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The code app loads necessary resources under restrictive policy and blocks unauthorized third-party script execution. This result validates Code app Content Security Policy configuration instead of the component in question. Here the specific acceptance check is: Field behavior works across relevant forms without duplicate JavaScript and server constraints remain enforced separately.

The code app uses supported connections in both test and production without exposing shared secrets in client JavaScript. This result validates Power Apps code app connectors and environment binding instead of the component in question. Here the specific acceptance check is: Field behavior works across relevant forms without duplicate JavaScript and server constraints remain enforced separately.

A component propagates intentional changes once and removes handlers/timers when destroyed or navigated away. This result validates PCF lifecycle methods and output notification instead of the component in question. Here the specific acceptance check is: Field behavior works across relevant forms without duplicate JavaScript and server constraints remain enforced separately.

Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload. That action addresses ExecuteMultiple transactions and batch scope instead. OData $batch requests are not automatically one atomic database transaction; a change set and service semantics matter. For this case, the targeted action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation.

Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts. That action addresses Plug-in managed identity and business events instead. Managed identities reduce secret management but do not grant target resource permissions automatically. For this case, the targeted action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation.

Register a signed plug-in assembly, target message, step mode/stage and image configuration with supported tooling and deploy it in a solution. That action addresses Plug-in Registration Tool and signed assembly deployment instead. Publishing a DLL without a registered step does not automatically attach code to Dataverse messages. For this case, the targeted action is: Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation.

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 authorization URL, scopes, redirect URI, token audience, policy template rules and deployment connection references.

Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation. These checks are relevant to Dataverse change tracking incremental synchronization, but are not the most discriminating first evidence for this case. Inspect instead: Inspect authorization URL, scopes, redirect URI, token audience, policy template rules and deployment connection references.

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

Operations staff can trace a failing user request across components without exposing customer personal data. This step belongs to Cross-service monitoring and alert design rather than the complementary pair here. The required action is: Use configured Dataverse table relationships and a business rule before adding a custom plug-in when requirements fit declarative capabilities. And its evidence is: Inspect requirement traceability, supported business-rule scope, cross-table validation needs, offline behavior and transaction boundaries.

Compare data throughput, TTL, partition strategy, supported relationship behavior and required plug-in or query features. This step belongs to Elastic table and high-volume data pattern rather than the complementary pair here. The required action is: Use configured Dataverse table relationships and a business rule before adding a custom plug-in when requirements fit declarative capabilities. And its evidence is: Inspect requirement traceability, supported business-rule scope, cross-table validation needs, offline behavior and transaction boundaries.

Apply Dataverse security roles, teams and business-unit ownership plus application-user permissions to authorize the component at the correct data scope. This step belongs to Least-privilege technical authorization design rather than the complementary pair here. The required action is: Use configured Dataverse table relationships and a business rule before adding a custom plug-in when requirements fit declarative capabilities. And its evidence is: Inspect requirement traceability, supported business-rule scope, cross-table validation needs, offline behavior and transaction boundaries.

Use IOrganizationService Retrieve/Update/ExecuteRequest operations from a supported server-side context and handle typed Entity logical names. That action addresses Dataverse Organization Service SDK operations instead. The Organization service runs against Dataverse business rules and caller permissions; object assignments are not yet persisted updates. For this case, the targeted action is: Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications.

Define a Dataverse custom API with request/response properties, allowed caller, binding type and registered plug-in implementation. That action addresses Dataverse custom API contract and plug-in execution instead. A custom API defines a formal operation; creating only a plug-in assembly does not expose the message contract. For this case, the targeted action is: Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications.

Use Azure Functions to offload expensive work from synchronous Dataverse plug-ins while authenticating separately and tracking completion. That action addresses Azure Functions for long-running Dataverse work instead. Function execution is not automatically atomic with the Dataverse operation that queued it. For this case, the targeted action is: Use PostOperation for logic requiring the persisted record identifier or post image, and select asynchronous execution for slow external notifications.

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: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records.

For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing. That action addresses Dataverse API service-protection throttle retry instead. Rapid blind retries can amplify platform throttling; not every 4xx error is transient. For this case, the targeted action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records.

Use a supported Copilot Studio client library to invoke agents from app code while handling sessions, authorization, response events and cancellation. That action addresses Copilot Studio client library consumption instead. Agent sessions can carry context across turns; code must bind sessions to the correct caller and lifetime. For this case, the targeted action is: Use the supported Work IQ and Dataverse integration context to ground agent responses in accessible enterprise data, with least privilege and citation to records.

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: A record update yields one intended side effect even when another plug-in or flow touches the same row.

External calls obtain short-lived authorized credentials without embedded client secrets and generate attributable events. This result validates Plug-in managed identity and business events instead of the component in question. Here the specific acceptance check is: A record update yields one intended side effect even when another plug-in or flow touches the same row.

The intended event invokes the correct step exactly once in test and production with traceable package identity. This result validates Plug-in Registration Tool and signed assembly deployment instead of the component in question. Here the specific acceptance check is: A record update yields one intended side effect even when another plug-in or flow touches the same row.

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: Publish Dataverse operation events to an approved endpoint using supported execution context and IOrganizationService or service endpoint integration contracts. And its evidence is: Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs.

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: Publish Dataverse operation events to an approved endpoint using supported execution context and IOrganizationService or service endpoint integration contracts. And its evidence is: Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs.

Design webhook and broker consumers for at-least-once delivery with stable event IDs, deduplication, correlation and durable failure recovery. This step belongs to Dataverse event endpoint deduplication and retry rather than the complementary pair here. The required action is: Publish Dataverse operation events to an approved endpoint using supported execution context and IOrganizationService or service endpoint integration contracts. And its evidence is: Inspect message pipeline stage, endpoint configuration, event payload, caller identity, service bus connectivity and logs.

Configure allowed origins for scripts, styles, connections and frames according to the code app CSP rather than setting a permissive wildcard. That action addresses Code app Content Security Policy configuration instead. A CSP error cannot be reliably fixed by disabling every restriction; precise origins should be justified. For this case, the targeted action is: Pass the execution context to registered form handlers and obtain formContext instead of relying on deprecated global Xrm.Page.

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: Pass the execution context to registered form handlers and obtain formContext instead of relying on deprecated global Xrm.Page.

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: Pass the execution context to registered form handlers and obtain formContext instead of relying on deprecated global Xrm.Page.

Check data ownership, virtual table provider, supported CRUD behavior, security, auditing and expected query performance. These checks are relevant to Standard versus virtual Dataverse tables, but are not the most discriminating first evidence for this case. Inspect instead: Compare data throughput, TTL, partition strategy, supported relationship behavior and required plug-in or query features.

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: Compare data throughput, TTL, partition strategy, supported relationship behavior and required plug-in or query features.

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 data throughput, TTL, partition strategy, supported relationship behavior and required plug-in or query features.

Use managed solutions with controlled upgrades and inspect component layers to understand why a target customization overrides a release. That action addresses Managed solution layers and upgrade behavior instead. An unmanaged layer in production can override managed app changes even after a technically successful import. For this case, the targeted action is: Evaluate an elastic table for high-volume partitioned Dataverse workloads only after confirming partition keys, feature limits and transactional requirements.

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: Evaluate an elastic table for high-volume partitioned Dataverse workloads only after confirming partition keys, feature limits and transactional requirements.

Instrument Power Apps, cloud flows, plug-ins and Azure integrations with correlated operation IDs and Application Insights or approved monitor alerts. That action addresses Cross-service monitoring and alert design instead. An error at a downstream connector can appear as an app timeout; monitoring should correlate rather than guess root causes. For this case, the targeted action is: Evaluate an elastic table for high-volume partitioned Dataverse workloads only after confirming partition keys, feature limits and transactional requirements.