
AI-900 Certification Concepts Quiz

Quiz
•
Instructional Technology
•
9th Grade
•
Medium
T Branding
Used 3+ times
FREE Resource
30 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which AI model architecture revolutionized natural language processing by enabling parallel processing of words in a sequence, rather than sequential processing?
Recurrent Neural Network (RNN)
Convolutional Neural Network (CNN)
Transformer Model
Support Vector Machine (SVM)
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In machine learning, what is a 'vector' most commonly used to represent?
A single scalar value representing a prediction.
A collection of related data points, often features of an observation.
The learned relationship between input and output variables.
A type of algorithm used for unsupervised learning.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which type of machine learning problem aims to predict a categorical label for a given input?
Regression
Clustering
Classification
Dimensionality Reduction
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A machine learning model is designed to predict the price of a house based on its size, number of bedrooms, and location. What type of machine learning problem is this?
Classification
Clustering
Regression
Anomaly Detection
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes the goal of Linear Regression?
To classify data points into two distinct categories.
To find the best-fitting straight line that describes the relationship between a dependent variable and one or more independent variables.
To group similar data points together without prior labels.
To reduce the number of features in a dataset.
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which Azure AI service would you primarily use to convert spoken language into text?
Azure Bot Service
Azure QnA Maker
Azure AI Speech
Azure Language Service
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The Inclusiveness pillar of Responsible AI primarily focuses on which of the following?
Ensuring that AI systems do not reinforce or amplify societal biases.
Designing AI systems that can be understood and used by a wide range of people, including those with disabilities.
Protecting personal data and ensuring the security of AI systems.
Guaranteeing that AI systems operate reliably and safely.
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