Here in this post you will find all the answers of Artificial Intelligence Foundations Exams – SkillUp.
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Program Outline: (All Exams answers links)
- Course 1: Introduction to Artificial Intelligence
- Course 2: Database Concepts
- Course 3: AI Programming Fundamentals: Python
- Course 4: AI Statistics: Python
- Course 5: Data Visualization with Python
- Final Exam
Let’s start with Course 1: Introduction to Artificial Intelligence which is a part of Artificial Intelligence Foundation Exams – SkillUp
Course 1: Introduction to Artificial Intelligence
Artificial Intelligence Foundations Exams answers – SkillUp
Exam 1.1 – 4 Questions
Question 1. True or False? Artificial Intelligence is “the science and engineering of making intelligent machines,” as defined by computer scientist John McCarthy in 1956.
- True
- False
Answer: True
Explanation: Artificial Intelligence is defined by John McCarthy as “the science and engineering of making intelligent machines.”
Question 2. Alan Turing (1912-1954) is known as:
- the one who popularized the term “machine learning.”
- the father of theoretical computer science and artificial intelligence.
- the father of machine perception.
- the one who coined the term “artificial intelligence” in 1955.
- the father of information theory which contributed to the development of modern AI.
Answer: the father of theoretical computer science and artificial intelligence.
Explanation: Alan Turing is known as the father of theoretical computer science and artificial intelligence.
Question 3. True or False? Machine Learning is a computer programmed to learn like a human, but faster.
- True
- False
Answer: False
Explanation: Machine Learning is actually the part of AI that trains a machine how to learn based on manually input features and classifiers. Cognitive Classifiers is a computer programmed to learn like a human, but faster.
Question 4. ____________ attempts to mimic the way the brain works and learns with multiple nodes between the input and the output with the program building connections between those nodes.
- Cognitive Computing
- Machine Learning
- Deep Learning
- Neural Network
- Natural Language Processing
Answer: Neural Network
Exam 1.2 – 4 Questions
Question 1. True or False? Artificial Intelligence as we know it now—self-driving cars, phone apps, etc. is often called Artificial General Intelligence.
- True
- False
Answer: False
Question 2. True or False: Narrow Intelligence if the only type of AI to exist currently.
- True
- False
Answer: True
Explanation: Narrow Intelligence is to date the only type of AI to exist currently.
Question 3. ______________ is moving onto the realm of computers that operate in such a human manner that they have self-awareness.
- Narrow AI
- Artificial General Intelligence
- Super AI
- All of the above
- None of the above
Answer: Artificial General Intelligence
Question 4. True or False: Artificial Super Intelligence is where machines go beyond human intelligence, including creativity, intelligence, memory, and ability.
- True
- False
Answer: True
Exam 1.3 – 4 Questions
Question 1. Machines must have structures in place that allows them to acquire, build, and understand language. To do this, programs use operations like:
- Text Analytics
- Word Frequency
- Stemming
- Sentiment Analysis
- All of the above
Answer: All of the above
Explanation: Text Analytics, Word Frequency, Stemming, and Sentiment Analysis are all operations that machines use to acquire, build, and understand language.
Question 2. ______________ is the process of pulling meaningful data from images and video to accomplish a given task.
- Image analysis
- Image classification
- Equalization
- Edge detection
- Image index
Answer: Image analysis
Question 3. True or False: The core of bot programming is Natural Language Processing which can be automated through QandA cognitive services which creates a natural conversational layer over a custom knowledge base of information.
- True
- False
Answer: True
Question 4. Which of the following is a very robust QandA bot that is most often accessed by voice as a chatbot?
- Siri
- Cortana
- Alexa
- All of the above
- None of the above
Answer: All of the above
Explanation: Siri, Cortana, and Alexa are all robust QandA bots that are most often accessed by voice as a chatbot.
Exam 1.4 – 4 Questions
Question 1. True or False: AI analytics is a component of business intelligence that uses software that mimics human behavior such as learning, reasoning, and analyzing.
- True
- False
Answer: True
Question 2. Which of the following is NOT part of the acronym IRAC?
- Issue
- Rule
- Application
- Closing
- None of the above
Answer: Closing
Explanation: IRAC stands for Issue, Rule, Application, and Conclusion, not Closing.
Question 3. Which of the following is NOT one of Satya Nadella’s Proposed Laws for AI?
- AI must be designed to assist humanity
- AI must be transparent
- AI must be designed for intelligent privacy
- AI must reflect human bias
- None of the above
Answer: AI must reflect human bias
Explanation: In fact, Satya Nadella proposes that AI guard against bias, rather than reflect human bias. Satya Nadella’s complete proposed laws for AI are that AI must be designed to assist humanity, AI must be transparent, AI must maximize efficiencies without destroying the dignity of people, AI must be designed for intelligent privacy, AI needs algorithmic accountability so humans can undo unintended harm, AI must guard against bias, and a human is ultimately accountable for the outcome of a computer-generated diagnosis or decision.
Question 4. In __________________ data is selected to support the desired outcome and data that runs counter to the ideal is purposely ignored.robust QandA bot that is most often accessed by voice as a chatbot?
- Sampling Bias
- Measurement Bias
- Exclusion Bias
- Prejudicial Bias
- Confirmation Bias
Answer: Confirmation Bias
Exam 1.5 – 4 Questions
Question 1. True or False: There are two types of Supervised learning: Classification and Regression.
- True
- False
Answer: True
Question 2. True or False: Classification can be of two types: Binary Classification and Multi-level Classification.
- True
- False
Answer: False
Question 3. Which of the following is NOT o__________________ is a hierarchical method of clustering. In this method, each data point is considered as a different group to start with and then based on the distance between each other they are aggregated progressively until they make one big cluster.
- K-Means Clustering
- Density-based Clustering
- Agglomerative Clustering
- All of the above
- None of the above
Answer: Agglomerative Clustering
Question 4. In Density-based Clustering, the points along the perimeter are considered ______________.
- eps
- core points
- border points
- noise
- outliers
Answer: border points
Final Exam – 15 Questions
Artificial Intelligence Foundations Exams answers – SkillUp
Question 1. True or False: AI, in its current state, could be said to be computers or programs that attempt to mimic human intelligence through displays of reasoning, learning, analyzing, and problem solving.
- True
- False
Answer: True
Question 2. Fill in the blank: ______________ is known as the “father of theoretical computer science and artificial intelligence.”
- Alan Turing
- Arthur Samuel
- Claude Shannon
- Ray Solomonoff
- Jerome Wiesner
Answer: Alan Turing
Question 3. Fill in the blank: _______________ is the first industrial robot to replace a human on an assembly line at a GM automobile manufacturing plant in New Jersey.
- Shakey
- KISMET
- Deep Blue
- Unimate
- ELIZA
Answer: Unimate
Explanation: Unimate was the first industrial robot to replace a human on an assembly line at a GM automobile manufacturing plant in New Jersey in 1961.
Question 4. Fill in the blank: _____________ analyze, visualize, and model large sets of data to build and implement new machine learning models to inform and guide industry decisions—whether that is in science, marketing, media, or law.
- Data Scientists
- None of the above
- AI Robotics Engineers
- Computer Vision Engineers
- Machine Learning Engineers
Answer: Data Scientists
Question 5. True or False: The development of Applied Artificial Intelligence, what we have now, could lead to the AI we dream of, termed Artificial General Intelligence.
- True
- False
Answer: True
Question 6. Which of the following is NOT true about Narrow Intelligence?
- Narrow Intelligence is the only type of AI to exist currently.
- “Personal assistants” like Siri and Cortana use Narrow Intelligence.
- Narrow Intelligence machines are not only self-aware, but self-preserving.
- Narrow Intelligence programs are the spam filters on your email inbox, facial recognition software, recommendations brought to you by Amazon, Netflix, Google Ads, etc.
- Narrow Intelligence is designed for a specific task, running just as its programming prescribes, with no variance (unless re-programmed, updated, or additional data loaded).
Answer: Narrow Intelligence machines are not only self-aware, but self-preserving.
Question 7. Fill in the blank: _____________ which is the automated process of understanding and classifying unstructured text.
- Term Frequency
- Sentiment Analysis
- Stemming
- Text Analytics
- Word Frequency
Answer: Text Analytics
Question 8. Fill in the blank: _______________ is the analysis and classification of text that reveals subjective information like emotion and opinion about specific topics.
- Term Frequency
- Sentiment Analysis
- Stemming
- Text Analytics
- Word Frequency
Answer: Sentiment Analysis
Question 9. True or False: As image and video processing applications become more refined and widely used, concerns around accuracy, bias, and privacy abound. Add the question text, or prompt, here. This text is required.
- True
- False
Answer: True
Question 10. Which one of the following is NOT one of the six ways to reduce bias?
- Create guidelines for avoiding and eliminating biased data selection and document bias when it does occur so that it can be identified and mitigated.
- Test and evaluate learning models before being placed in production.
- Create a plan for selecting accurate and representative data. Review the nature of the data selection field in order to understand the best way to select clean data.
- Keep the data selection process and data cleansing private. Making this process available for external review will cause biased data.
- Identify potential data bias sources, selections, and risks. Eliminate or mitigate biased data.
Answer: Keep the data selection process and data cleansing private. Making this process available for external review will cause biased data.
Question 11. True or False: There is a tension between law and technology in part because technology evolves faster than law can keep up.
- True
- False
Answer: True
Question 12. AI in Healthcare is already being used to:
- Perform surgery using robotics
- Analyze charts, scans, tests, and medical histories
- Predict, track, trace, and prevent viral outbreaks
- All of the above
- None of the above
Answer: All of the above
Question 13. True or False: Multi-class Classification is when the target you are trying to find can only be one of the two outcomes such as On/Off or Yes/No.
- True
- False
Answer: False
Question 14. Fill in the blank: ______________ is a hierarchical method of clustering where each data point is considered a different group to start with and then based on the distance between each other they are combined progressively until they make one big cluster.
- Density Based Clustering
- K-Means Clustering
- Agglomerative Clustering
- All of the above
- None of the above
Answer: Agglomerative Clustering
Question 15. True or False: The dataset is split into training set and test set. The training set is used to train the model and the test set is used to check the accuracy of the predictions.
- True
- False
Answer: True
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