- Create an account on the official Microsoft certification portal
- Sign in with a Microsoft account
- Select the Azure AI Engineer Associate exam
- Choose a preferred date and time
- Select online or test-center mode
- Complete registration and exam fee payment
- Verify system requirements for online exams
- Review exam policies and guidelines before the test
- Attend the exam as scheduled
- Receive results and certification upon passing
Frequently Asked Questions
It validates AI engineering skills on Azure cloud.
Focuses on AI model building, deployment, and integration.
Designed for professionals working on AI solutions.
AI engineers and data scientists on Azure.
Developers integrating AI into applications.
Cloud professionals seeking AI role validation.
Basic knowledge of procurement or supply chain is helpful.
Familiarity with ERP systems like SAP S/4HANA is a plus.
No mandatory prior experience is required for beginners.
Basic AI and machine learning knowledge.
Familiarity with Azure services and cloud fundamentals.
Hands-on experience with Python, R, or AI tools is helpful.
Exam duration is approximately 90 minutes.
Includes scenario-based and multiple-choice questions.
Time allows practical problem-solving and design evaluation.
Minimum passing score is typically 700 out of 1000.
Score reflects knowledge of Azure AI services and best practices.
Microsoft may update passing requirements periodically.
The exam is primarily in English.
Some regions may offer localized languages.
Check the Microsoft certification portal for availability.
Use hands-on labs and practical Azure exercises.
Study official Microsoft learning paths and documentation.
Practice scenario-based questions and mock tests.
Approximately 40–60 questions per exam.
Includes multiple-choice, case studies, and scenario questions.
Questions assess practical skills and AI solution knowledge.
Microsoft Certification Authority conducts it.
Exam is delivered via authorized online or test-center platforms.
Candidates register through the official Microsoft portal.
Validates advanced AI skills on Azure.
Boosts career opportunities in AI and cloud roles.
Recognized by global IT and enterprise employers.
Yes, candidates can reattempt the exam.
Each retake requires a full exam fee.
There may be a short waiting period before retaking.
Typically around USD 165 (may vary by region).
Local taxes may apply depending on country.
Payment is required during registration.
Online via proctored platform or at test centers.
Candidates must meet technical requirements for online exams.
Exam duration and rules are provided at registration.
Microsoft issues the certification digitally.
Candidates can download and share their certificate.
Certification is valid for role-based AI skills recognition.
Machine learning model creation and deployment.
Azure Cognitive Services for NLP, vision, and speech.
Conversational AI, monitoring, and responsible AI practices.
Basic Azure familiarity is recommended.
Hands-on exposure to cloud services helps.
No strict prerequisite, but prior experience improves readiness.
Certification remains valid as per Microsoft role-based policy.
Typically aligned with technology updates every 1–2 years.
Renewal may require passing the latest exam or update.
Yes, Microsoft Learn provides free learning paths.
Hands-on labs and sandbox environments are accessible.
Official documentation and tutorials help exam preparation.
Yes, validates practical AI solution skills on Azure.
Demonstrates ability to design, deploy, and monitor AI models.
Increases eligibility for enterprise AI projects and roles.
Multiple-choice questions assess knowledge.
Scenario-based questions test practical AI implementation.
Some labs may involve problem-solving tasks.
Sign in to the Microsoft Certification portal.
Choose the Azure AI Engineer Associate exam.
Select date, mode, and complete the payment process.
Yes, Microsoft allows online proctored exams.
Candidates must meet system and environment requirements.
Test-center mode is also available as an option.
Yes, Microsoft and third-party platforms offer mock tests.
Helps simulate exam environment and assess readiness.
Practicing scenarios improves confidence and accuracy.
Use real-world AI project examples.
Practice deploying models using Azure ML and Cognitive Services.
Understand integration and monitoring concepts thoroughly.
Yes, it complements certifications like Azure Data Engineer or DevOps.
Enhances overall cloud and AI expertise.
Useful for multi-role career progression in Azure.
Yes, responsible AI and ethical practices are covered.
Focuses on fairness, transparency, and compliance.
Ensures solutions meet organizational and legal standards.
Results are usually available immediately or within a few days.
Digital certificate issued upon passing.
Scores and feedback are provided via the Microsoft portal.
Yes, multiple retakes are allowed.
Each attempt requires full payment and registration.
Waiting periods may apply between attempts.
Validates AI and cloud skills for Azure roles.
Increases eligibility for senior AI engineer or architect positions.
Boosts recognition in enterprise and global AI projects.
