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A stale update fails cleanly and prompts re-read or explicit user conflict resolution. This result validates Optimistic concurrency ETag If-Match instead of the component in question. Here the specific acceptance check is: Optional fields do not crash the run and required dates or numbers are validated before updates.

A partial failure triggers the intended compensation and no false success notification is sent. This result validates Power Automate Scope run-after and failure handling instead of the component in question. Here the specific acceptance check is: Optional fields do not crash the run and required dates or numbers are validated before updates.

An agent answer is attributable to current permitted records and does not expose inaccessible employee data. This result validates Work IQ grounded Dataverse access for agents instead of the component in question. Here the specific acceptance check is: Optional fields do not crash the run and required dates or numbers are validated before updates.

The additional value is saved atomically with the original request without an extra update recursion. This step belongs to Dataverse PreOperation Target changes rather than the complementary pair here. The required action is: Use Dataverse row ETags and If-Match for concurrency-sensitive updates rather than silently overwriting newer edits. And its evidence is: Check returned @odata.etag, match header, error on precondition failure and business conflict policy.

Review registered image aliases, selected image columns, Target presence, MessageName and filtering attributes. This step belongs to Plug-in preimage postimage and filtering attributes rather than the complementary pair here. The required action is: Use Dataverse row ETags and If-Match for concurrency-sensitive updates rather than silently overwriting newer edits. And its evidence is: Check returned @odata.etag, match header, error on precondition failure and business conflict policy.

For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing. This step belongs to Dataverse API service-protection throttle retry rather than the complementary pair here. The required action is: Use Dataverse row ETags and If-Match for concurrency-sensitive updates rather than silently overwriting newer edits. And its evidence is: Check returned @odata.etag, match header, error on precondition failure and business conflict policy.

Publish Dataverse operation events to an approved endpoint using supported execution context and IOrganizationService or service endpoint integration contracts. That action addresses Dataverse IServiceEndpointNotificationService event publish instead. Event publication timing and transaction boundaries require care; a queued event is not proof a consumer processed it. For this case, the targeted action is: Configure OAuth or supported API key authentication and policy templates for runtime headers/URLs without placing secrets in app formulas.

Define a supported OpenAPI contract with stable operationIds, schemas, types and authentication before importing a custom connector. That action addresses Custom connector OpenAPI and operation identifiers instead. A REST endpoint existing does not mean its OpenAPI contract describes the required payload or result. For this case, the targeted action is: Configure OAuth or supported API key authentication and policy templates for runtime headers/URLs without placing secrets in app formulas.

Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows. That action addresses Dataverse change tracking incremental synchronization instead. Change tracking returns a change history token; ordinary modified-on filtering cannot reliably capture deletions. For this case, the targeted action is: Configure OAuth or supported API key authentication and policy templates for runtime headers/URLs without placing secrets in app formulas.

Inspect registration tool endpoint URL, authentication method, execution mode, delivery logs and returned status codes. These checks are relevant to Webhook integration endpoint authentication and registration, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint. These checks are relevant to Incremental sync conflict and deletion recovery, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs. These checks are relevant to Dataverse IServiceEndpointNotificationService event publish, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization. This step belongs to Dataverse custom API contract and plug-in execution rather than the complementary pair here. The required action is: Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context. And its evidence is: Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior.

Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges. This step belongs to Dataverse OData Web API select filter and pagination rather than the complementary pair here. The required action is: Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context. And its evidence is: Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior.

Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes. This step belongs to Agent evaluation and human approval for side effects rather than the complementary pair here. The required action is: Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context. And its evidence is: Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior.

Inspect console stack traces, browser network requests, response statuses, connector run history and request correlation IDs. These checks are relevant to Code app Monitor and browser troubleshooting, but are not the most discriminating first evidence for this case. Inspect instead: Inspect selected connection ID, connector operation, signed-in user's rights, environment binding and app host context.

Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log. These checks are relevant to Code app use of Power Automate cloud flow, but are not the most discriminating first evidence for this case. Inspect instead: Inspect selected connection ID, connector operation, signed-in user's rights, environment binding and app host context.

Inspect package version, environment, target app sharing, connection references, managed solution components and postdeploy tests. These checks are relevant to Code app packaging sharing and deployment, but are not the most discriminating first evidence for this case. Inspect instead: Inspect selected connection ID, connector operation, signed-in user's rights, environment binding and app host context.

Check execution stage, message, Target entity, attribute presence, filtering attributes and transaction log. These checks are relevant to Dataverse PreOperation Target changes, but are not the most discriminating first evidence for this case. Inspect instead: Inspect token audience/scopes, app registration, app-user Dataverse role, expiration and token cache security.

Inspect asynchronous request state, queue work item ID, job timeout, concurrency limits and idempotent completion marker. These checks are relevant to Asynchronous background operations and safe batching, but are not the most discriminating first evidence for this case. Inspect instead: Inspect token audience/scopes, app registration, app-user Dataverse role, expiration and token cache security.

Inspect data connection, access control, relevance filters, record freshness, approved tools and response trace. These checks are relevant to Work IQ grounded Dataverse access for agents, but are not the most discriminating first evidence for this case. Inspect instead: Inspect token audience/scopes, app registration, app-user Dataverse role, expiration and token cache security.

The UX reports a specific failed flow run and permits safe retry rather than claiming the business operation succeeded. This result validates Code app use of Power Automate cloud flow instead of the component in question. Here the specific acceptance check is: The component builds, is discoverable and binds to expected columns without manifest/schema mismatch.

The app displays agent results with attributable tool calls and blocks unauthorized record writes. This result validates Code app consuming Copilot Studio agent instead of the component in question. Here the specific acceptance check is: The component builds, is discoverable and binds to expected columns without manifest/schema mismatch.

The failing component is identified with reproducible evidence and a targeted fix, not a broad permissions escalation. This result validates Code app Monitor and browser troubleshooting instead of the component in question. Here the specific acceptance check is: The component builds, is discoverable and binds to expected columns without manifest/schema mismatch.

Inspect console stack traces, browser network requests, response statuses, connector run history and request correlation IDs. This step belongs to Code app Monitor and browser troubleshooting rather than the complementary pair here. The required action is: Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes. And its evidence is: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

Records are created or updated only in intended tables and table choices resolve to supported metadata values. This step belongs to Code app Dataverse metadata and table operations rather than the complementary pair here. The required action is: Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes. And its evidence is: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

Build dataset PCF components that use provided paging, sorting and selection APIs rather than assuming all rows are loaded. This step belongs to PCF dataset paging and selection behavior rather than the complementary pair here. The required action is: Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes. And its evidence is: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

The handler reliably detects a value transition even when the incoming Update contains only changed columns. This result validates Plug-in preimage postimage and filtering attributes instead of the component in question. Here the specific acceptance check is: A replay processes a business event once and failed deliveries remain diagnosable without deleting already committed changes.

The application presents agent output in the right user session and aborted requests do not execute delayed unintended writes. This result validates Copilot Studio client library consumption instead of the component in question. Here the specific acceptance check is: A replay processes a business event once and failed deliveries remain diagnosable without deleting already committed changes.

A function retrieves only authorized Dataverse rows without shipping plaintext client secrets in configuration. This result validates Managed identity Azure Function to Dataverse instead of the component in question. Here the specific acceptance check is: A replay processes a business event once and failed deliveries remain diagnosable without deleting already committed changes.

Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget. These checks are relevant to Dataverse API service-protection throttle retry, but are not the most discriminating first evidence for this case. Inspect instead: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior. These checks are relevant to Foundry to Copilot Studio agent orchestration, but are not the most discriminating first evidence for this case. Inspect instead: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies. These checks are relevant to Dataverse PostOperation plug-in and after-save evidence, but are not the most discriminating first evidence for this case. Inspect instead: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.