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Here, you will get the Big Data 101 Cognitive Class Course Exam Answers in bold color which are given below.

These are the answers toBig Data 101 Cognitive Class Course Exam Answers free certification course. These answers have been updated recently and are 100% correct. The final exam is on Monday, April. All answers are 100%.

Module 1 – What is Big Data?

Question 1: Name one of the drivers of Volume in the Big Data Era?

  • Scalable infrastructure
  • An increase in cost to store data
  • Competitive advantage
  • FinTech
  • Research and development

Question 2:In the video, 2.5 Quintillion Bytes of data are equivalent to how many blue ray DVDs?

  • 1 Billion
  • 10 million
  • 100 million
  • 5 million
  • 1 Trillion

Question 3: Value from Big Data can be _____________?

  • Profits
  • Veracity
  • Petabytes
  • Technical ability
  • Infrastructure

Module 2 – Beyond the Hype

Question 1: What is an example of a source of Semi-Structured Big data?

  • Cameras files
  • Relational databases
  • Satellite files
  • Spreadsheet file
  • JSON files  

Question 2: How many petabytes make up an Exabyte

  • 32
  • 2020
  • 64
  • 1024
  • 8

Question 3:When is it estimated that the data we create and copy will reach around 35 zettabytes?

We have already surpassed this mark

  • 2050
  • 2030
  • 2040
  • 2020

Module 3 – Big Data and Data Science

Question 1: An example of visualizing Big Data is___________?

  • Hadoop
  • Integration
  • Agile Governance
  • Temperature on a map
  • Closing your eyes and imagining it

Question 2: What is the process of cleaning and analyzing data to derive insights and value from it?

  • Machine Learning
  • Exploratory Research
  • Data Science
  • Predictive Modeling
  • Decision Trees

Question 3: What is the search engine used by Walmart?

  • JSON
  • HBase
  • ZooKeeper
  • Polaris
  • Poisson

Module 4 – Big Data Use Cases

Question 1: What is the term used to describe an holistic approach that takes into account all available and meaningful information about a customer to drive better engagement, revenue and long term loyalty?

  • Enhanced 360-degree view
  • Big Data Exploration
  • End to End
  • Operations Analysis
  • Customer Retention

Question 2:In Operations Analysis, we focus on what type of data?

  • Location Data
  • Machine Data
  • Binary Data
  • Social Media Data
  • Structured Data

Question 3: What can help organizations to find new associations or uncover patterns and facts to significantly improve intelligence, security and law enforcement?

  • Using local servers
  • Analyzing data in-motion and at rest
  • Satellite data
  • GPS coordinates
  • Using XML

Module 5 – Processing Big Data

Question 1: Data Warehouses provide online analytic processing: True/False

  • False
  • True  

Question 2: What is a method of storing data to support the analysis of originally disparate sources of data?

  • Data Lakes
  • Data Mining
  • Predictive Analytics
  • Data Analytics
  • Deep Learning

Question 3: What does ‘OLAP’ stand for?

  • Online Analytical Prediction
  • Online Analytical Platform
  • Online Analytical Processing
  • Online Advanced Prediction
  • Online Advanced Programming

Final Exam Answers

Question 1: In Module 1: What is a common use of big data that is used by companies like Netflix, Spotify, Facebook and Amazon?

  • Recommendation Engines
  • Data Lakes
  • Clusters
  • The Cloud
  • Sensors

Question 2: Module 1: What is the term referring to a database that must be processed by means other than just the SQL Query Language.

  • Spark
  • NoSQL
  • Python
  • SQL
  • Hadoop

Question 3: Module 2: In the Hadoop framework, a rack is a collection of ____________?

  • Yarn
  • Networks
  • Bits
  • Nodes
  • Distributed files

Question 4: Module 3: ‘HDFS’ stands for ____________________?

  • Hadoop Data Fraud System
  • High Data File System
  • Hadoop Distributed File System
  • High Distribution Frequency System
  • High Definition Frequency Sensors

Question 5: In Module 3: Is one byte binary? True/False

  • False
  • True  

Question 6: Module 5: The Hadoop framework is mostly written in the Java programming language. True/False

  • False
  • True 

Question 7: Module 5: Data privacy is a critical part of the big data era. Businesses and individuals must give great thought to how data is _____________________________.

  • collected, retained, used, and disclosed
  • bought, sold, stored and analyzed
  • secured, sold, downloaded and uploaded
  • aggregated, compiled, saved and stored
  • stored, analyzed, read and written

Question 8: Module 5: What is a method of storing data to support the analysis of originally disparate sources of data?

  • Spark
  • Data Warehouse
  • Yarn
  • Data Repository
  • Data Lake

Question 9:In Module 5: What has highly contributed to the launch of the Big Data era?

  • Clusters
  • Spark
  • Cloud Computing
  • Zetabytes
  • Data Scientists

Question 10: Module 5: A data scientist is a person who is qualified to derive insights from data by using skills and experience from computer science, business or science, and statistics. True/False

  • False
  • True  


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