cert
cert-1
cert-2

Pass Microsoft PL-400 Exam in First Attempt Guaranteed!

Get 100% Latest Exam Questions, Accurate & Verified Answers to Pass the Actual Exam!
30 Days Free Updates, Instant Download!

cert-5
cert-6
PL-400 Exam - Verified By Experts
PL-400 Premium Bundle
$14.99

PL-400 Premium Bundle

$74.99
$89.98
  • Premium File 429 Questions & Answers. Last update: Nov 10, 2026
  • Training Course 106 Video Lectures
 
$89.98
$74.99
accept 41 downloads in last 7 days
block-screenshots
Purchase Microsoft PL-400 Exam Training Products Individually
Microsoft PL-400 Premium File
Premium File 429 Q&A
$76.99$69.99
Microsoft PL-400 Video Training Course
Training Course 106 Lectures
$21.99 $19.99
Microsoft PL-400 Practice Test 47

Question 460

A Web API query selects every column of a sensitive table though the workflow needs just record IDs and status. Which evidence should the developer inspect FIRST to distinguish the root cause or verify the prerequisite?

  1. Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget.
  2. Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior.
  3. Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies.
  4. Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

Explanation

Correct Answer

D:

Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges. These observations separate this failure from adjacent capabilities or permissions. A page-size hint or first result set does not guarantee the entire data collection has been returned. The relevant implementation is: Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows.

Incorrect Answers

A:

Inspect HTTP response code, Retry-After header, request volume, concurrency, idempotency key and retry budget. These checks are relevant to Dataverse API service-protection throttle retry, but are not the most discriminating first evidence for this case. Inspect instead: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

B:

Inspect agent endpoint, correlation, delegated claims, response schema, tool approval and timeout behavior. These checks are relevant to Foundry to Copilot Studio agent orchestration, but are not the most discriminating first evidence for this case. Inspect instead: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

C:

Inspect output parameters, stage, post image configuration, async mode, transaction state and external dependencies. These checks are relevant to Dataverse PostOperation plug-in and after-save evidence, but are not the most discriminating first evidence for this case. Inspect instead: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

Question 461

A delete command is hidden based on a form field but an unauthorized user still calls its custom API. Which TWO complementary steps provide the intended implementation AND the evidence needed to validate it? Select TWO.

  1. A component propagates intentional changes once and removes handlers/timers when destroyed or navigated away.
  2. Inspect modal return values, navigation options, form notification IDs, record identifiers and asynchronous cancel behavior.
  3. Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role.
  4. Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state.
  5. Pass the execution context to registered form handlers and obtain formContext instead of relying on deprecated global Xrm.Page.

Explanation

Correct Answers

C:

Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role. These observations separate this failure from adjacent capabilities or permissions. A hidden command is a UX convenience, not a security control for direct API access. The relevant implementation is: Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. This is the diagnostic/verification half of the required two-step answer.

D:

Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. This choice implements the controlling platform requirement rather than masking the symptom. A hidden command is a UX convenience, not a security control for direct API access. Verify the change using: Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role. This is the implementation half of the required two-step answer.

Incorrect Answers

A:

A component propagates intentional changes once and removes handlers/timers when destroyed or navigated away. This step belongs to PCF lifecycle methods and output notification rather than the complementary pair here. The required action is: Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. And its evidence is: Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role.

B:

Inspect modal return values, navigation options, form notification IDs, record identifiers and asynchronous cancel behavior. This step belongs to Client notifications dialogs and navigation rather than the complementary pair here. The required action is: Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. And its evidence is: Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role.

E:

Pass the execution context to registered form handlers and obtain formContext instead of relying on deprecated global Xrm.Page. This step belongs to Model-driven formContext from execution context rather than the complementary pair here. The required action is: Configure a modern model-driven command with Power Fx visibility/action rules or supported JavaScript, matching permissions and saved state. And its evidence is: Inspect command designer placement, selection context, Power Fx formula, app publication and calling user's security role.

Question 462

A custom rating control repeatedly triggers change notifications from updateView and freezes the host form. Which Power Platform extension or architecture change BEST addresses the core requirement?

  1. Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes.
  2. Use asynchronous Xrm.WebApi.retrieveMultipleRecords with encoded OData queries, selected columns, paging and proper error handling.
  3. Declare bound/input properties and resource files correctly in ControlManifest.Input.xml and align TypeScript output shapes with metadata.
  4. Use Application Insights telemetry with correlation IDs and privacy-safe fields to monitor code-app failures and end-to-end calls.

Explanation

Correct Answer

A:

Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes. This choice implements the controlling platform requirement rather than masking the symptom. An infinite update loop can occur when updateView unconditionally calls notifyOutputChanged. Verify the change using: Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.

Incorrect Answers

B:

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: Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes.

C:

Declare bound/input properties and resource files correctly in ControlManifest.Input.xml and align TypeScript output shapes with metadata. That action addresses PCF ControlManifest inputs and resources instead. PCF manifests are contracts for host binding; TypeScript property names alone do not register fields. For this case, the targeted action is: Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes.

D:

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: Implement PCF init, updateView, getOutputs and destroy lifecycle correctly and call notifyOutputChanged only for meaningful output changes.

Question 463

An agent passes basic happy-path tests but repeatedly selects an unrestricted account-update tool when asked unrelated questions. Which Power Platform extension or architecture change BEST addresses the core requirement?

  1. Use Dataverse row ETags and If-Match for concurrency-sensitive updates rather than silently overwriting newer edits.
  2. For 429 or service-protection responses use documented Retry-After and bounded exponential backoff with idempotent processing.
  3. Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes.
  4. Use Azure Functions to offload expensive work from synchronous Dataverse plug-ins while authenticating separately and tracking completion.

Explanation

Correct Answer

C:

Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes. This choice implements the controlling platform requirement rather than masking the symptom. LLM reasoning is probabilistic; prompt-only prohibitions are not a substitute for enforced tool permissions. Verify the change using: Inspect evaluator cases, tool traces, policy refusal tests, human approval status, error rates and rollback evidence.

Incorrect Answers

A:

Use Dataverse row ETags and If-Match for concurrency-sensitive updates rather than silently overwriting newer edits. That action addresses Optimistic concurrency ETag If-Match instead. Optimistic concurrency protects a versioned row but does not itself merge conflicting business values. For this case, the targeted action is: Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes.

B:

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: Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes.

D:

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: Evaluate agent tool-choice quality with representative test cases and require human approval for high-impact data writes.

Question 464

A scheduled inventory import calls Create every run and doubles the number of SKUs after three nights. Which TWO complementary steps provide the intended implementation AND the evidence needed to validate it? Select TWO.

  1. Use durable checkpoints, conflict detection and explicit deletion reconciliation to keep external systems consistent with Dataverse.
  2. Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation.
  3. The intended webhook listener receives authenticated events and rejects unrelated sources without exposing credentials.
  4. Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly.
  5. Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Explanation

Correct Answers

D:

Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. This choice implements the controlling platform requirement rather than masking the symptom. An upsert uses an identity key; it does not automatically validate every business rule or reconcile conflicting systems of record. Verify the change using: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency. This is the implementation half of the required two-step answer.

E:

Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency. These observations separate this failure from adjacent capabilities or permissions. An upsert uses an identity key; it does not automatically validate every business rule or reconcile conflicting systems of record. The relevant implementation is: Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. This is the diagnostic/verification half of the required two-step answer.

Incorrect Answers

A:

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: Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. And its evidence is: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

B:

Inspect table tracking setting, change tracking token age, paging, deletion metadata and downstream reconciliation. This step belongs to Dataverse change tracking incremental synchronization rather than the complementary pair here. The required action is: Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. And its evidence is: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

C:

The intended webhook listener receives authenticated events and rejects unrelated sources without exposing credentials. This step belongs to Webhook integration endpoint authentication and registration rather than the complementary pair here. The required action is: Use Dataverse UpsertRequest or Web API upsert with alternate-key addressing for create-or-update synchronization while handling conflicts explicitly. And its evidence is: Inspect key attributes, target Entity, UpsertResponse RecordCreated, error handling, ownership and retry idempotency.

Question 465

A simple FAQ agent is escalated into a custom Foundry deployment without any nonstandard orchestration requirement. Which TWO complementary steps provide the intended implementation AND the evidence needed to validate it? Select TWO.

  1. The application reads the authoritative source while all required edits and security operations behave as documented.
  2. Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.
  3. Compare data throughput, TTL, partition strategy, supported relationship behavior and required plug-in or query features.
  4. Use managed solutions with controlled upgrades and inspect component layers to understand why a target customization overrides a release.
  5. Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed.

Explanation

Correct Answers

B:

Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy. These observations separate this failure from adjacent capabilities or permissions. Choosing Foundry for orchestration does not bypass Copilot Studio or Dataverse data governance. The relevant implementation is: Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed. This is the diagnostic/verification half of the required two-step answer.

E:

Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed. This choice implements the controlling platform requirement rather than masking the symptom. Choosing Foundry for orchestration does not bypass Copilot Studio or Dataverse data governance. Verify the change using: Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy. This is the implementation half of the required two-step answer.

Incorrect Answers

A:

The application reads the authoritative source while all required edits and security operations behave as documented. This step belongs to Standard versus virtual Dataverse tables rather than the complementary pair here. The required action is: Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed. And its evidence is: Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.

C:

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 Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed. And its evidence is: Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.

D:

Use managed solutions with controlled upgrades and inspect component layers to understand why a target customization overrides a release. This step belongs to Managed solution layers and upgrade behavior rather than the complementary pair here. The required action is: Use Microsoft Foundry for custom coded model orchestration requiring extensible agent engineering and integrate through supported Power Platform endpoints when needed. And its evidence is: Check runtime customization needs, agent tools, API authentication, connector or MCP interface, usage monitoring and data access policy.

Question 466

A synchronization job processes only the first 5,000 contacts because it ignores the nextLink continuation. Which Power Platform extension or architecture change BEST addresses the core requirement?

  1. Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context.
  2. Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows.
  3. Use supported Power Platform managed identity for eligible plug-in outbound access and publish business events through configured secure contracts.
  4. Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload.

Explanation

Correct Answer

B:

Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows. This choice implements the controlling platform requirement rather than masking the symptom. A page-size hint or first result set does not guarantee the entire data collection has been returned. Verify the change using: Inspect request URI, OData filters, prefer header, continuation link, lookup annotation and calling user privileges.

Incorrect Answers

A:

Integrate Foundry custom agents with Copilot Studio agents through supported connectors or contracts while preserving identity and handoff context. That action addresses Foundry to Copilot Studio agent orchestration instead. A multi-agent conversation needs explicit context and security boundaries; text from one agent is not trusted instruction for another. For this case, the targeted action is: Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows.

C:

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: Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows.

D:

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: Use the Dataverse Web API with logical names, $select, encoded $filter and @odata.nextLink pagination instead of retrieving unrestricted rows.

Question 467

A server-side job retrieves all columns for each invoice line when a narrow ColumnSet would suffice. Which observable test result BEST confirms that the intended Power Platform component behaves correctly?

  1. Invalid records are rejected with a clear supported error before unnecessary downstream logic runs.
  2. The C# extension updates only intended Dataverse attributes while surfacing actionable service faults.
  3. Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization.
  4. An integration retrieves each authorized matching row exactly once with bounded response size and predictable paging.

Explanation

Correct Answer

B:

The C# extension updates only intended Dataverse attributes while surfacing actionable service faults. This is an observable application, data or security outcome, not merely a successful build message. The Organization service runs against Dataverse business rules and caller permissions; object assignments are not yet persisted updates.

Incorrect Answers

A:

Invalid records are rejected with a clear supported error before unnecessary downstream logic runs. This result validates Dataverse PreValidation plug-in and aborting operations instead of the component in question. Here the specific acceptance check is: The C# extension updates only intended Dataverse attributes while surfacing actionable service faults.

C:

Multiple callers invoke one stable server-side command that validates inputs and applies consistent authorization. This result validates Dataverse custom API contract and plug-in execution instead of the component in question. Here the specific acceptance check is: The C# extension updates only intended Dataverse attributes while surfacing actionable service faults.

D:

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 C# extension updates only intended Dataverse attributes while surfacing actionable service faults.

Question 468

A workflow needs two linked records saved together but dispatches separate uncoordinated HTTP writes that can partially succeed. Which Power Platform extension or architecture change BEST addresses the core requirement?

  1. Use grouped Scopes, configure run-after branches for failure/timeout and record business state before notifying success.
  2. Use expressions such as coalesce, empty, formatDateTime and guarded JSON parsing with explicit type assumptions.
  3. Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload.
  4. Register a signed plug-in assembly, target message, step mode/stage and image configuration with supported tooling and deploy it in a solution.

Explanation

Correct Answer

C:

Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload. This choice implements the controlling platform requirement rather than masking the symptom. OData $batch requests are not automatically one atomic database transaction; a change set and service semantics matter. Verify the change using: Inspect batch boundaries, supported message types, transaction failure behavior, service-protection limits and rollback plan.

Incorrect Answers

A:

Use grouped Scopes, configure run-after branches for failure/timeout and record business state before notifying success. That action addresses Power Automate Scope run-after and failure handling instead. A green action upstream does not imply every downstream step succeeded; run-after must include required failure states. For this case, the targeted action is: Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload.

B:

Use expressions such as coalesce, empty, formatDateTime and guarded JSON parsing with explicit type assumptions. That action addresses Power Automate expressions null coalesce and safe parsing instead. A missing property is not always equivalent to an empty string; expression behavior depends on data type. For this case, the targeted action is: Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload.

D:

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: Choose supported Dataverse batch or ExecuteTransaction patterns only when their atomicity, limits and error semantics fit the workload.

Question 469

A custom connector's bulk update operation is duplicated whenever a transient timeout masks a successful initial response. Which observable test result BEST confirms that the intended Power Platform component behaves correctly?

  1. Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.
  2. A record update yields one intended side effect even when another plug-in or flow touches the same row.
  3. The unattended flow continues after an employee leaves and fails safely on permission or data errors.
  4. An integration retrieves each authorized matching row exactly once with bounded response size and predictable paging.

Explanation

Correct Answer

A:

Transient throttling recovers without overwhelming Dataverse or creating duplicate rows. This is an observable application, data or security outcome, not merely a successful build message. Rapid blind retries can amplify platform throttling; not every 4xx error is transient.

Incorrect Answers

B:

A record update yields one intended side effect even when another plug-in or flow touches the same row. This result validates Plug-in recursion depth and idempotent registration instead of the component in question. Here the specific acceptance check is: Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.

C:

The unattended flow continues after an employee leaves and fails safely on permission or data errors. This result validates Dataverse connector service principal and retry policies instead of the component in question. Here the specific acceptance check is: Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.

D:

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: Transient throttling recovers without overwhelming Dataverse or creating duplicate rows.

Question 470

A form resubmission starts two expensive flows because the action button does not guard repeat clicks. Which evidence should the developer inspect FIRST to distinguish the root cause or verify the prerequisite?

  1. Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions.
  2. Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.
  3. Inspect solution variable current values, environment ownership, deployment settings and fallback behavior.
  4. Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names.

Explanation

Correct Answer

B:

Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log. These observations separate this failure from adjacent capabilities or permissions. Calling a flow asynchronously does not guarantee its downstream actions committed before a UI success toast. The relevant implementation is: Invoke a solution-managed cloud flow from a code app with well-defined input/output schemas and bounded timeout/error handling.

Incorrect Answers

A:

Review manifest input/output types, updateView context, change notification frequency, cleanup and rendered DOM subscriptions. These checks are relevant to PCF lifecycle methods and output notification, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

C:

Inspect solution variable current values, environment ownership, deployment settings and fallback behavior. These checks are relevant to Code app environment variables and release-specific config, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

D:

Inspect query $select/$filter encoding, returned nextLink, caller role, promises, network failure and lookup logical names. These checks are relevant to Dataverse Xrm.WebApi asynchronous lookups, but are not the most discriminating first evidence for this case. Inspect instead: Inspect flow identifier, connection reference, child input parameters, caller authorization and flow run log.

Microsoft Power Platform Developer (PL-400) Practice Tests