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The app remains responsive under realistic data sizes and subscriptions are removed when navigation changes. This step belongs to Code app render performance and resource cleanup rather than the complementary pair here. The required action is: Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically. And its evidence is: Check handler registration, setValue calls, fireOnChange usage, event order, duplicate registration and execution depth.

Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. This step belongs to Command bar Power Fx and JavaScript rules rather than the complementary pair here. The required action is: Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically. And its evidence is: Check handler registration, setValue calls, fireOnChange usage, event order, duplicate registration and execution depth.

Inspect console stack traces, browser network requests, response statuses, connector run history and request correlation IDs. This step belongs to Code app Monitor and browser troubleshooting rather than the complementary pair here. The required action is: Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically. And its evidence is: Check handler registration, setValue calls, fireOnChange usage, event order, duplicate registration and execution depth.

An integration retrieves each authorized matching row exactly once with bounded response size and predictable paging. This result validates Dataverse OData Web API select filter and pagination instead of the component in question. Here the specific acceptance check is: The unattended flow continues after an employee leaves and fails safely on permission or data errors.

Only relevant table changes start the flow and a self-update does not cause unbounded reentry. This result validates Power Automate Dataverse trigger filter columns and OData instead of the component in question. Here the specific acceptance check is: The unattended flow continues after an employee leaves and fails safely on permission or data errors.

The C# extension updates only intended Dataverse attributes while surfacing actionable service faults. This result validates Dataverse Organization Service SDK operations instead of the component in question. Here the specific acceptance check is: The unattended flow continues after an employee leaves and fails safely on permission or data errors.

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.

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

Compare data throughput, TTL, partition strategy, supported relationship behavior and required plug-in or query features. These checks are relevant to Elastic table and high-volume data pattern, 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 cron schedule timezone, trigger binding, retry policy, poison queue, idempotent key and host instance scaling. These checks are relevant to Azure Functions Timer and queue trigger controls, but are not the most discriminating first evidence for this case. Inspect instead: Inspect identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage.

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 identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage.

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 identity object ID, token audience, Dataverse app user, table privileges, role assignments and secret usage.

Authenticate Azure Functions through an eligible managed identity or governed service principal with Dataverse application-user roles. That action addresses Managed identity Azure Function to Dataverse instead. Managed identity is a token mechanism, not proof the target Dataverse application user has privileges. For this case, the targeted action is: Register required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve.

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 required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve.

Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes. That action addresses Agent evaluation and human approval for side effects instead. LLM reasoning is probabilistic; prompt-only prohibitions are not a substitute for enforced tool permissions. For this case, the targeted action is: Register required pre/post entity images and filtering attributes to compare only relevant changes without an extra retrieve.

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 Power Platform Pipelines or supported Build Tools with connection/environment settings, solution checker and approvals to release repeatable artifacts.

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 Power Platform Pipelines or supported Build Tools with connection/environment settings, solution checker and approvals to release repeatable artifacts.

Evaluate an elastic table for high-volume partitioned Dataverse workloads only after confirming partition keys, feature limits and transactional requirements. That action addresses Elastic table and high-volume data pattern instead. Elastic tables differ from standard tables; their scale benefits do not eliminate data-model and partition tradeoffs. For this case, the targeted action is: Use Power Platform Pipelines or supported Build Tools with connection/environment settings, solution checker and approvals to release repeatable artifacts.

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: For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing.

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: For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing.

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: For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing.

An integration retrieves each authorized matching row exactly once with bounded response size and predictable paging. This result validates Dataverse OData Web API select filter and pagination instead of the component in question. Here the specific acceptance check is: The agent reads authorized records and cannot modify a customer account through an undeclared or unapproved tool.

Unexpected instructions are refused and sensitive updates occur only with recorded authorization and verification. This result validates Agent evaluation and human approval for side effects instead of the component in question. Here the specific acceptance check is: The agent reads authorized records and cannot modify a customer account through an undeclared or unapproved tool.

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: The agent reads authorized records and cannot modify a customer account through an undeclared or unapproved tool.

Inspect requirement traceability, supported business-rule scope, cross-table validation needs, offline behavior and transaction boundaries. This step belongs to Out-of-box table/form choice versus server extension rather than the complementary pair here. The required action is: Select Copilot Studio for an agent integrated into Power Platform and define governed actions, identity, channels and Dataverse access before adding external models. And its evidence is: Inspect agent environment, authenticated action connector, knowledge scope, approval policy, human escalation and telemetry.

Design a custom connector for an external REST capability and a Dataverse custom API for a supported reusable business operation inside Dataverse. This step belongs to Custom connector boundary versus plug-in endpoint rather than the complementary pair here. The required action is: Select Copilot Studio for an agent integrated into Power Platform and define governed actions, identity, channels and Dataverse access before adding external models. And its evidence is: Inspect agent environment, authenticated action connector, knowledge scope, approval policy, human escalation and telemetry.

A deployment changes only the intended solution layer and the previous customization is recoverable. This step belongs to Managed solution layers and upgrade behavior rather than the complementary pair here. The required action is: Select Copilot Studio for an agent integrated into Power Platform and define governed actions, identity, channels and Dataverse access before adding external models. And its evidence is: Inspect agent environment, authenticated action connector, knowledge scope, approval policy, human escalation and telemetry.

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

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

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

Build dataset PCF components that use provided paging, sorting and selection APIs rather than assuming all rows are loaded. This step belongs to PCF dataset paging and selection behavior rather than the complementary pair here. The required action is: Use PCF context.webAPI, device and utility features only where supported by the intended host; fall back gracefully when unavailable. And its evidence is: Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle.

Inspect control manifest property of-type, usage, component namespace, platform libraries and compiled resource paths. This step belongs to PCF ControlManifest inputs and resources rather than the complementary pair here. The required action is: Use PCF context.webAPI, device and utility features only where supported by the intended host; fall back gracefully when unavailable. And its evidence is: Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle.

The code app loads necessary resources under restrictive policy and blocks unauthorized third-party script execution. This step belongs to Code app Content Security Policy configuration rather than the complementary pair here. The required action is: Use PCF context.webAPI, device and utility features only where supported by the intended host; fall back gracefully when unavailable. And its evidence is: Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle.