requiring immediate processing, which storage mechanism is most suitable?

Accepted Answer

NoSQL databases

Answer

Relational databases

Answer

Cloud storage

Answer

File systems

Question 42

What characteristic of Apache Spark makes it ideal for real-time data processing and analytics?

Accepted Answer

Lazy evaluation and micro-batch processing

Answer

High fault tolerance but low scalability

Answer

Limited support for structured data formats

Answer

Lack of integration with Hadoop ecosystem

Question 43

Which of the following techniques is used for cleaning and transforming data before analysis?

Accepted Answer

Data preprocessing

Answer

Data mining

Answer

Machine learning

Answer

Data visualization

Question 44

Which type of big data storage system is designed for handling enormous datasets distributed across multiple locations?

Accepted Answer

Hadoop Distributed File System (HDFS)

Answer

Relational database

Answer

NoSQL database

Answer

Cloud storage

Question 45

Which data visualization method is most suitable for displaying hierarchical information in a clear and organized manner?

Accepted Answer

Treemap

Answer

Bar chart

Answer

Scatter plot

Answer

Pie chart

Question 46

What is the primary purpose of dimensionality reduction in data analysis?

Accepted Answer

Reducing data size while preserving essential information

Answer

Enhancing model efficiency

Answer

Simplifying data visualization

Answer

Improving data security

Question 47

Which of the following poses a significant security risk in big data analytics?

Accepted Answer

Unauthorized access and data breaches

Answer

Data volume and variety

Answer

Data integration and data quality

Answer

Data anonymization and pseudonymization

Question 48

Which of the following is NOT a key characteristic of big data?

Accepted Answer

Consistency

Answer

Volume

Answer

Variety

Answer

Velocity

Question 49

What is the key difference between structured and unstructured data?

Accepted Answer

Structured data has a defined structure, while unstructured data does not.

Answer

Unstructured data is often larger than structured data.

Answer

Structured data is only numerical, while unstructured data is only textual.

Answer

Unstructured data is more valuable than structured data for big data analytics.

Question 50

Which of the following is NOT a characteristic of big data?

Accepted Answer

Timeliness

Answer

Volume

Answer

Variety

Answer

Velocity

Question 51

What is the primary purpose of data preprocessing in big data analytics?

Accepted Answer

To improve data quality and consistency

Answer

To reduce data storage requirements

Answer

To enhance data visualization

Answer

To extract meaningful insights

Question 52

Which type of database management system is typically used for storing large volumes of unstructured data in big data environments?

Accepted Answer

NoSQL Database Management System

Answer

Relational Database Management System (RDBMS)

Answer

Object-Oriented Database Management System (OODBMS)

Answer

Cloud-based Database Management System

Question 53

What is the main objective of data visualization in big data analytics?

Accepted Answer

To simplify complex data and identify patterns

Answer

To store data in a human-readable format

Answer

To reduce data dimensionality

Answer

To extract statistical models

Question 54

Which dimensionality reduction technique is commonly employed in big data analytics to reduce the number of features in high-dimensional data sets?

Accepted Answer

Principal Component Analysis (PCA)

Answer

Linear Regression

Answer

Clustering

Answer

Decision Trees

Question 55

What is the significance of MapReduce in Hadoop and why is it important for big data processing?

Accepted Answer

It allows for the parallel processing of large data sets

Answer

It provides a scalable and fault-tolerant platform for data storage

Answer

It simplifies the development of data analytics applications

Answer

It offers advanced data visualization capabilities

Question 56

Which data visualization technique is ideal for presenting hierarchical data in a clear and structured manner?

Accepted Answer

Treemap

Answer

Bar chart

Answer

Pie chart

Question 57

In data analysis, which technique is primarily used to prepare data for analysis by cleaning and transforming it?

Accepted Answer

Data Cleaning

Answer

Data Mining

Answer

Data Visualization

Question 58

For handling voluminous unstructured data, which data storage method is most suitable?

Accepted Answer

Hadoop Distributed File System (HDFS)

Answer

Relational database management systems (RDBMS)

Answer

Data warehouses

Answer

NoSQL databases

Question 59

Which data preprocessing technique is employed to eliminate duplicate data records?

Accepted Answer

Data cleaning

Answer

Data integration

Answer

Data transformation

Answer

Data reduction

Question 60

For visualizing hierarchical data structures, which data visualization technique is most effective?

Accepted Answer

Treemap

Answer

Bar chart

Answer

Scatter plot

Answer

Pie chart

Question 61

In the healthcare sector, which of the following is a key application of big data analytics?

Accepted Answer

Precision medicine

Answer

Fraud detection

Answer

Customer segmentation

Answer

Inventory management

Question 62

In the Hadoop ecosystem, which component is primarily responsible for allocating resources and scheduling tasks?

Accepted Answer

ResourceManager

Answer

NameNode

Answer

DataNode

Answer

JobTracker

Question 63

Which type of storage system is specifically designed to handle large-scale data distribution across multiple locations?

Accepted Answer

Distributed File System (DFS)

Answer

Relational Database Management System (RDBMS)

Answer

NoSQL Database

Answer

Cloud Storage Service

Question 64

What is the most significant advantage of utilizing cloud computing for big data storage and processing?

Accepted Answer

Enhanced cost-effectiveness and scalability

Answer

Guaranteed data security

Answer

Improved data quality

Answer

Reduced latency in data retrieval