Hello Learners, Today, we are going to share Big Data 101 Cognitive Class Course Exam Answer launched by IBM. This certification course is totally free of cost✅✅✅ for you and available on Cognitive Class platform.
Here, you will find Big Data 101 Exam Answers in Bold Color which are given below.
These answers are updated recently and are 100% correct✅ answers of all modules and final exam answers of Big Data 101 from Cognitive Class Certification Course.
| Course Name | Big Data 101 |
| Organization | IBM |
| Skill | Online Education |
| Level | Beginner |
| Language | English |
| Price | Free |
| Certificate | Yes |
For participating in quiz/exam, first you will need to enroll yourself in the given link mention below and learn Big Data 101 launched by IBM. Interested students must enroll for this courses and grab this golden opportunity which will definitely enhance their technical skills and you will learn more things in brief.
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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
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: 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
Conclusion
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