Update for acrolinx.

Author: Sherry Yang

learn-pr/wwl-data-ai/introduction-computer-vision/6-knowledge-check.yml

@@ -29,21 +29,21 @@ quiz:
     choices:
     - content: "To apply visual effects to enhance image appearance."
       isCorrect: false
-      explanation: ""
+      explanation: "Incorrect."
     - content: "To extract numeric features from images for use in a neural network."
       isCorrect: true
-      explanation: ""
+      explanation: "Correct."
     - content: "To compress image size for faster processing."
       isCorrect: false
-      explanation: ""
+      explanation: "Incorrect."
   - content: "What is the primary function of a multi-modal model in computer vision?"
     choices:
     - content: "To generate random captions for unlabeled images."
       isCorrect: false
-      explanation: ""
+      explanation: "Incorrect."
     - content: "To replace CNNs entirely in all vision tasks."
       isCorrect: false
-      explanation: ""
+      explanation: "Incorrect."
     - content: "To combine image features with natural language embeddings for richer understanding."
       isCorrect: true
-      explanation: ""    
+      explanation: "Correct."    

learn-pr/wwl-data-ai/introduction-computer-vision/includes/2-overview.md

@@ -76,4 +76,4 @@ Green: 255
 Blue: 0
 ```
 
-Next, let's expore how images are processed.
+Next, let's explore how images are processed.

learn-pr/wwl-data-ai/introduction-computer-vision/includes/7-summary.md

@@ -2,6 +2,3 @@ Computer vision is built on the analysis and manipulation of numeric pixel value
 
 While you *can* create your own machine learning models for computer vision, today's foundation models can use to analyze images, including generating a descriptive caption, extracting relevant tags, identifying objects, and others.
 
-## Learn more
-
-Apply these concepts in *Get started with computer vision on Azure*.

learn-pr/wwl-data-ai/introduction-computer-vision/index.yml

@@ -15,7 +15,7 @@ title: Introduction to computer vision concepts
 summary: Introduction to computer vision concepts
 abstract: Introduction to computer vision concepts
 prerequisites: Ability to navigate the Azure portal
-iconUrl: /training/achievements/generic-badge.svg
+iconUrl: /training/achievements/analyze-images-computer-vision.svg
 levels:
 - beginner
 roles: