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Big Data 101 Quiz Answers – Cognitive Class
Get All modules Big Data 101 Quiz Answers
Get answers to fundamental questions such as: What is Big Data? How do we tackle Big Data? Why are we interested in it? How does Big Data add value to businesses?
Module 1 – What is Big Data?
Question: Name one of the drivers of Volume in the Big Data Era?
- Scalable infrastructure
- Cost
- Competitive advantage
- FinTech
- Research and development
Question: Value from Big Data can be _____________?
- Profits
- Veracity
- Petabytes
- Technical ability
- Infrastructure
Question: 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: How many petabytes make up an Exabyte
- 32
- 2020
- 64
- 1024
- 8
Question: What is an example of a source of Semi-Structured Big data?
- Cameras files
- Relational databases
- Satellite files
- Spreadsheet file
- JSON files
Question: 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: 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: What is the search engine used by Walmart?
- JSON
- HBase
- ZooKeeper
- Polaris
- Poisson
Question: 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 Uses Cases
Question: 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: 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: 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: 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: Data Warehouses provide online analytic processing: True/False
- False
- True
Question: What does ‘OLAP’ stand for?
- Online Analytical Prediction
- Online Analytical Platform
- Online Analytical Processing
- Online Advanced Prediction
- Online Advanced Programming
Final Exam
Question: 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: In Module 2: Is one byte binary? True/False
- False
- True
Question: In Module 2: What has highly contributed to the launch of the Big Data era?
- Clusters
- Spark
- Cloud Computing
- Zetabytes
- Data Scientists
Question: 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: 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: 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: Module 5: In the Hadoop framework, a rack is a collection of ____________?
- Yarn
- Networks
- Bits
- Nodes
- Distributed files
Question: 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: Module 5: The Hadoop framework is mostly written in the Java programming language. True/False
- False
- True
Question: 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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