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| Section | Weight | Objectives |
|---|---|---|
| Segmentation and Insights | 18% | - Insight implementation - Calculated vs streaming insights - Segment creation and configuration - Segment membership analysis |
| Data Cloud Overview | 18% | - Architecture and ecosystem - Business value and use cases - Core concepts and terminology |
| Act on Data | 18% | - Attribute usage and management - Activation concepts and use cases - Troubleshooting activations - Process automation and triggering |
| Data Ingestion and Modeling | 20% | - Transformation and mapping - Data validation and inspection - Ingestion from various sources - Data modeling best practices |
| Identity Resolution | 14% | - Identity use cases - Conflict resolution - Unified profile creation - Matching and reconciliation rules |
| Data Cloud Setup and Administration | 12% | - Monitoring and maintenance tools - Data spaces and configuration - Permissions and access control - Data streams and data bundles |
根據最新的擬真試題資訊，Salesforce Salesforce-Data-Cloud 認證擬真試題更新了，該擬真試題評估的適當性和資料的品質進行資料集成的積極性。本擬真試題已經幫助很多的考生順利通過 Salesforce-Data-Cloud 考試，獲取證書。Salesforce Salesforce-Data-Cloud 認證擬真試題是有經驗的專家根據最新的考試指南編訂，經過很多次測驗適合全球考生使用，考生可以享受一年更新服務。考生可以參照最新的 Salesforce-Data-Cloud 認證部分模擬試題。
問題 #77
Cumulus Financial wants its service agents to view a display of all cases associated with a Unified Individual on a contact record.
Which two features should a consultant consider for this use case?
Choose 2 answers
答案：C,D
解題說明：
A Unified Individual is a profile that combines data from multiple sources using identity resolution rules in Data Cloud. A Unified Individual can have multiple contact points, such as email, phone, or address, that link to different systems and records. A consultant can use the following features to display all cases associated with a Unified Individual on a contact record:
Profile API: This is a REST API that allows you to retrieve and update Unified Individual profiles and related attributes in Data Cloud. You can use the Profile API to query the cases that are related to a Unified Individual by using the contact point ID or the unified ID as a filter. You can also use the Profile API to update the Unified Individual profile with new or modified case information from other systems.
Lightning Web Components: These are custom HTML elements that you can use to create reusable UI components for your Salesforce apps. You can use Lightning Web Components to create a custom component that displays the cases related to a Unified Individual on a contact record. You can use the Profile API to fetch the data from Data Cloud and display it in a table, list, or chart format. You can also use Lightning Web Components to enable actions, such as creating, editing, or deleting cases, from the contact record.
The other two options are not relevant for this use case. A Data Action is a type of action that executes a flow, a data action target, or a data action script when an insight is triggered. A Data Action is used for activation and personalization, not for displaying data on a contact record. A Query APL is a query language that allows you to access and manipulate data in Data Cloud. A Query APL is used for data exploration and analysis, not for displaying data on a contact record. References: Profile API Developer Guide, Lightning Web Components Developer Guide, Create Unified Individual Profiles Unit
問題 #78
What is the first thing a business stakeholder should focus on whenconsidering a Data Cloud implementation?
答案：C
解題說明：
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
問題 #79
What does the Ignore Empty Value option do in identity resolution?
答案：A
解題說明：
The Ignore Empty Value option in identity resolution allows customers to ignore empty fields when running reconciliation rules. Reconciliation rules are used to determine the final value of an attribute for a unified individual profile, based on the values from different sources. The Ignore Empty Value option can be set to true or false for each attribute in a reconciliation rule. If set to true, the reconciliation rule will skip any source that has an empty value for that attribute and move on to the next source in the priority order. If set to false, the reconciliation rule will consider any source that has an empty value for that attribute as a valid source and use it to populate the attribute value for the unified individual profile.
The other options are not correct descriptions of what the Ignore Empty Value option does in identity resolution. The Ignore Empty Value option does not affect the custom match rules or the standard match rules, which are used to identify and link individuals across different sources based on their attributes. The Ignore Empty Value option also does not ignore individual object records with empty fields when running identity resolution rules, as identity resolution rules operate on the attribute level, not the record level.
Data Cloud Identity Resolution Reconciliation Rule Input
Configure Identity Resolution Rulesets
Data and Identity in Data Cloud
問題 #80
What does it mean to build a trust-based, first-party data asset?
答案：A
解題說明：
Building a trust-based, first-party data asset means collecting, managing, and activating data from your own customers and prospects in a way that respects their privacy and preferences. It also means providing them with clear and honest information about how you use their data, what benefits they can expect from sharing their data, and how they can control their data. By doing so, you can create a mutually beneficial relationship with your customers, where they trust you to use their data responsibly and ethically, and you can deliver more relevant and personalized experiences to them. A trust-based, first-party data asset can help you improve customer loyalty, retention, and growth, as well as comply with data protection regulations and standards. References: Use first-party data for a powerful digital experience, Why first-party data is the key to data privacy, Build a first-party data strategy
問題 #81
Northern Trail Outfitters has the following customer data to ingest into Data Cloud and use for segmentation.
1. Propensity to purchase
2. Has active membership
3. Work email address
Which data types should the consultant use when ingesting this data?
答案：D
解題說明：
When ingesting customer data into Data Cloud, it is critical to use the correct data types to ensure proper segmentation and usage. Here's how the consultant should handle the provided data points:
Propensity to Purchase :
This represents a likelihood or probability value, typically expressed as a percentage (e.g., 75%).
The appropriate data type for this field is Percent , which allows for easy interpretation and use in segmentation.
Has Active Membership :
This is a binary value indicating whether a customer has an active membership (e.g., "Yes" or "No").
The correct data type for this field is Boolean , which supports true/false values.
Work Email Address :
This is a standard email address field.
The appropriate data type is Email , which ensures proper validation and formatting.
Why Not Other Options?
A). Number, Text, URL: These data types are incorrect because "Propensity to Purchase" should be a percentage, not a generic number. Similarly, "Work Email Address" should be an email type, not a URL.
C). Number, Boolean, Text: While "Number" could work for propensity scores, it lacks the semantic meaning of a percentage. Additionally, "Text" is not suitable for email addresses.
D). Percent, Number, Email: Using "Number" for "Has Active Membership" is incorrect because it is a binary value, not a numeric one.
By selecting Percent, Boolean, Email , the consultant ensures that the data is correctly formatted and ready for segmentation and analysis.
問題 #82
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