Big Data and Data Warehousing: Master the Fundamentals

Question 1

What is a defining characteristic of Big Data?

Accepted Answer

Variety

Answer

Predictability

Answer

Limited volume

Answer

Slow processing velocity

Question 2

Which of the following is NOT a key characteristic of Big Data?

Accepted Answer

Efficiency

Answer

Volume

Answer

Variety

Answer

Velocity

Question 3

Which of the following is the primary purpose of a data warehouse?

Accepted Answer

To support decision making

Answer

To store operational data

Answer

To process real-time data

Answer

To provide data visualization

Question 4

Which Hadoop component is responsible for distributed file management and storage?

Accepted Answer

HDFS

Answer

Yarn

Answer

MapReduce

Answer

Hive

Question 5

What is the key distinction between structured and unstructured data?

Accepted Answer

Structured data has a predefined schema, while unstructured data does not.

Answer

Unstructured data has a predefined schema, while structured data does not.

Answer

Both structured and unstructured data have predefined schemas.

Answer

Neither structured nor unstructured data has a predefined schema.

Question 6

Which of the following is a commonly used data mining technique?

Accepted Answer

Clustering

Answer

Normalization

Answer

ETL

Answer

Data visualization

Question 7

What is the primary objective of data cleansing?

Accepted Answer

To identify and correct errors and inconsistencies within data.

Answer

To transform data into a desired format.

Answer

To aggregate data for analysis.

Answer

To visualize data for effective presentation.

Question 8

What is Spark primarily used for in Big Data processing?

Accepted Answer

Distributed data processing

Answer

Data storage

Answer

Data visualization

Answer

Real-time data stream handling

Question 9

What is the acronym ETL commonly used for in the context of data warehousing?

Accepted Answer

Extract, Transform, Load

Answer

Extract, Transform, Analyze

Answer

Load, Transform, Extract

Answer

Analyze, Transform, Extract

Question 10

Which of the following is NOT a defining characteristic of Big Data?

Accepted Answer

Predictability: Ease in understanding and analyzing data

Answer

Volume: Massive amount of data

Answer

Variety: Diverse types and formats of data

Answer

Velocity: Rapid generation and processing of data

Question 11

In Hadoop architecture, which component is responsible for job scheduling and resource management?

Accepted Answer

YARN: Yet Another Resource Negotiator

Answer

HDFS: Hadoop Distributed File System

Answer

MapReduce: Data processing framework

Answer

Hive: Data warehousing tool

Question 12

Which core Spark concept represents a distributed collection of data elements that can be parallelized for processing?

Accepted Answer

RDDs: Resilient Distributed Datasets

Answer

MapReduce: Data processing paradigm

Answer

DataFrames: Structured data representation

Answer

SQL Queries: Database language for data manipulation

Question 13

Which data warehousing technique is designed for storing and analyzing historical data over time?

Accepted Answer

OLAP (Online Analytical Processing): Data analysis and reporting

Answer

OLTP (Online Transaction Processing): Real-time data processing

Answer

Data Mining: Extracting patterns and insights from data

Answer

Big Data Analytics: Processing and analyzing large datasets

Question 14

Which Hadoop distribution is widely adopted in commercial applications, providing enterprise-grade features and support?

Accepted Answer

Cloudera: Hadoop distribution with a focus on enterprise use

Answer

Hortonworks: Hadoop distribution known for its stability and open-source roots

Answer

MapR: Hadoop distribution offering high-performance and scalability

Answer

Pivotal: Hadoop distribution designed for real-time data processing

Question 15

Which of the following is NOT a characteristic of Big Data?

Accepted Answer

Limited Veracity

Answer

Vast Volume

Answer

Rapid Velocity

Answer

Diverse Variety

Question 16

What is the primary purpose of a data warehouse?

Accepted Answer

To store and integrate data from diverse sources for analysis

Answer

To perform real-time data processing

Answer

To visualize and interactively explore data

Answer

To manage unstructured data formats

Question 17

Which Hadoop component is responsible for coordinating and managing jobs?

Accepted Answer

ZooKeeper

Answer

Hadoop Distributed File System (HDFS)

Answer

MapReduce

Answer

Apache Hive

Question 18

What is the fundamental distinction between structured and unstructured data?

Accepted Answer

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

Answer

Unstructured data has a defined schema, while structured data does not.

Answer

Both structured and unstructured data have defined schemas.

Answer

There is no distinction between structured and unstructured data.

Question 19

What is the primary role of metadata in a data warehouse?

Accepted Answer

To provide information about the data and its relationships

Answer

To optimize data retrieval performance

Answer

To ensure data confidentiality and security

Answer

To facilitate data integration from multiple sources

Question 20

What is the purpose of data cleaning in Big Data processing?

Accepted Answer

To identify and remove errors and inconsistencies in data

Answer

To transform data into a suitable format for analysis

Answer

To reduce the volume of data by removing duplicates

Answer

To enhance data security and privacy

Question 21

Which of the following is NOT a challenge associated with Big Data analytics?

Accepted Answer

Abundance of skilled professionals in the field

Answer

Storage and scalability limitations

Answer

Data integration and heterogeneity issues

Answer

Security and privacy concerns

Question 22

What is the key difference between OLAP and OLTP databases?

Accepted Answer

OLAP is designed for analytical queries, while OLTP is for transactional processing.

Answer

OLTP is designed for analytical queries, while OLAP is for transactional processing.

Answer

Both OLAP and OLTP are used for analytical queries.

Answer

Both OLAP and OLTP are used for transactional processing.

Question 23

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

Accepted Answer

Accuracy

Answer

Volume

Answer

Velocity

Answer

Variety

Question 24

What is the primary function of Hadoop in big data processing?

Accepted Answer

Provides a distributed file system for storing and managing large datasets

Answer

Offers a programming framework for data analysis and processing

Answer

Serves as a platform for building and deploying data warehouses

Answer

Enables real-time data streaming and analysis

Question 25

What is the primary purpose of the ETL process in data warehousing?

Accepted Answer

Data extraction, transformation, and loading

Answer

Data cleansing and deduplication

Answer

Data analysis and visualization

Answer

Data mining and knowledge discovery

Question 26

Which cloud computing service model is best suited for big data applications?

Accepted Answer

Infrastructure as a Service (IaaS): Providing virtualized computing resources

Answer

Platform as a Service (PaaS): Offering a platform for developing and deploying applications

Answer

Software as a Service (SaaS): Providing access to pre-built applications

Answer

Data as a Service (DaaS): Providing access to managed data services

Question 27

What is the primary purpose of metadata in data warehousing?

Accepted Answer

Describes the structure, content, and lineage of data

Answer

Enhances data security and access control

Answer

Improves data performance and scalability

Answer

Supports data integration and interoperability

Question 28

In the context of Big Data, which technique is most suitable for uncovering patterns and relationships within unstructured data?

Accepted Answer

Unsupervised Machine Learning

Answer

Supervised Machine Learning

Answer

Regression Analysis

Question 29

How do Hadoop's NameNode and DataNodes collaborate to ensure scalability and fault tolerance in distributed data processing?

Accepted Answer

DataNodes replicate data across the cluster for fault tolerance, and NameNode tracks replica locations.

Answer

NameNode manages data storage and recovery, while DataNodes primarily handle data processing.

Answer

NameNode handles data distribution and scheduling, while DataNodes provide backup storage.

Question 30

Identify the defining characteristic of big data among the following:

Accepted Answer

High volume and variety

Answer

High reliability and real-time availability

Answer

Small size and structured format

Answer

Slow processing and limited complexity

Question 31

For distributed data processing in big data environments, which tool is widely employed?

Accepted Answer

Hadoop

Answer

MongoDB

Answer

Oracle Database

Answer

MySQL

Question 32

What is the primary purpose of a data warehouse?

Accepted Answer

To store, manage, and analyze historical data for decision making

Answer

To replace operational databases and handle real-time transactions

Answer

To process large volumes of unstructured data

Question 33

Which type of data cube is designed to aggregate data simultaneously across multiple dimensions?

Accepted Answer

Multidimensional cube

Answer

Star cube

Answer

Snowflake cube

Answer

Lattice cube

Question 34

What is the process of integrating data from various sources into a data warehouse known as?

Accepted Answer

ETL (Extract, Transform, Load)

Answer

DBA (Database Administration)

Answer

OLAP (Online Analytical Processing)

Answer

CRM (Customer Relationship Management)

Question 35

Among the challenges associated with big data analytics, which one stands out?

Accepted Answer

Handling data diversity and complexity

Answer

High data quality and low storage costs

Answer

Small data size and limited processing power

Question 36

What is the key responsibility of a data architect in big data environments?

Accepted Answer

Designing and managing data architectures and infrastructure

Answer

Processing and analyzing data for insights

Answer

Maintaining and optimizing databases

Answer

Providing user support and training

Question 37

Which technique is commonly used to enhance the efficiency of big data queries?

Accepted Answer

Indexing

Answer

Normalization

Answer

Compression

Answer

Replication

Question 38

What is the key distinction between a data mart and a data warehouse?

Accepted Answer

A data mart is a tailored subset of data from a larger data warehouse, addressing specific business needs.

Answer

A data warehouse is a smaller subset of a data mart, intended for operational purposes.

Answer

Data marts and data warehouses have no fundamental differences and serve the same purpose.

Answer

Data warehouses are more operationally focused than data marts.

Question 39

Which of the following is NOT a characteristic of big data as defined by the **4 Vs** model?

Accepted Answer

Small size

Answer

High variety

Answer

High velocity

Answer

High volume

Question 40

Which of the following is a primary component of a data warehouse that stores summarized and processed data for specific subject areas?

Accepted Answer

Data mart

Answer

Hadoop cluster

Answer

Database

Answer

Data lake

Question 41

Which of the following tools is primarily designed for distributed processing of large datasets?

Accepted Answer

Hadoop

Answer

MySQL

Answer

Power BI

Answer

Tableau

Question 42

What is the primary purpose of a data lake in a big data architecture?

Accepted Answer

Store raw and unstructured data for future analysis

Answer

Analyze and visualize data

Answer

Manage structured data

Answer

Extract, transform, and load data

Question 43

Which of the following data models is commonly used in data warehousing to represent relationships between tables and dimensions?

Accepted Answer

Star schema

Answer

Network model

Answer

Relational model

Answer

Hierarchical model

Question 44

What is a key advantage of using a column-oriented database for big data processing?

Accepted Answer

Improved query performance

Answer

Reduced storage space

Answer

Enhanced data security

Answer

Simplified data modeling

Question 45

What is the purpose of a data dictionary in a data warehousing environment?

Accepted Answer

Provide metadata about data definitions and relationships

Answer

Manage user access

Answer

Store raw data

Answer

Perform data analysis

Question 46

Which of the following is a benefit of using Apache Spark for big data processing?

Accepted Answer

In-memory processing and fast computation

Answer

Low cost

Answer

Proprietary software

Answer

Limited community support

Question 47

What is the term used to describe the process of extracting data from various sources, transforming it, and loading it into a data warehouse?

Accepted Answer

ETL

Answer

OLAP

Answer

OLTP

Answer

ELT

Question 48

Which of the following is **not** a characteristic of Big Data?

Accepted Answer

Small volume

Answer

High veracity

Answer

High velocity

Answer

Wide variety

Question 49

What is the primary purpose of a Data Warehouse?

Accepted Answer

Centralized storage and analysis of data from multiple sources

Answer

Data cleaning and transformation

Answer

Real-time data processing

Question 50

Which of the following is a distributed file system commonly used in Big Data environments?

Accepted Answer

HDFS

Answer

Ext4

Answer

FAT32

Answer

NTFS

Question 51

What is the intended purpose of a Data Lake?

Accepted Answer

Store and process large amounts of raw data in its native format

Answer

Provide structured data for analysis

Answer

Facilitate data visualization and reporting

Question 52

What is the primary function of Spark in Big Data analytics?

Accepted Answer

Distributed in-memory data processing framework

Answer

Cloud computing platform

Answer

Database management system

Answer

Data visualization tool

Question 53

Which data modeling technique is commonly used in Data Warehousing?

Accepted Answer

Star schema

Answer

Relational model

Answer

Entity-relationship model

Answer

Object-oriented model

Question 54

What is a key advantage of using a column-oriented database for Big Data analytics?

Accepted Answer

Faster data retrieval for specific columns

Answer

Simplified data modeling

Answer

Improved data security

Answer

Reduced storage requirements

Question 55

Which of the following is **not** a benefit of using a Data Warehouse?

Accepted Answer

Real-time data analysis

Answer

Reduced operational costs

Answer

Improved decision-making

Answer

Enhanced data security