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Inspect data connection, access control, relevance filters, record freshness, approved tools and response trace. This step belongs to Work IQ grounded Dataverse access for agents rather than the complementary pair here. The required action is: Move long-running operations to background processing with correlation and safe retries rather than forcing synchronous UI requests to remain open. And its evidence is: Inspect asynchronous request state, queue work item ID, job timeout, concurrency limits and idempotent completion marker.

The notification references the committed entity identifier without unnecessarily extending an interactive database transaction. This step belongs to Dataverse PostOperation plug-in and after-save evidence rather than the complementary pair here. The required action is: Move long-running operations to background processing with correlation and safe retries rather than forcing synchronous UI requests to remain open. And its evidence is: Inspect asynchronous request state, queue work item ID, job timeout, concurrency limits and idempotent completion marker.

Use expressions such as coalesce, empty, formatDateTime and guarded JSON parsing with explicit type assumptions. This step belongs to Power Automate expressions null coalesce and safe parsing rather than the complementary pair here. The required action is: Move long-running operations to background processing with correlation and safe retries rather than forcing synchronous UI requests to remain open. And its evidence is: Inspect asynchronous request state, queue work item ID, job timeout, concurrency limits and idempotent completion marker.

Power Apps and flows call the function with stable typed payloads and receive normalized responses without brittle client parsing. This result validates Azure Function-backed connector transformation instead of the component in question. Here the specific acceptance check is: Callers authenticate through the intended identity and connector policies modify only approved request fields.

The connector surfaces callable typed actions that send valid requests to the intended backend. This result validates Custom connector OpenAPI and operation identifiers instead of the component in question. Here the specific acceptance check is: Callers authenticate through the intended identity and connector policies modify only approved request fields.

An incremental sync catches updates and deletions without rescanning every row or missing changes during paging. This result validates Dataverse change tracking incremental synchronization instead of the component in question. Here the specific acceptance check is: Callers authenticate through the intended identity and connector policies modify only approved request fields.

Configure timer or queue triggers with schedule, delivery guarantees, failure behavior and concurrency suited to the Power Platform job. That action addresses Azure Functions Timer and queue trigger controls instead. Queue-trigger delivery can be repeated; timer schedule state and host execution require monitoring. For this case, the targeted action is: Register a signed plug-in assembly, target message, step mode/stage and image configuration with supported tooling and deploy it in a solution.

Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications. That action addresses Dataverse PostOperation plug-in and after-save evidence instead. A synchronous PostOperation plug-in may still be part of the transaction; after stage does not imply safely decoupled I/O. For this case, the targeted action is: Register a signed plug-in assembly, target message, step mode/stage and image configuration with supported tooling and deploy it in a solution.

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: Register a signed plug-in assembly, target message, step mode/stage and image configuration with supported tooling and deploy it in a solution.

Inspect flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging. These checks are relevant to Secure inputs outputs Key Vault and secret handling, but are not the most discriminating first evidence for this case. Inspect instead: Inspect parent action, child trigger type, solution membership, connection references and caller permissions.

Inspect event ID, durable dedup store, processing status, retry count, poison-message handling and reconciliation logs. These checks are relevant to Azure Function idempotent integration recovery, but are not the most discriminating first evidence for this case. Inspect instead: Inspect parent action, child trigger type, solution membership, connection references and caller permissions.

Inspect token audience/scopes, app registration, app-user Dataverse role, expiration and token cache security. These checks are relevant to OAuth delegated vs client credential in Dataverse, but are not the most discriminating first evidence for this case. Inspect instead: Inspect parent action, child trigger type, solution membership, connection references and caller permissions.

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: Design webhook and broker consumers for at-least-once delivery with stable event IDs, deduplication, correlation and durable failure recovery.

Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. That action addresses Dataverse UpsertRequest idempotent load instead. An upsert uses an identity key; it does not automatically validate every business rule or reconcile conflicting systems of record. For this case, the targeted action is: Design webhook and broker consumers for at-least-once delivery with stable event IDs, deduplication, correlation and durable failure recovery.

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: Design webhook and broker consumers for at-least-once delivery with stable event IDs, deduplication, correlation and durable failure recovery.

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. That action addresses Standard versus virtual Dataverse tables instead. Virtual tables surface external data but do not automatically inherit every capability of Dataverse-stored tables. For this case, the targeted action is: Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed.

Design a custom connector for an external REST capability and a Dataverse custom API for a supported reusable business operation inside Dataverse. That action addresses Custom connector boundary versus plug-in endpoint instead. A connector exposes external services while a custom API defines a Dataverse operation; they are not interchangeable transaction models. For this case, the targeted action is: Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed.

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: Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed.

Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency. This step belongs to Dataverse UpsertRequest idempotent load rather than the complementary pair here. The required action is: Register a supported Dataverse webhook service endpoint with secure HTTP endpoint and a verified listener contract. And its evidence is: Inspect registration tool endpoint URL, authentication method, execution mode, delivery logs and returned status codes.

The connector surfaces callable typed actions that send valid requests to the intended backend. This step belongs to Custom connector OpenAPI and operation identifiers rather than the complementary pair here. The required action is: Register a supported Dataverse webhook service endpoint with secure HTTP endpoint and a verified listener contract. And its evidence is: Inspect registration tool endpoint URL, authentication method, execution mode, delivery logs and returned status codes.

Choose Service Bus for enterprise queued commands/durable message handling and Event Hub for high-throughput event streaming when the consumer pattern warrants it. This step belongs to Azure Service Bus and Event Hub endpoint selection rather than the complementary pair here. The required action is: Register a supported Dataverse webhook service endpoint with secure HTTP endpoint and a verified listener contract. And its evidence is: Inspect registration tool endpoint URL, authentication method, execution mode, delivery logs and returned status codes.

The component degrades predictably on an unsupported host without exposing data or crashing. This result validates PCF WebAPI Device and Utility usage instead of the component in question. Here the specific acceptance check is: The app displays agent results with attributable tool calls and blocks unauthorized record writes.

The code app uses supported connections in both test and production without exposing shared secrets in client JavaScript. This result validates Power Apps code app connectors and environment binding instead of the component in question. Here the specific acceptance check is: The app displays agent results with attributable tool calls and blocks unauthorized record writes.

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: The app displays agent results with attributable tool calls and blocks unauthorized record writes.

Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically. That action addresses OnChange handlers and loop prevention instead. Setting an attribute value does not always trigger OnChange automatically; explicit event invocation can create loops. For this case, the targeted action is: Read environment variables via supported Power Platform mechanism and keep endpoints, feature flags and tenant configuration separate from code.

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: Read environment variables via supported Power Platform mechanism and keep endpoints, feature flags and tenant configuration separate from code.

Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset. That action addresses Packaging and deploying PCF in solution instead. A successful npm build is not equivalent to deploying and configuring a PCF in the target environment. For this case, the targeted action is: Read environment variables via supported Power Platform mechanism and keep endpoints, feature flags and tenant configuration separate from code.

Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications. This step belongs to Dataverse PostOperation plug-in and after-save evidence rather than the complementary pair here. The required action is: Register required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve. And its evidence is: Review registered image aliases, selected image columns, Target presence, MessageName and filtering attributes.

A replay processes a business event once and failed deliveries remain diagnosable without deleting already committed changes. This step belongs to Azure Function idempotent integration recovery rather than the complementary pair here. The required action is: Register required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve. And its evidence is: Review registered image aliases, selected image columns, Target presence, MessageName and filtering attributes.

Inspect token audience/scopes, app registration, app-user Dataverse role, expiration and token cache security. This step belongs to OAuth delegated vs client credential in Dataverse rather than the complementary pair here. The required action is: Register required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve. And its evidence is: Review registered image aliases, selected image columns, Target presence, MessageName and filtering attributes.

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 a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation. And its evidence is: Inspect environment and agent IDs, user auth, session lifecycle, tool event handling, response streaming and retries.

The notification references the committed entity identifier without unnecessarily extending an interactive database transaction. This step belongs to Dataverse PostOperation plug-in and after-save evidence rather than the complementary pair here. The required action is: Use a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation. And its evidence is: Inspect environment and agent IDs, user auth, session lifecycle, tool event handling, response streaming and retries.

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 a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation. And its evidence is: Inspect environment and agent IDs, user auth, session lifecycle, tool event handling, response streaming and retries.