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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 service accesses only approved rows and forbidden updates fail even when made through a direct Web API call.

Large event volumes meet latency and retention targets without relying on unsupported elastic-table semantics. This result validates Elastic table and high-volume data pattern instead of the component in question. Here the specific acceptance check is: The service accesses only approved rows and forbidden updates fail even when made through a direct Web API call.

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: The service accesses only approved rows and forbidden updates fail even when made through a direct Web API call.

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: Check returned @odata.etag, match header, error on precondition failure and business conflict policy.

Inspect trigger type, filtering attributes, change type, OData row filter, trigger condition and run history. These checks are relevant to Power Automate Dataverse trigger filter columns and OData, but are not the most discriminating first evidence for this case. Inspect instead: Check returned @odata.etag, match header, error on precondition failure and business conflict policy.

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: Check returned @odata.etag, match header, error on precondition failure and business conflict policy.

Use asynchronous Xrm.WebApi.retrieveMultipleRecords with encoded OData queries, selected columns, paging and proper error handling. That action addresses Dataverse Xrm.WebApi asynchronous lookups instead. Client API Web API operations are asynchronous and respect Dataverse security; querying every field is inefficient. For this case, the targeted action is: Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically.

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: Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically.

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: Register OnChange handlers once, target supported events and prevent event-recursion when setting attribute values programmatically.

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 HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Check identity registration, target resource audience, cloud tenant, scoped service role, event contract and telemetry. These checks are relevant to Plug-in managed identity and business events, but are not the most discriminating first evidence for this case. Inspect instead: Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

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 HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.

Inspect console stack traces, browser network requests, response statuses, connector run history and request correlation IDs. These checks are relevant to Code app Monitor and browser troubleshooting, but are not the most discriminating first evidence for this case. Inspect instead: Compare available business-rule scopes, related-row access, API restrictions, field change triggers and testability.

Inspect manifest features, host capabilities, API permissions, dataset type and PCF solution lifecycle. These checks are relevant to PCF WebAPI Device and Utility usage, but are not the most discriminating first evidence for this case. Inspect instead: Compare available business-rule scopes, related-row access, API restrictions, field change triggers and testability.

Inspect selected connection ID, connector operation, signed-in user's rights, environment binding and app host context. These checks are relevant to Power Apps code app connectors and environment binding, but are not the most discriminating first evidence for this case. Inspect instead: Compare available business-rule scopes, related-row access, API restrictions, field change triggers and testability.

Design webhook and broker consumers for at-least-once delivery with stable event IDs, deduplication, correlation and durable failure recovery. That action addresses Dataverse event endpoint deduplication and retry instead. A publisher successfully sending an event does not imply downstream idempotent processing or business success. For this case, the targeted action is: Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows.

Define a supported OpenAPI contract with stable operationIds, schemas, types and authentication before importing a custom connector. That action addresses Custom connector OpenAPI and operation identifiers instead. A REST endpoint existing does not mean its OpenAPI contract describes the required payload or result. For this case, the targeted action is: Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows.

Publish Dataverse operation events to an approved endpoint using supported execution context and IOrganizationService or service endpoint integration contracts. That action addresses Dataverse IServiceEndpointNotificationService event publish instead. Event publication timing and transaction boundaries require care; a queued event is not proof a consumer processed it. For this case, the targeted action is: Enable change tracking for eligible Dataverse tables and persist the returned continuation token to sync only changed and deleted rows.

Review browser CSP violation logs, required identity endpoints, connector hosts, unsafe-inline usage and approved headers. These checks are relevant to Code app Content Security Policy configuration, but are not the most discriminating first evidence for this case. Inspect instead: Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

Inspect package version, environment, target app sharing, connection references, managed solution components and postdeploy tests. These checks are relevant to Code app packaging sharing and deployment, but are not the most discriminating first evidence for this case. Inspect instead: Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

Inspect render counts, API request volume, bundle size, memory usage, stale closures and page-size defaults. These checks are relevant to Code app render performance and resource cleanup, but are not the most discriminating first evidence for this case. Inspect instead: Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

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: Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context.

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: Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context.

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: Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context.

Inspect control manifest property of-type, usage, component namespace, platform libraries and compiled resource paths. These checks are relevant to PCF ControlManifest inputs and resources, but are not the most discriminating first evidence for this case. Inspect instead: Inspect browser network errors, telemetry configuration, sampling, request correlation, exception events and user consent.

Inspect event handler properties, passExecutionContext setting, formContext acquisition, loaded form attributes and handler scope. These checks are relevant to Model-driven formContext from execution context, but are not the most discriminating first evidence for this case. Inspect instead: Inspect browser network errors, telemetry configuration, sampling, request correlation, exception events and user consent.

Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role. These checks are relevant to Command bar Power Fx and JavaScript rules, but are not the most discriminating first evidence for this case. Inspect instead: Inspect browser network errors, telemetry configuration, sampling, request correlation, exception events and user consent.

Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. That action addresses Least-privilege technical authorization design instead. UI hiding and a valid OAuth token alone do not establish Dataverse record authorization. For this case, the targeted action is: 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.

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: 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.

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: 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.

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 application reads the authoritative source while all required edits and security operations behave as documented.

The service accesses only approved rows and forbidden updates fail even when made through a direct Web API call. This result validates Least-privilege technical authorization design instead of the component in question. Here the specific acceptance check is: The application reads the authoritative source while all required edits and security operations behave as documented.

The UX extension runs in its intended host, remains maintainable and respects platform permissions. This result validates Choosing client scripts PCF or code apps instead of the component in question. Here the specific acceptance check is: The application reads the authoritative source while all required edits and security operations behave as documented.