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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
| Topic 2: Act on Data | 18% | - Process automation and triggering - Activation concepts and use cases - Troubleshooting activations - Attribute usage and management |
| Topic 3: Data Ingestion and Modeling | 20% | - Data modeling best practices - Transformation and mapping - Data validation and inspection - Ingestion from various sources |
| Topic 4: Identity Resolution | 14% | - Conflict resolution - Unified profile creation - Matching and reconciliation rules - Identity use cases |
| Topic 5: Data Cloud Setup and Administration | 12% | - Data spaces and configuration - Data streams and data bundles - Permissions and access control - Monitoring and maintenance tools |
| Topic 6: Segmentation and Insights | 18% | - Calculated vs streaming insights - Segment creation and configuration - Segment membership analysis - Insight implementation |
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NEW QUESTION # 60
How many calculated insights can be created per tenant?
Answer: C
Explanation:
Explanation
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 multidimensional measure 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
NEW QUESTION # 61
Which two statements are true about using consent API and exercising right to be forgotten?
Answer: A,C
Explanation:
These two statements are true about using consent API and exercising right to be forgotten. Data deletion requests are reprocessed at regular intervals to ensure that any new data related to the individual is deleted. Data deletion requests are submitted for individual profiles that represent unique identities in Data Cloud. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 62
What is Data Cloud's primary value to customers?
Answer: B
Explanation:
Data Cloud is a platform that enables you to activate all your customer data across Salesforce applications and other systems. Data Cloud allows you to create a unified profile of each customer by ingesting, transforming, and linking data from various sources, such as CRM, marketing, commerce, service, and external data providers. Data Cloud also provides insights and analytics on customer behavior, preferences, and needs, as well as tools to segment, target, and personalize customer interactions. Data Cloud's primary value to customers is to provide a unified view of a customer and their related data, which can help you deliver better customer experiences, increase loyalty, and drive growth. References: Salesforce Data Cloud, When Data Creates Competitive Advantage
NEW QUESTION # 63
Northern Trail Outfitters unifies individuals in its Data Cloud instance.
Which three features ca e consultant use to validate the data on a unified profile?
Choose 3 answers
Answer: A,B,E
Explanation:
To validate the data on a unified profile, the consultant can use the following features:
Identity Resolution: This feature allows the consultant to view and edit the identity resolution rulesets that determine how individuals are unified from different data sources1.
Data Explorer: This feature allows the consultant to browse and filter the unified profiles and view their attributes, segments, and activities2.
Profile Explorer: This feature allows the consultant to drill down into a specific unified profile and view its details, such as source records, identity graph, calculated insights, and data actions3. References:
1: Identity Resolution in Data Cloud
2: Data Explorer in Data Cloud
3: Profile Explorer in Data Cloud
NEW QUESTION # 64
A Data Cloud consultant is evaluating the initial phase of the Data Cloud lifecycle for a company.
Which action is essential to effectively begin the Data Cloud lifecycle?
Answer: B
Explanation:
Data Cloud Lifecycle: The initial phase of the Salesforce Data Cloud lifecycle is critical for setting the foundation for successful data integration and utilization.
Identifying Use Cases:
Importance: Defining clear use cases helps in understanding the business objectives and how Data Cloud can address them.
Required Data Sources: Identifying the necessary data sources ensures that relevant data is ingested into Data Cloud.
Data Quality: Assessing data quality is essential for accurate and reliable data analysis and insights.
Actions:
Step 1: Engage with stakeholders to define specific use cases for Data Cloud.
Step 2: Identify and catalog the required data sources for these use cases.
Step 3: Evaluate the quality of data from these sources to ensure they meet the standards for effective data analysis.
References:
Salesforce Data Cloud Implementation Guide
Salesforce Data Cloud Lifecycle
NEW QUESTION # 65
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