You will receive an official exam voucher code for Microsoft AI-300 (Operationalizing Machine Learning and Generative AI Solutions – MLOps Engineer). Use the code to book your exam date in the vendor scheduling portal (Microsoft/Pearson VUE). This page is for Cambodia buyers.
What this exam voucher includes
- 1 official Microsoft AI-300 exam voucher code (exam credit)
- Voucher redemption instructions for the scheduling portal
- Chat support for booking (code confirmation and scheduling steps)
- Cambodia-specific ordering guidance via WhatsApp or Telegram
- Proof of purchase / order reference support for your records
Exam voucher price and what affects it
Your selling price is $39 USD (regular price $165 USD). The price difference comes from reseller discounting and voucher inventory sourcing—not from altering the exam itself. Final availability, applicable tax rules, and any time-limited promotions can affect total cost. The voucher remains an official exam credit from the vendor and is redeemed through the Microsoft/Pearson VUE scheduling process.
| Item | What you get | Notes |
|---|---|---|
| Microsoft AI-300 exam credit | Voucher code for scheduling | Redeemed in Microsoft/Pearson VUE portal |
| Cambodia delivery | Code sent via WhatsApp/Telegram | After payment is confirmed |
| Official exam | Full live proctored/assessment experience | No practice or “test mode” |
Validity, expiry and rescheduling
Exam vouchers are valid only for the period set by the vendor. The voucher expiry date is controlled by Microsoft/Pearson VUE rules, and your booking must be completed within that validity window. If you need to change your appointment, rescheduling is permitted only under the scheduling and cutoff policies set by the vendor for your exam session.
How delivery and redemption work
- Choose your voucher order for Cambodia and send the order reference in WhatsApp or Telegram.
- We confirm the price in chat.
- After payment is confirmed, we send the official AI-300 voucher code to you.
- Redeem the code in the Microsoft/Pearson VUE scheduling portal to select an exam date.
- Your exam confirmation and time details are provided by the vendor scheduling system.
Exam format at a glance
Microsoft AI-300 measures operational MLOps and generative AI solution skills. Exact counts can vary by delivery and update cycle, so confirm in the vendor scheduling page.
- Exam code: AI-300
- Format: Computer-based exam delivered via the vendor’s testing platform (check vendor page for proctoring details)
- Question types: Typically a mix of scenario-based multiple choice and case/task questions (check vendor page)
- Duration: check the vendor page
- Passing score: check the vendor page (Microsoft exams commonly use a scaled score model)
- Language options: check the vendor page
Domains (weighted): The vendor defines the assessed skills by domain. Percentages may change with exam updates, so use the current vendor blueprint for exact weights.
- Domain 1: MLOps and solution operationalization concepts — check vendor page for %
- Domain 2: Build and deploy ML and generative AI pipelines — check vendor page for %
- Domain 3: Model governance, monitoring, evaluation, and lifecycle management — check vendor page for %
- Domain 4: Reliability, security, and performance for production ML/GenAI — check vendor page for %
Prerequisites: Review the exam skills and recommended experience in the vendor exam page (often focused on operational ML/GenAI, data pipelines, deployment patterns, monitoring, and governance).
Recertification cycle: Microsoft certification policies vary by credential and may change over time; confirm the latest policy in your certification dashboard and the vendor site.
Realistic study time: Many candidates need roughly 4–8 weeks of focused preparation (part-time study) depending on prior Azure and MLOps experience.
| Exam code | Questions | Duration | Passing score | Languages | Delivery options |
|---|---|---|---|---|---|
| AI-300 | check the vendor page | check the vendor page | check the vendor page | check the vendor page | online/proctored options vary; check vendor page |
Career value and job roles
Microsoft AI-300 is designed for MLOps Engineer roles working on production machine learning and generative AI systems. It is also relevant for Data Scientists transitioning to MLOps, ML Engineers, and Cloud/AI Engineers who need to operationalize training-to-deployment pipelines.
Common outcomes include stronger credibility for:
- Designing repeatable ML/GenAI release pipelines
- Implementing model monitoring, evaluation, and governance
- Scaling production workflows with reliability and security in mind
Prepare before you book
Practice is the fastest way to reduce booking-day surprises. Start with our free practice hub: free mock exams. If you pass a mock exam, you unlock extra voucher discounts, which can lower your total cost before you commit to scheduling.
Common mistakes to avoid
- Booking without confirming voucher validity: always redeem and schedule inside the vendor’s validity window.
- Studying only model training: AI-300 focuses on operationalizing ML and GenAI solutions (not just training).
- Ignoring governance and monitoring: production readiness includes evaluation, drift/health checks, and lifecycle controls.
- Assuming exact domain weights: blueprint updates happen—use the current vendor blueprint.
- Not planning around rescheduling rules: vendor policies can limit changes and refunds, so pick a realistic exam date.