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NEW QUESTION: 1
銀行は、Power Platformアプリとフローを使用してビジネスプロセスをサポートしています。
同社は、クライアントの過去のデータを使用して、クライアントのローン申し込みが承認されるか拒否されるかを予測します。
ソリューションを実装するには、AIビルダーを使用する必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Import data into Common Data Service.
AI Builder requires the use of Common Data Service, which is the data platform for PowerApps and allows you to store and manage business data. Common Data Service is the platform on which Dynamics 365 apps are built so if you're a Dynamics 365 customer, your data is already in Common Data Service.
Step 2: Train the model
Step 3: Publish the model
The last step is to publish your model.
Step 4: Use the model in PowerApps or Microsoft Flow.
Reference:
https://docs.microsoft.com/en-us/ai-builder/build-model

NEW QUESTION: 2
Refer to the exhibit.

A customer is having a problem with NPV. Which of these is the cause of the problem?
A. Multiple external links must be up for the server to come up.
B. Internal links are down and must be up for the server interface to be up.
C. One external link must be up for server interface to be up.
D. No server was requested or received by the FLOGI database.
Answer: C

NEW QUESTION: 3
Case Study 2 - Contoso Ltd
Overview
Existing Environment
Contoso, Ltd. is a manufacturing company that produces outdoor equipment Contoso has quarterly board meetings for which financial analysts manually prepare Microsoft Excel reports, including profit and loss statements for each of the company's four business units, a company balance sheet, and net income projections for the next quarter.
Data and Sources
Data for the reports comes from three sources. Detailed revenue, cost and expense data comes from an Azure SQL database. Summary balance sheet data comes from Microsoft Dynamics 365 Business Central. The balance sheet data is not related to the profit and loss results, other than they both relate to dates.
Monthly revenue and expense projections for the next quarter come from a Microsoft SharePoint Online list. Quarterly projections relate to the profit and loss results by using the following shared dimensions: date, business unit, department, and product category.
Net Income Projection Data
Net income projection data is stored in a SharePoint Online list named Projections in the format shown in the following table.

Revenue projections are set at the monthly level and summed to show projections for the quarter.
Balance Sheet Data
The balance sheet data is imported with final balances for each account per month in the format shown in the following table.

There is always a row for each account for each month in the balance sheet data.
Dynamics 365 Business Central Data
Business Central contains a product catalog that shows how products roll up to product categories, which roll up to business units. Revenue data is provided at the date and product level. Expense data is provided at the date and department level.
Business Issues
Historically, it has taken two analysts a week to prepare the reports for the quarterly board meetings. Also, there is usually at least one issue each quarter where a value in a report is wrong because of a bad cell reference in an Excel formula. On occasion, there are conflicting results in the reports because the products and departments that roll up to each business unit are not defined consistently.
Planned Changes
Contoso plans to automate and standardize the quarterly reporting process by using Microsoft Power Bl. The company wants to how long it takes to populate reports to less than two days. The company wants to create common logic for business units, products, and departments to be used across all reports, including, but not limited, to the quarterly reporting for the board.
Technical Requirements
Contoso wants the reports and datasets refreshed with minimal manual effort The company wants to provide a single package of reports to the board that contains custom navigation and links to supplementary information.
Maintenance, including manually updating data and access, must be minimized as much as possible.
Security Requirements
The reports must be made available to the board from powerbi.com. A mail-enabled security group will be used to share information with the board.
The analysts responsible for each business unit must see all the data the board sees, except the profit and loss data, which must be restricted to only their business unit's data. The analysts must be able to build new reports from the dataset that contains the profit and loss data, but any reports that the analysts build must not be included in the quarterly reports for the board. The analysts must not be able to share the quarterly reports with anyone.
Report Requirements
You plan to relate the balance sheet to a standard date table in Power Bl in a many-to-one relationship based on the last day of the month. At least one of the balance sheet reports in the quarterly reporting package must show the ending balances for the quarter, as well as for the previous quarter.
Projections must contain a column named RevenueProjection that contains the revenue projection amounts. A relationship must be created from Projections to a table named Date that contains the columns shown in the following table.

The relationships between products and departments to business units must be consistent across all reports.
The board must be able to get the following information from the quarterly reports:
- Revenue trends over time
- Ending balances for each account
- A comparison of expenses versus projections by quarter
- Changes in long-term liabilities from the previous quarter
- A comparison of quarterly revenue versus the same quarter during the
prior year
Hotspot Question
You need to calculate the last day of the month in the balance sheet data to ensure that you can relate the balance sheet data to the Date table.
Which type of calculation and which formula should you use? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: A DAX Calculated measure
Box 2: Date.EndofQuarter(#date([Year],[Mont],1))
ENDOFQUARTER returns the last date of the quarter in the current context for the specified column of dates.
The following sample formula creates a measure that returns the end of the quarter, for the current context.
= ENDOFQUARTER(DateTime[DateKey])
Reference:
https://docs.microsoft.com/en-us/dax/endofquarter-function-dax

NEW QUESTION: 4
A company has an external system that processes and tracks orders. Sales reps manage their leads and opportunity pipeline in Salesforce. In the current state, the two systems are disconnected and processing orders requires a lot of manual entry on sales rep part. This creates delays in processing orders and incomplete data due to manual entry.
As a part of modernization efforts the company decided to integrate Salesforce and the order management system. The following technical requirements were identified:
1. Orders need to be created in real time from salesforce
2. Minimal customization*, and code should be written due to a tight timeline and lack of developer resources
3. Sales reps need to be able to see order history and be able to see most up to date information on current order status.
4. Managers need to be able to run reports in Salesforce to see daily and monthly order volumes and fulfillment timelines.
5. The legacy system is hosted on premise and is currently connected to the Enterprise Service Bus (ESB). The ESB is flexible enough to provide any methods and connection types needed by salesforce team.
6. There are 1000 sales reps. Each user processes/creates on average 15 orders per shift. Most of the orders contain 20-30 line items.
How should an integration architect integrate the two systems based on the technical requirements and system constraints?
A. Use Salesforce external object and OData connector.
B. Use Salesforce standard object, REST API and ETL.
C. Use Salesforce custom object, custom REST API and ETL.
D. Use Salesforce big object, SOAP API and Dataloader.
Answer: B