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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: Connect a code app to an authorized Copilot Studio agent through a supported client interface while validating user consent and action permissions.

Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling. That action addresses Code app use of Power Automate cloud flow instead. Calling a flow asynchronously does not guarantee its downstream actions committed before a UI success toast. For this case, the targeted action is: Connect a code app to an authorized Copilot Studio agent through a supported client interface while validating user consent and action permissions.

Use asynchronous Xrm.WebApi.retrieveMultipleRecords with encoded OData queries, selected columns, paging and proper error handling. That action addresses Dataverse Xrm.WebApi asynchronous lookups instead. Client API Web API operations are asynchronous and respect Dataverse security; querying every field is inefficient. For this case, the targeted action is: Connect a code app to an authorized Copilot Studio agent through a supported client interface while validating user consent and action permissions.

Compare host form lifecycle, accessibility, reuse, data access, application complexity and deployment requirements. These checks are relevant to Choosing client scripts PCF or code apps, but are not the most discriminating first evidence for this case. Inspect instead: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance. These checks are relevant to Standard versus virtual Dataverse tables, but are not the most discriminating first evidence for this case. Inspect instead: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

Inspect agent environment, authenticated action connector, knowledge scope, approval policy, human escalation and telemetry. These checks are relevant to Agent integration architecture using Copilot Studio, but are not the most discriminating first evidence for this case. Inspect instead: Inspect role privileges at access levels, ownership, team membership, row sharing, managed-environment policy and effective caller identity.

The agent reads authorized records and cannot modify a customer account through an undeclared or unapproved tool. This step belongs to Microsoft Foundry agent tool access via MCP servers rather than the complementary pair here. The required action is: Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications. And its evidence is: Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies.

Check execution stage, message, Target entity, attribute presence, filtering attributes and transaction log. This step belongs to Dataverse PreOperation Target changes rather than the complementary pair here. The required action is: Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications. And its evidence is: Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies.

Register required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve. This step belongs to Plug-in preimage postimage and filtering attributes rather than the complementary pair here. The required action is: Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications. And its evidence is: Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies.

The agent executes only permitted actions and produces traceable responses under the invoking user's entitlements. This result validates Agent integration architecture using Copilot Studio instead of the component in question. Here the specific acceptance check is: The custom agent and Power Platform app exchange only explicitly authorized structured requests and log outcomes.

The service accesses only approved rows and forbidden updates fail even when made through a direct Web API call. This result validates Least-privilege technical authorization design instead of the component in question. Here the specific acceptance check is: The custom agent and Power Platform app exchange only explicitly authorized structured requests and log outcomes.

The application reads the authoritative source while all required edits and security operations behave as documented. This result validates Standard versus virtual Dataverse tables instead of the component in question. Here the specific acceptance check is: The custom agent and Power Platform app exchange only explicitly authorized structured requests and log outcomes.

A failed operation can be traced from frontend error to server response without logging secrets or personal data. This result validates Code app Application Insights instrumentation 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 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 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 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 HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Inspect action statuses, timeout values, scope execution tree, compensating action and per-run correlation. These checks are relevant to Power Automate Scope run-after and failure handling, but are not the most discriminating first evidence for this case. Inspect instead: Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Inspect custom API uniqueness, bound/unbound setting, parameters, Execute privilege, registration and returned response shape. These checks are relevant to Dataverse custom API contract and plug-in execution, but are not the most discriminating first evidence for this case. Inspect instead: Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Use configured Dataverse table relationships and a business rule before adding a custom plug-in when requirements fit declarative capabilities. That action addresses Out-of-box table/form choice versus server extension instead. Code introduces deployment and maintenance overhead; client-only rules do not enforce server-side invariants. For this case, the targeted action is: Design a custom connector for an external REST capability and a Dataverse custom API for a supported reusable business operation inside Dataverse.

Use Power Platform Pipelines or supported Build Tools with connection/environment settings, solution checker and approvals to release repeatable artifacts. That action addresses Power Platform pipelines and CI deployment gates instead. CI/CD automates deploys but does not supply missing permissions, connection references or application acceptance tests. For this case, the targeted action is: Design a custom connector for an external REST capability and a Dataverse custom API for a supported reusable business operation inside Dataverse.

Keep related Dataverse tables, flows, connection references and plug-in registrations in a versioned solution and resolve dependencies before import. That action addresses Solution component dependency management instead. A flow in a solution still requires its connector references and dependent tables to be present in the target. For this case, the targeted action is: Design a custom connector for an external REST capability and a Dataverse custom API for a supported reusable business operation inside Dataverse.

Inspect trigger type, correlation ID, Dataverse service principal, function timeout, queue visibility and failed-message policy. This step belongs to Azure Functions for long-running Dataverse work rather than the complementary pair here. The required action is: For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing. And its evidence is: Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Each intended business interval processes the correct work without silently skipping or replaying chargeable operations. This step belongs to Azure Functions Timer and queue trigger controls rather than the complementary pair here. The required action is: For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing. And its evidence is: Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows. This step belongs to Dataverse OData Web API select filter and pagination rather than the complementary pair here. The required action is: For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing. And its evidence is: Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

The additional value is saved atomically with the original request without an extra update recursion. This result validates Dataverse PreOperation Target changes instead of the component in question. Here the specific acceptance check is: A record update yields one intended side effect even when another plug-in or flow touches the same row.

The operation succeeds using its intended identity and forbidden tables remain denied to that principal. This result validates OAuth delegated vs client credential in Dataverse instead of the component in question. Here the specific acceptance check is: A record update yields one intended side effect even when another plug-in or flow touches the same row.

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: A record update yields one intended side effect even when another plug-in or flow touches the same row.

Inspect agent ID, environment, session, identity, permitted tools, response handling and escalation flow. These checks are relevant to Code app consuming Copilot Studio agent, but are not the most discriminating first evidence for this case. Inspect instead: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

Inspect browser network errors, telemetry configuration, sampling, request correlation, exception events and user consent. These checks are relevant to Code app Application Insights instrumentation, but are not the most discriminating first evidence for this case. Inspect instead: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

Inspect build output, managed solution version, component registration, table field compatibility and app publication. These checks are relevant to Packaging and deploying PCF in solution, but are not the most discriminating first evidence for this case. Inspect instead: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

Transient throttling recovers without overwhelming Dataverse or creating duplicate rows. This result validates Dataverse API service-protection throttle retry instead of the component in question. Here the specific acceptance check is: An agent answer is attributable to current permitted records and does not expose inaccessible employee data.

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: An agent answer is attributable to current permitted records and does not expose inaccessible employee data.

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: An agent answer is attributable to current permitted records and does not expose inaccessible employee data.