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The item existing does not prove telemetry categories are populated or available to operators.

Successful requests don't establish absence of intermittent failures or ingestion errors under load.

One low-load screenshot cannot establish query contention at the reported incident time.

The source already has new rows; troubleshoot the independent imported model refresh process first.

A faster visual cannot display source updates not loaded into the imported semantic model.

The scenario explicitly uses an imported semantic model whose scheduled refresh failed.

The lakehouse is already fresh; imported semantic models have their own refresh lifecycle and cached state.

Current source rows demonstrate freshness independently of the semantic model's failed refresh.

Report naming does not invoke a scheduled semantic-model refresh or repair credentials.

A fresh lakehouse does not prove the semantic model imported the new rows.

Visual styling cannot establish that the cached model matches source Delta records.

A defined schedule may have failed; verify actual successful execution and data reconciliation.

Manual invocation doesn't create scheduled failure detection or a notification action.

A success predicate won't detect failed overnight pipeline executions.

A browser-only view won't reliably notify unattended staff and lacks persistent routing.

A one-time execution does not configure alert rules or email recipients for later scheduled failures.

Interactive UI presence isn't an operational notification route when no one is logged in.

Capacity sizing does not create a notification rule or approved recipient list.

A configured rule can still have wrong scope, conditions, recipient permissions or delivery setup.

Only a failure test exercises the rule's predicate, messaging and routing.

An unrelated message doesn't prove this pipeline's failure signal reaches its intended on-call group.

The bottleneck is an unsatisfied downstream dependency, not the finished Copy engine's throughput.

Arbitrary cancellation hides actual waits and may leave downstream state inconsistent.

A parent In Progress state does not identify which activity or condition is still pending.

An in-progress dependency can leave the pipeline waiting after prior activities have succeeded.

No evidence links a database lock to the pipeline's unsatisfied downstream dependency condition.

Domain governance isn't the engine controlling pipeline activity dependencies and completion.

Data can be complete while the pipeline remains blocked by a waiting dependency or activity.

A green summary may not appear until the blocked condition is resolved; investigate the actual dependency.

More Copy capacity cannot unblock a downstream condition waiting on a different dependency.

That excludes Dataflows and Copy jobs in all other workspaces and cannot prove global coverage.

The requested nightly review spans both workload types; omitting Copy loses part of the scheduled roster.

Anonymous counts can hide absent workspaces and duplicated runs, undermining completeness.