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Скачать или смотреть Test Your Understanding of Prompt Flow in Azure AI - AI-102

  • AI-ML-Cloud Exam Prep by Birdsy
  • 2025-10-06
  • 13
Test Your Understanding of Prompt Flow in Azure AI - AI-102
AI-102 practice testAzure AI Engineer exam prepPrompt Flow Azure AI Studioorchestrating prompts Azureprompt chainingevaluation and testing promptsAzure AI Studio tutorialAzure OpenAI integrationprompt optimizationBirdsy AI practiceAI-102 certification questionsLLM orchestration Azuremodel evaluation AzureAI Studio prompt flow examai-102azure ai engineer associateazure ai certificationazureazure ai studio
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Описание к видео Test Your Understanding of Prompt Flow in Azure AI - AI-102

Put your Azure AI Studio and Prompt Flow knowledge to the test with this 40-question practice session designed for the AI-102: Microsoft Certified Azure AI Engineer Associate exam.

This video helps you strengthen recall on prompt orchestration, testing, and evaluation workflows inside Azure AI Studio—so you can confidently handle prompt engineering, flow design, and model assessment questions that appear on the real exam.

🐦 👇 TRY BIRDSY FREE – BUILT FOR AI & CLOUD EXAM SUCCESS
🌐 https://birdsy.ai

Birdsy is your personal, AI-assisted study partner—ready to quiz you, explain difficult topics, and adapt to your learning style. Make Birdsy part of your AI-102 prep plan and experience interactive, AI-powered practice: https://birdsy.ai

⏱️ TIMESTAMPS
0:06 - Introduction: Prompt Flow & Evaluations in Azure AI Studio
0:11 - What is Prompt Flow and why it matters
2:32 - Components of a Prompt Flow – inputs, outputs, connections
4:24 - Authoring and managing complex prompt pipelines
6:08 - Connecting models and APIs within Prompt Flow
8:16 - Managing variables and data sources
10:23 - Best practices for prompt chaining and orchestration
12:09 - Testing prompts: simulation and validation in Azure AI Studio
14:32 - Automated evaluations and quality scoring
16:15 - Human feedback loops and iterative improvement
18:07 - Integrating Prompt Flow with Azure OpenAI models
20:21 - Using Prompt Flow for real-time LLM orchestration
22:36 - Evaluating prompt performance – metrics, accuracy, relevance
24:49 - Error handling and debugging in Prompt Flow
26:34 - Prompt versioning and experiment tracking
28:22 - Connecting to external data with semantic search and grounding
30:10 - Comparing multiple prompts using evaluation sets
32:25 - Using feedback results to optimize prompt flows
34:38 - Scenario questions – which flow setup fits best
37:05 - Key takeaways and final exam review questions

📘 TOPICS REVIEWED
✅ Prompt Flow fundamentals – components, connections, and orchestration
✅ Prompt chaining and management – multi-step prompt workflows
✅ Evaluation workflows – testing, scoring, and human review
✅ Debugging & version control – handling errors and tracking iterations
✅ Integrating models in Azure AI Studio – connecting Azure OpenAI and external APIs
✅ Prompt Flow optimization – comparing prompts and refining performance
✅ Scenario-based exam practice – applying orchestration principles under test conditions

🔗 HELPFUL LINKS
🌐 Birdsy Study Partner: https://birdsy.ai
🌐 Azure AI Studio – Prompt Flow Overview: https://learn.microsoft.com/azure/ai-...
🌐 AI-102: Azure AI Engineer Associate Certification: https://learn.microsoft.com/certifica...
🌐 Azure OpenAI Service: https://learn.microsoft.com/azure/ai-...

🔔 LIKE & SUBSCRIBE
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👍 Like this video if it helped strengthen your AI-102 knowledge
💬 Drop your toughest question in the comments—we’re here to help!

ABOUT BIRDSY:
Birdsy is your personal, AI-assisted study partner. Instead of lectures, Birdsy helps you learn through testing—with adaptive, exam-style questions that improve recall and real-world readiness. Whether you’re studying for Azure, AWS, or Google AI certifications, Birdsy turns exam prep into active learning.

Try Birdsy free today: https://birdsy.ai

⚠️ This video is for educational use only. Certification requirements and exam content may vary. Verify all details with Microsoft Learn or your official exam provider. Birdsy cannot guarantee outcomes and assumes no liability for exam performance.

#AzureAIEngineer #PromptFlow #AI102

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