2. Solve Data Governance and Catalog Cases

Diagnose Scanning and Data Map Coverage

Distinguish scan completion, metadata coverage, classification quality, and API reliability.

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In this lesson, you will learn to:

  • Analyze and resolve a realistic scenario involving diagnose scanning and data map coverage.

Diagnose Scanning and Data Map Coverage

This applied lesson develops exam and operational judgment for diagnose scanning and data map coverage.

A completed scan does not prove complete discovery

Compare expected assets with discovered assets. Validate source permissions, exclusions, rule sets, network paths, integration runtime, sampling, credentials, and refresh. A green status only proves that the configured job completed. It does not prove the scan identity could see every expected schema or that rare sensitive values were sampled.

Data Map stores metadata and relationships. Its roles do not grant access to underlying data, and its classifications do not automatically create Microsoft 365 DLP enforcement. Questions that imply either behavior are testing the boundary between governance and security control planes.

Use the Data Map architecture guide to rehearse the register–scan–validate–steward lifecycle.

API reliability requires bounded and reconcilable work

For large reads, paginate collections and avoid expanding unnecessary relationships. For writes, use stable identities, small batches, bounded concurrency, a result ledger, and read-back reconciliation. A timeout does not prove the service committed nothing.

Distinguish HTTP 408 timeout from HTTP 429 throttling. Replaying an ambiguous write blindly can duplicate logical assets or hide partial outcomes. The Data Map 408 guide gives the decision sequence.

In exam choices, prefer request shaping and evidence capture before adding capacity. Capacity may improve aggregate throughput; it does not make an oversized graph small.

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