順便提一下，可以從雲存儲中下載Testpdf Data-Cloud-Consultant考試題庫的完整版：https://drive.google.com/open?id=1R5MJEPiECnAiSjdoT8lXzVnp8OwM6zK-
Testpdf的Data-Cloud-Consultant考古題和實際的認證考試一樣，不僅包含了實際考試中的所有問題，而且考古題的軟體版完全類比了真實考試的氛圍。使用了Testpdf的考古題，你在參加考試時完全可以應付自如，輕鬆地獲得高分。
| Section | Objectives |
|---|---|
| Data Cloud Implementation and Use Cases | - Integration with Salesforce ecosystem - Common business use cases and solutions |
| Identity Resolution | - Identity resolution rules and matching strategies - Profile unification and resolution process |
| Data Cloud Fundamentals | - Core concepts of Salesforce Data Cloud - Data model and architecture overview |
| Data Governance and Compliance | - Data access controls and permissions - Data privacy and compliance considerations |
| Segmentation and Activation | - Segment creation and audience building - Activation to downstream systems |
| Data Ingestion and Data Modeling | - Data ingestion methods and connectors - Data spaces and object modeling concepts - Data mapping and transformation |
>> Data-Cloud-Consultant PDF <<
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問題 #107
The leadership team at Cumulus Financial has determined that customers who deposited more than $250,000 in the last five years and are not using advisory services will be the central focus for all new campaigns in the next year.
Which features support this use case?
答案：A
解題說明：
Understanding the Use Case:
The leadership team wants to focus on customers who have deposited more than $250,000 in the last five years and are not using advisory services.
Reference: Salesforce Data Cloud Use Case Documentation
Features Involved:
Calculated Insight: This feature helps derive metrics and values based on existing data. In this case, it can calculate total deposits over the last five years.
Segment: Segmentation allows targeting specific groups of customers based on defined criteria, such as total deposits and usage of advisory services.
Reference: Salesforce Calculated Insights and Segmentation Guide
Steps to Implement:
Create a Calculated Insight:
Navigate to Visual Insights Builder in Salesforce Data Cloud.
Create a new calculated insight to sum deposits for each customer over the last five years.
Create a Segment:
Use the Segment Canvas to create a new segment.
Apply filters to include customers with deposits over $250,000 and exclude those using advisory services.
Reference: Salesforce Calculated Insights Tutorial and Segment Creation Guide Practical Application:
Example: Identify high-value customers who are not leveraging additional services and target them with personalized marketing campaigns to promote advisory services.
Reference: Salesforce High-Value Customer Segmentation Case Study
問題 #108
A Data 360 Consultant has successfully ingested and mapped a custom schema for " Vehicle Insurance Policies " into a custom data model object (DMO) named Insurance_Policy__c. However, when a marketer attempts to create a new segment on the Individual object, the Insurance_Policy__c object is not accessible in Segment Builder.
What is the most likely reason for this behavior?
答案：C
解題說明：
Segment Builder exposes attributes according to the relationships that exist between the object being segmented and other DMOs in the Data 360 data model. If Insurance_Policy__c has no relationship path to the Individual DMO, Segment Builder cannot traverse from Individual to the insurance-policy records, so the DMO will not appear as an available related object. Salesforce documents that relationship cardinality determines whether a DMO appears as a direct or related attribute: 1:1 and N:1 relationships typically surface as direct attributes, while 1:N relationships surface as related attributes. Consequently, the mere existence and successful mapping of a custom DMO is insufficient. Value Suggestions affect convenient value selection, not DMO visibility, and there is no generic "enable for segmentation" switch that resolves a missing relationship.
問題 #109
Cloud Kicks received a Request to be Forgotten by a customer.
In which two ways should a consultant use Data Cloud to honor this request?
Choose 2 answers
答案：A,B
解題說明：
Explanation
To honor a Request to be Forgotten by a customer, a consultant should use Data Cloud in two ways:
* Add the Individual ID to a headerless file and use the delete from file functionality. This option allows the consultant to delete multiple Individuals from Data Cloud by uploading a CSV file with their IDs1. The deletion process is asynchronous and can take up to 24 hours to complete1.
* Use the Consent API to suppress processing and delete the Individual and related records from source data streams. This option allows the consultant to submit a Data Deletion request for an Individual profile in Data Cloud using the Consent API2. A Data Deletion request deletes the specified Individual entity and any entities where a relationship has been defined between that entity's identifying attribute and the Individual ID attribute2. The deletion process is reprocessed at 30, 60, and 90 days to ensure a full deletion2. The other options are not correct because:
* Deleting the data from the incoming data stream and performing a full refresh will not delete the existing data in Data Cloud, only the new data from the source system3.
* Using Data Explorer to locate and manually remove the Individual will not delete the related records from the source data streams, only the Individual entity in Data Cloud. References:
* Delete Individuals from Data Cloud
* Requesting Data Deletion or Right to Be Forgotten
* Data Refresh for Data Cloud
* [Data Explorer]
問題 #110
A consultant is setting up a data stream with transactional data,
Which field type should the consultant choose to ensure that leading
zeros in the purchase order number are preserved?
答案：D
解題說明：
The field type Text should be chosen to ensure that leading zeros in the purchase order number are preserved.
This is because text fields store alphanumeric characters as strings, and do not remove any leading or trailing characters. On the other hand, number, decimal, and serial fields store numeric values as numbers, and automatically remove any leading zeros when displaying or exporting the data123. Therefore, text fields are more suitable for storing data that needs to retain its original format, such as purchase order numbers, zip codes, phone numbers, etc. References:
* Zeros at the start of a field appear to be omitted in Data Exports
* Keep First '0' When Importing a CSV File
* Import and export address fields that begin with a zero or contain a plus symbol
問題 #111
A consultant is discussing the benefits of Data Cloud with a customer that has multiple disjointed data sources.
Which two functional areas should the consultant highlight in relation to managing customer data?
Choose 2 answers
答案：C,D
解題說明：
Data Cloud is an open and extensible data platform that enables smarter, more efficient AI with secure access to first-party and industry data1. Two functional areas that the consultant should highlight in relation to managing customer data are:
Data Harmonization: Data Cloud harmonizes data from multiple sources and formats into a common schema, enabling a single source of truth for customer data1. Data Cloud also applies data quality rules and transformations to ensure data accuracy and consistency.
Unified Profiles: Data Cloud creates unified profiles of customers and prospects by linking data across different identifiers, such as email, phone, cookie, and device ID1. Unified profiles provide a holistic view of customer behavior, preferences, and interactions across channels and touchpoints. The other options are not correct because:
Master Data Management: Master Data Management (MDM) is a process of creating and maintaining a single, consistent, and trusted source of master data, such as product, customer, supplier, or location data.
Data Cloud does not provide MDM functionality, but it can integrate with MDM solutions to enrich customer data.
Data Marketplace: Data Marketplace is a feature of Data Cloud that allows users to discover, access, and activate data from third-party providers, such as demographic, behavioral, and intent data. Data Marketplace is not a functional area related to managing customer data, but rather a source of external data that can enhance customer data. References:
Salesforce Data Cloud
[Data Harmonization for Data Cloud]
[Unified Profiles for Data Cloud]
[What is Master Data Management?]
[Integrate Data Cloud with Master Data Management]
[Data Marketplace for Data Cloud]
問題 #112
......
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Data-Cloud-Consultant認證題庫: https://www.testpdf.net/Data-Cloud-Consultant.html
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