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人們相信需要一個標準化的、多國的、令人信服的考試來驗證個人在 Salesforce上技能的等級。同時，這個考試必須有利於公司雇用 Salesforce 方面專業人才。為了實現這壹目的，Salesforce 專家機構聯合多方力量設計和完善了 Data-Cloud-Consultant 認證考試。Salesforce 專家機構通過全球的發展使之成為一個倍受公認和廣泛認可的 Data-Cloud-Consultant 認證考試體系。用戶應該可以自由選擇，在認證 Salesforce 最高級工程師這壹關鍵領域不應固定於一個廠商。

最新的 Salesforce Data Cloud Data-Cloud-Consultant 免費考試真題 (Q37-Q42):

問題 #37
Cumulus Financial uses Data Cloud to segment banking customers and activate them for direct mail via a Cloud File Storage activation. The company also wants to analyze individuals who have been in the segment within the last 2 years.
Which Data Cloud component allows for this?

A. Segment exclusion
B. Segment membership data model object
C. Calculated insights
D. Nested segments

答案：B

解題說明：
Explanation
The segment membership data model object is a Data Cloud component that allows for analyzing individuals who have been in a segment within a certain time period. The segment membership data model object is a table that stores the information about which individuals belong to which segments and when they were added or removed from the segments. This object can be used to create calculated insights, such as segment size, segment duration, segment overlap, or segment retention, that can help measure the effectiveness of segmentation and activation strategies. The segment membership data model object can also be used to create nested segments or segment exclusions based on the segment membershipcriteria, such as segment name, segment type, or segment date range. The other options are not correct because they are not Data Cloud components that allow for analyzing individuals who have been in a segment within the last 2 years. Nested segments and segment exclusions are features that allow for creating more complex segments based on existing segments, but they do not provide the historical data about segment membership. Calculated insights are custom metrics or measures that are derived from data model objects or data lake objects, but they do not store the segment membership information by themselves. References: Segment Membership Data Model Object, Create a Calculated Insight, Create a Nested Segment

問題 #38
During an implementation project, a consultant completed ingestion of all data streams for their customer.
Prior to segmenting and acting on that data, which additional configuration is required?

A. Calculated Insights
B. Identity Resolution
C. Data Mapping
D. Data Activation

答案：B

解題說明：
Explanation
After ingesting data from different sources into Data Cloud, the additional configuration that is required before segmenting and acting on that data is Identity Resolution. Identity Resolution is the process of matching and reconciling source profiles from different data sources and creating unified profiles that represent a single individual or entity1. Identity Resolution enables you to create a 360-degree view of your customers and prospects, and to segment and activate them based on their attributes and behaviors2. To configure Identity Resolution, you need to create and deploy a ruleset that defines the match rules and reconciliation rules for your data3. The other options are incorrect because they are not required before segmenting and acting on the data. Data Activation is the process of sending data from Data Cloud to other Salesforce clouds or external destinations for marketing, sales, or service purposes4. Calculated Insights are derived attributes that are computed based on the source or unified data, such as lifetime value, churn risk, or product affinity5. Data Mapping is the process of mapping source attributes to unified attributes in the data model. These configurations can be done after segmenting and acting on the data, or in parallel with Identity Resolution, but they are not prerequisites for it. References: Identity Resolution Overview, Segment and Activate Data in Data Cloud, Configure Identity Resolution Rulesets, Data Activation Overview, Calculated Insights Overview,
[Data Mapping Overview]

問題 #39
Every day, Northern Trail Outfitters uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than seven days are automatically deleted. Each file contains a timestamp in a standardized naming convention.
Which two options should a consultant configure when ingesting this data stream?
Choose 2 answers

A. Ensure that deletion of old files is enabled.
B. Ensure the refresh mode is set to "Full Refresh.''
C. Ensure the refresh mode is set to "Upsert".
D. Ensure the filename contains a wildcard to a accommodate the timestamp.

答案：C,D

解題說明：
When ingesting data from an Amazon S3 bucket, the consultant should configure the following options:
* The refresh mode should be set to "Upsert", which means that new and updated records will be added or updated in Data Cloud, while existing records will be preserved. This ensures that the data is always up to date and consistent with the source.
* The filename should contain a wildcard to accommodate the timestamp, which means that the file name pattern should include a variable part that matches the timestamp format. For example, if the file name is store_transactions_2023-12-18.csv, the wildcard could be store_transactions_*.csv. This ensures that the ingestion process can identify and process the correct file every day.
The other options are not necessary or relevant for this scenario:
* Deletion of old files is a feature of the Amazon S3 bucket, not the Data Cloud ingestion process. Data Cloud does not delete any files from the source, nor does it require the source files to be deleted after ingestion.
* Full Refresh is a refresh mode that deletes all existing records in Data Cloud and replaces them with the records from the source file. This is not suitable for this scenario, as it would result in data loss and inconsistency, especially if the source file only contains the summary of the last 24 hours of
* transactions. References: Ingest Data from Amazon S3, Refresh Modes

問題 #40
Cumulus Financial created a segment called High Investment Balance Customers. This is a foundational segment that includes several segmentation criteria the marketing team should consistently use.
Which feature should the consultant suggest the marketing team use to ensure this consistency when creating future, more refined segments?

A. Package High Investment Balance Customers in a data kit.
B. Create a High Investment Balance calculated insight.
C. Create new segments using nested segments.
D. Create new segments by cloning High Investment Balance Customers.

答案：C

解題說明：
Nested segments are segments that include or exclude one or more existing segments. They allow the marketing team to reuse filters and maintain consistency in their data by using an existing segment to build a new one. For example, the marketing team can create a nested segment that includes High Investment Balance Customers and excludes customers who have opted out of email marketing. This way, they can leverage the foundational segment and apply additional criteria without duplicating the rules. The other options are not the best features to ensure consistency because:
B: A calculated insight is a data object that performs calculations on data lake objects or CRM data and returns a result. It is not a segment and cannot be used for activation or personalization.
C: A data kit is a bundle of packageable metadata that can be exported and imported across Data Cloud orgs. It is not a feature for creating segments, but rather for sharing components.
D: Cloning a segment creates a copy of the segment with the same rules and filters. It does not allow the marketing team to add or remove criteria from the original segment, and it may create confusion and redundancy. References: Create a Nested Segment - Salesforce, Save Time with Nested Segments (Generally Available) - Salesforce, Calculated Insights - Salesforce, Create and Publish a Data Kit Unit Salesforce Trailhead, Create a Segment in Data Cloud - Salesforce

問題 #41
A user is not seeing suggested values from newly-modeled data when building a segment.
What is causing this issue?

A. Value suggestion requires Data Aware Specialist permissions at a minimum.
B. Value suggestion is still processing and to be available.
C. Value suggestion will only return result for the first 50 values of a specific attribute.
D. Value suggestion can only work on direct attributes and not related attributes.

答案：B

解題說明：
Explanation
Value suggestion is a feature that allows users to see suggested values for data model object (DMO) fields when creating segment filters. However, this feature can take up to 24 hours to process and display the values for newly-modeled data. Therefore, if a user is not seeing suggested values from newly-modeled data, it is likely that the value suggestion is still processing and will be available soon. The other options are incorrect because value suggestion does not require any specific permissions, can work on both direct and related attributes, and can return more than 50 values for a specific attribute, depending on the data type and frequency of the values. References: Use Value Suggestions in Segmentation, Data Cloud Limits and Guidelines

問題 #42
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最新Data-Cloud-Consultant考題和資格考試中的領先提供商和Data-Cloud-Consultant學習筆記

最真實的Data-Cloud-Consultant認證考試資料匯總

最新的 Salesforce Data Cloud Data-Cloud-Consultant 免費考試真題 (Q37-Q42):

有用的最新Data-Cloud-Consultant考題＆認證考試材料的領導者和一流的Data-Cloud-Consultant學習筆記

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