Azure AI Fundamentals Quiz

Skills Measured:

Describe Artificial Intelligence workloads and considerations (15-20%)

Identify features of common AI workloads

Identify prediction/forecasting workloads

Identify features of anomaly detection workloads

Identify computer vision workloads

Identify natural language processing or knowledge mining workloads

Identify conversational AI workloads

Identify guiding principles for responsible AI

Describe considerations for fairness in an AI solution

Describe considerations for reliability and safety in an AI solution

Describe considerations for privacy and security in an AI solution

Describe considerations for inclusiveness in an AI solution

Describe considerations for transparency in an AI solution

Describe considerations for accountability in an AI solution

Describe fundamental principles of machine learning on Azure (30-

35%)

Identify common machine learning types

Identify regression machine learning scenarios

Identify classification machine learning scenarios

Identify clustering machine learning scenarios

Describe core machine learning concepts

Identify features and labels in a dataset for machine learning

Describe how training and validation datasets are used in machine learning

Describe how machine learning algorithms are used for model training

Select and interpret model evaluation metrics for classification and regression

Identify core tasks in creating a machine learning solution

Describe common features of data ingestion and preparation

Describe feature engineering and selection

Describe common features of model training and evaluation

Describe common features of model deployment and management

Describe capabilities of no-code machine learning with Azure Machine Learning studio

Automated ML UI

Azure Machine Learning designer

Describe features of computer vision workloads on Azure (15-20%)

Identify common types of computer vision solution:

Identify features of image classification solutions

Identify features of object detection solutions

Identify features of optical character recognition solutions

Identify features of facial detection, facial recognition, and facial analysis solutions

Identify Azure tools and services for computer vision tasks

Identify capabilities of the Computer Vision service

Identify capabilities of the Custom Vision service

Identify capabilities of the Face service

Identify capabilities of the Form Recognizer service

Describe features of Natural Language Processing (NLP) workloads on

Azure (15-20%)

Identify features of common NLP Workload Scenarios

Identify features and uses for key phrase extraction

Identify features and uses for entity recognition

Identify features and uses for sentiment analysis

Identify features and uses for language modeling

Identify features and uses for speech recognition and synthesis

Identify features and uses for translation

Identify Azure tools and services for NLP workloads

Identify capabilities of the Text Analytics service

Identify capabilities of the Language Understanding service (LUIS)

Identify capabilities of the Speech service

Identify capabilities of the Translator Text service

Describe features of conversational AI workloads on Azure (15-20%)

Identify common use cases for conversational AI

Identify features and uses for webchat bots

Identify common characteristics of conversational AI solutions

Identify Azure services for conversational AI

Identify capabilities of the QnA Maker service

Identify capabilities of the Azure Bot service,

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