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| Section | Weight | Objectives |
|---|---|---|
| Data Sharing and Security | 8% | - Implement row-level security - Understand data governance requirements - Configure data sharing settings - Manage user access and permissions |
| Data Cloud Overview and Licensing | 7% | - Describe the business value of Data Cloud - Describe Data Cloud setup and configuration - Explain licensing model and capacity |
| Identity Resolution and Data Unification | 17% | - Configure identity resolution rules - Configure match rules and strategies - Configure contact and account matching - Manage data overlap and deduplication - Understand unified records creation |
| Data Model Setup and Configuration | 15% | - Understand data types and field mapping - Describe Harmonized Data Model concepts - Configure custom objects, fields, and relationships - Set up and configure Data Lake objects - Map source data to harmonized data model |
| Data Cloud Monitoring and Troubleshooting | 22% | - Troubleshoot data quality issues - Debug common configuration errors - Use Data Cloud analytics and reports - Monitor data ingestion and sync status - Manage data retention and cleanup - Analyze identity resolution results |
| Data Actions | 8% | - Create and manage data bundles - Configure data actions for activation - Set up segmentation and target audiences - Configure data sync to external systems |
| Calculated Insights | 8% | - Publish insights to Data Cloud - Use formulas and functions in calculations - Define metrics and measurements - Create and configure calculated insights |
| Data Ingestion | 15% | - Set up and manage data connectors - Configure data sync and refresh schedules - Configure batch data ingestion - Troubleshoot ingestion issues - Configure streaming data ingestion |
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NEW QUESTION # 28
An organization wants to enable users with the ability to identify and select text attributes from a picklist of options.
Which Data Cloud feature should help with this use case?
Answer: D
Explanation:
Explanation
Value suggestion is a Data Cloud feature that allows users to see and select the possible values for a text field when creating segment filters. Value suggestion can be enabled or disabled for each data model object (DMO) field in the DMO record home. Value suggestion can help users to identify and select text attributes from a picklist of options, without having to type or remember the exact values. Value suggestion can also reduce errors and improve data quality by ensuring consistent and valid values for the segment filters. References: Use Value Suggestions in Segmentation, Considerations for Selecting Related Attributes
NEW QUESTION # 29
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 # 30
Which two steps should a consultant take if a successfully configured Amazon S3 data stream fails to refresh with a "NO FILE FOUND" error message?
Choose 2 answers
Answer: A,B
Explanation:
A "NO FILE FOUND" error message indicates that Data Cloud cannot access or locate the file from the Amazon S3 source. There are two possible reasons for this error and two corresponding steps that a consultant should take to troubleshoot it:
The Data Cloud user does not have the correct permissions to read the file from the Amazon S3 bucket. This could happen if the user's permission set or profile does not include the Data Cloud Data Stream Read permission, or if the user's Amazon S3 credentials are invalid or expired. To fix this issue, the consultant should check and update the user's permissions and credentials in Data Cloud and Amazon S3, respectively.
The file does not exist in the specified bucket location. This could happen if the file name or path has changed, or if the file has been deleted or moved from the Amazon S3 bucket. To fix this issue, the consultant should check and verify the file name and path in the Amazon S3 bucket, and update the data stream configuration in Data Cloud accordingly. Reference: Create Amazon S3 Data Stream in Data Cloud, How to Use the Amazon S3 Storage Connector in Data Cloud, Amazon S3 Connection
NEW QUESTION # 31
A retailer wants to unify profiles using Loyalty ID which is different than the unique ID of their customers.
Which object should the consultant use in identity resolution to perform exact match rules on the Loyalty ID?
Answer: A
Explanation:
Explanation
The Party Identification object is the correct object to use in identity resolution to perform exact match rules on the Loyalty ID. The Party Identification object is a child object of the Individual object that stores different types of identifiers for an individual, such as email, phone, loyalty ID, social media handle, etc. Each identifier has a type, a value, and a source. The consultant can use the Party Identification object to create a match rule that compares the Loyalty ID type and value across different sources and links the corresponding individuals.
The other options are not correct objects to use in identity resolution to perform exact match rules on the Loyalty ID. The Loyalty Identification object does not exist in Data Cloud. The Individual object is the parent object that represents a unified profile of an individual, but it does not store the Loyalty ID directly. The Contact Identification objectis a child object of the Contact object that stores identifiers for a contact, such as email, phone, etc., but it does not store the Loyalty ID.
References:
* Data Modeling Requirements for Identity Resolution
* Identity Resolution in a Data Space
* Configure Identity Resolution Rulesets
* Map Required Objects
* Data and Identity in Data Cloud
NEW QUESTION # 32
Which two common use cases can be addressed with Data Cloud?
Choose 2 answers
Answer: A,B
Explanation:
Data Cloud is a data platform that can help customers connect, prepare, harmonize, unify, query, analyze, and act on their data across various Salesforce and external sources. Some of the common use cases that can be addressed with Data Cloud are:
Understand and act upon customer data to drive more relevant experiences. Data Cloud can help customers gain a 360-degree view of their customers by unifying data from different sources and resolving identities across channels. Data Cloud can also help customers segment their audiences, create personalized experiences, and activate data in any channel using insights and AI.
Harmonize data from multiple sources with a standardized and extendable data model. Data Cloud can help customers transform and cleanse their data before using it, and map it to a common data model that can be extended and customized. Data Cloud can also help customers create calculated insights and related attributes to enrich their data and optimize identity resolution.
The other two options are not common use cases for Data Cloud. Data Cloud does not provide data governance or backup and disaster recovery features, as these are typically handled by other Salesforce or external solutions.
Learn How Data Cloud Works
About Salesforce Data Cloud
Discover Use Cases for the Platform
Understand Common Data Analysis Use Cases
NEW QUESTION # 33
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