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| Section | Objectives |
|---|---|
| Topic 1: Segmentation and Calculated Insights | - Explain calculated insights - Create and manage segments |
| Topic 2: Data Ingestion and Modeling | - Describe data streams and data sources - Explain data modeling concepts including Data Model Objects (DMOs) |
| Topic 3: Data Cloud Reporting and Analytics | - Utilize Data Cloud reports and dashboards |
| Topic 4: Data Cloud Setup and Administration | - Configure Data Cloud settings - Manage Data Cloud permissions and security |
| Topic 5: Activation | - Describe activation use cases - Configure activations to various targets |
| Topic 6: Identity Resolution | - Describe matching and reconciliation rules - Explain the purpose and configuration of Identity Resolution |
| Topic 7: Data Cloud Overview | - Explain the purpose and functionality of Data Cloud - Describe the Data Cloud ecosystem and how it fits into the Salesforce platform |
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NEW QUESTION # 74
Every day, Northern Trail Outfitters (NTO) uploads a summary of the last 24 hours of store transactions to a new file in an Amazon S3 bucket, and files older than 7 days are automatically deleted. Each file contains a timestamp in a standardized naming convention. What should a consultant consider when ingesting this data stream?
Answer: A
Explanation:
This configuration will ensure that Data Cloud only ingests new files from the Amazon S3 bucket and updates or inserts new records into the data stream without deleting existing records. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
NEW QUESTION # 75
Which two statements are true about using consent API and exercising right to be forgotten?
Answer: B,C
Explanation:
Explanation
These two statements are true about using consent API and exercising right to be forgotten. Data deletion requests are reprocessed at regular intervals to ensure that any new data related to the individual is deleted.
Data deletion requests are submitted for individual profiles thatrepresent unique identities in Data Cloud.
References:https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5
NEW QUESTION # 76
When can the data types be changed during ingestion?
Answer: B
Explanation:
The data types can be changed during ingestion before the Data Source Object (DSO) is created. A DSO is a container for ingested data that defines the schema, format, and metadata of the data. Data types can be changed in the Data Explorer before creating a DSO by using the Edit Schema option. Once a DSO is created, the data types cannot be changed. Reference: Create a Data Source Object
NEW QUESTION # 77
When setting up the data source object or schema for data ingestion, what are the three data categories to select from?
Answer: C,D,E
Explanation:
These are the three data categories to select from when setting up the data source object or schema for data ingestion. Engagement data includes information about how customers interact with a brand or product, such as clicks, views, likes, etc. Order data includes information about transactions or purchases made by customers, such as order ID, amount, date, etc. Profile data includes information about customers' attributes or preferences, such as name, email, gender, etc. Reference: [Data Categories]
NEW QUESTION # 78
What does it mean to build a trust-based, first-party data asset?
Answer: D
Explanation:
This is what it means to build a trust-based, first-party data asset. It involves respecting the privacy and preferences of individuals who share their data with an organization and ensuring that the data is used in a responsible and ethical way. References: https://www.salesforce.com/products/genie/overview/
NEW QUESTION # 79
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