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| 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問題無料 <<
数年以来の整理と分析によって開発されたData-Cloud-Consultant問題集は権威的で全面的です。Data-Cloud-Consultant問題集を利用して試験に合格できます。この問題集の合格率は高いので、多くのお客様からData-Cloud-Consultant問題集への好評をもらいました。Data-Cloud-Consultant問題集のカーバー率が高いので、勉強した問題は試験に出ることが多いです。だから、弊社の提供するData-Cloud-Consultant問題集を暗記すれば、きっと試験に合格できます。
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質問 # 73
What is the role of artificial intelligence (AI) in Data Cloud?
正解：C
解説：
* Role of AI in Data Cloud: Artificial intelligence (AI) plays a crucial role in Salesforce Data Cloud by leveraging data to generate insights and predictions that enhance customer interactions.
* Insights and Predictions:
AI Algorithms: Use machine learning algorithms to analyze vast amounts of customer data.
Predictive Analytics: Provide predictive insights, such as customer behavior trends, preferences, and potential future actions.
* Enhancing Customer Interactions:
Personalization: AI helps in creating personalized experiences by predicting customer needs and preferences.
Efficiency: Enables proactive customer service by predicting issues and suggesting solutions before customers reach out.
Marketing: Improves targeting and segmentation, ensuring that marketing efforts are directed towards the most promising leads and customers.
* Use Cases:
Recommendation Engines: Suggest products or services based on past behavior and preferences.
Churn Prediction: Identify customers at risk of leaving and engage them with retention strategies.
* Reference:
Salesforce Data Cloud AI Capabilities
Salesforce AI for Customer Interaction
質問 # 74
Which data model subject area defines the revenue or quantity for an opportunity by product family?
正解：C
解説：
Salesforce's Customer 360 Data Model documentation explicitly states that the Sales Order subject defines future revenue or quantity for an opportunity by product family and can roll that information up by territory, management role, or hierarchy. That wording directly maps to option C in this question. The Product subject area describes items that an organization plans to sell or track for service purposes; it does not define opportunity revenue or quantity. Engagement models interactions with parties, such as calls or messages, while Party models people, accounts, and related contact information. Because the question asks specifically about opportunity revenue or quantity organized by product family, Sales Order is the precise subject area defined by the Salesforce data model.
質問 # 75
A finance company that uses Data Cloud wants to simplify how its users can view all the various channels a customer engages with Which feature should the consultant recommend to meet this requirement?
正解：B
解説：
To simplify how users can view all the various channels a customer engages with, the best solution is to use Data Cloud to connect with analytic tools like Tableau . Here's why and how this works:
Understanding the Requirement
The finance company wants its users to have a consolidated view of all customer engagement channels (e.g., email, social media, website interactions, etc.). This requires:
Aggregating data from multiple sources into a unified platform.
Providing an intuitive and visual way to analyze and interpret the data.
Why Use Data Cloud with Analytic Tools like Tableau?
Data Cloud as a Centralized Data Hub :
Salesforce Data Cloud aggregates data from multiple sources (e.g., CRM, Marketing Cloud, external systems) into a unified platform. This ensures that all customer engagement data is available in one place.
Tableau for Advanced Visualization :
Tableau is a powerful analytics and visualization tool that integrates seamlessly with Salesforce Data Cloud.
It allows users to create interactive dashboards and reports that provide a comprehensive view of customer engagement across all channels.
Users can drill down into specific channels, analyze trends, and gain actionable insights without needing advanced technical skills.
Simplified User Experience :
By leveraging Tableau's intuitive interface, users can easily explore and understand customer engagement patterns without requiring deep knowledge of the underlying data structure.
Steps to Implement This Solution
Step 1: Ingest Data into Data Cloud
Ensure that all relevant customer engagement data (e.g., website visits, email interactions, social media activity) is ingested into Data Cloud from various sources.
Use Data Streams to bring in data from CRM, Marketing Cloud, and other external systems.
Step 2: Connect Data Cloud to Tableau
Navigate to Setup > Analytics > Tableau CRM in Salesforce.
Configure the integration between Data Cloud and Tableau to enable seamless data flow.
Step 3: Create Dashboards in Tableau
Use Tableau to build dashboards that consolidate customer engagement data from all channels.
Include visualizations such as bar charts, heatmaps, and trend lines to highlight key insights (e.g., most active channels, engagement frequency, etc.).
Step 4: Share Dashboards with Users
Publish the dashboards to Tableau Server or Tableau Online.
Provide access to the relevant users within the finance company so they can view and interact with the dashboards.
Why Not Other Options?
B: Use calculated insights to determine when and how to engage with various customers :
While calculated insights are useful for understanding customer behavior, they do not provide a consolidated view of all engagement channels. This option focuses more on decision-making rather than visualization.
C: Create segments based on the ingested data and insights to activate in Marketing Cloud :
Segmentation is valuable for targeting specific groups of customers, but it does not address the requirement to view all engagement channels in one place. Segments are more about grouping customers rather than providing a holistic view.
D: Use Data Cloud to ingest data from various available data sources :
While ingesting data is a critical first step, it does not solve the problem of simplifying how users view engagement channels. The focus here is on data ingestion, not visualization or analysis.
Conclusion
By connecting Data Cloud with Tableau , the finance company can provide its users with a simplified and visually intuitive way to view all customer engagement channels. This approach lever
質問 # 76
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.
1. Propensity to purchase
2. Has active membership
3. Work email address
Which data types should the consultant use when ingesting this data?
正解：C
質問 # 77
A financial services firm specializing in wealth management contacts a Data 360 Consultant with an Identity Resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single unified profile to maintain personalized service and accurate financial advice.
Which Identity Resolution strategy should the consultant put in place?
正解：C
解説：
Identity Resolution should use sufficiently discriminating criteria to prevent false-positive profile consolidation. Salesforce match rules can combine Individual attributes, such as first and last name, with Contact Point attributes such as email, phone, or address. All criteria within a particular match rule must be satisfied before that rule produces a match. Because members of the same household can legitimately share addresses and phone numbers, relying on either attribute alone creates a substantial risk of merging different people. Adding Individual-level criteria alongside contact-point criteria makes the rule more precise and preserves separate client profiles. Salesforce explicitly recommends adding criteria when matching accuracy is the priority. Therefore, C provides the strongest identity-resolution design for this wealth-management scenario.
質問 # 78
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