[METADATA UPDATE][Merge by 2024-10-29] Global ms.service and ms.subservice metadata update

[learn-build-service-prod]

A Pull Request has been made from the Learn Platform's Metadata Management System. Please review and merge this Pull Request within 5 days. If you have any questions or concerns about the purpose of these metadata updates, please contact [email protected]. If you are not the correct contact for this content and repository, please notify [email protected].

If this Pull Request is not merged within 14 days, it will be automatically merged by our system to ensure the timeliness of the metadata update. This includes bypassing the Repository's Branch Policy, including if Review Required is enabled. Please notify [email protected] if you have questions or concerns or would like Pull Requests for metadata updates to merge automatically in future.

Fixing#992911 Remove ms.service = iot-central. Replaced by ms.service = azure-iot-central

Who initiated this PR?
The Learn Platform and Product (LPP) Site Experience team manages the Learn platform's reporting taxonomies that enable content analytics for OKR reporting and content portfolio management. Reporting taxonomy values populate metadata attributes.

We regularly review reporting taxonomies to ensure they are accurate, useful, and align to current business needs. Updates to reporting taxonomies and associated metadata make reports cleaner, easier to use, and more consistent.

Why are we updating ms.service/ms.subservice metadata?
Objective: Ensure ms.service attribute reliably reflects product affiliation.

Issues: 1. Currently, ms.service taxonomy values mix product and non-product concepts. Non-product concepts represent real reporting needs but aren't strictly about products. 2. Slugs (machine readable identifiers) don't reflect Microsoft branding guidelines. This is leading to inaccurate metadata on content.

Actions: 1. Revise taxonomy structure so "ms.service" represents the name of a branded Microsoft product, product family, or branding terminology. 2. Update slugs to comply with branding guidelines.

Outcome: 1. Establish a baseline for a comprehensive product data model representing all Microsoft offerings. 2. Ensure that report filters driven by ms.service will be based on product. 3. Improved metadata quality.

Why it matters

• Efficiency in Content Auditing: Revising the taxonomy structure will enable more precise content audits, fostering repeatable business processes and alleviating the burden of large-scale, one-off audit projects.
• Semantic Precision: The ms.service taxonomy will have meaningful, universally understood semantic values.
• Consistent Metadata: This work contributes to the accuracy and uniformity of contextual metadata within the Learn Knowledge Base.
• RAG Pipeline Efficiency: The Learn Knowledge Service's RAG pipeline will benefit from increased accuracy of product attribution of content.

How does this affect me?
After changes are complete, standard dashboards and reports will reflect new values, so you'll need to use new filter values. If you have any custom dashboards or Kusto queries, you might need to update those also.

Frequently Asked Questions
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[learn-build-service-prod]

Learn Build status updates of commit c2d354e:

✅ Validation status: passed

File	Status	Preview URL	Details
docfx.json	✅Succeeded

For more details, please refer to the build report.

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[mikefrobbins]

LGTM