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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 output parameters, stage, post image configuration, async mode, transaction state and external dependencies.

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 output parameters, stage, post image configuration, async mode, transaction state and external dependencies.

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 output parameters, stage, post image configuration, async mode, transaction state and external dependencies.

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: Declare bound/input properties and resource files correctly in ControlManifest.Input.xml and align TypeScript output shapes with metadata.

Use Application Insights telemetry with correlation IDs and privacy-safe fields to monitor code-app failures and end-to-end calls. That action addresses Code app Application Insights instrumentation instead. Telemetry needs context and privacy controls; a page-view count cannot diagnose specific failed API calls. For this case, the targeted action is: Declare bound/input properties and resource files correctly in ControlManifest.Input.xml and align TypeScript output shapes with metadata.

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: Declare bound/input properties and resource files correctly in ControlManifest.Input.xml and align TypeScript output shapes with metadata.

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 runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.

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: Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.

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: Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.

Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy. These checks are relevant to Microsoft Foundry versus Power Platform agent boundary, but are not the most discriminating first evidence for this case. Inspect instead: Inspect PAC CLI export/import steps, environment permissions, build logs, package version, preflight checks and postdeployment smoke tests.

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: Inspect PAC CLI export/import steps, environment permissions, build logs, package version, preflight checks and postdeployment smoke tests.

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 PAC CLI export/import steps, environment permissions, build logs, package version, preflight checks and postdeployment smoke tests.

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: Long-running processing completes independently of the initiating save and reports its final status later.

A function retrieves only authorized Dataverse rows without shipping plaintext client secrets in configuration. This result validates Managed identity Azure Function to Dataverse instead of the component in question. Here the specific acceptance check is: Long-running processing completes independently of the initiating save and reports its final status later.

The handler reliably detects a value transition even when the incoming Update contains only changed columns. This result validates Plug-in preimage postimage and filtering attributes instead of the component in question. Here the specific acceptance check is: Long-running processing completes independently of the initiating save and reports its final status later.

Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records. That action addresses Work IQ grounded Dataverse access for agents instead. Grounded search and tool access are not equivalent to blanket read rights across every table. For this case, the targeted action is: Use secure inputs/outputs where needed, Azure Key Vault for governed secrets and least-privilege connections in Power Automate.

Design plug-in logic that avoids self-triggering Update loops and guard against repeated processing with idempotent business conditions. That action addresses Plug-in recursion depth and idempotent registration instead. Blocking all depth greater than one can suppress legitimate nested operations; fix the causative loop and design safe checks. For this case, the targeted action is: Use secure inputs/outputs where needed, Azure Key Vault for governed secrets and least-privilege connections in Power Automate.

In a synchronous PreOperation plug-in modify the Target attributes directly when a field can be set within the transaction instead of issuing a second Update. That action addresses Dataverse PreOperation Target changes instead. Mutating Target before the core operation differs from performing a follow-up update in PostOperation. For this case, the targeted action is: Use secure inputs/outputs where needed, Azure Key Vault for governed secrets and least-privilege connections in Power Automate.

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 solution environment variables for per-environment configuration and connection references for connector bindings, rather than hardcoded identifiers or secrets.

Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed. That action addresses Microsoft Foundry versus Power Platform agent boundary instead. Choosing Foundry for orchestration does not bypass Copilot Studio or Dataverse data governance. For this case, the targeted action is: Use solution environment variables for per-environment configuration and connection references for connector bindings, rather than hardcoded identifiers or secrets.

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: Use solution environment variables for per-environment configuration and connection references for connector bindings, rather than hardcoded identifiers or secrets.

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 a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation.

Use child flows inside solutions to share reusable logic with declared inputs, outputs and correct run-only connection behavior. That action addresses Child flows and solution connection references instead. An arbitrary standalone flow cannot always be used directly as a solution child flow without the correct trigger and context. For this case, the targeted action is: Use a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation.

Use delegated OAuth for a signed-in user's work and client credentials with a constrained application user for unattended integration. That action addresses OAuth delegated vs client credential in Dataverse instead. A valid Microsoft Entra token does not grant Dataverse table privileges without application-user role assignment. For this case, the targeted action is: Use a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation.

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 key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Inspect authorization URL, scopes, redirect URI, token audience, policy template rules and deployment connection references. These checks are relevant to Custom connector OAuth and policy templates, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Inspect Swagger/OpenAPI version, base URL, parameter types, request/response schema and missing operation IDs. These checks are relevant to Custom connector OpenAPI and operation identifiers, but are not the most discriminating first evidence for this case. Inspect instead: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Move long-running operations to background processing with correlation and safe retries rather than forcing synchronous UI requests to remain open. This step belongs to Asynchronous background operations and safe batching rather than the complementary pair here. The required action is: Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload. And its evidence is: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

Long-running processing completes independently of the initiating save and reports its final status later. This step belongs to Azure Functions for long-running Dataverse work rather than the complementary pair here. The required action is: Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload. And its evidence is: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

Inspect execution depth, parent context, plugin registration stages, update attributes and processing marker. This step belongs to Plug-in recursion depth and idempotent registration rather than the complementary pair here. The required action is: Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload. And its evidence is: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

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: Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization.

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: Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization.

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: Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization.