Big Data Analytics Quiz

Which of the following best describes the primary purpose of Big Data analytics?

• Storing large volumes of data

• Processing data in real-time

• Extracting insights from large and diverse datasets

• Ensuring data security and privacy

What distinguishes structured data from unstructured data in the context of Big Data?

• Structured data is easier to process using traditional databases

• Unstructured data is organized into tables and columns

• Structured data lacks clear organization and format

• Unstructured data includes text, images, and videos without predefined schema

Which component of the Hadoop ecosystem is primarily responsible for managing distributed file storage?

• Pig

• HDFS

• MapReduce

• Hive

What is the primary function of data cleansing and preparation in Big Data analytics?

• Aggregating data from multiple sources

• Ensuring data is formatted consistently and free of errors

• Generating insights from processed data

• Storing data securely in databases

Which of the following statements best describes the history of Hadoop?

• Developed by IBM in the early 2000s

• Originated from Google's MapReduce and Google File System papers

• Initially designed for relational database management

• Gained popularity in the 1990s for data warehousing

In Hadoop, which component is responsible for the execution of data processing tasks across the cluster?

• HDFS

• MapReduce

• Pig

• Hive

How does Hadoop Streaming facilitate data processing in languages other than Java?

• By providing a Python interface for HDFS

• By enabling the execution of MapReduce tasks with custom scripts

• By integrating with Apache Spark

• By optimizing data transfer between Hadoop clusters

Which of the following best describes the role of Pig Latin in Hadoop's ecosystem?

• Query language for data manipulation

• Distributed file system

• Job scheduling tool

• Data compression algorithm

Hive in the Hadoop ecosystem serves primarily as:

• A data visualization tool

• A distributed database system

• A data ingestion tool

• A machine learning framework

What distinguishes HBase from traditional relational database management systems (RDBMS)?

• HBase is schema-less

• HBase supports SQL queries

• HBase uses a tabular data model

• HBase lacks scalability