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| Section | Objectives |
|---|---|
| Topic 1: Segmentation and Activation | - Segmentation logic and audience building - Activation to Salesforce and external systems |
| Topic 2: Data Ingestion and Data Modeling | - Data sources and ingestion methods - Data model objects and harmonization |
| Topic 3: Salesforce Data Cloud Fundamentals | - Data Cloud value and use cases - Core concepts and architecture |
| Topic 4: Data Governance and Privacy | - Data privacy and compliance concepts - Security and data access controls |
| Topic 5: Identity Resolution and Unification | - Unified customer profile concepts - Identity resolution rules |
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NEW QUESTION # 10
What is the maximum limit of the number of records for Full Refresh Extract Method?
Answer: A
Explanation:
The maximum limit of the number of records for Full Refresh Extract Method is 10 million. Full Refresh Extract Method is an option for extracting data from Marketing Cloud to Data Cloud. It extracts all records from a data extension regardless of when they were created or modified. If the number of records exceeds 10 million, an error occurs and no records are extracted. Reference: Extract Methods
NEW QUESTION # 11
Which information is provided in a .csv file when activating to Amazon S3?
Answer: D
Explanation:
When activating to Amazon S3, the information that is provided in a .csv file is the activated data payload. The activated data payload is the data that is sent from Data Cloud to the activation target, which in this case is an Amazon S3 bucket1. The activated data payload contains the attributes and values of the individuals or entities that are included in the segment that is being activated2. The activated data payload can be used for various purposes, such as marketing, sales, service, or analytics3. The other options are incorrect because they are not provided in a .csv file when activating to Amazon S3. Option A is incorrect because an audit log is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Activation History tab4. Option C is incorrect because the metadata regarding the segment definition is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Segmentation tab5. Option D is incorrect because the manifest of origin sources within Data Cloud is not provided in a .csv file, but it can be viewed in the Data Cloud UI under the Data Sources tab. References: Data Activation Overview, Create and Activate Segments in Data Cloud, Data Activation Use Cases, View Activation History, Segmentation Overview, [Data Sources Overview]
NEW QUESTION # 12
A Data Cloud consultant recently added a new data source and mapped some of the data to a new custom data model object (DMO) that they want to use for creating segments. However, they cannot view the newly created DMO when trying to create a new segment.
What is the cause of this issue?
Answer: C
Explanation:
The cause of this issue is that the new custom data model object (DMO) is not of category Profile. A category is a property of a DMO that defines its purpose and functionality in Data Cloud. There are three categories of DMOs: Profile, Event, and Other. Profile DMOs are used to store attributes of individuals or entities, such as name, email, address, etc. Event DMOs are used to store actions or interactions of individuals or entities, such as purchases, clicks, visits, etc. Other DMOs are used to store any other type of data that does not fit into the Profile or Event categories, such as products, locations, categories, etc. Only Profile DMOs can be used for creating segments in Data Cloud, as segments are based on the attributes of individuals or entities. Therefore, if the new custom DMO is not of category Profile, it will not appear in the segmentation canvas. The other options are not correct because they are not the cause of this issue. Data ingestion is not a prerequisite for creating segments, as segments can be created based on the data model schema without actual data. The new DMO does not need to have a relationship to the individual DMO, as segments can be created based on any Profile DMO, regardless of its relationship to other DMOs. Segmentation is not only supported for the Individual and Unified Individual DMOs, as segments can be created based on any Profile DMO, including custom ones. References: Create a Custom Data Model Object from an Existing Data Model Object, Create a Segment in Data Cloud, Data Model Object Category
NEW QUESTION # 13
Which two objects or fields are supported for ingestion using the Salesforce CRM connector?
Answer: B,D
Explanation:
These two objects or fields are supported for ingestion using the Salesforce CRM connector. You can select standard or custom objects from your Salesforce CRM org and map them to Data Cloud data model objects. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_salesforce_crm.htm&type=5
NEW QUESTION # 14
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 # 15
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