Introduction to Artificial Intelligence Skillup Exam Answers

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Introduction to Artificial Intelligence Skillup All Exam Answers

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

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.

Question 3: True or False? Machine Learning is a computer programmed to learn like a human, but faster.

  • True
  • False

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

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

Question 2: True or False: Narrow Intelligence if the only type of AI to exist currently.

  • True
  • False

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

Question 4: True or False: Artificial Super Intelligence is where machines go beyond human intelligence, including creativity, intelligence, memory, and ability.

  • True
  • False

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

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

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

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

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

Question 2: Which of the following is NOT part of the acronym IRAC?

  • Issue
  • Rule
  • Application
  • Closing
  • None of the above

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

Question 4: In __________________ data is selected to support the desired outcome and data that runs counter to the ideal is purposely ignored.

  • Sampling Bias
  • Measurement Bias
  • Exclusion Bias
  • Prejudicial Bias
  • Confirmation Bias

Exam 1.5 – 4 Questions

Question 1: True or False: There are two types of Supervised learning: Classification and Regression.

  • True
  • False

Question 2: True or False: Classification can be of two types: Binary Classification and Multi-level Classification.

  • True
  • False

Question 3: __________________ 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

Question 4: In Density-based Clustering, the points along the perimeter are considered ______________.

  • eps
  • core points
  • border points
  • noise
  • outliers

Final Exam – 15 Questions

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

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

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

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

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

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).

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

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

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

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.

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

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

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

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

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
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