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Microsoft Azure AI Fundamentals (AI-901) Flashcards

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Exam logistics

Which exam earns Microsoft Certified: Azure AI Fundamentals since AI-900 retired?

AI-901 (AI-900 retired 2026-06-30)

What are the two AI-901 domains and their weights?

Identify AI concepts and capabilities (40-45%); Implement AI solutions by using Microsoft Foundry (55-60%)

What is the AI-901 passing score?

700

Do Fundamentals certifications expire?

No - Microsoft states Fundamentals certifications do not expire

Responsible ai

Name Microsoft's six responsible AI principles

Fairness; reliability and safety; privacy and security; inclusiveness; transparency; accountability

A model approves one group less often than comparable people in another group. Which principle?

Fairness

Telling users they are talking to an AI supports which principle?

Transparency

A named owner and review board for AI systems supports which principle?

Accountability

Designing a voice app to work for people with speech impairments supports which principle?

Inclusiveness

Models

Which parameter do you lower for more consistent answers?

Temperature

What does max tokens control?

The maximum length of the model's response

Which deployment type keeps processing within a geography such as the EU?

Data Zone

Foundry

What was Microsoft Foundry called before?

Azure AI Studio then Azure AI Foundry

What are Foundry Tools?

The prebuilt AI capabilities formerly called Azure AI Services (Speech; Language; Vision; Content Understanding)

In Foundry SDK code what value goes in the model parameter?

The deployment name

Which Python package is the Foundry SDK client in the quickstart?

azure-ai-projects (AIProjectClient)

Agents

What three things define a Foundry prompt agent?

A model; instructions; tools

What keeps multi-turn context for a Foundry agent client?

A conversation (openai.conversations.create)

Speech

What markup controls pronunciation and pauses in text to speech?

SSML (Speech Synthesis Markup Language)

Text

Which text analysis technique links sentiment to specific aspects?

Opinion mining

Vision

Object detection vs image classification?

Detection finds and locates each object (bounding boxes); classification labels the whole image

Extraction

Which Foundry Tool extracts schema-defined fields from documents; images; audio and video?

Azure Content Understanding

What do confidence scores and grounding give you in Content Understanding?

How sure each value is and where in the source it came from - enabling human review of low-confidence values