Big Data Quiz 1 - recap

What are the 5 V's of Big Data?

• Volume, Velocity, Variety, Veracity, Value

• Volatile, Vigorous, Viable, Vast, Valuable

• Vast, Viable, Vicious, Vague, Valuable

• Vivid, Voluminous, Vexing, Versatile, Valuable

What is the main purpose of Data Quality and Data Governance in Big Data?

• To ensure valid insights

• To increase data storage capacity

• To create data visualizations

• To speed up data processing

What inspired the creation of Hadoop?

• Amazon case studies

• Facebook research papers

• Microsoft technical documents

• Google whitepapers

Which stage of the Big Data pipeline involves capturing and moving data into the Storage Layer?

• Data Storage

• Data Ingestion

• Data Processing

• Data Analysis

What is the main advantage of Apache Spark over Hadoop MapReduce?

• Better data storage

• Richer data models

• Faster processing

• More programming languages

What type of data processing involves analyzing streaming data?

• SQL analytics

• Batch Processing

• Graph processing

• Stream Processing

Which processing framework/tool can combine batch processing, stream processing, SQL analytics, graph processing, and machine learning workloads?

• HBase

• MongoDB

• Hadoop MapReduce

• Apache Spark

What is the primary purpose of data visualization in the Big Data pipeline?

• To improve data storage

• To speed up data processing

• To ensure valid insights

• To present data in a meaningful way

Which stage of the Big Data pipeline involves processing data in real-time?

• Data Storage

• Data Ingestion

• Data Processing

• Data Analysis

What is the main advantage of using a distributed file system in Big Data processing?

• Improved fault tolerance

• Reduced data storage cost

• Increased data processing speed

• Enhanced data visualization