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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.

Inspect assembly version, registered type, message filters, sandbox mode, image alias and effective solution layer. These checks are relevant to Plug-in Registration Tool and signed assembly deployment, but are not the most discriminating first evidence for this case. Inspect instead: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges. These checks are relevant to Dataverse OData Web API select filter and pagination, but are not the most discriminating first evidence for this case. Inspect instead: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

Check returned @odata.etag, match header, error on precondition failure and business conflict policy. These checks are relevant to Optimistic concurrency ETag If-Match, but are not the most discriminating first evidence for this case. Inspect instead: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

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 app remains responsive under realistic data sizes and subscriptions are removed when navigation changes.

Field behavior works across relevant forms without duplicate JavaScript and server constraints remain enforced separately. This result validates Form business rule versus custom client JavaScript instead of the component in question. Here the specific acceptance check is: The app remains responsive under realistic data sizes and subscriptions are removed when navigation changes.

Records are created or updated only in intended tables and table choices resolve to supported metadata values. This result validates Code app Dataverse metadata and table operations instead of the component in question. Here the specific acceptance check is: The app remains responsive under realistic data sizes and subscriptions are removed when navigation changes.

Expose Power Platform operations to Foundry agents using governed MCP servers and explicit tool schemas, permissions and audit traces. That action addresses Microsoft Foundry agent tool access via MCP servers instead. MCP advertises callable tools; their presence does not override Dataverse role-based authorization. For this case, the targeted action is: Use grouped Scopes, configure run-after branches for failure/timeout and record business state before notifying success.

Use a stable correlation/business key, durable receipt and bounded retry logic in Azure Functions consuming Power Platform events. That action addresses Azure Function idempotent integration recovery instead. At-least-once messages and function retries require idempotency at the actual business operation. For this case, the targeted action is: Use grouped Scopes, configure run-after branches for failure/timeout and record business state before notifying success.

Use a Dataverse connection authorized by a service principal/application user for unattended flows and configure controlled retries on transient errors. That action addresses Dataverse connector service principal and retry policies instead. A service principal with a connector connection still needs Dataverse security roles; retries should not duplicate business effects. For this case, the targeted action is: Use grouped Scopes, configure run-after branches for failure/timeout and record business state before notifying success.

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 event ID, durable dedup store, processing status, retry count, poison-message handling and reconciliation logs.

Inspect MCP tool descriptions, allowed identity, read/write separation, approval gates, payload validation and agent run logs. These checks are relevant to Microsoft Foundry agent tool access via MCP servers, but are not the most discriminating first evidence for this case. Inspect instead: Inspect event ID, durable dedup store, processing status, retry count, poison-message handling and reconciliation logs.

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 event ID, durable dedup store, processing status, retry count, poison-message handling and reconciliation logs.

Review active layer, publisher, managed property, patch versus upgrade, dependency and current component state. These checks are relevant to Managed solution layers and upgrade behavior, but are not the most discriminating first evidence for this case. Inspect instead: Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance.

Inspect requirement traceability, supported business-rule scope, cross-table validation needs, offline behavior and transaction boundaries. These checks are relevant to Out-of-box table/form choice versus server extension, but are not the most discriminating first evidence for this case. Inspect instead: Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance.

Inspect PAC CLI export/import steps, environment permissions, build logs, package version, preflight checks and postdeployment smoke tests. These checks are relevant to Power Platform pipelines and CI deployment gates, but are not the most discriminating first evidence for this case. Inspect instead: Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance.

Inspect message name, stage, execution context IsInTransaction, parent request, caller privileges and validation dependencies. These checks are relevant to Dataverse PreValidation plug-in and aborting operations, but are not the most discriminating first evidence for this case. Inspect instead: Inspect evaluator cases, tool traces, policy refusal tests, human approval status, error rates and rollback evidence.

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 evaluator cases, tool traces, policy refusal tests, human approval status, error rates and rollback evidence.

Check returned @odata.etag, match header, error on precondition failure and business conflict policy. These checks are relevant to Optimistic concurrency ETag If-Match, but are not the most discriminating first evidence for this case. Inspect instead: Inspect evaluator cases, tool traces, policy refusal tests, human approval status, error rates and rollback evidence.

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: Use asynchronous Xrm.WebApi.retrieveMultipleRecords with encoded OData queries, selected columns, paging and proper error handling. And its evidence is: Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically. This step belongs to OnChange handlers and loop prevention rather than the complementary pair here. The required action is: Use asynchronous Xrm.WebApi.retrieveMultipleRecords with encoded OData queries, selected columns, paging and proper error handling. And its evidence is: Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

Inspect build output, managed solution version, component registration, table field compatibility and app publication. This step belongs to Packaging and deploying PCF in solution rather than the complementary pair here. The required action is: Use asynchronous Xrm.WebApi.retrieveMultipleRecords with encoded OData queries, selected columns, paging and proper error handling. And its evidence is: Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

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

Inspect solution checker, missing components, dependent components, publisher ownership and deployment order. These checks are relevant to Solution component dependency management, but are not the most discriminating first evidence for this case. Inspect instead: Compare host form lifecycle, accessibility, reuse, data access, application complexity and deployment requirements.

Inspect client session diagnostics, plug-in trace logs, flow run IDs, app request headers, telemetry sampling and alert thresholds. These checks are relevant to Cross-service monitoring and alert design, but are not the most discriminating first evidence for this case. Inspect instead: Compare host form lifecycle, accessibility, reuse, data access, application complexity and deployment requirements.

Inspect environment-variable definition/default/current values, connection-reference binding, deployment settings and secret-storage policy. These checks are relevant to Environment variables and connection references, but are not the most discriminating first evidence for this case. Inspect instead: Inspect data location, required transaction participation, authentication type, operation contract, caller scope and rate limits.

Inspect PAC CLI export/import steps, environment permissions, build logs, package version, preflight checks and postdeployment smoke tests. These checks are relevant to Power Platform pipelines and CI deployment gates, but are not the most discriminating first evidence for this case. Inspect instead: Inspect data location, required transaction participation, authentication type, operation contract, caller scope and rate limits.

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 data location, required transaction participation, authentication type, operation contract, caller scope and rate limits.

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.