Update links and fix vulnerabilities

.github/workflows/preview-deploy.yml

@@ -12,7 +12,7 @@ jobs:
     if: github.event.workflow_run.event == 'pull_request' && github.event.workflow_run.conclusion == 'success'
     steps:
       - name: download pr artifact
-        uses: dawidd6/action-download-artifact@v3
+        uses: dawidd6/action-download-artifact@v6
         with:
           workflow: ${{ github.event.workflow_run.workflow_id }}
           name: pr
@@ -22,7 +22,7 @@ jobs:
         run: echo "::set-output name=id::$(<pr-id.txt)"
 
       - name: Download dist artifact
-        uses: dawidd6/action-download-artifact@v3
+        uses: dawidd6/action-download-artifact@v6
         with:
           workflow: ${{ github.event.workflow_run.workflow_id }}
           workflow_conclusion: success
@@ -60,7 +60,7 @@ jobs:
     if: github.event.workflow_run.event == 'pull_request' && github.event.workflow_run.conclusion == 'failure'
     steps:
       - name: Download PR artifact
-        uses: dawidd6/action-download-artifact@v3
+        uses: dawidd6/action-download-artifact@v6
         with:
           workflow: ${{ github.event.workflow_run.workflow_id }}
           name: pr

content/en/getting-started/faq/index.md

@@ -13,7 +13,7 @@ Yes, the Snowflake emulator supports the Snowflake v2 SQL API (`/api/v2/*` endpo
 
 ### Why are my Snowflake tests failing?
 
-The Snowflake emulator is in **preview** and may not support all Snowflake features. If your tests are failing, it could be due to the lack of support for certain Snowflake features in the emulator. We recommend checking the [function coverage](https://snowflake.localstack.cloud/references/coverage/) to see the list of supported functions. If you encounter any issues, you can connect with us for [support](#support-faqs).
+The Snowflake emulator is in **preview** and may not support all Snowflake features. If your tests are failing, it could be due to the lack of support for certain Snowflake features in the emulator. We recommend checking the [function coverage](https://snowflake.localstack.cloud/references/coverage-functions/) to see the list of supported SQL functions and [feature coverage](https://snowflake.localstack.cloud/references/coverage-features/) to see the list of supported features. If you encounter any issues, you can connect with us for [support](#support-faqs).
 
 ### Why does the Snowflake emulator run on `snowflake.localhost.localstack.cloud`?
 

content/en/introduction/_index.md

@@ -25,4 +25,4 @@ The Snowflake emulator supports the following features:
 * ... and more!
 
 Integrating the Snowflake emulator into your existing CI/CD pipeline allows you to run integration tests and identify issues early, reducing surprises during production deployment.
-Check our [Function Coverage]({{< ref "coverage-functions" >}}) and [Function Coverage]({{< ref "coverage-features" >}}) pages for a comprehensive list of supported functions.
+Check our [SQL Functions Coverage]({{< ref "coverage-functions" >}}) and [Feature Coverage]({{< ref "coverage-features" >}}) pages for a comprehensive list of supported functions.

content/en/references/_index.html

@@ -4,7 +4,7 @@
 layout: redirect
 sitemap_exclude: true
 weight: 5
-redirect: references/coverage
+redirect: references/coverage-features
 cascade:
   type: docs
 ---

content/en/user-guide/snowpark/index.md

@@ -46,20 +46,20 @@ You can create a table named `sample_product_data` and fill the table with some
 session.sql('CREATE OR REPLACE TABLE sample_product_data (id INT, parent_id INT, category_id INT, name VARCHAR, serial_number VARCHAR, key INT, "3rd" INT)').collect()
 [Row(status='Table SAMPLE_PRODUCT_DATA successfully created.')]
 session.sql("""
-... INSERT INTO sample_product_data VALUES
-... (1, 0, 5, 'Product 1', 'prod-1', 1, 10),
-... (2, 1, 5, 'Product 1A', 'prod-1-A', 1, 20),
-... (3, 1, 5, 'Product 1B', 'prod-1-B', 1, 30),
-... (4, 0, 10, 'Product 2', 'prod-2', 2, 40),
-... (5, 4, 10, 'Product 2A', 'prod-2-A', 2, 50),
-... (6, 4, 10, 'Product 2B', 'prod-2-B', 2, 60),
-... (7, 0, 20, 'Product 3', 'prod-3', 3, 70),
-... (8, 7, 20, 'Product 3A', 'prod-3-A', 3, 80),
-... (9, 7, 20, 'Product 3B', 'prod-3-B', 3, 90),
-... (10, 0, 50, 'Product 4', 'prod-4', 4, 100),
-... (11, 10, 50, 'Product 4A', 'prod-4-A', 4, 100),
-... (12, 10, 50, 'Product 4B', 'prod-4-B', 4, 100)
-... """).collect()
+    INSERT INTO sample_product_data VALUES
+    (1, 0, 5, 'Product 1', 'prod-1', 1, 10),
+    (2, 1, 5, 'Product 1A', 'prod-1-A', 1, 20),
+    (3, 1, 5, 'Product 1B', 'prod-1-B', 1, 30),
+    (4, 0, 10, 'Product 2', 'prod-2', 2, 40),
+    (5, 4, 10, 'Product 2A', 'prod-2-A', 2, 50),
+    (6, 4, 10, 'Product 2B', 'prod-2-B', 2, 60),
+    (7, 0, 20, 'Product 3', 'prod-3', 3, 70),
+    (8, 7, 20, 'Product 3A', 'prod-3-A', 3, 80),
+    (9, 7, 20, 'Product 3B', 'prod-3-B', 3, 90),
+    (10, 0, 50, 'Product 4', 'prod-4', 4, 100),
+    (11, 10, 50, 'Product 4A', 'prod-4-A', 4, 100),
+    (12, 10, 50, 'Product 4B', 'prod-4-B', 4, 100)
+""").collect()
 ```
 
 You can verify that the table was created and the data was inserted by executing the following Python code: