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| Section | Objectives |
|---|---|
| Embed agents and AI experiences | - Agent integration
|
| Design intelligent applications with Copilot and natural language | - AI-first application design
|
| Governance and application lifecycle management | - Responsible AI and ALM
|
| Implement automation and orchestration | - Process automation
|
| Build intelligent applications on Microsoft Power Platform | - Application development
|
AB-410問題集はオンライン版、ソフト版、とPDF版がありますので、とても便利です。AB-410問題集を購入すれば、あなたはいつでもどこでも勉強することができます。AB-410問題集はIT専門家が長年の研究したことです。従って、高品質で、AB-410試験の合格率が高いです。毎年、たくさんの人がAB-410試験に参加し、合格しました。あなたはAB-410問題集を利用すれば、AB-410試験に合格できますよ。もし、将来に、IT専門家になります。
質問 # 86
A company processes customer orders by using a cloud flow.
The flow must evaluate the following conditions:
# Route orders for approval when the OrderTotal exceeds 1,000.
# Flag orders when the CustomerName identifies the string "VIP".
You need to configure flow conditions.
Which expressions should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
OrderTotal - greater(triggerOutputs()?[ ' body/OrderTotal ' ], 1000); CustomerName - contains (triggerOutputs()?[ ' body/CustomerName ' ], ' VIP ' )
The approval condition must use greater(triggerOutputs()?[ ' body/OrderTotal ' ], 1000) because the requirement is strictly "exceeds 1,000." equals would match only 1,000, and less would reverse the decision.
The VIP test must use contains(triggerOutputs()?[ ' body/CustomerName ' ], ' VIP ' ) because the requirement says the name identifies the string anywhere in the value. startsWith would miss names where VIP occurs later, and equals would match only a value consisting entirely of VIP. In production, the maker should confirm the trigger schema and ensure OrderTotal is numeric rather than text; conversion may be required when the source supplies a string. Case sensitivity and null handling should also be tested for customer names. These expressions can be used in Condition actions or trigger conditions depending on whether unwanted runs should be prevented entirely. The Study Guide explicitly includes "implement flow control with conditions and loops." The two selected functions translate the comparison language precisely: greater for the numeric threshold and contains for substring identification.
Study Guide reference/topic: "Create cloud flows - Implement flow control with conditions." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 87
You are modifying a canvas app for a company.
The app must store both a single value and tabular data.
You need to manage application state.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Single value across screens: Global variable. Tabular session data: Multicolumn collection.
A global variable stores one value or record and is available throughout the running canvas app, making it suitable for a user selection that must persist while the user navigates between screens. It is created or changed with Set. A collection is an in-memory table, and a multicolumn collection can hold multiple rows and fields for session-based tabular state. It is created or updated with functions such as ClearCollect, Collect, Patch, and Remove. A context variable is scoped to one screen and therefore does not directly satisfy the across-screens requirement. A single global variable could technically contain a table, but using a collection provides the intended table operations and clearer state semantics. Neither mechanism is durable storage:
values are lost when the app session ends unless they are written to Dataverse or another data source. Makers should avoid unnecessary state and recalculate values when practical. Microsoft documents Set for global variables and Collect or ClearCollect for collections.
Reference: https://learn.microsoft.com/en-us/power-platform/power-fx/variables Study Guide alignment: Create intelligent applications.
質問 # 88
A company uses a cloud flow to process customer records in Dataverse.
The flow must:
# Retrieve a customer record.
# Store the customer email address for later use.
# Use the stored value in an email action.
You need to configure flow actions.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
正解：
解説：
Explanation:
Get a row by ID (Dataverse) # Initialize the variable # Set the variable # Send an email
The flow first retrieves the customer with Get a row by ID so the email value is available as dynamic content.
It then initializes a string variable, sets that variable to the retrieved email address, and uses the variable in the Send an email action. Initialization must occur before Set, while retrieval may occur before or after initialization; the question acknowledges that more than one valid order exists. The displayed sequence is therefore valid: Get row, Initialize, Set, Send. Append to a string variable is unnecessary because only one email value is stored, and appending can unintentionally retain or concatenate content in a loop. The variable should use a clear name and the email action should handle an empty address before attempting delivery. If the value is used only once, direct dynamic content could be simpler, but the requirement explicitly asks to store it for later use. The Study Guide covers "configure cloud flow actions." This sequence establishes the source value, creates the storage container, assigns the value, and consumes it in dependency order.
Study Guide reference/topic: "Create cloud flows - Configure cloud flow actions." AB-410 Study Guide | Microsoft Learn technical reference
質問 # 89
A company must be able to monitor changes to records and support integration with external systems. The solution must provide the following functionality:
* Maintain a history of changes to records.
* Allow external systems to detect data updates.
You need to configure table properties.
How should you configure the properties? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Maintain history of changes: Enable auditing at the table level. Detect updates externally: Enable change tracking at the table level.
Dataverse auditing records changes so authorized administrators can review the history of operations and changed values. Auditing must be enabled at the environment and table levels, and relevant columns must also participate where detailed column changes are required. Audit retention controls how long those audit records remain but does not enable the history itself. Change tracking serves the integration requirement: it lets an external client retrieve only rows that changed since a prior synchronization token, supporting efficient incremental synchronization instead of repeatedly reading the entire table. Long-term data retention archives operational data and is unrelated to the audit trail. A generic synchronization interval also does not expose Dataverse change tokens. The two properties may be enabled together because they solve different problems- governance history versus integration delta detection. Administrators should plan audit capacity and protect synchronization tokens appropriately. Microsoft documents Dataverse auditing for data-change history and change tracking for synchronizing data with external systems.
Reference: https://learn.microsoft.com/en-us/power-platform/admin/manage-dataverse-auditing Study Guide alignment: Create a foundation for intelligent applications.
質問 # 90
You need to address the unnecessary data access.
Which security changes should you make? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
During verification: Assign records to a service account and add the current verifier by using an access team. After completion: Assign records to the QV team.
During active verification, an access team supports record-specific collaboration without granting every employee broad access to all client records. The Service Request can remain owned by a controlled service account, while only the team member performing that verification is added to the record ' s access team with the required rights. Access-team membership can be removed when the work ends. This is more precise than granting organization-wide privileges or assigning each record directly while allowing access to persist through broad roles. After the Service Request is completed, ownership should move to the QV owner team.
An owner team can own rows and receives privileges from its assigned security roles, limiting continued access to the designated QV members who perform quality review. Assigning the completed record back to an individual verifier would preserve unnecessary personal access, while leaving it with a general service account would not itself establish the correct business-user access boundary. Microsoft distinguishes access teams, which receive rights to specific shared rows, from owner teams, which can own rows and hold security roles.
Reference: https://learn.microsoft.com/en-us/power-apps/developer/data-platform/use-access-teams-owner- teams-collaborate-share-information Study Guide alignment: Create a foundation for intelligent applications.
質問 # 91
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