From 9e2954c9aba392f41add6da9726e093bdb603797 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 16 Nov 2023 10:15:41 +0000
Subject: [PATCH 1/2] Update redshift-qs.md

---
 website/docs/guides/redshift-qs.md | 5 ++---
 1 file changed, 2 insertions(+), 3 deletions(-)

diff --git a/website/docs/guides/redshift-qs.md b/website/docs/guides/redshift-qs.md
index 9296e6c6568..890be27e50a 100644
--- a/website/docs/guides/redshift-qs.md
+++ b/website/docs/guides/redshift-qs.md
@@ -57,7 +57,7 @@ You can check out [dbt Fundamentals](https://courses.getdbt.com/courses/fundamen
 
 <Lightbox src="/img/redshift_tutorial/images/cluster_overview.png" title="Available Redshift Cluster" />
 
-7. You might be asked to Configure account. For the purpose of this sandbox environment, we recommend selecting “Configure account”.
+7. You might be asked to Configure account. For this sandbox environment, we recommend selecting “Configure account”.
 
 8. Select your cluster from the list. In the **Connect to** popup, fill out the credentials from the output of the stack:
     - **Authentication** &mdash; Use the default which is **Database user name and password** (NOTE: IAM authentication is not supported in dbt Cloud).
@@ -82,8 +82,7 @@ Now we are going to load our sample data into the S3 bucket that our Cloudformat
 
 2. Now we are going to use the S3 bucket that you created with CloudFormation and upload the files. Go to the search bar at the top and type in `S3` and click on S3. There will be sample data in the bucket already, feel free to ignore it or use it for other modeling exploration. The bucket will be prefixed with `dbt-data-lake`.
 
-<Lightbox src="/img/redshift_tutorial/images/go_to_s3.png" title="Go to S3" />
-
+<Lightbox src="/img/redshift_tutorial/images/go_to_S3.png" title="Go to S3" />
 
 3. Click on the `name of the bucket` S3 bucket.  If you have multiple S3 buckets, this will be the bucket that was listed under “Workshopbucket” on the Outputs page. 
 

From 9f19ef83e196bfa264e703a7b51d4ee30b2ff9f7 Mon Sep 17 00:00:00 2001
From: mirnawong1 <89008547+mirnawong1@users.noreply.github.com>
Date: Thu, 16 Nov 2023 10:21:25 +0000
Subject: [PATCH 2/2] Update redshift-setup.md

---
 website/docs/docs/core/connect-data-platform/redshift-setup.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/website/docs/docs/core/connect-data-platform/redshift-setup.md b/website/docs/docs/core/connect-data-platform/redshift-setup.md
index 175d5f6a715..006f026ea94 100644
--- a/website/docs/docs/core/connect-data-platform/redshift-setup.md
+++ b/website/docs/docs/core/connect-data-platform/redshift-setup.md
@@ -70,8 +70,9 @@ pip is the easiest way to install the adapter:
 The authentication methods that dbt Core supports are: 
 
 - `database` &mdash; Password-based authentication (default, will be used if `method` is not provided)
-- `IAM` &mdash; IAM 
+- `IAM` &mdash; IAM
 
+For dbt Cloud users, log in using the default **Database username** and **password**. This is necessary because dbt Cloud does not support `IAM` authentication.
 
 Click on one of these authentication methods for further details on how to configure your connection profile. Each tab also includes an example `profiles.yml` configuration file for you to review.