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The component builds, is discoverable and binds to expected columns without manifest/schema mismatch. This step belongs to PCF ControlManifest inputs and resources rather than the complementary pair here. The required action is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling. And its evidence is: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

Connect a code app to an authorized Copilot Studio agent through a supported client interface while validating user consent and action permissions. This step belongs to Code app consuming Copilot Studio agent rather than the complementary pair here. The required action is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling. And its evidence is: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle. This step belongs to PCF WebAPI Device and Utility usage rather than the complementary pair here. The required action is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling. And its evidence is: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

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 table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.

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 table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.

Inspect key definition state, source identifier uniqueness, case handling, composite columns and existing duplicate rows. These checks are relevant to Alternate keys for external identifiers, but are not the most discriminating first evidence for this case. Inspect instead: Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.

Configure OAuth or supported API key authentication and policy templates for runtime headers/URLs without placing secrets in app formulas. That action addresses Custom connector OAuth and policy templates instead. Policy templates can transform requests but cannot substitute for server-side permission enforcement or secret management. For this case, the targeted action is: Choose Service Bus for enterprise queued commands/durable message handling and Event Hub for high-throughput event streaming when the consumer pattern warrants it.

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: Choose Service Bus for enterprise queued commands/durable message handling and Event Hub for high-throughput event streaming when the consumer pattern warrants it.

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: Choose Service Bus for enterprise queued commands/durable message handling and Event Hub for high-throughput event streaming when the consumer pattern warrants it.

Inspect connector table binding, logical name, lookup ID, supported action, filter and returned service error codes. These checks are relevant to Code app Dataverse metadata and table operations, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

Inspect solution variable current values, environment ownership, deployment settings and fallback behavior. These checks are relevant to Code app environment variables and release-specific config, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

Inspect render counts, API request volume, bundle size, memory usage, stale closures and page-size defaults. These checks are relevant to Code app render performance and resource cleanup, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

Operations staff can trace a failing user request across components without exposing customer personal data. This result validates Cross-service monitoring and alert design instead of the component in question. Here the specific acceptance check is: The UX extension runs in its intended host, remains maintainable and respects platform permissions.

Callers reach the intended business operation through a stable contract with its security boundary explicit. This result validates Custom connector boundary versus plug-in endpoint instead of the component in question. Here the specific acceptance check is: The UX extension runs in its intended host, remains maintainable and respects platform permissions.

A deployment changes only the intended solution layer and the previous customization is recoverable. This result validates Managed solution layers and upgrade behavior instead of the component in question. Here the specific acceptance check is: The UX extension runs in its intended host, remains maintainable and respects platform permissions.

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: Authenticate Azure Functions through an eligible managed identity or governed service principal with Dataverse application-user roles. And its evidence is: Inspect identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage.

Use Azure Functions to offload expensive work from synchronous Dataverse plug-ins while authenticating separately and tracking completion. This step belongs to Azure Functions for long-running Dataverse work rather than the complementary pair here. The required action is: Authenticate Azure Functions through an eligible managed identity or governed service principal with Dataverse application-user roles. And its evidence is: Inspect identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage.

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: Authenticate Azure Functions through an eligible managed identity or governed service principal with Dataverse application-user roles. And its evidence is: Inspect identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage.

Check identity registration, target resource audience, cloud tenant, scoped service role, event contract and telemetry. These checks are relevant to Plug-in managed identity and business events, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging.

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 flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging.

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 flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging.

The receiving agent produces a traceable response with correct customer scope and no unintended action handoff. This result validates Foundry to Copilot Studio agent orchestration instead of the component in question. Here the specific acceptance check is: Unexpected instructions are refused and sensitive updates occur only with recorded authorization and verification.

A replay processes a business event once and failed deliveries remain diagnosable without deleting already committed changes. This result validates Azure Function idempotent integration recovery instead of the component in question. Here the specific acceptance check is: Unexpected instructions are refused and sensitive updates occur only with recorded authorization and verification.

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: Unexpected instructions are refused and sensitive updates occur only with recorded authorization and verification.

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 manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle.

Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role. These checks are relevant to Command bar Power Fx and JavaScript rules, but are not the most discriminating first evidence for this case. Inspect instead: Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle.

Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions. These checks are relevant to PCF lifecycle methods and output notification, but are not the most discriminating first evidence for this case. Inspect instead: Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle.

Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency. These checks are relevant to Dataverse UpsertRequest idempotent load, but are not the most discriminating first evidence for this case. Inspect instead: Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation.

Inspect ordering needs, delivery guarantees, subscriber model, retry/dead letter, throughput and data contract. These checks are relevant to Azure Service Bus and Event Hub endpoint selection, but are not the most discriminating first evidence for this case. Inspect instead: Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation.

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

Deploy a versioned code app through the supported Power Platform workflow and share it with explicit app and data permissions. That action addresses Code app packaging sharing and deployment instead. Sharing an app does not automatically grant Dataverse table rights or connector access. For this case, the targeted action is: Build dataset PCF components that use provided paging, sorting and selection APIs rather than assuming all rows are loaded.

Keep declarative form logic in business rules when possible and use a client script only when complex supported custom behavior is required. That action addresses Form business rule versus custom client JavaScript instead. Client-only rules cannot guarantee integrity for SDK/API writes; a complex callback may also increase form latency. For this case, the targeted action is: Build dataset PCF components that use provided paging, sorting and selection APIs rather than assuming all rows are loaded.

Pass the execution context to registered form handlers and obtain formContext instead of relying on deprecated global Xrm.Page. That action addresses Model-driven formContext from execution context instead. The Client API formContext comes from the event context; standalone Web API calls do not expose a form object. For this case, the targeted action is: Build dataset PCF components that use provided paging, sorting and selection APIs rather than assuming all rows are loaded.