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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud Overview | 18% | - Core concepts and terminology - Business value and use cases - Architecture and ecosystem |
| Topic 2: Identity Resolution | 14% | - Conflict resolution - Matching and reconciliation rules - Unified profile creation - Identity use cases |
| Topic 3: Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment membership analysis - Segment creation and configuration |
| Topic 4: Act on Data | 18% | - Troubleshooting activations - Activation concepts and use cases - Process automation and triggering - Attribute usage and management |
| Topic 5: Data Cloud Setup and Administration | 12% | - Data spaces and configuration - Monitoring and maintenance tools - Data streams and data bundles - Permissions and access control |
| Topic 6: Data Ingestion and Modeling | 20% | - Data validation and inspection - Data modeling best practices - Ingestion from various sources - Transformation and mapping |
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NEW QUESTION # 87
What is therelationship between Individual and Contact Point Objects?
Answer: A
Explanation:
The relationship between Individual and Contact Point Objects is 1: Many. This means that one Individual can have many Contact Points,such as email addresses, phone numbers, or postal addresses, but each Contact Point can only belong to one Individual. References: Data Model Overview
NEW QUESTION # 88
Northern Trail Outfitters wants to be able to calculate each customer's lifetime value (LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels. How should thisuse case be addressed in Data Cloud?
Answer: D
Explanation:
This feature can help Northern Trail Outfitters calculate each customer's lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Streaming data transformations allow you to transform and enrich streaming data from different sources using formulas and operators.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_streaming_data_transform.htm&
NEW QUESTION # 89
Northern Trail Qutfitters wants to be able to calculate each customer's lifetime value {LTV) but also create breakdowns of the revenue sourced by website, mobile app, and retail channels.
What should a consultant use to address this use case in Data Cloud?
Answer: C
Explanation:
Metrics on metrics is a feature that allows creating new metrics based on existing metrics and applying mathematical operations on them. This can be useful for calculating complex business metrics such as LTV, ROI, or conversion rates. In this case, the consultant can use metrics on metrics to calculate the LTV of each customer by summing up the revenue generated by them across different channels. The consultant can also create breakdowns of the revenue by channel by using the channel attribute as a dimension in the metric definition. References: Metrics on Metrics, Create Metrics on Metrics
NEW QUESTION # 90
A consultant needs to package Data Cloud components from one
organization to another.
Which two Data Cloud components should the consultant include in a
data kit to achieve this goal?
Choose 2 answers
Answer: B,D
Explanation:
To package Data Cloud components from one organization to another, the consultant should include the following components in a data kit:
Data model objects: These are the custom objects that define the data model for Data Cloud, such as Individual, Segment, Activity, etc. They store the data ingested from various sources and enable the creation of unified profiles and segments1.
Identity resolution rulesets: These are the rules that determine how data from different sources are matched and merged to create unified profiles. They specify the criteria, logic, and priority for identity resolution2. References:
1: Data Model Objects in Data Cloud
2: Identity Resolution Rulesets in Data Cloud
NEW QUESTION # 91
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?
Answer: A
Explanation:
Explanation
This is the first thing a business stakeholder should focus on when considering a Data Cloud implementation.
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
NEW QUESTION # 92
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