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AI and Machine Learning for Business Application

Q. What is the third step associated with the deep learning process?

a) Selecting deep learning algorithm

b) Understanding the problem

c) Identifying the data

d) Training the model

Answer: Selecting deep learning algorithm


Q. What does the g(n) function in an A* search algorithm signify?

a) Estimated total path to reach the goal node

b) Heuristic value or the value held by the current node to reach the goal node

c) Branching factor

d) Cost to reach the node or the distance between one node to the other node

Answer: Heuristic value or the value held by the current node to reach the goal node


Q. Who gave the significance of AI in HRM as "The age of the intuitive HR leader is gone. Today, you have to use data while making a selection. HR was earlier very process-oriented. Now, we are moving out of that phase, and using decision science and AI to enable Productivity".

a) Julie Nagle

b) Cheryl Johnson

c) Deb Bubb

d) Diane Gherson

Answer: Diane Gherson


Q. This key element of a state space diagram refers to a plateau having an uphill edge. Name the element.

a) Local maximum

b) Shoulders

c) Global maximum

d) Current state

Answer: Shoulders


Q. Which of the following knowledge types available represents the knowledge which draws inferences based on declarative and procedural knowledge?

a) Procedural

b) Declarative

c) Educational

d) Meta-Knowledge

Answer: Meta-Knowledge


Q. In which year did Google switch from Google Translate to a new system known as Google Neural Machine Translation (GNMT), which is an end-to-end learning framework that learns from millions of examples?

a) Aug-15

b) Sep-16

c) Oct-14

d) Nov-17

Answer: Sep-16


Q. It is a syntactic parsing method referring to the determination of the relationship that exits between different words in a sentence. Name the method.

a) Coreference Resolution

b) Named Entity Recognition (NER)

c) Dependency Parsing

d) Sentence Segmentation

Answer: Dependency Parsing


Q. __________ defined a neural network as, "a computing system made up of a number of simple, highly interconnected processing elements, which process information by their dynamic state response to external inputs."

a) McCulloch and Walter Pitts

b) Donald Hebb

c) Dr. Robert Hecht-Nielson

d) Frank Rosenblatt

Answer: McCulloch and Walter Pitts


Q. This particular trend involving the growing interest in the AI field has attracted many students and scholars to study and conduct research in some of the most prestigious institutions such as MIT and Cambridge. Name the term coined for such trend.

a) Emergence of cloud computing and changing connectivity paradigms

b) Increase in investment and funding

c) Emergence of big data

d) Research and development

Answer: Emergence of cloud computing and changing connectivity paradigms


Q. Which of the following AI techniques is used with an aim to reduce the overall cost of designing the AI based games and also can upgrade the in-house games?

a) Visual effects and graphics

b) Game design

c) Fraud detection

d) User analytics

Answer: User analytics


Q. Which of the following tuple sets in a Stochastic game defines a real-value pay-off function for each agent i?

a) N = {1, 2......, n}

b) T : Q x A1 x A2 x A3........An x Q -> [0,1]

c) ri: Q x A1 x A2 x ... x AN -> R

d) T : Q x A1 x A2 x A3........An

Answer: ri: Q x A1 x A2 x ... x AN -> R


Q. This machine learning algorithm uses the classification approach to classify a land covered area into different regions, such as hills and plains. Identify the algorithm mentioned here.

a) Prediction

b) SVM

c) ArcGIS

d) Clustering

Answer: SVM


Q. Identify the incorrect statement.

a) NLP finds it difficult to understand the context of the input text

b) NLP is comfortable to handle different datasets, incomplete problem definition, and evaluation process taken to measure goals

c) NLP faces problem in understanding ambiguous natural language

d) NLP faces problems due to the scarcity of required resources in designing a model

Answer: NLP is comfortable to handle different datasets, incomplete problem definition, and evaluation process taken to measure goals


Q. This technique mainly focuses on how to represent the known facts. Name the technique.

a) Knowledge representation

b) Automated reasoning

c) Machine learning

d) Natural language processing (NLP)

Answer: Knowledge representation


Q. Who conducted the survey which states that around 60% of the users prefer apps over websites to make purchases or carry out business online?

a) MobileSmith and Oracle

b) Marvin Minsky

c) John Hopfield

d) Ray Kurzweil

Answer: MobileSmith and Oracle


Q. In this method, knowledge is represented in the form of if-then rules. If-then rules are the condition/action pairs divided into two parts--the 'IF' part, which is called the premise (condition), and the 'ELSE' part, which is called the conclusion (action)

a) Production Rule

b) Semantic Network

c) Decision Tree

d) Decision Rule

Answer: Production Rule


Q. __________ is a specific function of text classification which aims to classify a text based on the sentimental polarities conveyed by it.

a) Sentiment classification

b) Sentiment analysis

c) Intent analysis

d) Financial and banking analysts

Answer: Sentiment classification


Q. An AI-based recognition tool that helps in identifying the behaviour patterns of users is called __________.

a) AI web app

b) Chatbots

c) Influencer marketing

d) Image recognition

Answer: Influencer marketing


Q. Which of the following statements is not to be considered while implementing AI into business process?

a) Ascertaining where AI can add value or tackle pain points

b) Defining the department/employees responsible for undertaking AI initiatives is not required

c) Identifying employees possessing AI expertise or identifying the need for recruiting new employees prossessing AI expertise

d) Improving decision-making process and other vital processes with automated intelligence

Answer: Defining the department/employees responsible for undertaking AI initiatives is not required


Q. Which of the following implications of AI in the field of sales enables you to make an optimal decision based on features, such as size of the deal in terms of monetary value, product specification, overall number of competitors, company size, client's an

a) Upselling and cross-selling

b) Forecasting

c) Price optimization

d) Managing performance

Answer: Price optimization


Q. This US-based leasing company deployed AI on the Amazon Web Services platform, leading to a considerable improvement in risk assessment. Identify the company.

a) Berkshire Hathaway

b) Crest Financial

c) Walmart

d) McKesson

Answer: Walmart


Q. This approach related to Sentiment Analysis is widely based upon intuitive concepts which enhance the accuracy and precision results. Identify the approach.

a) Automatic approach

b) Hybrid approach

c) Rule-based approach

d) AI-based approach

Answer: Hybrid approach


Q. __________ deals with how fast a deep learning model in NLP is capable of learning a given set of problems.

a) Expressibility

b) Trainability

c) Generalisability

d) Both A & C

Answer: Trainability


Q. Which of the following components related to Natural Language Generator involves the process of realisation, content selection, textual organisation and linguistic resources?

a) Speaker and Generator

b) Application or Speaker

c) Components and levels of representation

d) Realisation

Answer: Components and levels of representation


Q. __________ are responsible for tracking the internal state changes that are modifiable through percepts.

a) Goal-based agents (GBAs)

b) Simple reflex agents (SRAs)

c) Model-based reflex agents (MBRAs)

d) Utility-based agents (UBAs)

Answer: Model-based reflex agents (MBRAs)


Q. Which of the following is not a dimension taken into consideration while dealing with the Big Data?

a) Large-scale optimization of data

b) High-dimensional management of data

c) Dynamical management of data

d) Optimization

Answer: Dynamical management of data


Q. Perceptron adjusted weight can be calculated as: w = n x d x x. What does the alphabet d signify here?

a) Evaluated output - desired output

b) Data input to the neuron

c) Rate of change in weight

d) Learning rate, its value is mostly less than 1

Answer: Rate of change in weight


Q. It is a type of social media marketing system wherein influencers are involved by organisations to promote their products and services on social media. Identify the system.

a) Phonology

b) Geographic information system

c) Influencer marketing system

d) AI web app

Answer: Influencer marketing system


Q. Which of the following algorithms refers to an evolutionary search algorithm that works on the concept of natural selection?

a) Genetic Algorithm

b) Hill Climbing

c) Informed Search

d) Uninformed Search

Answer: Genetic Algorithm


Q. Which of the following SA tools are helpful in cases when you try to analyse not only the polarity (positive, negative or neutral) of reviews given by a product user, but also the particular aspects or features of the product that are being referred to by

a) Intent analysis tools

b) Emotion detection tools

c) Aspect-based SA tools

d) Fine-grained SA tools

Answer: Aspect-based SA tools


Q. In a model, the output layer comprises the same number of nodes as present in the input layer such that if the hidden layers contain a lesser number of nodes as compared to input/output nodes, the activations of the last hidden layer are regarded as a com

a) Autoencoder model

b) Deep Belief Network (DBN) model

c) Convolutional neural network model

d) Neural network

Answer: Autoencoder model


Q. Who predicted the fact, "The line-of business that is most likely to embrace AI first will be the customer service -- typically the most process oriented and technology savvy organization within most companies?

a) Vala Afshar

b) Mukesh Ambani

c) Avinash Kaushik

d) None of these

Answer: Vala Afshar


Q. In this game theory, assumptions do not hold true for non-zero-sum games having perfect information. Name the theory.

a) The Centipede Game

b) The Prisoner's Dilemma

c) Dictator Game

d) Neumann's Theory

Answer: Neumann's Theory


Q. Which of the following is not a type of uninformed search strategies?

a) Depth First Search

b) Breadth First Search

c) Uniform Cost Search

d) A* Search

Answer: A* Search


Q. A classification supervised learning technique which is based on Bayes theorem of probability to analyse the different classes of unknown data sets is known as __________.

a) K-Nearest Neighbours

b) Hierarchical Clustering

c) SARSA Algorithm

d) Naive Bayes

Answer: Naive Bayes


Q. By whom was the definition of knowledge engineering given as 'an engineering discipline that involves integrating knowledge into computer systems in order to solve complex problems normally requiring a high level of human expertise?

a) Marvin Minsky

b) Ray Kurzweil

c) McCorduck

d) John McCarthy

Answer: McCorduck


Q. Dimensionality and noise reduction are the two main practical applications of __________.

a) CNN

b) Autoencoders

c) Named Entity Recognition (NER)

d) Deep Belief Network (DBN) model

Answer: Autoencoders


Q. Choose the incorrect statement in terms of informed search techniques.

a) They find a solution to a problem quickly

b) They require less computing power for carrying out their operations

c) They are capable of handling a wide range of problems

d) They use various algorithms, such as best first search and A* algorithms

Answer: They are capable of handling a wide range of problems


Q. Choose the incorrect statement with respect to automated knowledge acquistion method

a) Increases the productivity of knowledge engineering by reducing the cost

b) Reduces the efforts of a knowledge engineer

c) Increases the need for an expert and a knowledge engineer

d) Improves the quality of the acquired knowledge

Answer: Increases the need for an expert and a knowledge engineer


Q. One of the second major breakthroughs that led to the development of machine learning was the invention of __________ in the year 1969, which later gave rise to the Internet.

a) ARPANET

b) PSTN

c) ATM

d) TCP/IP

Answer: ARPANET


Q. A use case of computer vision where a computer is programmed to identify different objects present in an image along with their location is __________.

a) Computer Vision

b) Object Detection

c) Semantic Segmentation

d) Deep Learning

Answer: Object Detection


Q. As per the Global Market Insights, the investment made by the retail industry in the field of AI will increase to __________ by the year 2024.

a) 7 billion dollars

b) 10 billion dollars

c) 9 billion dollars

d) 8 billion dollars

Answer: 8 billion dollars


Q. In NLP, the language is broken into sets of tokens which relate to some distinct words, sub-words and punctuations. For instance, a word 'taxation' can be divided into two sub-words 'tax' and 'ation'. Based on the information provided, identify the NLP stands

a) Morphological processing

b) Syntax analysis

c) Semantic analysis

d) Pragmatic analysis

Answer: Morphological processing


Q. Which step in problem-solving process deals with the analysis of a problem with the help of various normalisation and visualisation techniques for removing redundancies and anomalies present in the given data?

a) Choosing the solution

b) Identification of solutions

c) Analysing the problem

d) Implementation

Answer: Analysing the problem


Q. Which of the following applications of AI in the field of retailing has enabled the retail brands to handle thousands of user queries parallelly without the need for employing a large human workforce?

a) Robotic or digital assistance

b) Customer support via chatbots

c) Virtual trial rooms for faster decision making

d) Digital racks for fashion products and apparel

Answer: Customer support via chatbots


Q. An associative model, Hopfield network was proposed by John Hopfield in the year __________.

a) 1991

b) 1981

c) 1983

d) 1982

Answer: 1982


Q. Which layer in CNN acts as an activation function and ensures non-linearity while data moves through each layer within a network?

a) Convolutional layer

b) Fully connected layer

c) Pooling layer

d) ReLU (Rectified Linear Unit)

Answer: ReLU (Rectified Linear Unit)


Q. __________ refers to a method of interacting with an intelligent system using natural language in such a way that it involves the analysis of huge chunk of data that can easily be analysed and executed to solve a given problem.

a) Neural Network (NN)

b) Machine Learning (ML)

c) Deep Learning (DL)

d) Natural language processing (NLP)

Answer: Natural language processing (NLP)


Q. Which of the following does not come under the category of representing knowledge?

a) Production Rule

b) Semantic Network

c) Decision Tree

d) Product Analysis

Answer: Product Analysis


Q. This type of concept includes real-time adjustments in the prices of products based on factors, such as demand to supply ratio (DSR), consumer behaviour, competitors' strategies and seasonality. Identify the concept.

a) Dynamic Pricing

b) Targeted Advertising

c) Better User Experience

d) Predictive Analytics

Answer: Dynamic Pricing


Q. This particular step in a machine learning process includes the analysis of the bulk of data to enhance the model to predict new features. Which step of machine learning process is discussed here?

a) Evaluate model

b) Train model

c) Hyper parameter tuning

d) Develop model

Answer: Train model


Q. In which phase of knowledge engineering process is the knowledge organised into a standard format, and represented using graphs and charts after its recognition?

a) Knowledge acquisition

b) Knowledge validation

c) Knowledge representation

d) Inferencing

Answer: Knowledge representation


Q. One of the major goals of AI focuses on __________.

a) Developing an Expert System

b) Implementing Human Intelligence

c) Thinking Humanly

d) Acting Rationally

Answer: Implementing Human Intelligence


Q. __________, an automatic method of knowledge acquisition, is the process of extracting rules from a set of observations.

a) Knowledge Engineering

b) Rule Induction

c) Data Mining

d) Expert System

Answer: Rule Induction


Q. __________ is a method in which an expert is asked to verbalise his thought process while solving a problem. Then these verbalisations are taped and transcribed.

a) Protocol analysis

b) Observation

c) Structured interviews

d) Knowledge data discovery process

Answer: Protocol analysis


Q. Identify the incorrect statement with respect to SVM.

a) SVM scales well even for high dimensional data

b) It uses the concept of generalisation which reduces the risk of overfitting

c) A good kernel factor can easily be selected

d) It can be used for classifying images with greater search accuracy

Answer: A good kernel factor can easily be selected


Q. Which of the following parameters evalutates the overall distance travelled by each training data set, such that a low value will result in maximum distance and high value will result in minimum distance?

a) Regularisation

b) Kernel Tuning

c) Gamma Tuning

d) Induction

Answer: Kernel Tuning


Q. Choose the incorrect statement with respect to Hopfield network

a) Nodes are updated asynchronously

b) Weight between every node is symmetric

c) The connection of a node to itself is allowed

d) A node has no hidden nodes or layers

Answer: The connection of a node to itself is allowed


Q. Which of the following does not belong to the category of unsupervised learning algorithms?

a) Clustering

b) Unsupervised Deep Learning

c) Maximum entropy

d) Data Compression

Answer: Maximum entropy


Q. __________ is another emerging field wherein machine calculations and human insights are combined to provide options that are much more feasible and efficient than what could be provided individually by both.

a) Bionic advisory

b) Robo-advisors

c) Pefin

d) Cogito

Answer: Cogito


Q. Who gave the concept of Artificial Intelligence as the 'The science and engineering of making intelligent machines, especially intelligent computer programs?

a) Marvin Minsky

b) John Hopfield

c) Ray Kurzwell

d) John McCarthy

Answer: John McCarthy


Q. What sort of DNN architecture does a neural network possess in cases where it can stack output of each layer with the initial data or by combining various sets of information?

a) Generative

b) Hybrid

c) Convolutional

d) Discriminative

Answer: Convolutional


Q. Which of the following challenges associated with AI has resulted in the ‘Flash Crash’ event in the US stock market, leaving the entire financial world shocked?

a) Loss of employment

b) Black Swan event

c) Invasion of privacy and manipulation

d) Cybersecurity

Answer: Black Swan event


Q. In collaboration with which company has Bloomberg, a leading business news outlet, launched Alpaca Forecast AI Prediction Matrix, an application capable of showing real-time short-term forecasts for leading markets?

a) FinMirai

b) TontineTrust

c) AlpacaJapan

d) Cryptact

Answer: AlpacaJapan


Q. This model is most widely used in the field of image processing and in natural language processing (NLP) and is also considered to be most effective in classifying and processing images. Name the model.

a) ANN

b) NLP

c) Convolutional neural network model (CNN)

d) Named Entity Recognition (NER)

Answer: Convolutional neural network model (CNN)


Q. __________ represents an interdisciplinary field that connects computer models from AI with the experimental techniques from psychology, so that the accurate and verifiable theories of the human mind can be constructed.

a) Turing Test

b) Machine Learning

c) Cognitive Science

d) Deep Learning

Answer: Cognitive Science


Q. It is an algorithm which makes use of delta rule or gradient descent to identify the value of weight at which the error becomes minimum, such that the weight which minimises error is known as a solution to the problem. Name the algorithm.

a) Q-learning Algorithm

b) Backpropagation Algorithm

c) Fuzzy K-means Clustering

d) K-means Clustering

Answer: Backpropagation Algorithm


Q. What does the function Ω(o/s' , a) in partially observable stochastic games (POSGs) depict?

a) Observation distribution

b) Finite set of n agents

c) Initial state distribution

d) Reward function

Answer: Observation distribution


Q. This function takes the product of input variable along with its weight to compute the activation function ∂ = cx. Name the function.

a) Step function

b) Linear activation function

c) Activation function

d) Sigmoid function

Answer: Linear activation function


Q. A collection of all possible sets of functions is called __________.

a) Instance

b) Attributes

c) Hypothesis class

d) Final concept

Answer: Instance


Q. Which of the following involves the process of having players defeating an AI opponent in a game and is probably the oldest use of AI in games?

a) AI as co-creator

b) AI is guided

c) AI as adversary

d) AI as role-model

Answer: AI as adversary


Q. This category of knowledge based system is defined as a kind of computer program which can take its own decisions to perform specific tasks. Name the system.

a) Neural network

b) Genetic algorithm

c) Case-based reasoning

d) Intelligent agent

Answer: Intelligent agent


Q. The model combining the features of a Belief Network and Restricted Boltzmann Machine (RBM) is called __________.

a) Neural network

b) Convolutional neural network model

c) Deep Belief Network (DBN) model

d) Autoencoder model

Answer: Deep Belief Network (DBN) model


Q. Who wrote the book 'the Theory of Games and Economic Behaviour?

a) John Nash and Herbert Simon

b) John McCarthy

c) John Von Neumann and Oskar Morgenstern

d) Oskar Morgenstern

Answer: John Von Neumann and Oskar Morgenstern


Q. Which of the following clustering techniques makes use of probability distribution function value 1, if the data points are closer to the given centroid and 0, if the data points are located far from the centroid?

a) Fuzzy K-means Clustering

b) K-means Clustering

c) Hierarchical Clustering

d) Q-learning

Answer: Fuzzy K-means Clustering


Q. TensorFlow is preferred because __________.

a) It contains a visual debugging tool

b) It is efficient in terms of execution

c) It provides support for multi-GPUs training datasets

d) It is suitable for fast experiments and prototyping

Answer: It contains a visual debugging tool


Q. This type of learning provides end-to-end learning solution because the network is given raw data and a goal to be accomplished such as classification and it learns the mechanism to reach the goal on its own. Identify the learning process mentioned here.

a) Machine

b) Deep

c) Unsupervised

d) Supervised

Answer: Unsupervised


Q. The component of AI that searches potential solution by performing various functions is referred as __________.

a) Deep learning

b) AI problem solving

c) Neural networks

d) Big data

Answer: AI problem solving


Q. Which of the following challenges faced by SA leads to the problem of analysing the sentiments without the context since all the utterances extract their meaning from the context itself?

a) Dealing with comparison

b) Differentiating between context and sarcasm

c) Differentiating between irony and sarcasm

d) Identifying context and polarity

Answer: Differentiating between context and sarcasm


Q. Who gave and wrote the concept of ELIZA, the first chatbot?

a) Carl Hewitt

b) Joseph Weizenbaum

c) Terry Winograd

d) Seymour Papert

Answer: Joseph Weizenbaum


Q. Steffi is having a choice of three routes from her home to visit the nearest grocery shop. Which search algorithm should she use to follow the most prominent path resulting in a minimum cost to reach the goal node?

a) Uniform Cost Search

b) Hill Climbing

c) Best First Search

d) A* Search

Answer: A* Search


Q. Which component of the game tree defines all the sets of legal moves which a player can make while playing the game?

a) Initial state

b) Successor function

c) Treminal state

d) Utility function

Answer: Successor function


Q. While implementing Backpropagation algorithm, Ana computes an error 'e' such that its calculation simply equals to the subtraction of the actual output from the model output. What is the term coined for such calculation?

a) Exploding Gradient

b) Vanishing Gradient

c) Gradient Descent

d) Minimax Error

Answer: Vanishing Gradient


Q. Which of the following companies provides AI augmented messaging services?

a) Oracle

b) Cryptact

c) LivePerson

d) DigitalGenius

Answer: LivePerson


Q. __________ does not belong to the practical usage of Recurrent Neural Networks (RNN).

a) Tokenisation

b) Machine Translation

c) Image Captioning

d) Question Answering System

Answer: Tokenisation


Q. In a game, a player A is having money, which needs to be shared with another player B in such a way that B is free to accept or reject A's proposal. If B accepts, the money is shared as per the offer. In case B rejects, both will get nothing. Name the type of game played?

a) Dictator Game

b) Volunteer's Dilemma

c) The Centipede Game

d) Ultimatum Game

Answer: Dictator Game


Q. Choose the incorrect statement with respect to K-means clustering

a) It is an unsupervised learning technique

b) Selecting a relevant value for the variable 'K' is an easy approach

c) This algorithm works iteratively to generate the final output

d) It involves categorisation of unlabelled data into different groups

Answer: Selecting a relevant value for the variable 'K' is an easy approach


Q. Which data structure is used in the implementation of depth-first search?

a) Stack

b) Queue

c) Linked List

d) Graph

Answer: Stack


Q. This sub-field of linguistics deals with language in use and the context in which it is used, including important aspects such as presupposition, the taking of turns in conversation, text organisation, and connotation. Identify the concept mentioned here

a) Morphology

b) Phonology

c) Syntax

d) Pragmatics

Answer: Pragmatics


Q. Which of the following issues, concerned with knowledge representation, enables its user to keep focus on properties of an object that represent a set of objects rather than an individual object?

a) Representing sets of objects

b) Granularity

c) Important attributes

d) Relationships among attributes

Answer: Granularity


Q. An accurate __________ guides an agent towards positions that can lead to the goal state.

a) Heap data structure

b) Current node

c) Action

d) Evaluation function

Answer: Evaluation function


Q. Facial recognition and optical character recognition are examples of __________.

a) Pattern recognition

b) Time series forecasts

c) Signal processing

d) Detection of frauds

Answer: Pattern recognition


Q. A __________ requires a browser as an interface to function whereas an application (app) can be downloaded and installed from an app store on any mobile device.

a) Browser user interface

b) Search engine

c) Webpage

d) Website

Answer: Website


Q. This technique involves grouping the data points in various clusters on a probablilistic scale. Name the technique.

a) Sentiment analysis

b) Sentiment classification

c) Naive Bayes

d) Probabilistic clustering

Answer: Probabilistic clustering


Q. It is a type of recursive algorithm which is used to find the optimal move for a player in the game theory, with the assumption that the opponent is also playing optimally. Name the algorithm.

a) Alpha-beta pruning Algorithm

b) Minimax Algorithm

c) Machine learning Algorithm

d) Q-learning Algorithm

Answer: Minimax Algorithm


Q. It is a process of extracting relevant information from a given text, analysing the given input text, generating patterns from it and finally, evaluating the generated output. Name the process.

a) Regression Analysis

b) Text Analysis

c) Natural Language Understanding

d) Natural Language Generation

Answer: Natural Language Generation


Q. A user uses a machine which consists of both sensors and a DNN in order to process a large amount of data, which in turn helps him/her identify hurdles and respond appropriately, thereby increasing his/her knowledge on a dynamic basis. Name the machine used.

a) Self-driving cars

b) Autoencoders

c) French Street Name Signs (FSNS)

d) MXNet

Answer: Self-driving cars

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