Exploring Big Data Concepts

Exploring Big Data Concepts

University

20 Qs

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Exploring Big Data Concepts

Exploring Big Data Concepts

Assessment

Quiz

Computers

University

Practice Problem

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20 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Big Data Analytics?

Big Data Analytics is only about data storage.

Big Data Analytics focuses solely on data visualization.

Big Data Analytics is the process of creating small data sets.

process of analyzing large and complex data sets to extract meaningful insights.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Explain the role of HBase in Big Data.

HBase is a relational database that requires a fixed schema.

HBase is primarily used for batch processing of data.

HBase is designed for storing small amounts of data in memory.

HBase serves as a scalable, distributed NoSQL database for real-time access to large datasets in Big Data applications.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is Hadoop and how does it work?

Hadoop is a framework for distributed storage and processing of large data sets.

Hadoop is a cloud storage service for small files.

Hadoop is a type of database management system.

Hadoop is a programming language for data analysis.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Define MapReduce and its significance in Big Data.

MapReduce is a cloud storage solution for managing data.

MapReduce is a programming language used for data visualization.

MapReduce is a database management system for Big Data.

MapReduce is significant in Big Data as it enables the processing of vast amounts of data in parallel across distributed systems, improving performance and scalability.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are the main components of Hadoop V3?

YARN, Docker, and Kubernetes

HDFS, Spark, and Kafka

HDFS, YARN, MapReduce, and ecosystem tools like Hive, Pig, HBase.

MapReduce, SQL, and Redis

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Differentiate between Data Node and Name Node.

Name Node stores actual data; Data Nodes manage metadata.

Data Nodes handle network requests; Name Nodes process data.

Name Node is responsible for data replication; Data Nodes handle user permissions.

Name Node manages metadata; Data Nodes store actual data.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What are regions in HBase?

Regions in HBase are entire tables stored in memory.

Regions in HBase are temporary storage locations for data before it is written to disk.

Regions in HBase are horizontal slices of a table that contain a subset of rows.

Regions in HBase are vertical slices of a table that contain a subset of columns.

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