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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data Cloud Consultant Exam |
| Exam Number: | Data-Con-101 |
| Real Exam Qty: | 60–65 (including up to 5 unscored items) |
| Related Certifications: | Salesforce Certified Consultant |
| Passing Score: | 62% |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Format: | Multiple-select, Multiple-choice |
| Exam Duration: | 105 minutes |
| Exam Price: | USD 200 (+ applicable taxes) |
| Recommended Training: | Trailhead: Data Cloud Fundamentals (SDC101) Cert Prep: Salesforce Certified Data Cloud Consultant |
| Exam Registration: | Kryterion Webassessor Pearson VUE |
| Sample Questions: | Salesforce Data-Con-101 Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | No mandatory prerequisites; recommended 2+ years experience in data strategy, modeling, and Salesforce implementation |
| Official Syllabus URL: | https://trailheadacademy.salesforce.com/certificate/exam-data-cloud---Data-Con-101 |
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NEW QUESTION # 157
A consultant notices that the unified individual profile is not storing the latest email address.
Which action should the consultant take to troubleshoot this issue?
Answer: C
Explanation:
Understanding Unified Individual Profile:
The unified individual profile combines data from multiple sources to create a comprehensive view of each customer.
Reference: Salesforce Unified Profile Documentation
Issue with Latest Email Address:
If the latest email address is not being stored, the reconciliation rules, which determine how data from different sources is combined and updated, may be incorrectly configured.
Reference: Salesforce Data Reconciliation Overview
Reconciliation Rules:
These rules define which data source has priority and how conflicts are resolved when combining data.
Ensuring that these rules are correctly configured is essential for maintaining accurate and up-to-date profiles.
Reference: Salesforce Reconciliation Rules Guide
Steps to Troubleshoot:
Navigate to the reconciliation rules settings in Salesforce Data Cloud.
Review the current rules to ensure the correct handling of email addresses.
Verify that the rules prioritize the most recent data and handle duplicates appropriately.
Reference: Salesforce Reconciliation Rules Configuration Documentation
NEW QUESTION # 158
Northern Trail Outfitters (NTO) is getting ready to start ingesting its CRM data into Data Cloud.
While setting up the connector, which type of refresh should NTO expect when the data stream is deployed for the first time?
Answer: B
Explanation:
Data Stream Deployment: When setting up a data stream in Salesforce Data Cloud, the initial deployment requires a comprehensive data load.
Types of Refreshes:
Incremental Refresh: Only updates with new or changed data since the last refresh.
Manual Refresh: Requires a user to manually initiate the data load.
Partial Refresh: Only a subset of the data is refreshed.
Full Refresh: Loads the entire dataset into the system.
First-Time Deployment: For the initial deployment of a data stream, a full refresh is necessary to ensure all data from the source system is ingested into Salesforce Data Cloud.
References:
Salesforce Documentation: Data Stream Setup
Salesforce Data Cloud Guide
NEW QUESTION # 159
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?
Answer: B
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 # 160
A consultant wants to build a new audience in Data Cloud.
Which three criteria can the consultant include when building a segment?
Choose 3 answers
Answer: A,C,D
Explanation:
A segment is a subset of individuals who meet certain criteria based on their attributes and behaviors. A consultant can use different types of criteria when building a segment in Data Cloud, such as:
Direct attributes: These are attributes that describe the characteristics of an individual, such as name, email, gender, age, etc. These attributes are stored in the Profile data model object (DMO) and can be used to filter individuals based on their profile data.
Calculated Insights: These are insights that perform calculations on data in a data space and store the results in a data extension. These insights can be used to segment individuals based on metrics or scores derived from their data, such as customer lifetime value, churn risk, loyalty tier, etc.
Related attributes: These are attributes that describe the relationships of an individual with other DMOs, such as Email, Engagement, Order, Product, etc. These attributes can be used to segment individuals based on their interactions or transactions with different entities, such as email opens, clicks, purchases, etc.
The other two options are not valid criteria for building a segment in Data Cloud. Data stream attributes are attributes that describe the streaming data that is ingested into Data Cloud from various sources, such as Marketing Cloud, Commerce Cloud, Service Cloud, etc. These attributes are not directly available for segmentation, but they can be transformed and stored in data extensions using streaming data transforms.
Streaming insights are insights that analyze streaming data in real time and trigger actions based on predefined conditions. These insights are not used for segmentation, but for activation and personalization. References: Create a Segment in Data Cloud, Use Insights in Data Cloud, Data Cloud Data Model
NEW QUESTION # 161
The Data Cloud admin at Northern Trail Outfitters (NTO) wants to be proactively and immediately informed via Slack and email if any of the data streams fail for any reason. If this happens, a case should also be triggered as part of NTO's existing support and triage process, and reflected in its global monitoring dashboard.
What should a consultant recommend for these requirements?
Answer: B
Explanation:
To meet the requirement of being proactively and immediately informed via Slack and email if any data streams fail, and to trigger a case as part of the support process, the best solution is to use Salesforce Flows .
Here's why and how this works:
Understanding the Requirements :
The admin wants to be notified immediately via Slack and email when a data stream fails.
A case should also be created automatically to reflect the issue in the global monitoring dashboard.
This requires an automated process that integrates with both internal systems (e.g., Slack, email) and external workflows (e.g., case creation).
Why Salesforce Flows?
Salesforce Flows are highly flexible and can automate complex business processes. They can monitor system events (e.g., data stream failures) and trigger actions like sending notifications or creating records.
Flows can integrate seamlessly with Slack and email using platform events and action elements.
They can also create cases programmatically and update dashboards for real-time monitoring.
Steps to Implement This Solution :
Step 1: Navigate to Setup > Process Automation > Flows and create a new flow.
Step 2: Configure a Platform Event Trigger or Record-Triggered Flow to listen for data stream failure events.
Step 3: Add an action element to send a notification to Slack using the Slack Integration feature.
Step 4: Add another action element to send an email alert using the Send Email action.
Step 5: Add a step to create a Case record with details about the failure. Use predefined fields to populate relevant information (e.g., error message, timestamp).
Step 6: Update the global monitoring dashboard to reflect the newly created case. This can be done by linking the case to a report or dashboard component.
Why Not Other Options?
A). Data actions: While data actions can perform specific tasks on data, they are not designed for cross-system automation like sending Slack notifications or creating cases.
B). Data Cloud Query Editor: The Query Editor is used for querying and analyzing data but does not provide automation capabilities for notifications or case creation.
D). Salesforce reports and dashboards: Reports and dashboards are for visualizing data, not for triggering actions or automating workflows.
By using Salesforce Flows, NTO can achieve a fully automated and integrated solution that meets all the stated requirements.
NEW QUESTION # 162
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