Deploy LLMs in Foundry Quiz
5 questions Pass: 70% +25 pts (50 with Pro)
Quiz covering Build Generative Applications
What you'll be asked
- What is the primary purpose of the 'Foundry LLM Gateway' when deploying generative applications?
- When building a generative application in Foundry, why is it recommended to use 'Ontology-backed' tools rather than raw API calls?
- Which of the following best describes the 'Retrieval-Augmented Generation' (RAG) pattern as implemented in Foundry?
- If an agentic solution requires an LLM to update an object property in the Ontology, what must be configured first?
- You are debugging an agentic workflow where the LLM consistently fails to select the correct tool from a large library of available functions. What is the most effective approach to improve performance within the Foundry framework?
Answers and explanations come after you submit.
Course Content
- Introduction to Microsoft Foundry
- Introduction to Microsoft Foundry Quiz5q
- Choosing AI Models for Tasks
- Choosing AI Models for Tasks Quiz5q
- LLMs and Small Language Models
- LLMs and Small Language Models Quiz5q
- Multimodal Models Overview
- Multimodal Models Overview Quiz5q
- Foundry Tools and Services
- Foundry Tools and Services Quiz5q
- Retrieval and Indexing Methods
- Retrieval and Indexing Methods Quiz5q
- Deploy LLMs in Foundry
- Deploy LLMs in Foundry Quiz5q
- Implement RAG Patterns
- Implement RAG Patterns Quiz5q
- Tool-Augmented Workflows
- Tool-Augmented Workflows Quiz5q
- Multistep Reasoning Pipelines
- Multistep Reasoning Pipelines Quiz5q
- Evaluate Models and Apps
- Evaluate Models and Apps Quiz5q
- Foundry SDKs and Connectors
- Foundry SDKs and Connectors Quiz5q
- Define Agent Roles and Goals
- Define Agent Roles and Goals Quiz5q
- Agents with Retrieval and Function Calling
- Agents with Retrieval and Function Calling Quiz5q
- Integrate Agent Tools
- Integrate Agent Tools Quiz5q
- Multi-Agent Orchestration
- Multi-Agent Orchestration Quiz5q
- Autonomous Workflows with Safeguards
- Autonomous Workflows with Safeguards Quiz5q
- Agent Monitoring and Evaluation
- Agent Monitoring and Evaluation Quiz5q
- Prompt Engineering Techniques
- Prompt Engineering Techniques Quiz5q
- Model Parameters Tuning
- Model Parameters Tuning Quiz5q
- Chain of Thought and Self-Critique
- Chain of Thought and Self-Critique Quiz5q
- Tracing and Observability
- Tracing and Observability Quiz5q
- Hybrid LLM and Rules Engines
- Hybrid LLM and Rules Engines Quiz5q
- Azure Content Understanding
- Azure Content Understanding Quiz5q
- OCR and Layout Analysis
- OCR and Layout Analysis Quiz5q
- Field Extraction
- Field Extraction Quiz5q
- Structured and Markdown Outputs
- Structured and Markdown Outputs Quiz5q
- Extract from Images
- Extract from Images Quiz5q
- Extract from Audio and Video
- Extract from Audio and Video Quiz5q
- Content Understanding Analyzers
- Content Understanding Analyzers Quiz5q
- Form Processing Automation
- Form Processing Automation Quiz5q
- Invoice and Receipt Processing
- Invoice and Receipt Processing Quiz5q
- ID Document Processing
- ID Document Processing Quiz5q
- Custom Model Training
- Custom Model Training Quiz5q
- Batch Processing Documents
- Batch Processing Documents Quiz5q
- Error Handling in Extraction
- Error Handling in Extraction Quiz5q
Godlike Exams
No AI-103 practice exam yet
Your points already work on 21 Amazon and Microsoft exams.
See the exams