[DOCS] Put Cloud snippets under test

[cdkini]

• Description of PR changes above includes a link to an existing GitHub issue
• PR title is prefixed with one of: [BUGFIX], [FEATURE], [DOCS], [MAINTENANCE], [CONTRIB]
• Code is linted - run invoke lint (uses ruff format + ruff check)
• Appropriate tests and docs have been updated

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[netlify]

✅ Deploy Preview for niobium-lead-7998 canceled.

Name	Link
🔨 Latest commit	510e2ea
🔍 Latest deploy log	https://app.netlify.com/sites/niobium-lead-7998/deploys/67dcaca7d1726100084d580a

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 80.33%. Comparing base (20abb22) to head (510e2ea).
Report is 1 commits behind head on develop.

✅ All tests successful. No failed tests found.

Additional details and impacted files

@@           Coverage Diff            @@
##           develop   #10831   +/-   ##
========================================
  Coverage    80.32%   80.33%           
========================================
  Files          484      484           
  Lines        40972    40972           
========================================
+ Hits         32912    32913    +1     
+ Misses        8060     8059    -1     

Flag	Coverage Δ
3.10	70.35% <ø> (ø)
3.10 athena or openpyxl or pyarrow or project or sqlite or aws_creds	56.76% <ø> (ø)
3.10 aws_deps	46.56% <ø> (ø)
3.10 big	54.98% <ø> (ø)
3.10 bigquery	?
3.10 clickhouse	43.47% <ø> (ø)
3.10 databricks	?
3.10 filesystem	63.11% <ø> (ø)
3.10 mssql	?
3.10 mysql	52.10% <ø> (ø)
3.10 postgresql	?
3.10 snowflake	?
3.10 spark	?
3.10 spark_connect	?
3.10 trino	?
3.11	70.36% <ø> (+<0.01%)	⬆️
3.11 athena or openpyxl or pyarrow or project or sqlite or aws_creds	56.76% <ø> (ø)
3.11 aws_deps	?
3.11 big	54.98% <ø> (ø)
3.11 bigquery	?
3.11 clickhouse	43.47% <ø> (ø)
3.11 databricks	?
3.11 filesystem	63.11% <ø> (ø)
3.11 mssql	?
3.11 mysql	52.10% <ø> (ø)
3.11 postgresql	?
3.11 snowflake	?
3.11 spark	?
3.11 spark_connect	?
3.11 trino	?
3.12	70.36% <ø> (ø)
3.12 athena or openpyxl or pyarrow or project or sqlite or aws_creds	56.77% <ø> (ø)
3.12 aws_deps	46.56% <ø> (ø)
3.12 big	54.97% <ø> (ø)
3.12 bigquery	49.15% <ø> (ø)
3.12 databricks	50.80% <ø> (ø)
3.12 filesystem	63.11% <ø> (ø)
3.12 mssql	51.85% <ø> (ø)
3.12 mysql	52.10% <ø> (ø)
3.12 postgresql	54.77% <ø> (ø)
3.12 snowflake	51.57% <ø> (ø)
3.12 spark	58.04% <ø> (ø)
3.12 spark_connect	46.89% <ø> (ø)
3.12 trino	52.52% <ø> (ø)
3.9	70.38% <ø> (ø)
3.9 athena or openpyxl or pyarrow or project or sqlite or aws_creds	56.77% <ø> (ø)
3.9 aws_deps	46.58% <ø> (ø)
3.9 big	54.99% <ø> (ø)
3.9 bigquery	49.14% <ø> (ø)
3.9 clickhouse	43.49% <ø> (ø)
3.9 databricks	50.80% <ø> (ø)
3.9 filesystem	63.11% <ø> (ø)
3.9 mssql	51.83% <ø> (ø)
3.9 mysql	52.08% <ø> (ø)
3.9 postgresql	54.75% <ø> (ø)
3.9 snowflake	51.57% <ø> (ø)
3.9 spark	58.00% <ø> (ø)
3.9 spark_connect	46.90% <ø> (ø)
3.9 trino	52.51% <ø> (ø)
cloud	0.00% <ø> (ø)

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[cdkini]

couldn't get this across the line but it's really close! there's an ECR issue or something take a look at the logs