Foundations Associate (1Z0-1122-23)
Test || Questions & Answers (Rated A+)
What is artificial intelligence? - ANSWER - the simulation of intelligent behaviours by computers
Main characteristics of AI - ANSWER - Collection of data and the rules for using that data
Ability to reason
Ability to learn and adapt
Expert system - ANSWER - A computer program that simulates a human expert
Expert systems are made up of: - ANSWER - A knowledge base
A rule base
An inference engine An interface
Why does an expert system need a knowledge base? - ANSWER - It needs facts to generate the rules to make the decisions. he data it contains is essential to the decision making process
Which is NOT an example of vision or image-related AI task?
- Identify objects in images
- Classify images
- Facial recognition
- Image Compression - ANSWER - Image Compression
Which task is a Generative AI task?
- Writing a poem based on a given theme
- Detecting credit card fraud
- Identifying the main topic of a news article
- Calculating the total word count in an article - ANSWER - Writing a poem based on a given theme
Which application does NOT require a Machine Learning solution?
- Detecting spam emails
- Stock Price Predictions
- Customer Segmentation
- Password Validation - ANSWER - Password Validation
Which type of Machine Learning algorithm learns from outcomes to make decisions? - Natural Language Processing
- Unsupervised Learning
- Supervised Learning
- Reinforcement Learning - ANSWER - Reinforcement Learning
What is a key characteristic of logistic regression?
- Logistic regression fits an U-shaped curve to the data.
- Logistic regression fits an S-shaped curve to the data.
- Logistic regression fits a straight line to the data.
- Logistic regression doesn't require labeled data. - ANSWER - Logistic regression fits an S-shaped curve to the data
Which type of Machine Learning algorithms extract trends from data?
- Reinforcement Learning
- Natural Language Processing
- Unsupervised Machine Learning
- Supervised Machine Learning - ANSWER - Unsupervised Machine Learning
Which machine learning approach would have an autonomous driving agent trained to make driving decisions by receiving rewards or penalties based on its actions?
- Unsupervised Learning
- Natural Language Processing
- Supervised Learning
- Reinforcement Learning - ANSWER - Reinforcement Learning
Which task is an example of a speech-related AI task?
- Music composition
- Random number generation
- Speech-to-text conversion
- Language translation - ANSWER - Speech-to-text conversion
What type of Machine Learning algorithm is used when we want to predict the resale price on a residential property?
- Regression
- Binary Classification
- Anomaly Detection
- Multiclass Classification - ANSWER - Regression
Which type of learning is used in identifying fraudulent bank transactions?
- Market segmentation
- Outlier analysis
- Reinforcement Learning
- Recommendation systems - ANSWER - Outlier analysis
Which essential component of Artificial Neural Network performs weighted summation and applies activation function on input data to produce an output?