Fast2test MB-260問題集でリアル試験問題でテストエンジン問題集でトレーニング [Q51-Q69]

Fast2test MB-260問題集でリアル試験問題でテストエンジン問題集でトレーニング

Microsoft MB-260テスト問題集とオンライン試験エンジン

マイクロソフトMB-260認定試験は、顧客データプラットフォームを実装および管理することを専門にするプロフェッショナルにとって貴重な資産です。認証を取得することで、潜在的な雇用者に対して、高品質の顧客データプラットフォームソリューションを提供するために必要な強力なスキルと専門知識を持っていることを示すことができます。認定試験は、顧客データの効果的な分析と管理を行う能力を証明するために設計されており、成功を収め、影響力のある顧客体験を作り出す上で重要です。

質問 # 51
You are a Customer Data Platform Specialist. Your organization is using Power Query when connecting to Data Sources in audience insights. You need to load eCommerce Contacts to audience insights.
Which statement about loading data to audience insights using Power Query is correct?

A. You must create a separate Power Query data source for each entity you wish to ingest.
B. Power Query automatically recognizes header rows in files when you use the Text/CSV connector.
C. After you save a Power Query data source, you have to manually trigger the initial refresh process.
D. You can add additional entities to the data source using Get Data functionality in the Power Query.

正解：D

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query

質問 # 52
An organization is using Microsoft Power Query when connecting to data sources in Microsoft Dynamics 365 Customer Insights. You need to load eCommerce Contacts to Dynamics 365 Customer Insights using Microsoft Power Query. Which is an appropriate action to take when using Microsoft Power Query to ingest data?

A. You can have Microsoft Power Query automatically recognizes header rows in files when you use the Text/CSV connector.
B. If a system process uses a Microsoft Power Query data source, you can simultaneously edit the data source.
C. You must select Microsoft Power Query as an import method when creating the data source
D. After you saw a Microsoft Power Query data source you have to manually trigger the initial refresh process.

正解：B

質問 # 53
You are a Customer Data Platform Specialist. Your company's information technology team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with audience insights, but the team has some concerns about the suitability of their dat
a. You need to confirm if their research about data requirements is correct.
Which two statements are correct about the data characteristic requirements for configuring the CLV ML model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. There should be at least 100.000 unique customers to perform the CLV model.
B. There should be at least two to three transactions per customer ID. preferably across multiple dates.
C. There should be preferably two to three years of transactional data to predict CLV for one year.
D. The CLV model will not run if there is any missing data in the fields.

正解：B、C

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetime-value

質問 # 54
You are a Customer Data Platform Specialist. You are reviewing the system status. You notice that an insights refresh process shows a "skipped" status.
Which system process type should you review to find the step that is blocking the insights refresh from starting?

A. Activities
B. Enrichments
C. Segments
D. Search

正解：C

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/system

質問 # 55
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.
You are a Customer Data Platform Specialist. Your company's information technology department already ingested a CSV file with column names in the first row into audience insights. You are asked to clean and transform the data to get it ready for unification.
What can you do to satisfy the requirements?
Solution: Clean the data by transforming the first row to be used as headers, defining column types to be appropriate field types, and naming the query. Create a full name column if it does not exist by merging the columns for the first name and last name. Click "Next" and your data is now ready for unification.
Does this meet the goal?

A. No
B. Yes

正解：B

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query

質問 # 56
You need to implement the out-of-the-box product recommendation model to generate event recommendations for the post-purchase email.
What action must you perform to use this model?

A. Add an event type id GUID to the event tickets Power Query definition.
B. Upload a product catalog table with categories and prices for event types.
C. Include an IsReturn field in the Power Query definition for event tickets.
D. Change the existing semantic mapping type for the event tickets activity.

正解：D

質問 # 57
You are a Customer Data Platform Specialist. The marketing manager at your company wants to understand the training model performance for a customer lifetime value (CLV) model you configured.
What do the possible training model performance grades signify? To answer, drag the appropriate definition to the correct grade value. Each definition may be used once or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

解説：

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetime-value

質問 # 58
You are a Customer Data Platform Specialist. The marketing team wants to send personalized marketing emails to customers, but the customer FullName attribute has not been correctly populated as part of the profile unification process.
You update the Map process to include the loyalty.member.fullname, ecom.member.fullname, and cclubcust.member.full_name fields. Then, you map the fields to the Person.FullName semantic type. Audience insights automatically merges these fields into the FullName attribute on the Merge page.
What action should you perform to make sure the merged FullName field contains the most trusted data available?

A. Separate the fields in the merged FullName field, create a new field, and add attributes in priority order.
B. Edit the merged FullName field, combine fields by importance, and manually rank the source entities.
C. Edit the merged FullName field and combine fields by least recent based on timestamp in the source entity.
D. Edit the merged FullName field and combine fields by most recent based on timestamp in the source entity.

正解：B

解説：
Explanation
Adding Full Name field to the unified customer record
Full Name is a merged field with the following merging policy
a. loyalty.member.fullname
b. ecom.member.fullname
c. cclubcust.csv.full_name
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/merge-entities

質問 # 59
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.
You are a Customer Data Platform Specialist. Your company's information technology department already ingested a CSV file with column names in the first row into audience insights. You are asked to clean and transform the data to get it ready for unification.
What can you do to satisfy the requirements?
Solution: Clean the data by removing any rows with nulls and deleting any leading zeros on the primary key. Click "Next" and your data is now ready for unification.
Does this meet the goal?

A. Yes
B. No

正解：B

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query

質問 # 60
You are a Customer Data Platform Specialist.
One of the marketing users asked you to create two lists:
All customers that live in Paris, France
All customers that have made more than ten online purchases
You decide to create these lists as quick segments.
Which two options should you use as the base in quick segments to create the required insights? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Enrichments
B. Data entities
C. Measures
D. Profiles
E. Intelligence

正解：C、D

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/segment-builder#quick-segm

質問 # 61
You are reviewing the system status in Microsoft Dynamics 365 Customer Insights. You notice that different refresh processes are not successful. You need to find the step that is blocking these processes from refreshing.
Which dependency types are associated with each process? To answer, drag the appropriate dependency types to the correct processes. Each user group may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct match is worth one point.

正解：

解説：

Explanation

質問 # 62
Your team developed and integrated a batch inferencing pipeline to audience insights. This allows for a new custom machine learning (ML) model to run and deliver new insights to your unified profiles dat
a. Your team is manually running the custom machine learning workflows.
Which statement is correct about allowing your workflow to run automatically with every scheduled refresh?

A. Your team can set up scheduled refreshes that allow your workflow to run automatically.
B. Your team needs to manually trigger your custom machine learning workflows.
C. You can configure scheduled refreshes for audience insights from Azure ML where you developed the custom ML model.
D. Scheduled refreshes are not supported for custom machine learning models that are connected to audience insights.

正解：A

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/custom-models
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/system#schedule-tab

質問 # 63
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.
You are responsible for creating segments for your company's marketing team using Microsoft Dynamics 365 Customer Insights.
Your Chief Marketing Officer (CMO) wants to run a re-engagement campaign for customers that have a high probability of no longer purchasing your organizations products in the next three months.
The CMO asks you to use Dynamics 365 Customer Insights to generate a segment of customers that would meet this requirement.
Solution:
1. Generate a Transactional churn prediction for the next three months.
2. On the results page, review the model results to identify the characteristics of the highest "Likelihood to churn" group.
3. Create a segment from the results page using the ChurnScore field and a Greater than operator for the lower bounds value of the group you identified.
Does this meet the goal?

A. No
B. Yes

正解：B

質問 # 64
You are implementing Microsoft Dynamics 365 Customer Insights as the company's Customer Data Platform.
You set up the data sources and start the unification process.
You need to identify the primary table within the Matching conditions page.
Which two criteria should you use to determine the primary table? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

A. Choose the table with the most complete and reliable profile data about your customers.
B. Choose the table that has several attributes in common with other tables.
C. Choose the Dynamics 365 contact table when this is available as the data source.
D. Choose the table that has the most related tables.

正解：A、B

質問 # 65
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.
You are a Customer Data Platform Specialist. Your company's information technology department (IT) has a CSV file stored on one of their Shared Documents folder within their SharePoint sites which they have ingested into audience insights. The file contains a row header with some special characters, columns of different types (quantities, prices, etc.), and some rows with a high proportion of nulls and missing primary keys. You have been asked to clean and transform the data in audience insights to be ready for unification.
What should you do?
Solution: Clean the data by transforming the first row to be used as headers and removing special characters and spaces from header row, defining column types to be appropriate field types, remove rows with missing primary keys, and name the query. Click "Next" and your data is now ready for unification.
Does this meet the goal?

A. No
B. Yes

正解：B

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query

質問 # 66
You are a Customer Data Platform Specialist. The chief marketing officer (CMO) asked you to look at different use cases as you are implementing the Customer Insights platform.
Which use case is applicable to either audience insights or engagement insights? To answer, drag the appropriate capability to the correct use case. Each capability may be used once, more than once, or not at all.
You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

正解：

解説：

Explanation
Graphical user interface, text, application, email Description automatically generated

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/engagement-insights/overview
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/overview

質問 # 67
You are a Customer Data Platform Specialist. Your company's information technology team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with audience insights, but the team has some concerns about the suitability of their data. You need to confirm if their research about data requirements is correct.
Which two statements are correct about the data characteristic requirements for configuring the CLV ML model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. There should be at least 100.000 unique customers to perform the CLV model.
B. There should be at least two to three transactions per customer ID. preferably across multiple dates.
C. There should be preferably two to three years of transactional data to predict CLV for one year.
D. The CLV model will not run if there is any missing data in the fields.

正解：B、C

解説：
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetime-va

質問 # 68
You are the administrator for a new Dynamics 365 Customer Insights environment at your organization.
You need to set up the Search & filter index for the first time.
What three 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.