[2023年更新]合格できるMicrosoft MB-260試験最新95問題 [Q31-Q56]

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[2023年更新]合格できるMicrosoft MB-260試験最新95問題

ゲット2023年最新の無料Microsoft MB-260試験問題 アンサー

質問 # 31
You are a Customer Data Platform Specialist. Some of the data your company stores need to adhere to strict organization compliance and security when establishing connections and exports. Your information technology department tells you that you must use a dedicated Azure key vault with your audience insights environment to help the organization meet its compliance requirements. The dedicated key vault will be used to stage and use secrets in an organization's compliance boundary.
Which two statements are true about using audience insights and Azure Key Vault to store the secrets for each of the connections set up?
NOTE: Each correct selection is worth one point.

  • A. The key vault is in the same Azure location as the audience insights environment.
  • B. The key vault must have Key Vault firewall enabled.
  • C. You must have administrator role in audience insights.
  • D. Audience insights can write secrets or overwrite secrets into the key vault.

正解:A、C

解説:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/use-azure-key-vault
Topic 1, Adventure Works
General Overview
AdventureWorks Cycles is a bicycle retailer with a few locations in the Midwest region. The AdventureWorks Cycles business model supports both in store purchases as well as online orders. In addition to offering a wide variety of bicycles, the company sells clothing, performance nutrition supplements, bicycle parts as well as bicycle fitting and repair services. The customer base varies from professional cyclists, individual leisure riders to families. The business experienced unprecedented growth of over 2000% during the pandemic bringing a total number of customers to 10,000. The company decided to invest in Microsoft Dynamics 365 Customer Insights and Dynamics 365 Sales App to unify customer data and improve sales.
Data Source
AdventureWorks Cycles uses Customer Insights to connect to data from three different sources to generate a unified customer record. The data ingestion has been done for the initial data load. There are three data sources containing customer profile data loaded to a dedicated storage account and container in the Azure Data Lake:
Loyalty data source: This data source contains customer profile information from in-store purchases.
- loyalty.member.csv: srcid (primary key), firstname, lastname, middlename, fullname, addressstreet, loyalty_email, city, zipcode, state, homephone, datecreated, timestamp
Ecommerce Data source: This data source contains customer profile information from online purchases.
- ecom.member.csv: ecid (primary key), firstname, last name, fullname, email, homephone, streetaddress, city, zip, state, datecreated, timestamp
Cycling Clubs Data Source: This data source contains customer profile information for members of Cycling clubs.
- cclubcust.csv: ccid (primary key) firstname, lastname, full_name, email, main phone, streetaddress1, city, zip_code, state, datecreated, datecreated, timestamp
The Loyalty data source contains the largest and most trusted dataset. It is considered the Primary Source followed by Ecommerce and Cycling Clubs Data Sources.
All three data sources share common customer demographics. Map, Match, and Merge (M3) rules within audience insights are applied accordingly to generate a unified customer record.
Additionally, there are three data sources that contain customer cellphone numbers for Loyalty, Ecommerce, and Cycling Club data sources that have been loaded to the Azure Data Lake but have not been ingested into audience insights.
cellPhone_loyaly.csv: srcid (primary key), cellphone
cellPhone_ec.csv: ecid (primary key), cellphone
cellPhone_cc.csv: ccid (primary key), cellphone
Pain Points
The AdventureWorks Cycles leadership team identified several pain points that need to be addressed immediately to support current growth and ensure customer satisfaction.
Lack of strategy for refreshing the customer data in the audience insights. There is a considerable effort needed to build pipelines to flow the incremental data updates into the Azure Data Lake so it can be ingested and processed in audience insights.
Customer Service reps cannot search for customers efficiently in audience insights which affects the customer satisfaction. Also, they do not have valid cell phone numbers for customers since it is not part of the profile.
The Sales team uses the Dynamics 365 Sales app but are not able to use segments generated in audience insights to generate marketing lists.
Marketing campaigns often sound redundant and inefficient as the same messaging is being sent to multiple members of the same household.
The Marketing team cannot create fully personalized communications due to missing Full Name in the unified customer record.
The test team is complaining that they do not have a dedicated UAT environment where they can test features before they are deployed to production.
Project Goals
Create a strategy to implement incremental data refresh in prod audience insights that reads data from Azure Data Lake Gen 2. In parallel configure incremental refresh in one of the non-production audience insights where all the data sources are available, loaded from Azure SQL database, through Power Query to audience insights instance. This will allow some testing of the incremental refresh functionality to be completed while the long-term strategy is being finalized.
Implement necessary changes to address the remaining pain points identified during the Leadership Team meeting.
Detailed Requirements
Pain Points
Configuring incremental refreshes for all customer data profiles as follows:
- Incremental data refresh should be configured for member tables only
- Timestamp data and time field should be used by the system to check when the record was last updated
- All three tables should be refreshed every two days
Adding additional data sources and search fields to audience insights
- Ingesting Cell phone data- the requirement is to keep the name of the date sources aligned with the design document. See section 1 for more details.
- Furthermore, to get a quick snapshot of the quality of data, data profiling should be enabled for the phone fields only
- The following fields from the unified customer record should be added to index: Last Name, Full Name, Email, Cell Phone, Street Address, DOB
Ability to use segments from the audience insights to generate marketing lists
- The Sales team needs to generate a marketing campaign based on segment of customers who have a Loyalty email. (loyalty.email)
Ability to group customer profiles into a household cluster for purpose of generating targeted marketing communication
- A household cluster is defined as customers who share Last Name, Street Address, City, Zip Code and State
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
Creating a sandbox environment that mirrors the current development environment
- Create a sandbox environment called UAT1 and copy configurations from env. "DEV1".
a. Note: there is also an exiting environment called "Dev" and it is not configured correctly and should not be copied


質問 # 32
You configured two segments:
1. A segment to find customers who frequently purchase one type of product
2. A segment to find customers who frequently purchase a different type of product You need to understand what attributes differ between these two groups of customers.
What can you configure Microsoft Dynamics 365 Customer Insights to do with a segment differentiator analysis? Each correct answer presents part of the solution.
NOTE; Each correct selection is worth one point.

  • A. Analyze a segment compared to all customers.
  • B. Analyze predictions and enrichments.
  • C. Ignore difference scores lower than a set threshold
  • D. Analyze customer fields and measures.

正解:A、D


質問 # 33
You are a Customer Data Platform Specialist. Your company implemented audience insights and Dynamics 365 Marketing. One of the data sources is the behavioral data from Dynamics 365 Marketing.
You are reviewing the segment requirements with the marketing team. The marketing team wants the segments to exclude people who already received a commercial email in the last seven days. The marketing team creates segments in audience insights and Dynamics 365 Marketing.
Which option is the fastest way to fulfill the requirement?

  • A. Create audience insights and Dynamics 365 Marketing segment templates that include the rule of contacts that received a commercial email in the last seven days.
  • B. Create an audience insights quick segment that includes the rule of contacts that received a commercial email in the last seven days. Make sure the quick segment is exported to Dynamics 365 Marketing.
  • C. Create single dynamic segments in both audience insights and Dynamics 365 Marketing of customers who received a commercial email in the last seven days. Users can add an except rule with contacts from that segment in other individual segments.
  • D. Create a single dynamic segment in audience insights of customers who received a commercial email in the last seven days. Make sure the segment is exported to Dynamics 365 Marketing. Users can add an except rule with contacts from that segment in other individual segments.

正解:D

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


質問 # 34
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 two to three transactions per customer ID. preferably across multiple dates.
  • B. There should be preferably two to three years of transactional data to predict CLV for one year.
  • C. There should be at least 100.000 unique customers to perform the CLV model.
  • D. The CLV model will not run if there is any missing data in the fields.

正解:A、B

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


質問 # 35
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. Yes
  • B. No

正解:A


質問 # 36
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.

正解:

解説:

Explanation


質問 # 37
The marketing team is working on a campaign to email cou
You need to ensure all data required to build the necessary segments is available in Microsoft Dynamics 365 Customer Insights.
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.

正解:

解説:

Explanation


質問 # 38
You are a Customer Data Platform Specialist. You created several customer segments. You want to identify differences between the segments that you created.
Which two statements are correct about using segment differentiations? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. You can only compare one segment with another segment.
  • B. You can compare a segment with the rest of your unified profiles or with another segment.
  • C. The lower the difference score, the more the attributes differ between the two segments.
  • D. The higher the difference score, the more the attributes differ between the two segments.

正解:B、D

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


質問 # 39
Your organization is implementing Microsoft Dynamics 365 Customer Insights. You want to make sure that you address duplicate records in your source data.
You need to define the deduplication rules to select which duplicate record should be kept.
Which three options should you select? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. Least recent
  • B. Importance
  • C. First imported
  • D. Most recent
  • E. Most filled

正解:A、D、E


質問 # 40
You are a Customer Data Platform Specialist. You are configuring a workflow for a custom model using an Azure Machine Learning batch pipeline. Configuring this type of model requires different parameters than Machine Learning Studio (Classic) models.
Which two configuration parameters are required specifically for Azure Machine Learning batch pipelines? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Output data store path
  • B. Entity name
  • C. Output data store parameter name
  • D. Web service that contains your model

正解:B、C

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


質問 # 41
You are a Customer Data Platform Specialist. You need to design a process to share the unified customer profile with the sales team. The sales team uses the Dynamics 365 Sales app for marketing list generation.
Which two conditions must be met to export segments needed by the sales team to the D365 Sales app? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. In order to export segment of customers who have Loyalty email to Dynamics 365 Sales, a connection to the Dynamics 365 Sales environment must be configured.
  • B. Dynamics 365 Sales Contacts must be ingested into audience insights as a data source and included in the unified customer profile.
  • C. In order to export segment of customers who have DOB to Dynamics 365 Sales to create marketing lists, a connection to the Dynamics 365 Sales environment must be configured.
  • D. Contacts do not have to be present in Dynamics 365 Sales because the export process will create new contact records if they do not already exist.

正解:B、C

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


質問 # 42
You are a Customer Data Platform Specialist. You completed unification and are looking to create relevant segments for your business. You want to identify insights on fields that overlap between segments.
Which statement is correct about using segment overlap?

  • A. Audience insights will automatically select the fields for overlap analysis when you create a new segment overlap.
  • B. Audience insights will recommend which fields may be the most insightful to use for segment overlap analysis.
  • C. You can select up to three fields to analyze for overlap analysis when you create a new segment overlap.
  • D. You can select one or more fields to analyze for overlap analysis when you create a new segment overlap.

正解:D

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


質問 # 43
You need to populate a marketing list in Dynamics 365 Sales with all the members of a segment in Microsoft Dynamics 365 Customer Insights. Which two conditions must be met? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

  • A. The segment in Dynamics 365 Customer Insights cannot contain more than 100,000 members.
  • B. Dynamics 365 Sales Contacts must be ingested into Dynamics 365 Customer Insights as a data source and included in the unified customer profile.
  • C. Sales team members must be assigned a role in Dynamics 365 Customer Insights to access the marketing list that is created in Dynamics 365
  • D. The email addresses of contacts in Dynamics 365 Sales must match the corresponding unified customer profile email address field in Dynamics 365 Customer Insights.

正解:B


質問 # 44
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 implementing Microsoft Dynamics 365 Customer Insights as your company's Customer Data Platform.
The initial dataset tables contain contacts from Dynamics 365 Sales. eCommerce customers, and service management platform incidents.
In your first unification run, you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts.
You need to ensure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights.
Solution: Adjust the first condition in the matching rule with the lowest precision.
Does this meet the goal?

  • A. No
  • B. Yes

正解:A


質問 # 45
You are a Customer Data Platform Specialist. Your company implemented audience insights as their Customer Data Platform.
While discussing the AI possibilities of audience insights with a campaign manager, you mention that the solution can suggest segments based on the activities of a profile. The campaign manager asks you to run a suggestion based on the sales order lines that are available in audience insights.
Which three factors will affect the segment suggestions? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. The number of days since the last order line
  • B. The number of order lines
  • C. The value of the order line
  • D. The specific activity relationship path(s).
  • E. The credit card or any specific attributes recorded at the order line

正解:A、B、C

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


質問 # 46
You are a Customer Data Platform Specialist. You are asked to create a household cluster to group profiles that share a set of demographic data points.
Which three actions should you perform in sequence to configure a household cluster? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

正解:

解説:

Explanation
Graphical user interface, text, application, chat or text message Description automatically generated

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/merge-entities#group-profile


質問 # 47
You are a Customer Data Platform Specialist. Your company uses both audience insights and Dynamics 365 Sales. To enhance the customer information within Dynamics 365, you asked the Dynamics 365 administrators to add the audience insights timeline as a Customer Card add-in control on the contact form.
The Dynamics 365 administrators asked you to update the company's Dynamics 365 user guide and explain how users can use the timeline.
Which action can users perform within the added customer card add-in timeline in Dynamics 365?

  • A. Delete the activity from the timeline.
  • B. Edit the activity from the timeline.
  • C. Filter the activities on the timeline.
  • D. Sort the activities on the timeline.
  • E. Open the activity from the timeline.

正解:C

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


質問 # 48
You are a Customer Data Platform Specialist. Dynamics 365 Customer Insights (CI) users have complained that they are not able to quickly find customers using main demographic data points. You must ensure users are able to search customers using any of the available fields.
Which two statements define the actions that should be completed to satisfy this requirement? Each option represents a partial solution.
NOTE: Each correct selection is worth one point.

  • A. On the Search and filter index pane, add Last Name, Full Name, Email. Cell Phone. Street Address, and DOB fields to Index. Click Save and Run.
  • B. On the Search and filter index pane. Add Last Name, FullName, Email, Home Phone. DOB fields to Index. Click Save and Run.
  • C. Validate you have access to edit the Search and index pages in audience insights.
  • D. You must run Merge in order to view the newly added fields on the customer profile.

正解:A、C

解説:
The following fields from the unified customer record should be added to index: Last Name, Full Name, Email, Cell Phone, Street Address, DOB.
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/search-filter-index


質問 # 49
Your manager asks you to delete all custom deduplications rules and create new ones for each regional data source. Customer records are considered duplicates if they contain:
1. Close match on first name,
2. Same last name.
3. Same street address, and
4. Same postal code
You need to complete the configuration of the deduplication matching conditions.

正解:

解説:

Explanation


質問 # 50
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. Segments
  • C. Search
  • D. Enrichments

正解:B

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


質問 # 51
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 remove any special characters in header, defining column types to be appropriate field types, remove any rows with missing primary key, and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Click "Next" and your data is now ready for unification.
Does this meet the goal?

  • A. No
  • B. Yes

正解:A

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


質問 # 52
You are a Customer Data Platform Specialist. You completed all the steps in the match phase of the data unification process in the audience insights. You need to review and validate your match results.
Which three metrics are available for you to validate the results? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.

  • A. Matched records only
  • B. All source records
  • C. Unique source records
  • D. Unique matched records
  • E. Matched and non-matched records

正解:A、C、E

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


質問 # 53
You recently configured a customer lifetime value (CIV) model.
You need to explain the training model performance to the marketing manager.
Which definition applies to each training model performance grade? To answer, drag the appropriate definitions to the correct grade values. 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 match is worth one point.

正解:

解説:

Explanation


質問 # 54
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. Intelligence
  • B. Measures
  • C. Data entities
  • D. Profiles
  • E. Enrichments

正解:B、D

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


質問 # 55
You are a Customer Data Platform Specialist. You are in the process of implementing audience insights at a bank.
You finished setting up the different initial data sources. You are starting the unification process.
Which three tasks do you need to perform in the Mapping phase of the unification process? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

  • A. Identify the entities that you need to unify into a single profile.
  • B. Identify the primary keys and semantic field types within the different entities.
  • C. Identify rules for duplication between different entities.
  • D. Identify the prioritization of similar fields between different entities.
  • E. Select the fields you want to include the unified customer profile.

正解:A、B、E

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


質問 # 56
......


Microsoft MB-260 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • データの不整合、予期しない値またはnull値、およびデータ品質の問題を照合
  • 解決するために、カスタマーインサイトのエンティティと属性を選択します
トピック 2
  • Dynamics 365アプリのカスタマーカードアドインを実装するために必要なアクセス許可を特定する
  • 顧客プロファイル、メジャー、またはAI予測からセグメントを作成する
トピック 3
  • システムの更新とデータソースの更新を区別する
  • カスタマーインサイトを使用してレポートを作成するためのユースケースを説明する
トピック 4
  • スケジュールされた更新の機能と制限を特定する
  • Microsoft PowerPlatformコンポーネントを使用してカスタマーインサイトを拡張するためのユースケースを説明する
トピック 5
  • 増分更新をサポートするデータソースを特定する
  • トランザクションチャーンおよびサブスクリプションチャーンモデルを含む、顧客チャーンモデルを構成および評価する
トピック 6
  • カスタマーインサイトでカスタムAzure機械学習モデルを使用するための前提条件を説明する
  • 空白のセグメントを含むセグメントを作成する方法を説明する
トピック 7
  • 低、中、高、正確、カスタムの精度の方法を区別する
  • Azure SynapseAnalyticsを使用してカスタマーインサイトデータを分析する
トピック 8
  • PowerAutomateまたはCustomerInsightsAPIを使用して更新をトリガーします
  • 管理対象データレイクと組織のデータレイクのどちらを使用するかを決定します
トピック 9
  • 試用環境と実稼働環境を区別する
  • 製品推奨モデルを構成および評価する
トピック 10
  • スケジュールされた更新とオンデマンド更新を構成する
  • Customer InsightsAPIの使用例を説明する
トピック 11
  • オーディエンスインサイトでエンゲージメントインサイトデータを消費するプロセスを説明する
  • オーディエンスインサイトのユースケースを説明する
トピック 12
  • 新規または既存の関係を使用してアクティビティを作成する
  • オーディエンスインサイトとエンゲージメントインサイトを区別する

 

高合格率MB-260テスト問題集解答と正解95問題と回答:https://jp.fast2test.com/MB-260-premium-file.html


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