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Salesforce Salesforce-Data-Cloud難易度、Salesforce-Data-Cloudトレーリング学習
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Salesforce-Data-Cloud試験問題を選択した後は、プロセス全体を主導する傾向があるため、販売後のサービスプロバイダーとして常に知られています。したがって、Salesforce-Data-Cloudラーニングガイドについて悩む必要はありません。 Salesforce-Data-Cloudトレーニング資料は、パフォーマンスの向上とSalesforce-Data-Cloud試験の包括的なサービスに対する情熱を引き続き追求します。世界中のアフターセールススタッフがオンラインになり、お客様の疑問を安心させるだけでなく、すべての顧客に対する困難や不安を排除します。パズルを教えてください。一緒に考えてみましょう。
Salesforce Data Cloud Accredited Professional Exam 認定 Salesforce-Data-Cloud 試験問題 (Q21-Q26):
質問 # 21
Which feature can integrate in real time with Salesforce CRM?
- A. CRM Starter Bundle
- B. Data Actions
- C. Data Model Triggers
- D. Identity Resolution
正解:B
解説:
This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform actions on Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting records. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm&type=5
質問 # 22
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. Rapid segment to a data action journey in Marketing Cloud Engagement
- D. Standard segment with activation into Marketing Cloud Engagement
正解:B
解説:
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.
質問 # 23
A rideshare company wants to send an email to customers that provides a year-in-review with five "fun" trip statistics, such as destination, distance traveled, etc. This raw data arrives into Data Cloud and is not aggregated at source.
The company creates a segment of customers that had at least one ride in the last 365 days.
Following best practices, which solution should the consultant recommend in Data Cloud to personalize the content of the email?
- A. Include related attributes in the activation for the last 365 days.
- B. Create five calculated insights for the activation and add dimension filters.
- C. Use a data action to send each ride as an event to Marketing Cloud Engagement, then use AMP script to summarize this data in the email.
- D. Use a data transform to aggregate the statistics and map them to direct attributes on Individual to include in the activation.
正解:D
解説:
To personalize the content of the email with five "fun" trip statistics, the consultant should recommend using a data transform to aggregate the statistics and map them to direct attributes on the Individual object for inclusion in the activation. Here's why:
Understanding the Requirement
The rideshare company wants to send personalized emails to customers with aggregated trip statistics (e.g., destination, distance traveled).
The raw data is not aggregated at the source, so it must be processed in Data Cloud.
Why Use a Data Transform?
Aggregating Statistics :
A data transform can aggregate the raw trip data (e.g., summing distances, counting destinations) into meaningful statistics for each customer.
This ensures that the data is summarized and ready for personalization.
Mapping to Direct Attributes :
The aggregated statistics can be mapped to direct attributes on the Individual object.
These attributes can then be included in the activation and used to personalize the email content.
Other Options Are Less Suitable :
B). Create five calculated insights for the activation and add dimension filters : While calculated insights are useful, creating five separate insights is inefficient compared to a single data transform.
C). Use a data action to send each ride as an event to Marketing Cloud Engagement, then use AMP script to summarize this data in the email : This approach is overly complex and shifts the aggregation burden to Marketing Cloud, which is not ideal.
D). Include related attributes in the activation for the last 365 days : Including raw data without aggregation would result in unprocessed information, making personalization difficult.
Steps to Implement the Solution
Step 1: Create a Data Transform
Use a batch or streaming data transform to aggregate the trip statistics (e.g., total distance, unique destinations) for each customer.
Step 2: Map Aggregated Data to Individual Object
Map the aggregated statistics to direct attributes on the Individual object in Data Cloud.
Step 3: Activate the Data
Include the aggregated attributes in the activation for the email campaign.
Step 4: Personalize the Email
Use the activated attributes to personalize the email content with the trip statistics.
Conclusion
Using a data transform to aggregate the statistics and map them to direct attributes on the Individual object is the most efficient and effective solution for personalizing the email content.
質問 # 24
How many calculated insights can be created per tenant?
- A. 0
- B. 50D.
- C. 5B.
- D. 10C.
正解:B
解説:
The maximum number of calculated insights that can be created per tenant is 50. A calculated insight is a metric that defines and calculates a multidimensionalmeasure on your data. You can use calculated insights to create segments and analyze your data in Data Cloud. You can also use calculated insights to create dashboards and reports in Tableau CRM. References: Calculated Insights
質問 # 25
Which two features are impacted by the timezone setting in the org Data Cloud is provisioned in?
- A. Activation Schedule
- B. Segment Schedule
- C. Ingestion Schedule
- D. Identity Resolution
正解:A、B
解説:
These two features are impacted by the timezone setting in the org Data Cloud is provisioned in. The segment schedule determines how often a segment is refreshed based on the selected timezone. The activation schedule determines how often a segment is exported to an activation target based on the selected timezone. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_schedule.htm&type=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_activation_schedule.htm&type=5
質問 # 26
......
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