MFDM AI Quiz

MFDM AI The Renaissance Quiz Question and Answers

Why is Artificial Intelligence (AI) gaining importance?

  • Avanlanche of Data Generation
  • Need for more Computational Power
  • Need for better Algorithms
  • All the options

Machine Learning is a subset of __________.

  • Deep Learning
  • Artificial Intelligence
  • None of the mentioned

_____________ refers to the intelligence capability of computers to surpass that of humans.

  • General Intelligence
  • Narrow Intelligence
  • Super Intelligence

Which of the following is/are AI based product(s)?

  • Siri
  • Alexa
  • Google AI Eye Doctor
  • Google Virtual Assistant
  • All the options

A part of Machine Learning where an agent learns to behave optimally, by performing actions that will either be rewarded or punished.

  • Unsupervised Learning
  • Supervised Learning
  • Reinforcement Learning

A Machine Learning technique that helps in detecting the outliers in dat

  • Regression
  • Anamoly Detection
  • Classification
  • Clustering

The MFDM™ Framework constitutes __________.

  • Collaboration Platform
  • Enterprise Intelligence Platform
  • Enterprise Response Engine
  • All the options

Key characteristic(s) of MFDM™ include(s):

  • Ubiquitous
  • Polymorphic
  • Business First
  • Inherently Secure
  • All the options

Benefits of MFDM™ include:

  • Customized services for Stakeholders
  • Enables human resources to execute more complex and better quality work
  • Drives Superior Customer Experience
  • All the options

The MFDM™ Execution Model has __________ stages.

  • 3 stages
  • 4 stages
  • 5 stages

The MFDM™ Execution Model life cycle has __________ phases.

  • Three
  • Four
  • Five

ML data can be represented in _____________ form(s).

  • Scalar and Vector
  • Matrix and Spatial
  • All the above options

In an ML model, the response variable can be __________.

  • Continuous only
  • Continuous or Discrete
  • Discrete only

The ML model stage which aids in uncovering the hiddens patterns of data.

  • Model Evaluation
  • Data Gathering
  • Exploratory Data Analysis
  • Data Cleaning

Non-biological entities exhibiting complex, goal-oriented behavior is called __________.

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • All the options

Training data is used in model evaluation.

  • True
  • False

GPUs enable perfect processing of __________ dat

  • Vector
  • Scalar
  • Spatial

Which among the following is better for processing Spatial Data?

  • GPU
  • FPGA
  • CPU
  • None of the mentioned

____________ learning aids in uncovering hidden patterns from unlabeled data.

  • Unsupervised
  • Supervised
  • Reinforcement

In Linear Regression, plotting the relationship between dependent and independent variables will form a __________.

  • Parabola
  • Sigmoid Curve
  • Straight Line
  • All the options

Naive Bayes works based on the idea that Predictor variables in the ML process is __________ of each other.

  • Independent
  • Dependent

 

__________ is the process of splitting whole data into smaller chunks in NLP.

  • Tokenisation
  • Lemmatization
  • Stemming

In Supervised Learning Algorithm Linear Regression, the dependent Response variable is __________.

  • Discrete only
  • Continuous or Discrete
  • Continuous only

Scenario: Number of calories burnt is calculated based on the hours of exercise. Which is the Predictor variable in this scenario?

  • Hours of exercise
  • None of the mentioned
  • Number of calories burnt

Scenario: Number of calories burnt is calculated based on the hours of exercise. Which is the Response variable in this scenario?

  • Hours of exercise
  • Number of calories burnt
  • None of the mentioned

Scenario: You are given some news articles to group into sets that have the same story.
Which type of learning would you suggest to address this issue?

  • Unsupervised
  • Reinforcement
  • Supervised

A Python package used in text analysis and natural language processing.

  • Pandas
  • Scikit-learn
  • NLTK

Which among the following is not an application of Natural Language Programming (NLP)?

  • ChatBot
  • Sentimental Analysis
  • Speech Recognition
  • Market Basket Analysis

The key feature(s) of Ignio™ include(s) __________

  • Pro-active
  • Reliable
  • Agile
  • All the options

Classification problems aid in predicting __________ outputs.

  • Continuous only
  • Categorical or Discrete only
  • All the options

In Reinforcement Learning, algorithms that learn from trial and error are called __________.

  • Environments
  • Policies
  • Agents
  • Rewards

Lemmatization helps in morphological analysis of words.

  • True
  • False

In a Decision Tree, the leaf node represents a __________.

  • Response variable
  • Predictor variable

The __________ stage of the CRISP-DM process focuses on understanding the objectives and requirements of a project.

  • Business Understanding
  • Modeling
  • Data Preparation
  • Deployment
  • Evaluation
  • Data Understanding

CRISP-DM is an open standard process model that contains _ stages.

  • 5
  • 4
  • 6
  • 7

Logistic Regression is a type of __________ problem.

  • Classification
  • Regression
  • Clustering

SEMMA is a patented model.

  • True
  • False

AI made its emergence with ____ evolutionary stages.

  • 5
  • 4
  • 3
  • 1

In the three evolutionary stages of artificial intelligence (AI), ‘________’ intelligence refers to applying AI only to specific tasks.

  • General
  • Narrow
  • Super

In a Decision Tree Algorithm, __________ measure is used to measure the uncertainity present in dat

  • Entropy
  • Information Gain
  • None of the mentioned

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