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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Data 360 Consultant |
| Exam Number: | Data-Con-101 |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Passing Score: | 63% |
| Exam Duration: | 90 minutes |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Salesforce Certified Data Architect Salesforce Certified Administrator |
| Exam Price: | $200 USD |
| Exam Format: | Multiple Select, Multiple Choice |
| Sample Questions: | Salesforce Data-Cloud-Consultant Sample Questions |
| Exam Way: | Online proctored exam |
| Pre Condition: | Recommended: Salesforce Administrator certification and hands-on experience with Data Cloud implementation |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/data360consultant |
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NEW QUESTION # 78
Which permission setting should a consultant check if the custom Salesforce CRM object is not available in New Data Stream configuration?
Answer: C
Explanation:
To create a new data stream from a custom Salesforce CRM object, the consultant needs to confirm that the View All object permission is enabled in the source Salesforce CRM org. This permission allows the user to view all records associated with the object, regardless of sharing settings1. Without this permission, the custom object will not be available in the New Data Stream configuration2. References:
* Manage Access with Data Cloud Permission Sets
* Object Permissions
NEW QUESTION # 79
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
Answer: D
Explanation:
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. Reference: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions
NEW QUESTION # 80
Northern Trail Outfitters wants to create a segment with customers that have purchased in the last 24 hours.
The segment data must be as up to date as possible.
What should the consultant Implement when creating the segment?
Answer: C
Explanation:
To address Northern Trail Outfitters' requirement of creating a segment with customers who have purchased in the last 24 hours, while ensuring the data is as up to date as possible, streaming insights is the most appropriate solution. Here's why:
Understanding Streaming Insights :Salesforce Data Cloud provides Streaming Insights , which enables near real-time data processing and segmentation. This feature allows businesses to capture and act on customer interactions or transactions almost instantly, making it ideal for time-sensitive use cases like identifying recent purchasers.
Why Not Other Options?
Option B (Einstein Segmentation Optimization) : Einstein Segmentation Optimization focuses on improving segment performance using AI but does not inherently provide near real-time data updates. It is more about refining existing segments rather than ensuring low-latency data availability.
Option C (Rapid Segments with a Publish Interval of 1 Hour) : Rapid Segments are faster than standard segments but still involve a delay due to the publish interval. A 1-hour interval would not meet the "as up to date as possible" requirement.
Option D (Standard Segment with a Publish Interval of 30 Minutes) : Standard segments are processed less frequently and typically involve longer delays. Even with a 30-minute interval, this option cannot match the near real-time capabilities of streaming insights.
How Streaming Insights Works :
Streaming Insights processes data from connected sources (e.g., CRM, external systems) in near real-time.
When a customer makes a purchase, the transaction data is ingested into Data Cloud and immediately available for segmentation.
The consultant can configure a segment rule to include only customers whose purchase timestamp falls within the last 24 hours.
Salesforce Documentation Reference :According to Salesforce's official Data Cloud documentation, Streaming Insights is designed for scenarios where timely data is critical. It ensures that segments reflect the latest customer behavior without significant delays, aligning perfectly with Northern Trail Outfitters' needs.
NEW QUESTION # 81
A Data CloudConsultantIs in the process of setting up data streams for a new service-based data source.
When ingesting Case data, which field is recommended to be associated with the Event Time field?
Answer: B
Explanation:
Explanation
The Event Time field is a special field type that captures the timestamp of an event in a data stream. It is used to track the chronological order of events and to enable time-based segmentation and activation. When ingesting Case data, the recommended field to be associated with the Event Time field is the Last Modified Date field. This field reflects the most recent update to the case and can be used to measure the case duration, resolution time, and customer satisfaction. The other fields, such as Resolution Date, Escalation Date, or Creation Date, are not as suitable for the Event Time field, as they may not capture the latest status of the case or may not be applicable for all cases. References: Data Stream Field Types, Salesforce Data Cloud Exam Questions
NEW QUESTION # 82
An analyst from Cloud Kicks needs to get quick Insights to determine the average sales per day during the past week.
What should a consultant recommend?
Answer: A
Explanation:
To help the analyst from Cloud Kicks determine the average sales per day during the past week, Salesforce Reports is the most efficient and straightforward solution. Here's a detailed breakdown:
Understanding Salesforce Reports :Salesforce Reports is a native tool within the Salesforce platform that allows users to create, customize, and analyze data in various formats. It is particularly well-suited for quick insights and ad-hoc analysis without requiring complex development or integrations.
Why Not Other Options?
Option A (Salesforce Flows) : While Salesforce Flows is a powerful automation tool, it is not designed for analytical purposes. Creating a flow to calculate average sales per day would require additional configuration and logic, making it unnecessarily complex for this use case.
Option B (Lightning Web Component Utilizing Query API) : Using a Lightning Web Component with the Query API involves custom development. While this approach is flexible, it is overkill for a simple analytical task like calculating average sales.
Option D (Segment Activation to Azure) : Segment activation refers to exporting segmented customer data to external platforms like Azure. This process is unrelated to generating quick insights and would introduce unnecessary complexity for this requirement.
How Salesforce Reports Can Be Used :
Step 1: Create a Report : Navigate to the Salesforce Reports tab and create a new report based on the relevant object (e.g., Opportunities or Orders).
Step 2: Filter by Date Range : Apply a filter to include only records from the past week. For example, set the
"Close Date" field to "Last Week."
Step 3: Add Summary Fields : Use summary formulas or grouping to calculate total sales for each day. Then, compute the average sales per day by dividing the total sales by the number of days in the range.
Step 4: Run the Report : Execute the report to view the results instantly.
Salesforce Documentation Reference :Salesforce's official documentation highlights that Reports are the go-to tool for analyzing and summarizing data quickly. They are designed to provide actionable insights without requiring advanced technical skills, making them ideal for tasks like calculating average sales.
By leveraging Salesforce Reports, the analyst can efficiently obtain the required insights without additional development or integration efforts.
NEW QUESTION # 83
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