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[General] Exam Data-Con-101 Price - Data-Con-101 Vce Files

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【General】 Exam Data-Con-101 Price - Data-Con-101 Vce Files

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Salesforce Certified Data Cloud Consultant Sample Questions (Q130-Q135):NEW QUESTION # 130
Northern Trail Outfitters (NTO) is configuring an identity resolution ruleset based on Fuzzy Name and Normalized Email.
What should NTO do to ensure the best email address is activated?
  • A. Set the default reconciliation rule to Last Updated.
  • B. Use the source priority order in activations to make sure a contact point from the desired sourceis delivered to the activation target.
  • C. Include Contact Point Email object Is Active field as a match rule.
  • D. Ensure Marketing Cloud is prioritized as the first data source in the Source Priority reconciliationrule.
Answer: B
Explanation:
NTO is using Fuzzy Name and Normalized Email as match rules to link together data from different sources into a unified individual profile. However, there might be cases where the same email address is available from more than one source, and NTO needs to decide which one to use for activation. For example, if Rachel has the same email address in Service Cloud and Marketing Cloud, but prefers to receive communications from NTO via Marketing Cloud, NTO needs to ensure that the email address from Marketing Cloud is activated. To do this, NTO can use the source priority order in activations, which allows them to rank the data sources in order of preference for activation. By placing Marketing Cloud higher than Service Cloud in the source priority order, NTO can make sure that the email address from Marketing Cloud is delivered to the activation target, such as an email campaign or a journey. This way, NTO can respect Rachel's preference and deliver a better customer experience. References: Configure Activations, Use Source Priority Order in Activations

NEW QUESTION # 131
A consultant is troubleshooting a segment error.
Which error message is solved by using calculated insights Instead of nested segments?
  • A. Segment can't be published.
  • B. Multiple population counts are in progress.
  • C. Segment is too complex.
  • D. Segment population count failed.
Answer: C
Explanation:
Segment Errors in Data Cloud: Segments in Salesforce Data Cloud can encounter errors due to various reasons, including complexity and nested segments.
Calculated Insights vs. Nested Segments:
Complex Segments: If a segment is too complex due to extensive nesting or numerous conditions, it can lead to errors.
Simplification with Calculated Insights: Using calculated insights can simplify segment creation by pre- computing and storing complex logic or aggregations, which can then be referenced directly in the segment.
Solution:
Step 1: Identify the segment causing the "Segment is too complex" error.
Step 2: Break down complex logic into calculated insights.
Step 3: Use these calculated insights in segment definitions to reduce complexity.
References:
Salesforce Data Cloud Calculated Insights
Salesforce Data Cloud Segment Creation

NEW QUESTION # 132
A consultant needs to update a field in CRM as soon as a record gets updated in the DMO.
Which feature should the consultant use?
  • A. Data actions
  • B. Streaming data transform
  • C. Rapid segments
  • D. Data share target
Answer: A
Explanation:
When a record in the Data Model Object (DMO) is updated, Data Actions can be used to immediately trigger updates in an external system like Salesforce CRM.
Data Actions allow for real-time or near-real-time updates to external systems.
When a record in the DMO is updated, a Data Action can push updates to CRM fields.
This ensures that CRM always reflects the latest Data Cloud updates without manual intervention.
Why Not A?
Data Share Targets are used for sharing data externally (e.g., Snowflake) but do not update CRM fields directly.
Why Not C?
Rapid Segments are used for fast audience segmentation, not for updating CRM fields.
Why Not D?
Streaming Data Transforms are used for real-time data processing, but they do not update CRM fields directly.
# Salesforce Data Cloud Reference:
Salesforce Help Documentation - Data Actions Overview
Trailhead Module: Automating Data Updates with Data Actions
Salesforce Knowledge Base - Best Practices for Keeping CRM and Data Cloud in Sync

NEW QUESTION # 133
Cumulus Financial (CF) wants to target loyal and engaged customers. When a platinum tier customer visits their Investment pages more than three times in a 24-hour period, CF wants to Immediately Send an email that offers a private consultation.
What should a consultant recommend for this business requirement?
  • A. Calculated insight with a data action to a Marketing Cloud Engagement transactional email
  • B. Streaming insight with a data action into a journey in Marketing Cloud Engagement
  • C. Standard segment with activation into Marketing Cloud Engagement
  • D. Rapid segment to a data action journey in Marketing Cloud Engagement
Answer: B
Explanation:
To meet the requirement of targeting loyal and engaged customers (platinum-tier customers visiting investment pages more than three times in 24 hours) and sending an immediate email offering a private consultation, the best solution is to use a streaming insight with a data action into a journey in Marketing Cloud Engagement . Here's why:
Understanding the Requirement
The company wants to identify platinum-tier customers who visit their Investment pages more than three times within a 24-hour period.
Once identified, these customers should immediately receive an email offering a private consultation.
This requires real-time monitoring of customer behavior and triggering an automated response.
Why Streaming Insight with a Data Action?
Streaming Insights for Real-Time Monitoring :
A streaming insight in Salesforce Data Cloud monitors customer interactions in real time.
It can detect when a platinum-tier customer visits the Investment pages more than three times within 24 hours.
Data Actions for Immediate Response :
A data action allows you to trigger specific actions based on the insights generated.
In this case, the data action would send the customer's information to a journey in Marketing Cloud Engagement to initiate the email campaign.
Journey in Marketing Cloud Engagement :
Marketing Cloud Engagement journeys are designed to automate personalized marketing activities, such as sending transactional emails.
By integrating the streaming insight with a journey, the system can immediately send the email offering a private consultation.
Steps to Implement This Solution
Step 1: Create a Streaming Insight
Navigate to Data Cloud > Insights > Streaming Insights .
Define the criteria for identifying platinum-tier customers who visit the Investment pages more than three times in 24 hours.
Step 2: Configure a Data Action
Set up a data action that sends the identified customer's information to Marketing Cloud Engagement.
Ensure the data action includes relevant details (e.g., customer ID, email address).
Step 3: Build a Journey in Marketing Cloud Engagement
In Marketing Cloud Engagement, create a journey that listens for incoming data from the data action.
Configure the journey to send a personalized email offering a private consultation.
Step 4: Test and Deploy
Test the entire workflow to ensure that the streaming insight triggers the data action and that the email is sent immediately.
Why Not Other Options?
A). Calculated insight with a data action to a Marketing Cloud Engagement transactional email :Calculated insights are not designed for real-time monitoring. They are better suited for batch processing or periodic calculations, making them unsuitable for this use case.
B). Rapid segment to a data action journey in Marketing Cloud Engagement :While rapid segments are useful for quickly grouping customers, they do not provide the real-time detection required for this scenario.
C). Standard segment with activation into Marketing Cloud Engagement :Standard segments are static or periodically updated and cannot respond to real-time customer behavior.
Conclusion
By using a streaming insight with a data action into a journey in Marketing Cloud Engagement , Cumulus Financial can achieve real-time monitoring and immediate engagement with its loyal customers.

NEW QUESTION # 134
What is a key functionality of Data Cloud?
  • A. To give a persistent ID for unified profiles
  • B. To create a master data management (MUM) strategy
  • C. To help users build a heat map using their data
  • D. To build insights on unified profiles
Answer: D
Explanation:
A key functionality of Salesforce Data Cloud is its ability to build insights on unified profiles . Here's why this is the correct answer:
Understanding the Functionality of Data Cloud
Salesforce Data Cloud is designed to aggregate, unify, and analyze customer data from multiple sources.
Its primary purpose is to provide actionable insights that drive personalized customer experiences.
Why Build Insights on Unified Profiles?
Unified Profiles :
Data Cloud creates a unified profile by combining data from various sources (e.g., CRM, Marketing Cloud, external systems).
This single view of the customer enables organizations to understand behaviors, preferences, and interactions across touchpoints.
Building Insights :
Insights derived from unified profiles help organizations make data-driven decisions.
Examples include identifying high-value customers, predicting churn, and personalizing marketing campaigns.
Other Options Are Less Relevant :
A). To create a master data management (MDM) strategy : While Data Cloud supports data unification, it is not primarily an MDM tool.
B). To give a persistent ID for unified profiles : Persistent IDs are a feature of unified profiles but not the core functionality of Data Cloud.
D). To help users build a heat map using their data : Heat maps are a visualization tool, not a core functionality of Data Cloud.
Steps to Build Insights on Unified Profiles
Step 1: Ingest Data
Bring in customer data from multiple sources into Data Cloud.
Step 2: Create Unified Profiles
Use identity resolution to merge related records into a single unified profile.
Step 3: Analyze Data
Use tools like calculated insights, segments, and dashboards to derive actionable insights.
Step 4: Activate Insights
Use the insights to personalize customer experiences in downstream systems (e.g., Marketing Cloud, Sales Cloud).
Conclusion
The key functionality of Salesforce Data Cloud is to build insights on unified profiles , enabling organizations to deliver personalized and impactful customer experiences.

NEW QUESTION # 135
......
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