Exercises for Fundamentals of AI

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Question 1 of 22

1. Question
The Term “Artificial Intelligence” has a commonly accepted definition
- True
- False
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Question 2 of 22

2. Question
Artificial Intelligence is at least sixty years old
- True
- False
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Question 3 of 22

3. Question
Semi-supervised learning is one of the three types of machine learning
- True
- False
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Question 4 of 22

4. Question
How does Cognilytica define AI for the purpose of this education?
- Artificial Intelligence (AI) is machine behavior and function that exhibits the intelligence and behavior of humans.
- Intelligence that is not biological.
- Superintelligent machines that will take over the world.
- Cognilytica does not have a definition of AI.
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Question 5 of 22

5. Question
What sort of problem can AI help address?
- The Digital Transformation Logjam
- The Digital Process Complexity
- The Digital Information Revolution
- The Digital Transformation Conundrum
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Question 6 of 22

6. Question
What are the parts of the AI-Enabled Vision of the Future?
- There is no future with AI
- The AI-Enabled Enterprise, Autonomous Computing, Enhancing the Human Experience, Pervasive Connectivity
- The AI-Enabled Organization, Autonomous Everything, Enhancing the Human Experience, Pervasive Knowledge
- Robotic Process Automation, Machine Learning Platforms, Big Data, Advanced Cybersecurity
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Question 7 of 22

7. Question
When should you consider using AI? Select all that apply
- Simple Rules Don’t Work
- Requires Object Identification or Classification
- You have deterministic problems
- Because AI has a cool factor
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Question 8 of 22

8. Question
How many patterns of AI are there?
- 1
- 3
- 5
- 7
- 9
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Question 9 of 22

9. Question
Select all the patterns of AI
- Goal Driven Systems
- Hyperpersonalization
- Predictive Analytics & Decision Support
- Automation
- Pattern & Anomaly Detection
- Recognition
- Rules-based Decision-Making
- Conversational Systems
- Autonomous Systems
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Question 10 of 22

10. Question
What are the core aspects of intelligence?
- Programming, Personalization, Participation
- Perception, Prediction, Planning
- Information, Reasoning, Knowledge
- Unsupervised, Supervised, and Reinforcement Learning
- Data, Information, Knowledge, Understanding, Wisdom
- Perception, Prediction, Knowledge
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Question 11 of 22

11. Question
Deep Learning is one approach to Machine Learning
- True
- False
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Question 12 of 22

12. Question
What are the levels of the DIKUW pyramid?
- Data, Information, Knowledge, Understanding, Wisdom
- Digits, Information, Knowledge, Understanding, Wisdom
- Data, Information, Knowledge, Understanding, Willingness
- Data, Intelligence, Knowledge, Understanding, Wisdom
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Question 13 of 22

13. Question
What is correct about Data Science?
- Data Science is focused on extracting useful information from a sea of data
- Data Science translates business and scientific informational needs into the language of information and math
- Data Science is key to Machine Learning
- All of the above
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Question 14 of 22

14. Question
What is correct about Data Engineering?
- Data Engineers are focused on providing clean, eff
- Data Engineers have experience from Big Data
- Data Engineers are not focused on application development or product development
- All of the above
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Question 15 of 22

15. Question
AI and Machine Learning require a Data-First Approach.
- True
- False
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Question 16 of 22

16. Question
Can AI help break the digital transformation log jam?
- Yes
- No
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Question 17 of 22

17. Question
Why use AI at All? Select all that apply
- Simple Rules Don’t Work
- Requires Object Identification or Classification
- You have deterministic problems
- Because AI has a cool factor
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Question 18 of 22

18. Question
AI systems are deterministic
- True
- False
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Question 19 of 22

19. Question
What are some of the applications where AI is best suited?
- Recommendation systems
- Fraud & risk detection
- Pattern recognition
- All of the above
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Question 20 of 22

20. Question
What is Augmented Intelligence?
- Fully replacing the human from the equation.
- Automating repetitive tasks.
- Having the human and AI work together to accomplish a task or achieve a goal
- Systems that try to find the optimal solution to a problem
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Question 21 of 22

21. Question
Neural networks are dead.
- True
- False
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Question 22 of 22

22. Question
AI is all about application development
- True
- False
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