Data and Analytics Big Data and Cloud Analytics

Question 1

What are the 3 Vs traditionally used to define Big Data?

Accepted Answer

Velocity, Volume, Variety

Answer

The original three defining characteristics of Big Data are Volume (size), Velocity (speed of generation), and Variety (different data types).

Question 2

What is Apache Hadoop primarily used for?

Accepted Answer

Distributed storage and batch processing of large datasets

Answer

Apache Hadoop is a distributed computing framework that uses HDFS for storage and MapReduce for batch processing of large datasets across clusters.

Question 3

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

Accepted Answer

Spark processes data in-memory, making it significantly faster

Answer

Apache Spark's in-memory processing can be up to 100x faster than Hadoop MapReduce for iterative algorithms and interactive queries.

Question 4

Which AWS service is a fully managed data warehouse solution?

Accepted Answer

Amazon Redshift

Answer

Amazon Redshift is AWS's fully managed, petabyte-scale cloud data warehouse optimized for analytics workloads.

Question 5

What is a data lake?

Accepted Answer

A centralized repository storing raw data in native format at any scale

Answer

A data lake stores structured, semi-structured, and unstructured data in its raw format, enabling flexible analysis without predefined schemas.

Data and Analytics Practice Test