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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion and Modeling | 20% | - Data validation and inspection - Ingestion from various sources - Transformation and mapping - Data modeling best practices |
| Topic 2: Act on Data | 18% | - Activation concepts and use cases - Attribute usage and management - Process automation and triggering - Troubleshooting activations |
| Topic 3: Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
| Topic 4: Segmentation and Insights | 18% | - Insight implementation - Segment membership analysis - Segment creation and configuration - Calculated vs streaming insights |
| Topic 5: Identity Resolution | 14% | - Conflict resolution - Matching and reconciliation rules - Unified profile creation - Identity use cases |
| Topic 6: Data Cloud Setup and Administration | 12% | - Permissions and access control - Data spaces and configuration - Data streams and data bundles - Monitoring and maintenance tools |
>> Salesforce-Data-Cloud認定テキスト <<
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質問 # 142
A customer has multiple team members who create segment audiences that work in different time zones. One team member works at the home office in the Pacific time zone, that matches the org Time Zone setting.
Another team member works remotely in the Eastern time zone.
Which user will see their home time zone in the segment and activation schedule areas?
正解：B
解説：
The correct answer is D, both team members; Data Cloud adjusts the segment and activation schedules to the time zone of the logged-in user. Data Cloud uses the time zone settings of the logged-in user to display the segment and activation schedules. This means that each user will see the schedules in their own home time zone, regardless of the org time zone setting or the location of other team members. This feature helps users to avoid confusion and errors when scheduling segments and activations across different time zones. The other options are incorrect because they do not reflect how Data Cloud handles time zones. The team member in the Pacific time zone will not see the same time zone as the org time zone setting, unless their personal time zone setting matches the org time zone setting. The team member in the Eastern time zone will not see the schedules in the org time zone setting, unless their personal time zone setting matches the org time zone setting. Data Cloud does not show all schedules in GMT, but rather in the user's local time zone. References:
Data Cloud Time Zones
Change default time zones for Users and the organization
Change your time zone settings in Salesforce, Google & Outlook
DateTime field and Time Zone Settings in Salesforce
質問 # 143
Which three Data Model objects do Reconciliation Rules operate across?
正解：B、C、D
解説：
These are the three Data Model objects that Reconciliation Rules operate across. Reconciliation rules tell Data Cloud how to prioritize values for unified individual profiles when there is conflicting information in the data model. For example, if two profiles have different email addresses, reconciliation rules can determine which one to use for the unified profile. Reconciliation rules can operate on the Individual object, which represents a person or entity, the Party Identification object, which represents an identifier such as a social media handle or a loyalty card number, and the Contact Point Email object, which represents an email address. Reference: Identity Resolution Reconciliation Rules
質問 # 144
A financial services firm specializing in wealth management contacts a Data Cloud consultant with an identity resolution request. The company wants to enhance its strategy to better manage individual client profiles within family portfolios.
Family members often share addresses and sometimes phone numbers but have distinct investment preferences and financial goals. The firm aims to avoid blending individual family profiles into a single entity to maintain personalized service and accurate financial advice.
Which identity resolution strategy should the consultant put in place?
正解：A
解説：
To manage individual client profiles within family portfolios while avoiding blending profiles, the consultant should recommend a more restrictive design approach for identity resolution. Here's why:
Understanding the Requirement
The financial services firm wants to maintain distinct profiles for individual family members despite shared contact points (e.g., address, phone number).
The goal is to avoid blending profiles to ensure personalized service and accurate financial advice.
Why a Restrictive Design Approach?
Avoiding Over-Matching :
A restrictive design approach ensures that match rules are narrowly defined to prevent over-matching (e.g., merging profiles based solely on shared addresses or phone numbers).
This preserves the uniqueness of individual profiles while still allowing for some shared attributes.
Custom Match Rules :
The consultant can configure custom match rules that prioritize unique identifiers (e.g., email, social security number) over shared contact points.
This ensures that family members with shared addresses or phone numbers remain distinct.
Other Options Are Less Suitable :
A). Configure a single match rule with a single connected contact point based on address : This would likely result in over-matching and blending profiles, which is undesirable.
B). Use multiple contact points without individual attributes in the match rules : This approach lacks the precision needed to maintain distinct profiles.
D). Configure a single match rule based on a custom identifier : While custom identifiers are useful, relying on a single rule may not account for all scenarios and could lead to over-matching.
Steps to Implement the Solution
Step 1: Analyze Shared Attributes
Identify shared attributes (e.g., address, phone number) and unique attributes (e.g., email, social security number).
Step 2: Define Restrictive Match Rules
Configure match rules that prioritize unique attributes and minimize reliance on shared contact points.
Step 3: Test Identity Resolution
Test the match rules to ensure that individual profiles are preserved while still allowing for some shared attributes.
Step 4: Monitor and Refine
Continuously monitor the results and refine the match rules as needed to achieve the desired outcome.
Conclusion
A more restrictive design approach ensures that match rules perform as desired, preserving the uniqueness of individual profiles while accommodating shared attributes within family portfolios.
質問 # 145
A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
正解：A
解説：
This action should be performed to accommodate the request to delete personal data in Data Cloud. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
質問 # 146
Which data sources are available from Marketing Cloud as a starter bundle?
正解：B
解説：
These data sources are available from Marketing Cloud as a starter bundle. They provide basic contact data, such as email address, mobile number, and device ID, as well as engagement data, such as email opens, clicks, bounces, unsubscribes, SMS sends, deliveries, opt-outs, and push sends, opens, and opt-outs. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_marketing_cloud_data_foundation.htm&type=5
質問 # 147
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