AI FOR BUSINESS- Exam 1- additional sample questions

The no free lunch rule is what type of machine learning mistake? A- Data Mistake B-Business Mistake C-Model Mistake

A- Data Mistake

Which of the following is not an approach to dimensionality reduction? A- K-means algorithm B-Linear Discriminant Analysis C-Partial Least Squares D-Principal Component Analysis

A- K-means algorithm

Which type of AI "is built to perform limited, specific tasks"? A- Narrow AI B- Weak AI C- Broad AI D- Strong AI

A- Narrow AI

What type of machine learning: 1) gives system labeled training data, 2) system learns rules that can map new inputs to correct outputs, and 3) is used for classification and regression? A- Supervised Learning B-Unsupervised Learning C-Semi-Supervised Learning D-Reinforcement Learning

A- Supervised Learning

What element of the speech recognition system understands what the user intends by interpreting utterances in context? A- discourse interpretation B- dialogue management C- speech synthesis D- speech recognition

A- discourse interpretation

Defined as smallest meaningful unit of language: A- morpheme B- lexical C- phono D- syntatic

A- morpheme

Defined as what words mean and how these meanings combine in sentence to form sentence meaning A- semantic B- phonology C- morphology D- pragmatics

A- semantic

Defined as different ways to parse a sentence: A- syntactic B- phonology C- pragmatics D- morphology

A- syntactic

Which type of machine learning is used for classification and regression? A- Supervised Learning B-Unsupervised Learning C-Semi-Supervised Learning D-Reinforcement Learning

A-Supervised Learning

Cognitive modeling is an example of which approach to AI: A- Thinking Humanly B-Thinking Rationally C-Acting Humanly D-Acting Rationally

A-Thinking Humanly

Which step in natural language understanding involves morphological analysis: A-words B-morphologically analyzed words C-context-independent meaning representation D- final meaning representation

A-words

The no free lunch rule means: Select one: a. Not having a strong business case b. The deli cannot process your credit card during your lunch break c. The model is too simple to capture the underlying data d. The training and testing data are coming from the same source

d. The training and testing data are coming from the same source

Classification is: Select one: a. Using supervised learning on continuous data b. Using unsupervised learning on discrete data c. Using unsupervised learning on continuous data d. Using supervised learning on discrete data

d. Using supervised learning on discrete data

Machine learning where a system is given labeled training data reflects: a-supervised learning b-unsupervised learning c-reinforcement learning d-semi-supervised learning

a-supervised learning

The approach for a recommendation agent that is based upon the content of the documents is known as the: a- hybrid approach b- collaborative based approach c- keyword based approach d- content based approach

d- content based approach

Which of the following are early business applications of AI: a-tasks that are difficult to process due to excessive or complex data b-deliberate decisions in a slow moving environment c-driverless cars d-tasks that are similar to the capabilities of humans

a-tasks that are difficult to process due to excessive or complex data

Over time, with experience... a-shrink their solution space b-humans become more limited in their abilities to process the world around them c-humans make rational decisions d-humans are able to take their knowledge and contextualized data

d-humans are able to take their knowledge and contextualized data

Knowledge is: a-data that has been shaped into a form that is meaningful and useful b-similar to wisdom c-streams of raw facts representing events d-information that has been organized and processed

d-information that has been organized and processed

Which of the following is true: a-the right thing for a system to do is that which is expected to maximize goal achievement b-humans always act rationally c-all intelligent behavior is mediated by logical deliberation d-there is one right action for any given set of circumstances

a-the right thing for a system to do is that which is expected to maximize goal achievement

If a data scientist tries different methods to find the best approach to the underlying data, what would this be termed: Select one: a. Ensemble learning b. Deep Learning c. Neural Network d. Machine Learning

a. Ensemble learning

The method where a new data point is mapped against existing data to find the closest location on an n-dimensional space, this would be: Select one: a. K-Nearest Neighbor b. Decision Tree c. Random Forest d. K-Means

a. K-Nearest Neighbor

Unsupervised learning with discrete data is known as: A-Clustering B-Dimensionality Reduction C-Classification D-Regression

A-Clustering

If a firm decides to become a new AI company or tech provider for the industry, what strategic alternative have they selected? A-New Technology, New Business Model B-Current Infrastructure, Current Business Model C-Current Infrastructure, New Business Model D-New Products, Current Business Model

A-New Technology, New Business Model

Which of the following is not a mistake of deep learning: A- Data Mistakes B-Mathematical Errors C-Business Mistakes D-Model Mistakes

B-Mathematical Errors

Which of the following is not an approach to classification: A- K-nearest neighbor B-Random Forest C-Decision Tree

B-Random Forest

Which step in natural language understanding involves syntactic analysis: A-words B-morphologically analyzed words C-context-independent meaning representation D- final meaning representation

B-morphologically analyzed words

If a manger wanted to discover the different types of customers that the business had (and did not know the number before), the approach would be: Select one: a. Regression b. Clustering c. Classification d. Dimensionality Reduction

b. Clustering

Defined as the total stock of morphemes in a language A- morphology B- lexicon C- phonology D- syntatic

B- lexicon

Which type of machine learning is used for game playing and robotics? A- Supervised Learning B-Unsupervised Learning C-Semi-Supervised Learning D-Reinforcement Learning

D- Reinforcement Learning

Which type of AI "self-improves through machine learning based upon experience"? A- Narrow AI B- Weak AI C- Broad AI D- Strong AI

D- Strong AI

Defined as different meanings of words: A- syntactic B- dialogue C- morphemes D- lexical

D- lexical

When setting up a recommendation agent, one should consider all of the following except: a- maintenance of data needs to be part of ongoing processes b- ensuring motivation of users to rate will need to be thought through c-the difficulty of setting-up d-that a recommendation agent will provide truth that is never wrong, thus altering decision making

d-that a recommendation agent will provide truth that is never wrong, thus altering decision making

Given the following facts, what is the accuracy level of the machine learning approach - True Positive: 10 cases; False Positive: 8 Cases; False Negative: 4 Cases; True Negative: 10 cases Select one: a. 37.5% b. 50% c. 60% d. 62.5%

d. 62.5%

If a manager wanted to predict a FICO score using a set of numeric data, the approach would be: Select one: a. Dimensionality Reduction b. Classification c. Clustering d. Regression

d. Regression

Which type of AI "includes systems that can be applied to many contexts"? A- Narrow AI B- Weak AI C- Broad AI D- Strong AI

C- Broad AI

Underfitting and overfitting are what type of machine learning mistake? A- Data Mistake B-Business Mistake C-Model Mistake

C- Model Mistake

Defined as a conversation between two or more persons: A- lexical B- context-free grammer C- dialogue D- lexicon

C- dialogue

What element of the speech recognition system determines the systems goals in response to user utterances based on user intention? A- speech recognition B- semantic interpretation C- dialogue management D- signal processing

C- dialogue management

Defined as how words are constructed from more morphemes: A- semantic B- phonology C- morphology D- pragmatics

C- morphology

Which of the following is not an approach to dialogues systems: A- touch tone replacement B- directed dialogue C- natural dialogue D- natural language

C- natural dialogue

Text analysis, sentiment analysis, reputation monitoring, customer service, and market intelligence can all be solved by: A- recommendation agents B- cluster models C- natural language processing D- content filtering

C- natural language processing

What element of the speech recognition system converts the audio wave into a sequence of feature vectors A- discourse interpretation B- speech recognition C-signal processing D- semantic interpretation

C- signal processing

Turing Test is an example of which approach to AI: A- Thinking Humanly B-Thinking Rationally C-Acting Humanly D-Acting Rationally

C-Acting Humanly

Supervised learning with discrete data is known as: A-Clustering B-Dimensionality Reduction C-Classification D-Regression

C-Classification

If a firm decides to partner with an AI Company, what strategic alternative have they selected? A-New Technology, New Business Model B-Current Infrastructure, Current Business Model C-Current Infrastructure, New Business Model D-New Products, Current Business Model

C-Current Infrastructure, New Business Model

Which of the following is not a system that supports the information element of the D-I-K-W pyramid? A-DSS B-GDSS C-EBS D-MIS E-OAS

C-EBS

Which of the following is not a reason the Turing test was critiqued: A-theological B-outcomes C-errors D-mathematical E-consciousness

C-Errors

What type of machine learning: 1)is between supervised and unsupervised and 2)looks for structures and patterns and then asks the user if the pattern is correct? A- Supervised Learning B-Unsupervised Learning C-Semi-Supervised Learning D-Reinforcement Learning

C-Semi-Supervised Learning

Which of the following is not an approach to ensemble learning? A-Majority Vote B-Weighted Voting C-Structured Vote

C-Structured Vote

Which step in natural language understanding involves semantic analysis: A-words B-morphologically analyzed words C-context-independent meaning representation D- final meaning representation

C-context-independent meaning representation

All of the following are limitations of the content based approach except: A- the new user problem B- training of the classifier network C- the new item problem D- poor scalability

C- the new item problem

Which type of AI "executes tasks within a rules-based programmed domain"? A- Narrow AI B- Weak AI C- Broad AI D- Strong AI

B- Weak AI

A variation of a recommendation agent that combines similar items into a recommendation list is known as: A- knowledge based recommendation agent B- item to item similarity C- item to user similarity D- cluster model

B- item to item similarity

Defined as how sounds are used in language: A- semantic B- phonology C- morphology D- pragmatics

B- phonology

What element of the speech recognition system determines the meaning of words? A- discourse interpretation B- semantic interpretation C- signal processing D- speech synthesis

B- semantic interpretation

What element of the speech recognition system decodes the sequence of feature vectors into a sequence of words? A- signal processing B- speech recognition C- speech synthesis D- dialogue management

B- speech recognition

If a firm decides to add AI-powered features to their products, what strategic alternative have they selected? A-New Technology, New Business Model B-Current Infrastructure, Current Business Model C-Current Infrastructure, New Business Model D-New Products, Current Business Model

B-Current Infrastructure, Current Business Model

Unsupervised learning with continuous data is known as: A-Clustering B-Dimensionality Reduction C-Classification D-Regression

B-Dimensionality Reduction

"Laws of Thoughts" is an example of which approach to AI: A- Thinking Humanly B-Thinking Rationally C-Acting Humanly D-Acting Rationally

B-Thinking Rationally

What type of machine learning: 1)give system unstructured data, 2)system asked to discover structures and patterns in the data, 3) used for clustering based upon similarity? A- Supervised Learning B-Unsupervised Learning C-Semi-Supervised Learning D-Reinforcement Learning

B-Unsupervised Learning

Which type of machine learnings is used for clustering based on similarity? A- Supervised Learning B-Unsupervised Learning C-Semi-Supervised Learning D-Reinforcement Learning

B-Unsupervised Learning

Which step in natural language understanding involves discourse processing: A-words B-morphologically analyzed words C-context-independent meaning representation D- final meaning representation

D- final meaning representation

A recommendation agent can be relevant to information architecture for all of the following reasons except: A- it reduces search effort B- it enhances browsing C- it increases the findability of information D- it allows organizational system to remain the same

D- it allows organizational system to remain the same

Defined as how sentences are used in different situations and how use affects the interpretation of the sentence: A- semantic B- phonology C- morphology D- pragmatics

D- pragmatics

What element of the speech recognition system generates synthetic speech as a response? A- signal processing B- semantic interpretation C- dialogue management D- Speech synthesis

D- speech synthesis

All of the following are limitations of the collaborative based approach except: A- the new user problem B- poor scalability C- the new item problem D- the sparsity problem

D- the sparsity problem

Rational Agents is an example of which approach to AI: A- Thinking Humanly B-Thinking Rationally C-Acting Humanly D-Acting Rationally

D-Acting Rationally

If a firm decides to create AI-powered products in their product mix, what strategic alternative have they selected? A-New Technology, New Business Model B-Current Infrastructure, Current Business Model C-Current Infrastructure, New Business Model D-New Products, Current Business Model

D-New Products, Current Business Model

Supervised learning with continuous data is known as: A-Clustering B-Dimensionality Reduction C-Classification D-Regression

D-Regression

Deep learning: a- learns to interpret data b- uses a few thousand data points c-is directed by a user d-learns to predict data

a- learns to interpret data

Content based approaches use what space to represent the relationship between the user and the item: a- vector space b- user-object space c- Euclidean distance d- user-item space

a- vector space

If you decide that you want to use ratings that your users provide to create a recommendation agent, you are using: a- hybrid approach b-collaborative based approach c-content based approach d-keyword based approach

b-collaborative based approach

The objective of machine learning is: Select one: a. To use a neural network to uncover hidden patterns in data b. To use algorithms from the data and past experience c. To get rules from existing data d. To extract knowledge from data

b. To use algorithms from the data and past experience

Algorithms that allow computers to learn from examples without being programmed refers to: a- deep learning b- artificial intelligence c- machine learning d- neutral networks

c- machine learning

The Turing test stated: a-computers should act rationally b-AI should think like a human c-You should be able to interact with a computer not knowing a computer is on the other end d-Your interaction with a computer should be a unique experience

c-You should be able to interact with a computer not knowing a computer is on the other end

Systems that can be applied to many contexts is: a-strong AI b-narrow AI c-broad AI d-weak AI

c-broad AI

Recommendation agents can be improved by: a-obscuring the algorithm b-assuming that everyone using the agent is honest c-building up a relationship of trust between the user and the agent d-neglecting to understand context and just focusing upon the results

c-building up a relationship of trust between the user and the agent

Which of the following explains the AI productivity paradox: a-no companies have seen gains due to AI b-a clear sense of what AI can do c-implementation lags d-the spillover effects have been minor

c-implementation lags

If a firm decides to create AI-powered products in a product mix, which of the following strategic alternatives have they selected? a- current infrastructure, current business model b-current infrastructure, new business model c-new products, current business model d-new technology, new business model

c-new products, current business model

The AI approach that systems should think as a human reflects which of the following approaches to AI: a- act humanly b-act rationally c-think humanly d-think rationally

c-think humanly

All of the following factors influence a model in machine learning except: Select one: a. Uneven availability of instsances b. Missing feature values c. A small number of features d. Few instances for a complex classification task

c. A small number of features

A neural network: Select one: a. Uses a model defined by the user b. Should only be used in limited circumstances c. Alters the states, weights, and paths in a network to determine the best fit for the data d. Matches an existing model against new data

c. Alters the states, weights, and paths in a network to determine the best fit for the data

An AI that self-improves through machine learning, based upon experience is: a- Narrow AI b- Weak AI c- Broad AI d- Strong AI

d- Strong AI

The algorithm for calculating the content based approach is known as: a- Vector-TF b- TF-DC c- W-TF d- TF-IDF

d- TF-IDF

For business, the best AI approach is to use... a- a circuit model of the brain b- complex algorithms c- predictive analytics d- a rational agents

d- a rational agent