Match each Azure AI service to its pricing model.
Drag a concept onto its matching description — or click a concept then click the description.
Pay per transaction or per API call
Pay per message or channel
Pay per training hour and prediction
Pay per token (input and output)
Pay per storage and queries
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Azure Cognitive Services: Pay-as-you-go per transaction
Azure AI services generally use pay-as-you-go or consumption-based pricing. Cognitive Services charge per transaction, Azure Machine Learning charges for compute and workspace, Bot Service charges per message, and Cognitive Search charges per index and queries. Be careful not to confuse these models.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Cognitive Services: Pay-as-you-go per transaction
Why this is correct
Correct. Azure Cognitive Services like Text Analytics charge per API call.
Azure Machine Learning: Pay-as-you-go for compute and workspace
Why this is correct
Correct. Azure ML pricing is based on compute hours and workspace usage.
Azure Bot Service: Consumption-based pricing per message
Why this is correct
Correct. Azure Bot Service charges based on number of messages.
Azure Cognitive Search: Pay-as-you-go per index and queries
Why this is correct
Correct. Cognitive Search pricing depends on index size and query volume.
Azure Cognitive Services: Flat monthly fee
Why it's wrong here
Incorrect. Cognitive Services use pay-per-transaction, not a flat fee.
Azure Machine Learning: Consumption-based per message
Why it's wrong here
Incorrect. Per-message pricing applies to Bot Service, not Azure ML.
Go deeper
Learn chapter
Machine Learning Core Concepts
Key term
Service
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
Key term
Model
In IT and AI, a model is a trained mathematical representation that learns patterns from data to make predictions or decisions.
About these practice questions
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-900 exam.