Updates

Author: GraemeMalcolm

learn-pr/wwl-data-ai/explore-models-azure-ai-studio/6-knowledge-check.yml

@@ -14,6 +14,17 @@ durationInMinutes: 3
 content: |
 quiz:
   questions:
+  - content: "Where can you test a deployed model in the Azure AI Foundry portal?"
+    choices:
+    - content: "Chat playground"
+      isCorrect: true
+      explanation: "Correct. The chat playground is designed for interactive testing and experimentation with deployed models, allowing you to explore how the model responds in real-time."
+    - content: "Sandbox"
+      isCorrect: false
+      explanation: "Incorrect. A sandbox is typically a safe environment for testing code changes, but it isn't designed for testing deployed language models."
+    - content: "Development toolbox"
+      isCorrect: false
+      explanation: "Incorrect. The development toolbox can contain various tools for development purposes, but it isn't the place where you would test a deployed model."
   - content: "You want to specify the tone, format, and content for each interaction with your model in the playground. What should you use to customize the model response?"
     choices:
     - content: "Benchmarks"
@@ -25,26 +36,15 @@ quiz:
     - content: "System message"
       isCorrect: true
       explanation: "Correct. System messages are used to customize the model's responses by specifying the tone, format, and content for each interaction."
-  - content: "What pattern can you use to ground prompts?"
+  - content: "What deployment options for an OpenAI model incur no cost for deployment and charge for inferencing based on token-based billing?"
     choices:
-    - content: "Metadata Optimized Prompt (MOP)"
+    - content: "Only Azure OpenAI Service"
       isCorrect: false
-      explanation: "Incorrect. MOP isn't a recognized pattern for grounding prompts."
-    - content: "Retrieval Augmented Generation (RAG)"
-      isCorrect: true
-      explanation: "Correct. RAG involves using a retrieval-based approach to provide relevant information to the model, which can help ground the prompts in specific knowledge or data."
-    - content: "Data Understanding Support Text (DUST)"
+      explanation: "Incorrect. Azure OpenAI Service is not the only option for the required deployment criteria."
+    - content: "Only managed compute"
       isCorrect: false
-      explanation: "Incorrect. DUST isn't a recognized pattern for grounding prompts."
-  - content: "Where can you test a deployed model in the Azure AI Foundry portal?"
-    choices:
-    - content: "Chat playground"
+      explanation: "Incorrect. Managed compute is charged per-minute."
+    - content: "Either Azure OpenAI Service or Azure AI Model Inferencing Service"
       isCorrect: true
-      explanation: "Correct. The chat playground is designed for interactive testing and experimentation with deployed models, allowing you to explore how the model responds in real-time."
-    - content: "Sandbox"
-      isCorrect: false
-      explanation: "Incorrect. A sandbox is typically a safe environment for testing code changes, but it isn't designed for testing deployed language models."
-    - content: "Development toolbox"
-      isCorrect: false
-      explanation: "Incorrect. The development toolbox can contain various tools for development purposes, but it isn't the place where you would test a deployed model."
+      explanation: "Correct. You can deploy OpenAI mdoels to either Azure OpenAI Service or Azure AI Model Inferencing Service."