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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Ingestion and Modeling | 20% | - Data validation and inspection - Ingestion from various sources - Data modeling best practices - Transformation and mapping |
| Topic 2: Data Cloud Setup and Administration | 12% | - Permissions and access control - Data spaces and configuration - Data streams and data bundles - Monitoring and maintenance tools |
| Topic 3: Identity Resolution | 14% | - Conflict resolution - Matching and reconciliation rules - Identity use cases - Unified profile creation |
| Topic 4: Act on Data | 18% | - Process automation and triggering - Attribute usage and management - Troubleshooting activations - Activation concepts and use cases |
| Topic 5: Segmentation and Insights | 18% | - Segment creation and configuration - Segment membership analysis - Calculated vs streaming insights - Insight implementation |
| Topic 6: Data Cloud Overview | 18% | - Architecture and ecosystem - Core concepts and terminology - Business value and use cases |
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NEW QUESTION # 110
Which three features can be used to validate the data in the unified profile object?
Answer: C,D,E
Explanation:
These three features can be used to validate the data in the unified profile object. Data Explorer allows you to view the ingested data from different sources and how it is mapped to the unified profile object. Query API allows you to query the unified profile object using SOQL or SQL queries. Profile Explorer allows you to view the unified profile records and their attributes. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_explorer.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_query_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_profile_explorer.htm&type=5
NEW QUESTION # 111
What are the two minimum requirements needed when using the Visual Insights Builder to create a calculated insight?
Choose 2 answers
Answer: A,B
Explanation:
Introduction to Visual Insights Builder:
The Visual Insights Builder in Salesforce Data Cloud is a tool used to create calculated insights, which are custom metrics derived from the existing data.
Reference: Salesforce Visual Insights Builder Documentation
Requirements for Creating Calculated Insights:
Measure: A measure is a quantitative value that you want to analyze, such as revenue, number of purchases, or total time spent on a platform.
Dimension: A dimension is a qualitative attribute that you use to categorize or filter the measures, such as date, region, or customer segment.
Reference: Salesforce Insights Builder Guide
Steps to Create a Calculated Insight:
Navigate to the Visual Insights Builder within Salesforce Data Cloud.
Select "Create New Insight" and choose the dataset.
Add at least one measure: This could be any metric you want to analyze, such as "Total Sales." Add at least one dimension: This helps to break down the measure, such as "Sales by Region." Reference: Salesforce Calculated Insights Creation Tutorial Practical Application:
Example: To create an insight on "Average Purchase Value by Region," you would need:
A measure: Total Purchase Value.
A dimension: Customer Region.
This allows for actionable insights, such as identifying high-performing regions.
NEW QUESTION # 112
A consultant has an activation that is set to publish every 12 hours, but has discovered that updates to the data prior to activation are delayed by up to 24 hours.
Which two areas should a consultant review to troubleshoot this issue?
Choose 2 answers
Answer: C,D
Explanation:
The correct answer is B and C because calculated insights and segments are both dependent on the data ingestion process. Calculated insights are derived from the data model objects and segments are subsets of data model objects that meet certain criteria. Therefore, both of them need to be updated after the data is ingested to reflect the latest changes. Data transformations are optional steps that can be applied to the data streams before they are mapped to the data model objects, so they are not relevant to the issue. Reviewing calculated insights to make sure they're run after the segments are refreshed (option D) is also incorrect because calculated insights are independent of segments and do not need to be refreshed after them. References: Salesforce Data Cloud Consultant Exam Guide, Data Ingestion and Modeling, Calculated Insights, Segments
NEW QUESTION # 113
Which method should an administrator use when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK?
Answer: B
Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate datafrom real- time streams using window functions. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_streaming_insights.htm&type=5
NEW QUESTION # 114
How does Data Cloud handle an individual's right to be forgotten?
Answer: A
Explanation:
This is how Data Cloud handles an individual's right to be forgotten. It deletes the individual record from the Individual data model object (DMO) and any related records from the data stream objects (DSOs) that are mapped to it. References:https://help.salesforce.com/s/articleView?id=sf.
c360_a_data_cloud_delete_individual.htm&type=5
NEW QUESTION # 115
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