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
- Research and development
Question 2: Value from Big Data can be _____________?
- Technical ability
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
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
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?
Question 3:An example of visualizing Big Data is___________?
- 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
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
- The Cloud
Question 2: In Module 2: Is one byte binary? True/False
Question 3:In Module 2: What has highly contributed to the launch of the Big Data era?
- Cloud Computing
- 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
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 ____________?
- Distributed files
Question 8: Module 5: What is a method of storing data to support the analysis of originally disparate sources of data?
- Data Warehouse
- Data Repository
- Data Lake
Question 9: Module 5: The Hadoop framework is mostly written in the Java programming language. True/False
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.