Salesforce-Data-Cloud Salesforce Data Cloud Accredited Professional Exam (SP24) Dumps
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Sample Question 4
Which two common use cases can be addressed with
Data Cloud?
A. Harmonize
data from multiple sources with a standardized and extendable data model
B. Understand and act upon customer data to drive more relevant experiences C. Safeguard critical business data by serving as a centralized system for backup and disaster recovery D. Govern enterprise data lifecycle through a centralized set of policies and processes
Answer: A,B Explanation Data Cloud can address these two common use cases by providing a platform that allows customers to ingest, map, enrich, and activate data from various sources using the Customer 360 data model, and by enabling customers to create segments, insights, and activations based on their customer data. References: [Data Cloud Overview], [Customer 360 Data Model], [Data Activation]
Sample Question 5
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?
A.
Unified Individual > Individual > Sales Order
B. Unified Individual > Unified Link Individual > Sales Order C. Sales Order > Unified Individual D. Sales Order > Individual > Unified Individual
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.
Sample Question 6
What
are three benefits of Calculated Insights over Segmentation Operators?
A.
Calculated Insights
are better suited
for non-trivial calculations, such as calculating a Net Promoter Score as a percentage
B. Calculated Insights results can be refreshed near real time C. Calculated Insights are better suited for single row based operation D.
Calculated Insights can query engagement data
greater than 2 years
E. Calculated Insights are better suited for complex queries over multiple objects
Answer: A,D,E Explanation Calculated Insights are predefined and calculated metrics that can help you build segments. Some of the benefits of Calculated Insights over Segmentation Operators are: Calculated Insights are better suited for non-trivial calculations, such as calculating a Net Promoter Score as a percentage, which would require multiple steps and operators in segmentation. Calculated Insights can query engagement data greater than 2 years, while segmentation operators are limited to 2 years of engagement data. Calculated Insights are better suited for complex queries over multiple objects, such as joining data from different sources or aggregating data across different levels.
Sample Question 7
A customer has a
custom 'Customer_Email_c' object related to the standard 'Contact' object in
Salesforce CRM. To which data entity is this mapped?
A.
Contact
B. Contact Point Email C. Custom 'Customer_Email' Object D. Individual
Answer: B ExplanationThe custom
‘Customer_Email_c’ object related to the standard ‘Contact’ object in
Salesforce CRM should be mapped to the Contact Point Email entity in the
Customer 360 data model. This entity represents an email address that is
associated with an individual or an account contact. References: [Contact Point
Email Entity]
Sample Question 8
What is the correct
formula to display
the value of the raw data column of "RetailPrice' plus an additional 5 percent?
A.
sourceField['RetailPrice1*l .05
B. SELECT(['RetailPrice']*1.05) C. sourceField['retailprice']*1.05 D. SELECT(['retailprice']*1.05)
Answer: C Explanation This is the correct formula to display the value of the raw data column of “RetailPrice” plus an additional 5 percent. The formula uses the sourceField function to access the raw data column, and then multiplies it by 1.05 to add 5 percent. The formula is case-sensitive, so the column name must match exactly with the raw data column name. References: [Formula Editor], [sourceField Function]
Sample Question 9
What should an administrator do to pause a segment
activation but with the intent
of using that segment again?
A.
Inactivate the segment
B. Delete the segment C. Stop the Publish Schedule D. Skip the Activation
Answer: C Explanation To pause a segment activation but with the intent of using that segment again, the administrator should stop the publish schedule for that segment. This will stop the segment from being refreshed and activated, but it will not delete or inactivate the segment. The administrator can resume the publish schedule at any time.
Sample Question 10
When
performing Segmentation or Activation, which timezone is used to publish and
refresh data?
A.
Timezone of the Data Cloud Admin user
B. Timezone is explicitly specified when creating a segment or activation C. Timezone set by the Salesforce Data Cloud org D.
Timezone of the user defining the activity
Answer: C Explanation According to the Salesforce Data Cloud documentation1, the timezone used for Segmentation and Activation is the one set by the Salesforce Data Cloud org, not by the individual user or admin. This ensures consistency and accuracy across different users and regions.
Sample Question 11
When setting
up the data source object
or schema for data ingestion, what are the three data categories to
select from?
A.
Engagement
Data
B. Event Data C. Other Data D. Order Data E. Profile Data
Answer: A,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. References: [Data Categories]
Sample Question 12
What
is the first step to set up and configure a Data Cloud instance after it has
been provisioned?
A.
Complete the Salesforce Data Cloud "Get
Started'' process
B. Connect to the Marketing Cloud Account Data Cloud is provisioned in C. Enable Customer Data Cloud Admin permission set to the relevant Salesforce CRM user D.
Connect to the Salesforce CRM org Data Cloud
is provisioned in
Answer: D 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. References: [Salesforce CRM Connector], [Data Cloud Setup]
Sample Question 13
Which
two dependencies need to be removed prior to disconnecting a data source?
A.
Activation
Target
B. Data Stream C. Segment D. Activation
Answer: B,C Explanation These are the two dependencies that need to be removed prior to disconnecting a data source. A data stream is a process that ingests data from a data source into Data Cloud. A segment is a group of customers that meet certain criteria based on their data. If a data source is disconnected, any data streams or segments that depend on it will no longer function properly. References: [Data Sources], [Data Streams], [Segments]
Sample Question 14
What is the result of a segmentation criteria
filtering on City | Is Equal To I
'San Jose?
A.
Cities containing 'San Jose', 'San Jose',
'san jose'. or 'san jose'
B. Cities only containing 'San Jose' or 'San Jose' C. Cities only containing 'San Jose' or 'san jose' D. Cities only containing 'San Jose' or 'san jose'
Answer: C Explanation According to the
Data Cloud documentation, the Is Equal To operator is case-insensitive, meaning
it matches values regardless of capitalization. Therefore, the segmentation
criteria filtering on City | Is Equal To | ‘San Jose’ will include cities that
contain either ‘San Jose’ or ‘san jose’.
Sample Question 15
When creating a
segment on an individual, what is the result of using two separate containers
linked by an AND: At Least 1 of GoodsProduct.Color Is Equal To 'red' AND At
Least 1 of GoodsProduct.PrimaryProductCategory Is Equal To shoes'?
A.
Individuals who purchased at least 1 of any
red' product and also purchased at least 1 pair of shoes'
B. Individuals who purchased at least 1 'red shoes' as a single line item in a purchase C. Individuals who purchased at least 1 'red shoes'. 1 of any red' item, or 1 of any 'shoes' item in a purchase D. Individuals who made a purchase of at least 1 of only 'red shoes' and nothing else
Answer: A Explanation According to the Data Cloud documentation, when using two separate containers linked by an AND operator, the segment includes individuals who meet both conditions. In this case, the segment includes individuals who purchased at least one product with the color attribute equal to ‘red’, and also purchased at least one product with the primary product category attribute equal to ‘shoes’. The products do not have to be the same or in the same order line item.c
Sample Question 16
Which
two dependencies can prevent a Data Stream from being deleted?
A. A data
stream attribute is mapped to a Data Model object
B. A data stream attribute is used in Calculated Insight C.
A data stream attribute is used in Segmentation
D. A data stream attribute is used in Activation
Answer: A,B Explanation A data stream cannot be deleted if any of its attributes are mapped to a Data Model object or used in a Calculated Insight3. These dependencies need to be removed before deleting the data stream.
Sample Question 17
What
does the Source Sequence reconciliation rule do in Identity Resolution?
A.
Sets the priority of specific data sources when building attributes in a unified
profile such as a first
or last name
B. Identifies which data sources should be used in the process of reconciliation by prioritizing the most recently updated data source C. Includes data from sources where the data is alphanumerically sequenced D. Identifies which individual records should be merged into a unified profile by setting a priority for specific data sources
Answer: A Explanation The Source Sequence reconciliation rule allows you to sort your data sources in order of most to least preferred for inclusion in a unified profile9. For example, you can specify that data from Marketing Cloud should have higher priority than data from Service Cloud when selecting attributes such as first name or last name.
Exam Code: Salesforce-Data-CloudExam Name: Salesforce Data Cloud Accredited Professional Exam (SP24)Last Update: May 13, 2024Questions: 92