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Publish Dataverse operation events to an approved endpoint using supported execution context and IOrganizationService or service endpoint integration contracts. This step belongs to Dataverse IServiceEndpointNotificationService event publish 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.

Inspect Function authentication, request/response mapping, OpenAPI action, error status, timeout and log correlation. This step belongs to Azure Function-backed connector transformation 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.

Two systems identify the same business record by stable external key without depending on environment-specific GUIDs. This step belongs to Alternate keys for external 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.

Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs. This step belongs to Dataverse IServiceEndpointNotificationService event publish rather than the complementary pair here. The required action is: Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows. And its evidence is: Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.

Use durable checkpoints, conflict detection and explicit deletion reconciliation to keep external systems consistent with Dataverse. This step belongs to Incremental sync conflict and deletion recovery rather than the complementary pair here. The required action is: Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows. And its evidence is: Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.

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: Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows. And its evidence is: Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.

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: Configure allowed origins for scripts, styles, connections and frames according to the code app CSP rather than setting a permissive wildcard.

Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. That action addresses Command bar Power Fx and JavaScript rules instead. A hidden command is a UX convenience, not a security control for direct API access. For this case, the targeted action is: Configure allowed origins for scripts, styles, connections and frames according to the code app CSP rather than setting a permissive wildcard.

Avoid redundant network calls, unnecessary re-rendering and leaked listeners; use pagination, memoization and cleanup when appropriate. That action addresses Code app render performance and resource cleanup instead. More client-side code and data preloading are not always faster than a filtered delegated server query. For this case, the targeted action is: Configure allowed origins for scripts, styles, connections and frames according to the code app CSP rather than setting a permissive wildcard.

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.

A blocked quality gate prevents production import while an approved release is traceable to a specific package hash. This result validates Power Platform pipelines and CI deployment gates 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.

Inspect key definition state, source identifier uniqueness, case handling, composite columns and existing duplicate rows. These checks are relevant to Alternate keys for external identifiers, but are not the most discriminating first evidence for this case. Inspect instead: Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint.

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 source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint.

Inspect ordering needs, delivery guarantees, subscriber model, retry/dead letter, throughput and data contract. These checks are relevant to Azure Service Bus and Event Hub endpoint selection, but are not the most discriminating first evidence for this case. Inspect instead: Inspect source authoritative field, version/ETag, deleted marker, reprocessing window and recovery checkpoint.

The handler reliably detects a value transition even when the incoming Update contains only changed columns. This step belongs to Plug-in preimage postimage and filtering attributes rather than the complementary pair here. The required action is: Use secure inputs/outputs where needed, Azure Key Vault for governed secrets and least-privilege connections in Power Automate. And its evidence is: Inspect flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging.

Use PreValidation for early validation outside the main database transaction where appropriate and throw InvalidPluginExecutionException for unsupported operations. This step belongs to Dataverse PreValidation plug-in and aborting operations rather than the complementary pair here. The required action is: Use secure inputs/outputs where needed, Azure Key Vault for governed secrets and least-privilege connections in Power Automate. And its evidence is: Inspect flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging.

Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior. This step belongs to Foundry to Copilot Studio agent orchestration rather than the complementary pair here. The required action is: Use secure inputs/outputs where needed, Azure Key Vault for governed secrets and least-privilege connections in Power Automate. And its evidence is: Inspect flow run-history exposure, connector permissions, secret rotation, Key Vault policy and accidental logging.

Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. That action addresses Command bar Power Fx and JavaScript rules instead. A hidden command is a UX convenience, not a security control for direct API access. For this case, the targeted action is: Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset.

Build dataset PCF components that use provided paging, sorting and selection APIs rather than assuming all rows are loaded. That action addresses PCF dataset paging and selection behavior instead. Data-set PCF hosts may supply paged data; a single loaded page is not a complete table. For this case, the targeted action is: Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset.

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: Package PCF through supported tooling, include built assets in a solution and bind the component to the intended column or dataset.

Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies. This step belongs to Dataverse PostOperation plug-in and after-save evidence rather than the complementary pair here. The required action is: Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. And its evidence is: Check identity registration, target resource audience, cloud tenant, scoped service role, event contract and telemetry.

Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation. This step belongs to Dataverse custom API contract and plug-in execution rather than the complementary pair here. The required action is: Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. And its evidence is: Check identity registration, target resource audience, cloud tenant, scoped service role, event contract and telemetry.

Optional fields do not crash the run and required dates or numbers are validated before updates. This step belongs to Power Automate expressions null coalesce and safe parsing rather than the complementary pair here. The required action is: Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. And its evidence is: Check identity registration, target resource audience, cloud tenant, scoped service role, event contract and telemetry.

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: Operations staff can trace a failing user request across components without exposing customer personal data.

Callers reach the intended business operation through a stable contract with its security boundary explicit. This result validates Custom connector boundary versus plug-in endpoint instead of the component in question. Here the specific acceptance check is: Operations staff can trace a failing user request across components without exposing customer personal data.

The same solution promotes through dev and prod without embedded environment URLs or personal-user connections. This result validates Environment variables and connection references instead of the component in question. Here the specific acceptance check is: Operations staff can trace a failing user request across components without exposing customer personal data.

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 managed solutions with controlled upgrades and inspect component layers to understand why a target customization overrides a release.

Choose model-driven JavaScript for form interaction, PCF for reusable field/dataset controls, and code apps for a broader custom React-based experience. That action addresses Choosing client scripts PCF or code apps instead. A PCF control is a hosted component rather than a standalone app, while scripts target the model-driven Client API. For this case, the targeted action is: Use managed solutions with controlled upgrades and inspect component layers to understand why a target customization overrides a release.

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 managed solutions with controlled upgrades and inspect component layers to understand why a target customization overrides a release.

Inspect evaluator cases, tool traces, policy refusal tests, human approval status, error rates and rollback evidence. These checks are relevant to Agent evaluation and human approval for side effects, but are not the most discriminating first evidence for this case. Inspect instead: Inspect environment and agent IDs, user auth, session lifecycle, tool event handling, response streaming and retries.

Inspect data connection, access control, relevance filters, record freshness, approved tools and response trace. These checks are relevant to Work IQ grounded Dataverse access for agents, but are not the most discriminating first evidence for this case. Inspect instead: Inspect environment and agent IDs, user auth, session lifecycle, tool event handling, response streaming and retries.

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 environment and agent IDs, user auth, session lifecycle, tool event handling, response streaming and retries.