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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Dynamics 365 Customer Experience Analyst |
| Exam Number: | MB-280 |
| Exam Format: | Multiple choice, Interactive items, Case studies |
| Exam Duration: | 100–120 |
| Related Certifications: | Microsoft Certified: Dynamics 365 Sales Functional Consultant Associate Microsoft Certified: Power Platform Functional Consultant Associate |
| Certificate Validity Period: | 2 years |
| Available Languages: | German, English, Chinese (Simplified), French, Portuguese (Brazil), Spanish, Japanese |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 40–60 |
| Exam Price: | $165 USD |
| Recommended Training: | Course MB-280T01–T04 MB-280 Learning Path |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Microsoft MB-280 Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Recommended: Experience with Dynamics 365 Sales, Dataverse, and basic Power Platform knowledge; no mandatory prerequisites |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/MB-280 |
PassTIP에서는 가장 최신이자 최고인Microsoft인증 MB-280시험덤프를 제공해드려 여러분이 IT업계에서 더 순조롭게 나아가도록 최선을 다해드립니다. Microsoft인증 MB-280덤프는 최근 실제시험문제를 연구하여 제작한 제일 철저한 시험전 공부자료입니다. Microsoft인증 MB-280시험준비자료는 PassTIP에서 마련하시면 기적같은 효과를 안겨드립니다.
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질문 # 15
You created and published lead scoring models in the Dynamics 365 Customer Insights - Journeys application.
Your marketing team members inform you that they are NOT able to view the lead scoring insights. You confirm the lead scoring models are published and are Live.
You need the marketing team to be able to view the lead scoring insights.
What should you do?
정답：C
설명：
To view lead scoring insights in Dynamics 365 Customer Insights - Journeys, users need the appropriate permissions granted by a specific security role. The Lead Score Viewer security role provides users with the necessary access to see lead scoring insights. Without this role, the marketing team will not have visibility into the lead scores, even if the models are published and live.
질문 # 16
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
A company's IT department has a .CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the .CSV file is ingested into Dynamics 365 Customer Insights - Data.
The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.
You need to clean and transform the data in Customer Insights - Data to be ready for unification.
Solution: Transform the first row to be used as headers, and remove any special characters or spaces from header row. Remove rows with missing primary keys and name the query. Select Next and your data is now ready for unification.
Does this meet the goal?
정답：A
설명：
Correct:
* Transform the first row to be used as headers. Define column types to be the appropriate field types and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Select Next and your data is now ready for unification.
The proposed solution effectively prepares the data for unification in Dynamics 365 Customer Insights - Data.
Here's how each step contributes to meeting the goal:
Transform the first row to be used as headers: This step is necessary to define the column names, which is critical for accurate data interpretation.
Define column types to be the appropriate field types: Specifying the correct data types for each column ensures that the data will be processed correctly during unification, maintaining data integrity.
Create a full name and full address columns by merging the appropriate columns if they exist: This step enhances the dataset by consolidating relevant information into single columns, which can simplify data usage and improve data quality. Merging columns helps ensure that users can easily access essential information without navigating through multiple fields.
Select Next: This indicates that the data transformation steps are completed and the dataset is ready for the unification process.
Incorrect:
* Define column types to be appropriate field types and name the query. Create a full name and full address columns by merging the appropriate columns, if they exist. Select Next and your data is now ready for unification.
Does not address the problem with null values.
* Remove any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Select Next and your data is now ready for unification.
Problem not related to the primary key.
* Transform the first row to be used as headers, and remove any special characters or spaces from header row.
Remove rows with missing primary keys and name the query. Select Next and your data is now ready for unification.
Does not address the problem with null values.
* Transform the first row to be used as headers, define column types to be the appropriate field types and name the query. Select Next and your data is now ready for unification.
Solution removes all rows with null values, which can lead to significant data loss, especially if those rows contain important information.
It may compromise data quality by eliminating rows, which can impact analysis and insights.
* Transform the first row to be used as headers, remove rows that contain null values, and name the query.
Select Next and your data is now ready for unification.
While the solution includes transforming the first row to be used as headers and naming the query, the step of removing rows that contain null values is problematic.
Removing all rows with null values can lead to significant data loss, particularly if those rows contain relevant information.
질문 # 17
What is the primary purpose of creating a unified customer profile in Dynamics 365 Customer Insights?
정답：B
질문 # 18
Hotspot Question
A sales manager wants to set up goals for all salespeople. The goal measurement is based on the total outgoing calls finished each year. The goals for the fiscal year are based on a calendar year (January -- December).
You need to create the rollup query for the goal metrics.
Which option should you select? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
Date field: Actual End
Since the goal measurement is based on the completed calls (finished), you should choose
"Actual End" as it reflects when the call activity was completed.
Rollup field: Actual (integer)
You are measuring actual completed outgoing calls, so the "Actual (integer)" option is appropriate.
Source Record Type Status: Completed
To focus on finished calls, the "Completed" status is the right choice since it reflects when a call has been finished.
질문 # 19
Drag and Drop Question
The product development team for a toy company creates a new remote-control toy.
You need to create the necessary records and record relationships to sell the product for a newly deployed Dynamics 365 Sales system.
Which five records and/or components should you configure in sequence? To answer, move the five appropriate records and/or components from the list of records and components to the answer area. Arrange the five records and/or components 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.
정답：
설명：
Explanation:
Step 1: product families
Define your product catalog by organizing your products in a hierarchical structure by creating products and bundles under a product family, defining related products, and adding properties (attributes) to the parent product family so that all the child products and bundles under a product family automatically inherit the properties.
Step 2: products
Step 3: units
How the price for the product is determined for each unit of measure that is defined for that product.
Step 4: price lists
Define product pricing with price lists and price list items
Price lists tell your sales agents what to charge for your products or services. You can create multiple price lists so that you can maintain separate price structures for different regions, sales channels, or sales territories.
Price lists tie the unit, product, and pricing details together, so before you create a price list, make sure the units and products are in place.
Note: Create a Price List Item within a Price List
In the Price List form, select the Price List Items tab, and then select New Price List Item.
In the Price List Item form, fill in the following information:
Product: Select the product for which you're creating this price list.
Unit: Select the unit for the product you're creating this price list for.
Etc,
Step 5: price list items
Price List Item (ProductPriceLevel) table/entity reference (Microsoft Dynamics 365) Information about how to price a product in the specified price level, including pricing method, rounding option, and discount type based on a specified product unit.
질문 # 20
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MB-280퍼펙트 인증공부: https://www.passtip.net/MB-280-pass-exam.html
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