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copyright Data Cloud Accredited Professional Exam Sample Questions (Q62-Q67):
NEW QUESTION # 62
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?
- A. Review consent and privacy management policies
- B. Identify data sources
- C. Identify activation targets
- D. Obtain cross-organizational buy-in
Answer: D
Explanation:
This is the first thing a business stakeholder should focus on when considering a Data Cloudimplementation.
Obtaining cross-organizational buy-in involves aligning the goals and expectations of different teams and stakeholders who will use or contribute to Data Cloud. References:https://trailhead.copyright.com/content
/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform
NEW QUESTION # 63
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?
- A. Is Birthday
- B. Is Between
- C. Is Anniversary Of
- D. Is This Year
Answer: C
Explanation:
This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day, regardless of the year. Reference: https://help.copyright.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&type=5
NEW QUESTION # 64
Which data model subject area defines the revenue or quantity for an opportunity by product family?
- A. Product
- B. Party
- C. Sales Order
- D. Engagement
Answer: C
Explanation:
Explanation
The sales order subject area defines the revenue or quantity for an opportunity by product family. It also includes information about the opportunity stage, close date, and owner.
References:https://help.copyright.com/s/articleView?id=sf.c360_a_data_cloud_sales_order.htm&type=5
NEW QUESTION # 65
Which three actions can be applied to a previously created segment?
- A. Export
- B. Copy
- C. Inactivate
- D. Reactivate
- E. Delete
Answer: A,B,E
Explanation:
These three actions can be applied to apreviously created segment. You can export a segment to a CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with the same criteria.
References:https://help.copyright.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5
NEW QUESTION # 66
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?
- A. Use streaming insights for near real-time segmentation results.
- B. Use Einstein segmentation optimization to collect data from the last 24 hours.
- C. Use rapid segments with a publish interval of 1 hour.
- D. Use standard segment with a publish interval of 30 minutes.
Answer: A
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 :copyright 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.
copyright Documentation Reference :According to copyright'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 # 67
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