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website/docs/faqs/API/rotate-token.md

@@ -48,7 +48,7 @@ curl --location --request POST 'https://YOUR_ACCESS_URL/api/v2/users/123/apikey/
 
 ### dbt Cloud deployments
 
-If your [dbt Cloud deployment](/docs/cloud/about-cloud/regions-ip-addresses) uses a different access URL, replace `YOUR_ACCESS_URL` with the URL of your instance.
+If your [dbt Cloud deployment](/docs/cloud/about-cloud/access-regions-ip-addresses) uses a different access URL, replace `YOUR_ACCESS_URL` with the URL of your instance.
 
 For example, if your deployment is Virtual Private dbt: 
 

website/docs/guides/bigquery-qs.md

@@ -85,7 +85,7 @@ In order to let dbt connect to your warehouse, you'll need to generate a keyfile
 3. Create a service account key for your new project from the [Service accounts page](https://console.cloud.google.com/iam-admin/serviceaccounts?walkthrough_id=iam--create-service-account-keys&start_index=1#step_index=1). For more information, refer to [Create a service account key](https://cloud.google.com/iam/docs/creating-managing-service-account-keys#creating) in the Google Cloud docs. When downloading the JSON file, make sure to use a filename you can easily remember. For example, `dbt-user-creds.json`. For security reasons, dbt Labs recommends that you protect this JSON file like you would your identity credentials; for example, don't check the JSON file into your version control software.
 
 ## Connect dbt Cloud to BigQuery​
-1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/regions-ip-addresses). From **Account settings** (using the gear menu in the top right corner), click **+ New Project**.
+1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/access-regions-ip-addresses). From **Account settings** (using the gear menu in the top right corner), click **+ New Project**.
 2. Enter a project name and click **Continue**.
 3. For the warehouse, click **BigQuery** then **Next** to set up your connection.
 4. Click **Upload a Service Account JSON File** in settings.

website/docs/guides/redshift-qs.md

@@ -166,7 +166,7 @@ Now we are going to load our sample data into the S3 bucket that our Cloudformat
     select * from stripe.payment;
     ```
 ## Connect dbt Cloud to Redshift 
-1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/regions-ip-addresses). From **Account settings** (using the gear menu in the top right corner), click **+ New Project**.
+1. Create a new project in [dbt Cloud](/docs/cloud/about-cloud/access-regions-ip-addresses). From **Account settings** (using the gear menu in the top right corner), click **+ New Project**.
 2. Enter a project name and click **Continue**.
 3. For the warehouse, click **Redshift** then **Next** to set up your connection.
 4. Enter your Redshift settings. Reference your credentials you saved from the CloudFormation template.

website/docs/guides/starburst-galaxy-qs.md

@@ -202,7 +202,7 @@ To query the Jaffle Shop data with Starburst Galaxy, you need to create tables u
     If this role is not listed for you, choose the role you selected in [Connect Starburst Galaxy to the Amazon S3 bucket](#connect-to-s3-bucket) when you added location privilege for your S3 bucket.
 3. Click **Clusters** on the left sidebar.
 4. Find your cluster in the **View clusters** table and click **Connection info**. Choose **dbt** from the **Select client** dropdown. Keep the **Connection information** modal open. You will use details from that modal in dbt Cloud.
-5. In another browser tab, log in to [dbt Cloud](/docs/cloud/about-cloud/regions-ip-addresses).
+5. In another browser tab, log in to [dbt Cloud](/docs/cloud/about-cloud/access-regions-ip-addresses).
 6. Create a new project in dbt Cloud. From Account settings (using the gear menu in the top right corner), click **+ New Project**.
 7. Enter a project name and click **Continue**.
 8. Choose **Starburst** as your connection and click **Next**.