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Salesforce-Data-Cloud PDF Guide - Salesforce-Data-Cloud Test Testking

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These Salesforce-Data-Cloud exam question formats contain real, valid, and updated Salesforce Salesforce-Data-Cloud exam questions that will assist you in Salesforce Salesforce Data Cloud Accredited Professional Exam exam preparation and enable you to pass the challenging Salesforce Salesforce-Data-Cloud Exam with good scores. The Salesforce Salesforce-Data-Cloud questions are prepared by highly experienced professionals and, thus, are kept to the point and concise.

Salesforce Data Cloud Accredited Professional Exam Sample Questions (Q82-Q87):

NEW QUESTION # 82
How many Metrics can be present in 1 segment container?

A. 0
B. 1
C. 2
D. 3

Answer: A

Explanation:
Only one metric can be presentin one segment container. A segment container is a logical grouping of segments that share the same metric and granularity. A metric is a calculated insight that defines and calculates a multidimensional measure on your data. A granularity is the level ofdetail at which you want to analyze your data, such as daily, weekly, or monthly. You can create multiple segment containers with different metrics and granularities, but each segment container can only have one metric.
References: Segment Containers

NEW QUESTION # 83
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:
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 # 84
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 # 85
What is the first step to set up and configure a Data Cloud instance after it has been provisioned?

A. Connect to the Salesforce CRM org Data Cloud is provisioned in
B. Complete the Salesforce Data Cloud "Get Started'' process
C. Connect to the Marketing Cloud Account Data Cloud is provisioned in
D. Enable Customer Data Cloud Admin permission set to the relevant Salesforce CRM user

Answer: A

Explanation:
This is the first step to set up and configure a Data Cloud instance after it has been provisioned. The customer needs to connect to the Salesforce CRM org that Data Cloud is provisioned in, using the Salesforce CRM connector. This will allow Data Cloud to access the CRM data and map it to the Customer 360 data model. Reference: [Salesforce CRM Connector], [Data Cloud Setup]

NEW QUESTION # 86
Which of the followingcannotbe used in Segmentation? (Choose 2)

A. Text Measures
B. Aggregate Functions
C. Numeric Measures
D. Date Time Measures

Answer: A,D

Explanation:
Explanation
Text Measures and Date Time Measures cannot be used in Segmentation. Segmentation is the process of creating filtered audience segments based on calculated insights. Calculated insights are metrics that define and calculate multidimensional measures on your data. Only Numeric Measures can be used as calculated insights, because they can be aggregated using functions such as SUM, AVG, MIN, MAX, or COUNT. Text Measures and Date Time Measures are not types of measures, but types of dimensions. Dimensions are fields that can be used to group or filter data, but not to perform calculations. References: Measures and Dimensions

NEW QUESTION # 87
......

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Daniel Thomas Daniel Thomas

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