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