From e965c7bd992856573cd0cf413c442524e69f12d9 Mon Sep 17 00:00:00 2001 From: cynotebo Date: Wed, 30 Oct 2019 09:35:28 -0700 Subject: [PATCH] Update Module 2.md --- workshops/Module 2.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/workshops/Module 2.md b/workshops/Module 2.md index bfd3b47c..3c28b99c 100644 --- a/workshops/Module 2.md +++ b/workshops/Module 2.md @@ -3,7 +3,7 @@ Now that you've built your Search index, we'll take a moment to build and deploy To get started with this exercise, we will be using and getting familiar with the [Knowledge Mining solution accelerator](https://github.com/Azure-Samples/azure-search-knowledge-mining) to create our front-end experience. This accelerator was published to provide developers with all of the steps and tools required to build a working minimally viable knowledge mining solution. Take a few moments to note that it contains modules to: deploy the required Azure resources; build custom skills; and present the results in a simple, but elegant front-end. At the end of this lab, your results will look similar to this: -![](images/results.png) +![](images/intresults.png) ## 1. Clone the repository ``` @@ -53,7 +53,7 @@ While this tutorial is optimizing for efficiency of allowing you to see results, ## 4. Run the project and see the results -![](images/results.png) +![](images/intresults.png) ## 5. Inspect the code