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DP-600/Topic 02

Microsoft / Associate

Versioning, Deployment and Reusable Analytics Assets

2 min read5 recall promptsReviewed 2026-10-10

Memory hook: Version the definition; validate the environment and data separately.

Must remember

Git integration tracks supported workspace item definitions, not a complete backup of every data row, credential or runtime state. Use branches, reviewed changes and clear workspace ownership. A Power BI project (.pbip) separates report/model definitions into files suitable for version control; inspect diffs and exclude secrets and local transient files.

Deployment pipelines promote supported items between stages. Check dependencies, environment-specific connections, parameters, ownership, permissions and refresh behavior after deployment. A successful promotion does not prove that a report now reads the correct production source. Impact analysis follows downstream dependencies from changed dataflows, lakehouses, warehouses and models so affected owners can test.

The XMLA endpoint supports supported semantic-model management and external tooling. Read versus read/write settings, capacity/licensing and permissions matter. Treat a scripted model change as a production deployment with review, validation and recovery planning; it is not a shortcut around governance.

A .pbit template packages reusable report/model/query structure without imported data. A .pbids file describes a supported data-source connection starting point; it is not a full report. Shared semantic models centralize definitions so multiple reports use the same measures. Reuse reduces conflicting business logic, but a bad central change can affect many consumers.

Before release, compare row counts, key measures, role behavior and refresh results with a known baseline. Keep a rollback definition and know whether the underlying schema/data change is reversible. Version control alone cannot undo destructive source-data changes.

Choose under exam pressure

Requirement Choice and reason
Review model/report definition changes PBIP plus Git review.
Reuse report structure without imported records PBIT template.
Deploy model metadata through external tools Authorized XMLA read/write operations.

Traps

  • Git history does not contain all source data or credentials.
  • A deployment pipeline does not validate business totals automatically.

Active recall

1. PBIP versus PBIT?

Project files for development/versioning versus a reusable template without imported data.

2. What does PBIDS provide?

A data-source connection starting point.

3. Why use impact analysis?

To identify downstream items and owners affected by a change.

4. Why check XMLA settings?

The endpoint and intended write operation require appropriate capacity configuration and permissions.

5. What should a deployment smoke test include?

Correct source, representative totals, security roles and successful refresh.

Sources

CLOSE THE NOTES. EXPLAIN THE CHOICE.

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