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Operations staff can trace a failing user request across components without exposing customer personal data. This step belongs to Cross-service monitoring and alert design rather than the complementary pair here. The required action is: Choose a standard Dataverse table for native persistence and offline-style features, and a virtual table when live external rows must remain at their source and provider limitations are accepted. And its evidence is: Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance.

Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. This step belongs to Least-privilege technical authorization design rather than the complementary pair here. The required action is: Choose a standard Dataverse table for native persistence and offline-style features, and a virtual table when live external rows must remain at their source and provider limitations are accepted. And its evidence is: Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance.

Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy. This step belongs to Microsoft Foundry versus Power Platform agent boundary rather than the complementary pair here. The required action is: Choose a standard Dataverse table for native persistence and offline-style features, and a virtual table when live external rows must remain at their source and provider limitations are accepted. And its evidence is: Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance.

Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation. These checks are relevant to Azure Function-backed connector transformation, but are not the most discriminating first evidence for this case. Inspect instead: Inspect delivery attempt logs, event ID, consumer receipt store, downstream transaction and retry/backoff handling.

Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation. These checks are relevant to Dataverse change tracking incremental synchronization, but are not the most discriminating first evidence for this case. Inspect instead: Inspect delivery attempt logs, event ID, consumer receipt store, downstream transaction and retry/backoff handling.

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 delivery attempt logs, event ID, consumer receipt store, downstream transaction and retry/backoff handling.

Inspect trigger type, filtering attributes, change type, OData row filter, trigger condition and run history. This step belongs to Power Automate Dataverse trigger filter columns and OData rather than the complementary pair here. The required action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation. And its evidence is: Inspect custom API uniqueness, bound/unbound setting, parameters, Execute privilege, registration and returned response shape.

Register a signed plug-in assembly, target message, step mode/stage and image configuration with supported tooling and deploy it in a solution. This step belongs to Plug-in Registration Tool and signed assembly deployment rather than the complementary pair here. The required action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation. And its evidence is: Inspect custom API uniqueness, bound/unbound setting, parameters, Execute privilege, registration and returned response shape.

Multiple parent flows call the same versioned validation step with consistent results and no personal credentials. This step belongs to Child flows and solution connection references rather than the complementary pair here. The required action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation. And its evidence is: Inspect custom API uniqueness, bound/unbound setting, parameters, Execute privilege, registration and returned response shape.

Inspect cron schedule timezone, trigger binding, retry policy, poison queue, idempotent key and host instance scaling. These checks are relevant to Azure Functions Timer and queue trigger controls, but are not the most discriminating first evidence for this case. Inspect instead: Inspect trigger type, correlation ID, Dataverse service principal, function timeout, queue visibility and failed-message policy.

Inspect trigger outputs, actual null/empty shapes, dynamic content paths, expression result and test payloads. These checks are relevant to Power Automate expressions null coalesce and safe parsing, but are not the most discriminating first evidence for this case. Inspect instead: Inspect trigger type, correlation ID, Dataverse service principal, function timeout, queue visibility and failed-message policy.

Inspect identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage. These checks are relevant to Managed identity Azure Function to Dataverse, but are not the most discriminating first evidence for this case. Inspect instead: Inspect trigger type, correlation ID, Dataverse service principal, function timeout, queue visibility and failed-message policy.

The form shows the right related data without freezing the UI, losing pages or returning unauthorized records. This result validates Dataverse Xrm.WebApi asynchronous lookups instead of the component in question. Here the specific acceptance check is: Records are created or updated only in intended tables and table choices resolve to supported metadata values.

The component builds, is discoverable and binds to expected columns without manifest/schema mismatch. This result validates PCF ControlManifest inputs and resources instead of the component in question. Here the specific acceptance check is: Records are created or updated only in intended tables and table choices resolve to supported metadata values.

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: Records are created or updated only in intended tables and table choices resolve to supported metadata values.

Multiple parent flows call the same versioned validation step with consistent results and no personal credentials. This result validates Child flows and solution connection references instead of the component in question. Here the specific acceptance check is: Only relevant table changes start the flow and a self-update does not cause unbounded reentry.

The UI acknowledges queued work separately from completion and users can recover a failed job without duplicate side effects. This result validates Asynchronous background operations and safe batching instead of the component in question. Here the specific acceptance check is: Only relevant table changes start the flow and a self-update does not cause unbounded reentry.

Long-running processing completes independently of the initiating save and reports its final status later. This result validates Azure Functions for long-running Dataverse work instead of the component in question. Here the specific acceptance check is: Only relevant table changes start the flow and a self-update does not cause unbounded reentry.

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 modal return values, navigation options, form notification IDs, record identifiers and asynchronous cancel behavior.

Inspect control manifest property of-type, usage, component namespace, platform libraries and compiled resource paths. These checks are relevant to PCF ControlManifest inputs and resources, but are not the most discriminating first evidence for this case. Inspect instead: Inspect modal return values, navigation options, form notification IDs, record identifiers and asynchronous cancel behavior.

Inspect dataset loading flags, records page, sorting state, paging.hasNextPage and selected record IDs. These checks are relevant to PCF dataset paging and selection behavior, but are not the most discriminating first evidence for this case. Inspect instead: Inspect modal return values, navigation options, form notification IDs, record identifiers and asynchronous cancel behavior.

Use configured Dataverse table relationships and a business rule before adding a custom plug-in when requirements fit declarative capabilities. This step belongs to Out-of-box table/form choice versus server extension rather than the complementary pair here. The required action is: Keep related Dataverse tables, flows, connection references and plug-in registrations in a versioned solution and resolve dependencies before import. And its evidence is: Inspect solution checker, missing components, dependent components, publisher ownership and deployment order.

The application reads the authoritative source while all required edits and security operations behave as documented. This step belongs to Standard versus virtual Dataverse tables rather than the complementary pair here. The required action is: Keep related Dataverse tables, flows, connection references and plug-in registrations in a versioned solution and resolve dependencies before import. And its evidence is: Inspect solution checker, missing components, dependent components, publisher ownership and deployment order.

Compare host form lifecycle, accessibility, reuse, data access, application complexity and deployment requirements. This step belongs to Choosing client scripts PCF or code apps rather than the complementary pair here. The required action is: Keep related Dataverse tables, flows, connection references and plug-in registrations in a versioned solution and resolve dependencies before import. And its evidence is: Inspect solution checker, missing components, dependent components, publisher ownership and deployment order.

Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance. This step belongs to Standard versus virtual Dataverse tables rather than the complementary pair here. The required action is: Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. And its evidence is: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Use configured Dataverse table relationships and a business rule before adding a custom plug-in when requirements fit declarative capabilities. This step belongs to Out-of-box table/form choice versus server extension rather than the complementary pair here. The required action is: Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. And its evidence is: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Callers reach the intended business operation through a stable contract with its security boundary explicit. This step belongs to Custom connector boundary versus plug-in endpoint rather than the complementary pair here. The required action is: Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. And its evidence is: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. That action addresses Plug-in managed identity and business events instead. Managed identities reduce secret management but do not grant target resource permissions automatically. For this case, the targeted action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records.

Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation. That action addresses Dataverse custom API contract and plug-in execution instead. A custom API defines a formal operation; creating only a plug-in assembly does not expose the message contract. For this case, the targeted action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records.

Use a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation. That action addresses Copilot Studio client library consumption instead. Agent sessions can carry context across turns; code must bind sessions to the correct caller and lifetime. For this case, the targeted action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records.

Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. This step belongs to Dataverse UpsertRequest idempotent load rather than the complementary pair here. The required action is: Use durable checkpoints, conflict detection and explicit deletion reconciliation to keep external systems consistent with Dataverse. And its evidence is: Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint.

Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation. This step belongs to Azure Function-backed connector transformation rather than the complementary pair here. The required action is: Use durable checkpoints, conflict detection and explicit deletion reconciliation to keep external systems consistent with Dataverse. And its evidence is: Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint.

The business event arrives with enough immutable identifier and operation context for safe downstream handling. This step belongs to Dataverse IServiceEndpointNotificationService event publish rather than the complementary pair here. The required action is: Use durable checkpoints, conflict detection and explicit deletion reconciliation to keep external systems consistent with Dataverse. And its evidence is: Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint.