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Salesforce Data-Cloud-Consultant Exam Overview:

Certification Vendor:Salesforce
Exam Name:Salesforce Certified Data Cloud Consultant Exam
Exam Number:Data-Cloud-Consultant
Available Languages:English
Recommended Training:Salesforce Trailhead Data Cloud Learning
Exam Registration:Salesforce Credentials
Sample Questions:Salesforce Data-Cloud-Consultant Sample Questions
Official Syllabus URL:https://trailhead.salesforce.com/credentials

>> Data-Cloud-Consultant參考資料 <<

Data-Cloud-Consultant考試資訊 - Data-Cloud-Consultant考試證照綜述

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Salesforce Data-Cloud-Consultant 考試大綱：

主題簡介
主題 1
  • Data Cloud Overview: This topic covers Data Cloud's function, key terminology, business value, typical use cases, the Data Cloud lifecycle, dependencies, and principles of data ethics. These sub-topics provide an overview of Data Cloud's capabilities and applications.
主題 2
  • Act on Data: This topic defines activations and their basic use cases, using attributes and related attributes, identifying and analyzing timing dependencies affecting the Data Cloud lifecycle. Additionally it focuses on troubleshooting common problems with activations, and using data actions, including their requirements and intended use cases.
主題 3
  • Segmentation and Insights: This topic defines basic concepts of segmentation and use cases, identifies scenarios for analyzing segment membership, configuring, refining, and maintaining segments within Data Cloud, and differentiating between calculated and streaming insights.

最新的 Salesforce Data Cloud Data-Cloud-Consultant 免費考試真題 (Q88-Q93):

問題 #88
Which functionality does Data Cloud offer to improve customer support interactions when a customer is working with an agent?

答案：D

解題說明：
* Customer Support in Salesforce Data Cloud: One of the key benefits of Salesforce Data Cloud is its ability to enhance customer support by providing comprehensive and real-time customer data.
* Real-Time Data Integration: This functionality allows customer support agents to access the most up-to-date customer information, improving their ability to respond to customer inquiries and issues effectively.
* Benefits for Customer Support:
Immediate Access: Agents have real-time access to customer interactions and data, ensuring they can provide accurate and timely support.
Contextual Information: The integrated data provides a holistic view of the customer's history and preferences, allowing for more personalized support interactions.
* Use Case: When a customer contacts support, the agent can see real-time updates on recent purchases, interactions, and any ongoing issues, enabling them to resolve queries quickly and efficiently.
* Reference:
Salesforce Data Cloud for Customer Support
Real-Time Data Integration in Salesforce


問題 #89
Northern Trail Outfitters (NTD) creates a calculated insight to computerecency, frequency, monetary {RFM) scores on its unified individuals. NTO then creates a segment based on these scores that it activates to a Marketing Cloud activation target.
Which two actions are required when configuring the activation?
Choose 2 answers

答案：C,D

解題說明：
Explanation
To configure an activation to a Marketing Cloud activation target, you need to choose a segment and select contact points. Choosing a segment allows you to specify which unified individuals you want to activate.
Selecting contact points allows you to map the attributes from the segment to the fields in the Marketing Cloud data extension. You do not need to add additional attributes or add the calculated insight in the activation, as these are already part of the segment definition. References: Create a Marketing Cloud Activation Target; Types of Data Targets in Data Cloud


問題 #90
A consultant needs to publish segment data to the Audience DMO that can be retrieved using the Query APIs.
When creating the activation target, which type of target should the consultant select?

答案：D

解題說明：
Purpose of Activation Targets:
* Activation targets define where and how segment data is published for use in various applications and platforms.


問題 #91
A customer has a Master Customer table from their CRM to ingest into Data Cloud. The table contains a name and primary email address, along with other personally Identifiable information (Pll).
How should the fields be mapped to support identity resolution?

答案：B

解題說明：
Explanation
To support identity resolution in Data Cloud, the fields from the Master Customer table should be mapped to the standard data model objects that are designed for this purpose. The Individual object is used to store the name and other personally identifiable information (PII) of a customer, while the Contact Phone Email object is used to store the primary email address and other contact information of a customer. These objects are linked by a relationship field that indicates the contact information belongs to the individual. By mapping the fields to these objects, Data Cloud can use the identity resolution rules to match and reconcile the profiles from different sources based on the name and email address fields. The other options are not recommended because they either create a new custom object that is not part of the standard data model, or map all fields to the Customer object that is not intended for identity resolution, or map all fields to the Individual object that does not have a standard email address field. References: Data Modeling Requirements for Identity Resolution, Create Unified Individual Profiles


問題 #92
A Data 360 Consultant wants to perform aggregations in 15-minute windows on data collected via the Interactions SDK or Mobile SDK. Which method should the consultant use?

答案：A

解題說明：
The core Data 360 principle is harmonization: bring data from multiple systems into a governed model that business teams can use consistently. Streaming insight is the strongest answer because Data 360 is designed to unify, harmonize, and activate customer and business data across systems. The platform is not merely a dashboard, archive, or point solution. The distractors fall short because they either move the problem into the wrong system, add needless duplication, ignore Data 360 object relationships, or rely on a feature built for a different lifecycle stage. In a real implementation, those choices usually create brittle pipelines, stale data, security exposure, or segments that look correct on paper but fail when activated. Thinking like an architect, the selected option places the logic where Data 360 can govern it and reuse it reliably. This is the nuance exam questions often test: the platform capability must match both the technical layer and the business timing requirement, not just sound related to data.


問題 #93
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