Implementing feedback round 2

Author: Oxyjun

src/content/docs/d1/get-started.mdx

@@ -256,6 +256,14 @@ After correctly preparing your [Wrangler configuration file](/workers/wrangler/c
    ```sh
    npx wrangler d1 execute prod-d1-tutorial --local --file=./schema.sql
    ```
+    ```output
+     ⛅️ wrangler 4.13.2
+    -------------------
+
+    🌀 Executing on local database prod-d1-tutorial (<DATABASE_ID>) from .wrangler/state/v3/d1:
+    🌀 To execute on your remote database, add a --remote flag to your wrangler command.
+    🚣 3 commands executed successfully.
+    ```
 
     :::note
     The command `npx wrangler d1 execute` initializes your database locally, not on the remote database.
@@ -269,7 +277,7 @@ After correctly preparing your [Wrangler configuration file](/workers/wrangler/c
 
    ```sh output
    🌀 Mapping SQL input into an array of statements
-   🌀 Executing on local database production-db-backend (5f092302-3fbd-4247-a873-bf1afc5150b) from .wrangler/state/v3/d1:
+   🌀 Executing on local database production-db-backend (<DATABASE_ID>) from .wrangler/state/v3/d1:
    ┌────────────┬─────────────────────┬───────────────────┐
    │ CustomerId │ CompanyName         │ ContactName       │
    ├────────────┼─────────────────────┼───────────────────┤
@@ -402,36 +410,75 @@ You can query your D1 database using your Worker.
 </TabItem>
 </Tabs>
 
-## 5. Deploy your database
+## 5. Deploy your application
 
-Deploy your database on Cloudflare's global network.
+Deploy your application on Cloudflare's global network.
 
 <Tabs syncKey='CLIvDash'> <TabItem label='CLI'>
 
 To deploy your Worker to production using Wrangler, you must first repeat the [database configuration](/d1/get-started/#populate-your-d1-database) steps after replacing the `--local` flag with the `--remote` flag to give your Worker data to read. This creates the database tables and imports the data into the production version of your database.
 
 <Steps>
-1. Bootstrap your database with the `schema.sql` file you created in step 4:
+1. Create tables and add entries to your remote database with the `schema.sql` file you created in step 4. Enter `y` to confirm your decision.
 
     ```sh
     npx wrangler d1 execute prod-d1-tutorial --remote --file=./schema.sql
     ```
+    ```sh output
+    ✔ ⚠️ This process may take some time, during which your D1 database will be unavailable to serve queries.
+    Ok to proceed? y
+    🚣 Executed 3 queries in 0.00 seconds (5 rows read, 6 rows written)
+   	Database is currently at bookmark 00000002-00000004-00004ef1-ad4a06967970ee3b20860c86188a4b31.
+    ┌────────────────────────┬───────────┬──────────────┬────────────────────┐
+    │ Total queries executed │ Rows read │ Rows written │ Database size (MB) │
+    ├────────────────────────┼───────────┼──────────────┼────────────────────┤
+    │ 3                      │ 5         │ 6            │ 0.02               │
+    └────────────────────────┴───────────┴──────────────┴────────────────────┘
+		```
 
 2. Validate the data is in production by running:
 
-   ```sh
-   npx wrangler d1 execute prod-d1-tutorial --remote --command="SELECT * FROM Customers"
-   ```
+    ```sh
+    npx wrangler d1 execute prod-d1-tutorial --remote --command="SELECT * FROM Customers"
+    ```
+    ```sh output
+     ⛅️ wrangler 4.13.2
+    -------------------
+
+    🌀 Executing on remote database prod-d1-tutorial (<DATABASE_ID>):
+    🌀 To execute on your local development database, remove the --remote flag from your wrangler command.
+    🚣 Executed 1 command in 0.4069ms
+    ┌────────────┬─────────────────────┬───────────────────┐
+    │ CustomerId │ CompanyName         │ ContactName       │
+    ├────────────┼─────────────────────┼───────────────────┤
+    │ 1          │ Alfreds Futterkiste │ Maria Anders      │
+    ├────────────┼─────────────────────┼───────────────────┤
+    │ 4          │ Around the Horn     │ Thomas Hardy      │
+    ├────────────┼─────────────────────┼───────────────────┤
+    │ 11         │ Bs Beverages        │ Victoria Ashworth │
+    ├────────────┼─────────────────────┼───────────────────┤
+    │ 13         │ Bs Beverages        │ Random Name       │
+    └────────────┴─────────────────────┴───────────────────┘
+    ```
 
 3. Deploy your Worker to make your project accessible on the Internet. Run:
 
    ```sh
    npx wrangler deploy
    ```
-
    ```sh output
-   Outputs: https://d1-tutorial.<YOUR_SUBDOMAIN>.workers.dev
-   ```
+    ⛅️ wrangler 4.13.2
+    -------------------
+
+    Total Upload: 0.19 KiB / gzip: 0.16 KiB
+    Your worker has access to the following bindings:
+    - D1 Databases:
+      - DB: prod-d1-tutorial (<DATABASE_ID>)
+    Uploaded d1-tutorial (3.76 sec)
+    Deployed d1-tutorial triggers (2.77 sec)
+      https://d1-tutorial.<YOUR_SUBDOMAIN>.workers.dev
+    Current Version ID: <VERSION_ID>
+    ```
 
    You can now visit the URL for your newly created project to query your live database.
 
@@ -512,6 +559,10 @@ npx wrangler d1 delete prod-d1-tutorial
 
 </TabItem> </Tabs>
 
+:::caution
+Note that deleting your D1 database will stop your application from functioning as before.
+:::
+
 If you want to delete your Worker:
 
 <Tabs syncKey='CLIvDash'> <TabItem label='CLI'>