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Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q33-Q38):

NEW QUESTION # 33
What are the two distinct phases of data model management in Data Cloud?

A. Data Modeling
B. Data Actions
C. Data Ingestion
D. Data Activation

Answer: A,C

Explanation:
These two phases are distinct phases of data model management in Data Cloud. Data ingestion is the process of bringing data from different sources into Data Cloud using connectors or APIs. Data modeling is the process of mapping the ingested data to the Data Cloud canonical model or creating custom data model objects. References:
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_data_model.htm&type=5

NEW QUESTION # 34
Which operator can be used to create a segment for a birthday campaign that is evaluated daily?

A. Is Between
B. Is Birthday
C. Is Anniversary Of
D. Is This Year

Answer: C

Explanation:
This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day, regardless of the year. Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&type=5

NEW QUESTION # 35
What is the first thing a business stakeholder should focus on when considering a Data Cloud implementation?

A. Obtain cross-organizational buy-in
B. Identify activation targets
C. Review consent and privacy management policies
D. Identify data sources

Answer: A

Explanation:
This is the first thing a business stakeholder should focus on when considering a Data Cloudimplementation.
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-customer-data-platform

NEW QUESTION # 36
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?

A. Import the file into Google Cloud Storage and ingest with the Cloud Storage Connector
B. Utilize Salesforce's Dataloader application to perform a bulk upload from a desktop
C. Import the file into Amazon S3 and ingest with the Cloud Storage Connector
D. Manually import the file using the Data Import Wizard

Answer: A,C

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=5
https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5

NEW QUESTION # 37
A customer wants to create segments ofusers based on their Customer Lifetime Value. The source data that will be brought into the Data Cloud does not include that KPI. What process should be followed to achieve this outcome?

A. Insight > Use in Segmentation
B. Create Calculated Insight > Map Data to Data Model > Use in Segmentation
C. Ingest Data > Map Data to Data Model > Create Calculated
D. Ingest Data > Create Calculated Insight > Use in Segmentation
E. Map Data to Data Model > Create Calculated Insight > Use in Segmentation

Answer: C

Explanation:
To create segments of users based on their Customer Lifetime Value, the customer needs to first ingest the source data into Data Cloud, then map the data to the Customer 360 data model, then create a calculated insight using the formula editor, and finally usethe calculated insight in segmentation. References: [Data Ingestion], [Data Mapping], [Calculated Insights], [Segmentation]

NEW QUESTION # 38
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