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| Section | Objectives |
|---|---|
| Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
| Salesforce Data Cloud Fundamentals | - Core concepts and architecture - Data Cloud value and use cases |
| Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Data Governance and Privacy | - Security and data access controls - Data privacy and compliance concepts |
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NEW QUESTION # 140
Which two statements about Data Cloud's Web and Mobile App connector are true?
Answer: A,C
Explanation:
The app details page shows the status of the app, such as active, inactive, or error. The tenant specific endpoint is a unique URL that isgenerated for each app and used to send data to Data Cloud from theweb or mobile SDK.References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_web_mobile_app_connector.htm&type=5
NEW QUESTION # 141
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?
Answer: C
Explanation:
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.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&ty
NEW QUESTION # 142
If a data source does not have a field that can be designated as a primary key, what should the consultant do?
Answer: C
Explanation:
Understanding Primary Keys in Salesforce Data Cloud:
A primary key is a unique identifier for records in a data source. It ensures that each record can be uniquely identified and accessed.
Reference: Salesforce Primary Key Documentation
Challenges with Missing Primary Keys:
Some data sources may lack a natural primary key, making it difficult to uniquely identify records.
Reference: Salesforce Data Integration Guide
Solution: Creating a Composite Key:
Composite Key Definition: A composite key is created by combining two or more fields to generate a unique identifier.
Formula Fields: Using a formula field, different fields can be concatenated to create a unique composite key.
Example: If "Email" and "Phone Number" together uniquely identify a record, a formula field can concatenate these values to form a composite key.
Reference: Salesforce Composite Key Creation Guide
Steps to Create a Composite Key:
Identify fields that, when combined, can uniquely identify each record.
Create a formula field that concatenates these fields.
Use this composite key as the primary key for the data source in Data Cloud.
Reference: Salesforce Formula Field Documentation
NEW QUESTION # 143
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?
Answer: B
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.salesforce.com/content
/learn/modules/customer-data-platform-basics/get-started-with-customer-data-platform
NEW QUESTION # 144
A Data Cloud consultant recently discovered that their identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual.
What should the consultant do to address this issue?
Answer: A
Explanation:
Identity resolution is the process of linking source profiles from different data sources into unified individual profiles based on match and reconciliation rules. If the identity resolution process is matching individuals that share email addresses or phone numbers, but are not actually the same individual, it means that the match rules are too loose and need to be refined. The best way to address this issue is to create and run a new ruleset with stricter matching criteria, such as adding more attributes or increasing the match score threshold. Then, the consultant can compare the two rulesets to review and verify the results, and see if the new ruleset reduces the false positives and improves the accuracy of the identity resolution. Once the new ruleset is approved, the consultant can migrate to the new ruleset and delete the old one. The other options are incorrect because modifying the existing ruleset can affect the existing unified profiles and cause data loss or inconsistency.
Creating and running a new ruleset with fewer matching rules can increase the false negatives and reduce the coverage of the identity resolution. References: Create Unified Individual Profiles, AI-based Identity Resolution: Linking Diverse Customer Data, Data Cloud Identiy Resolution.
NEW QUESTION # 145
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