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| Section | Objectives |
|---|---|
| Topic 1: Identity Resolution and Unification | - Identity resolution rules - Unified customer profile concepts |
| Topic 2: Data Ingestion and Data Modeling | - Data model objects and harmonization - Data sources and ingestion methods |
| Topic 3: Salesforce Data Cloud Fundamentals | - Core concepts and architecture - Data Cloud value and use cases |
| Topic 4: Segmentation and Activation | - Activation to Salesforce and external systems - Segmentation logic and audience building |
| Topic 5: Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
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NEW QUESTION # 152
An administrator wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of DMO joins are necessary within the Calculated Insight to enable this calculation?
Answer: B
Explanation:
To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the administrator needs to join the following data model objects (DMOs) in the Calculated Insight:
Unified Individual: This DMO represents the unified profile of an individual, which contains attributes from multiple sources.
Unified Link Individual: This DMO represents the link between an Individual DMO and a Unified Individual DMO.
Sales Order: This DMO represents a transaction or purchase made by an individual.
The sequence of joins should start from the Unified Individual DMO, then join the Unified Link Individual DMO using the UnifiedIndividualId field, and then join the Sales Order DMO using the IndividualId field. This way, the administrator can access the sales order data for each unified individual and calculate their lifetime value.
NEW QUESTION # 153
An organization is looking to use Data Cloud to unify data across 5 Salesforce orgs, 2 Marketing Cloud accounts, 6 Amazon S3 Buckets, and 4 Personalization datasets.As far as connection limits are concerned, which platform is going to present a challenge?
Answer: D
Explanation:
This platform is going to present a challenge in terms of connection limits forData Cloud. Data Cloud supports up to 3 Marketing Cloud connections per org, which means that only 3 Marketing Cloud accounts can be connected as data sources or activation targets. The other platforms have higher or no limits for connections. References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_limits.
htm&type=5
NEW QUESTION # 154
A customer wants to use the transactional data from their data warehouse in Data Cloud. They are only able to export the data via a SFTP site. What are two recommended ways to bring this data into Data Cloud?
Answer: B,C
Explanation:
Explanation
These two options are recommended ways to bring transactional data from a data warehouse into Data Cloud via a SFTP site. You can use the Cloud Storage Connector to ingest files from Google Cloud Storage or Amazon S3 buckets into Data Cloud. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_google_cloud_storage.htm&type=5https://he
NEW QUESTION # 155
A customer has outlined requirements to trigger a journey for an abandoned browse behavior. Based on the requirements, the consultant determines they will use streaming insights to trigger a data action to Journey Builder every hour.
How should the consultant configure the solution to ensure the data action is triggered at the cadence required?
Answer: B
Explanation:
Explanation:
NEW QUESTION # 156
Which configuration supports separate Amazon S3 buckets for data ingestion and activation?
Answer: A
Explanation:
To support separate Amazon S3 buckets for data ingestion and activation, you need to configure dedicated S3 data sources in Data Cloud setup. Data sources are used to identify the origin and type of the data that you ingest into Data Cloud1. You can create different data sources for each S3 bucket that you want to use for ingestion or activation, and specify the bucket name, region, and access credentials2. This way, you can separate and organize your data by different criteria, such as brand, region, product, or business unit3. The other options are incorrect because they do not support separate S3 buckets for data ingestion and activation. Multiple S3 connectors are not a valid configuration in Data Cloud setup, as there is only one S3 connector available4. Dedicated S3 data sources in activation setup are not a valid configuration either, as activation setup does not require data sources, but activation targets5. Separate user credentials for data stream and activation target are not sufficient to support separate S3 buckets, as you also need to specify the bucket name and region for each data source2. References: Data Sources Overview, Amazon S3 Storage Connector, Data Spaces Overview, Data Streams Overview, Data Activation Overview
NEW QUESTION # 157
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