Merge branch 'cloud-cli-2' into mwong-cloud-cli-links

website/docs/docs/cloud/cloud-cli-installation.md

@@ -114,7 +114,6 @@ To update, follow the same process explained in [Install manually (Windows)](#in
 After installation, you can [configure](/docs/cloud/configure-cloud-cli) the dbt Cloud CLI for your dbt Cloud project and use it to run [dbt commands](/reference/dbt-commands) similar to dbt Core. For example, you can execute the following commands to compile a project using dbt Cloud:
 
 ```bash
-dbt deps
 dbt compile
 ```
 

website/docs/docs/cloud/configure-cloud-cli.md

@@ -59,7 +59,7 @@ dbt-cloud:
 
 ## Use the dbt Cloud CLI
 
-The dbt Cloud CLI shares the same set of commands as dbt Core. When you invoke a dbt command, that command is sent to dbt Cloud for processing. Since this is still invoking dbt under the hood, you'll still need to run `dbt deps`, followed by the same model build commands you typically run.
+The dbt Cloud CLI shares the same set of commands as dbt Core. When you invoke a dbt command, that command is sent to dbt Cloud for processing. 
 
 The dbt Cloud CLI supports [project dependencies](/docs/collaborate/govern/project-dependencies), which is an exciting way to depend on another project using the metadata service in dbt Cloud. It instantly resolves references (or  `ref`) to public models defined in other projects. You don't need to execute or analyze these upstream models yourself. Instead, you treat them as an API that returns a dataset.