Home Certification Big Data 101 Cognitive Class Answers

Big Data 101 Cognitive Class Answers

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Big Data 101 Cognitive Class Answers

Enroll Here: Big Data 101

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: Value from Big Data can be _____________?

  • Profits
  • Veracity
  • Petabytes
  • Technical ability
  • Infrastructure

Question 3: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

Module 2 – Beyond the Hype

Question 1: How many petabytes make up an Exabyte

  • 32
  • 2020
  • 64
  • 1024
  • 8

Question 2: What is an example of a source of Semi-Structured Big data?

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

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: 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 2: What is the search engine used by Walmart?

  • JSON
  • HBase
  • ZooKeeper
  • Polaris
  • Poisson

Question 3:An example of visualizing Big Data is___________?

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

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: 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

Question 3:In Operations Analysis, we focus on what type of data?

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

Module 5 – Processing Big Data

Question 1: 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 2: Data Warehouses provide online analytic processing: True/False

  • False
  • True  

Question 3: What does ‘OLAP’ stand for?

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

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: In Module 2: Is one byte binary? True/False

  • False
  • True  

Question 3:In Module 2: What has highly contributed to the launch of the Big Data era?

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

Question 4: Module 3: 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  

Question 5: 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 6: Module 3: 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 7: Module 5: In the Hadoop framework, a rack is a collection of ____________?

  • Yarn
  • Networks
  • Bits
  • Nodes
  • Distributed files

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

  • False
  • True  

Question 10: Module 5: 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

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