AI-103

AI-103

Azure AI Apps and Agents Developer Associate — flashcards, study guide, and practice exam.

Completion0%0 of 250 cards studied
Know00% of Study Deck
Unsure00% of Study Deck
Missed00% of Study Deck

Recommended Study Strategy

Round 1

Full Assessment

Go through all 250 Study Deck cards in order and grade each one Know, Unsure, or Missed. This sets your baseline.

Remaining: 250 cards

Start Round 1
Round 2

Review Deck

Study only the cards you graded Unsure or Missed. A card you grade Know leaves the Review Deck the next time you start a session.

Active pool: 0 cards

Open Review Deck
Round 3

Mastery Shuffle

Shuffle the full Study Deck and grade from memory to test what you really know.

Pass mark: 225 of 250 cards (90%)

Start Round 3

Study by Exam Domain

Plan and manage an Azure AI solution70 cards · 25–30% of examImplement generative AI and agentic solutions84 cards · 30–35% of examImplement computer vision solutions32 cards · 10–15% of examImplement text analysis solutions32 cards · 10–15% of examImplement information extraction solutions32 cards · 10–15% of exam

Exam Day Checklist

  • You have 120 minutes, and you need 700 on a scale of 1 to 1,000 to pass.
  • Read the final sentence of a long scenario first to find the actual question.
  • Watch for qualifiers such as NOT, BEST, and MOST appropriate.
  • Answer every question. Wrong answers cost no points, so a guess beats a blank.
  • Flag hard questions and come back to them. Change an answer only with a clear reason.
  • Review flagged questions before you take a break. The clock keeps running, and you can't return to earlier questions afterward.

Official Microsoft Links

Exam AI-103 study guide (skills measured as of April 16, 2026)Microsoft Certified: Azure AI Apps and Agents Developer Associate (links to the practice assessment)Exam sandbox (try the exam interface)Exam AI-103 prep videoCourse AI-103T00: Develop AI apps and agents on AzureLearning path: Develop generative AI apps in AzureLearning path: Develop AI agents on AzureLearning path: Develop natural language solutions in AzureLearning path: Extract insights from visual data on Azure