Microsoft AI-300 is the exam for Operationalizing Machine Learning and Generative AI Solutions. This voucher provides official vendor exam credit that you redeem to schedule your AI-300 test through the Microsoft/Pearson VUE exam booking flow.
What this exam voucher includes
- One official Microsoft AI-300 exam voucher (exam credit/code) for Denmark
- Redemption instructions for the Microsoft/Pearson VUE scheduling portal
- Support for the voucher redemption process after delivery (order reference + code)
- Proof of order details shared in chat after payment confirmation
- Voucher handling performed by an independent reseller (ITExamDeals), using genuine vendor exam credits
Exam voucher price and what affects it
This AI-300 voucher is discounted by ITExamDeals.
- Regular price: $165 USD
- ITExamDeals selling price: $38 USD
Voucher pricing can vary due to vendor promotions, region availability (here: Denmark), currency handling, and whether any scheduling or voucher handling conditions apply for your territory. The only guaranteed price is the confirmed selling price in your chat order.
| Item | Value |
|---|---|
| Exam voucher | Microsoft AI-300 (Denmark) |
| Currency | USD |
| Regular price (context) | $165 |
| Selling price (context) | $38 |
Validity, expiry and rescheduling
Your voucher has an official validity/expiry window controlled by the vendor. Once issued, you must redeem and schedule within that vendor-set period. Rescheduling is also governed by the booking rules in the scheduling portal, including any rescheduling windows and cutoff times.
If you miss a scheduled exam time, the vendor no-show rules may apply and can affect your ability to reschedule. Always check the booking confirmation details in your Pearson VUE/Microsoft account before committing to a date.
How delivery and redemption work
- You place an order through ITExamDeals for the Denmark voucher.
- After payment is confirmed, we deliver the voucher code to you over WhatsApp or Telegram.
- You redeem the code in the Microsoft/Pearson VUE exam scheduling portal to generate your exam booking.
- You select an available date/time in Denmark and confirm the appointment.
- If you need to reschedule, you do so in the same vendor scheduling portal according to their policy.
If you run into issues redeeming, provide your order reference and the error message you see in the portal so we can guide you through the next steps.
Exam format at a glance
Microsoft AI-300 assesses your ability to operationalize machine learning and generative AI solutions. The exam is typically delivered through the Pearson VUE testing platform under the Microsoft certification program.
- Question types: multiple choice and scenario-based questions (varies by test form; check vendor page)
- Duration: check vendor page for the current time limit
- Passing score: check vendor page for the current passing standard
- Languages: typically available in multiple test languages; check vendor page for Denmark availability
- Weighted domains: percentages below may change; verify exact weights on the vendor exam page
| 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 | Pearson VUE (check vendor page) |
Domains (operationalizing ML + GenAI)
Use the following domain names as your study targets:
- Operationalize machine learning workloads (check vendor page for exact %)
- Operationalize generative AI solutions (check vendor page for exact %)
- Implement AI governance, safety, and reliability in production (check vendor page for exact %)
- Monitor, evaluate, and optimize AI solutions in production (check vendor page for exact %)
Prerequisites and recommended skills
No universal “prerequisite certificate” is required for everyone, but you should be comfortable with:
- Building and deploying ML/GenAI solutions using Azure AI services
- Understanding Azure compute, identity basics, and production operational practices
Career value and job roles
An AI-300 credential supports roles focused on moving AI from prototype to reliable production:
- Azure AI Engineer (mid-level to senior): operationalizing ML pipelines, deploying GenAI apps, and managing evaluation/monitoring
- Machine Learning Engineer (mid-level): productionizing training/inference workflows, establishing guardrails and governance
- Applied AI Architect (senior): designing end-to-end operational architectures, reliability, and responsible AI processes
This exam is also relevant if you are preparing for higher-impact work in Responsible AI, MLOps, and GenAI application lifecycle management.
Prepare before you book
Use practice testing to calibrate your readiness and reduce scheduling stress. Start with our free practice hub: free mock exams.
After you take a passing mock exam, you can unlock extra voucher discounts offered through the ITExamDeals practice program. This helps you decide on booking timing and study priorities before you commit.
Practical study approach:
- Map each domain to concrete Azure services and operational tasks
- Practice scenario questions: reliability, monitoring, evaluation, and safety decisions
- Review common failure modes in production deployments (latency, cost drift, and quality regression)
Common mistakes to avoid
- Waiting too long to redeem: vendor expiry windows can be tight—plan your booking early.
- Studying only models, not operations: AI-300 emphasizes production operationalization.
- Ignoring governance and safety: many scenario questions involve responsible AI design and monitoring.
- Overlooking rescheduling rules: confirm your appointment and review cutoff/rescheduling policies.
- Skipping mock exams: practice tests reveal weak areas so you can focus efficiently.