You’re buying an official exam voucher for Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions). Redeem the voucher code in the official scheduling portal to book your Microsoft Certified: Azure AI Engineer Associate exam with Pearson VUE.
What this exam voucher includes
- A genuine vendor exam credit (voucher) for Microsoft AI-300
- A unique voucher/exam code you redeem to schedule your test
- Redemption instructions for the Microsoft/Pearson VUE booking flow
- Chat support via WhatsApp or Telegram for country and booking guidance
- Clear steps to confirm your order reference and voucher details
Exam voucher price and what affects it
ITExamDeals lists this Microsoft AI-300 voucher as discounted from the regular price of $165 to a selling price of $38 (USD). Real-world costs can vary based on vendor pricing, region eligibility, demand, and availability of voucher inventory.
| Voucher detail | Value |
|---|---|
| Regular price | $165 |
| Selling price | $38 |
| Currency | USD |
| Region in this offer | Cambodia |
Validity, expiry and rescheduling
Voucher validity and expiry are controlled by the vendor. You should expect a defined redemption window and a separate exam scheduling window. Rescheduling is also governed by Microsoft/Pearson VUE rules for your booked appointment, including allowed change windows and any fee policies.
If you’re close to expiry or planning to retake, redeem and book as soon as possible after you receive the code.
How delivery and redemption work
After payment is confirmed, ITExamDeals delivers the voucher code and booking guidance over WhatsApp or Telegram. You then redeem the code in the Microsoft/Pearson VUE scheduling portal to create your exam appointment.
To avoid booking issues, confirm:
- Your candidate details (name and account) match your Pearson VUE profile
- You select the correct exam code (AI-300)
- Your appointment time is within the vendor’s redemption/scheduling allowances
Exam format at a glance
Microsoft AI-300 is a proctored, certification exam covering operationalizing machine learning and generative AI solutions.
| Item | Details |
|---|---|
| Exam code | AI-300 |
| Exam name | Operationalizing Machine Learning and Generative AI Solutions |
| Question count | check the vendor page |
| Duration | check the vendor page |
| Passing score | check the vendor page |
| Languages | check the vendor page |
| Delivery | Pearson VUE online proctoring or test center (check the vendor page) |
Question types commonly include multiple-choice and scenario-based items that test how you design, deploy, monitor, and govern AI workloads. For the latest format specifics, confirm the exact figures on the vendor’s exam page.
Career value and job roles
This Microsoft AI-300 voucher supports the Microsoft Certified: Azure AI Engineer Associate path. It helps you validate practical skills for roles such as:
- Azure AI Engineer (mid-level to senior)
- AI/ML Engineer working with production workloads on Azure
- ML Platform/Operations-focused engineers (MLOps)
- Solutions engineers deploying generative AI and responsible AI capabilities
You’re typically expected to understand core machine learning concepts and Azure services, including building and operationalizing models, setting up deployments, and applying monitoring and governance patterns.
Prepare before you book
Use a structured plan before you redeem your voucher. Start with free practice to measure readiness.
- Practice hub: free mock exams
- Take a few timed mocks to identify weak domains early.
- Passing a mock exam unlocks extra voucher discounts.
Treat your voucher as a booking deadline: your goal is to be exam-ready before you commit to a date.
Common mistakes to avoid
- Waiting too long after the code arrives and then running into vendor expiry/rescheduling limits.
- Studying only model building while under-preparing for operational topics (monitoring, deployment patterns, and governance).
- Ignoring question wording—scenario questions often test operational trade-offs rather than theory.
- Not aligning your lab experience with Azure services used in the exam domains.
- Leaving gaps in responsible AI and evaluation practices that frequently appear in scenario-based questions.