Exam: Salesforce Data Cloud
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Data Cloud Accredited Professional
Earners of the Data Cloud Accredited Professional have demonstrated skills
and knowledge in designing, configuring, building, and implementing Data Cloud,
using the declarative customization capabilities of Data Cloud.
1. ABOUT THE MARKETING CLOUD CUSTOMER DATA
PLATFORM (CDP) ACCREDITED PROFESSIONAL The Marketing Cloud Customer Data
Platform (CDP) Accredited Professional exam guide is ideal for consultants who
have experience implementing and consulting on customer data
platforms in a customer-facing role. It prepares you for the CDP Accredited
Professional exam, which demonstrates your skills in designing, configuring,
building, and implementing Marketing Cloud Customer Data Platform (CDP).
The Marketing Cloud Customer Data Platform (CDP) Accredited Professional meets
maintainable and scalable customer business requirements, and contributes to a
customer’s long-term success. Any registered Salesforce partner who’s interested
in demonstrating competence with Marketing Cloud Customer Data Platform (CDP)
can take this exam. The Marketing Cloud Customer Data Platform (CDP) Accredited
Professional Exam is up to date as of 26 May 2022.
2. AUDIENCE DESCRIPTION
The Marketing Cloud Customer Data Platform (CDP) Accredited Professional
exam is for those who want broad knowledge of the Marketing Cloud Customer Data
Platform (CDP) and its capabilities and terminology. You’ll get hands-on
experience positioning and implementing Marketing Cloud Customer Data Platform (CDP).
3. THE PURPOSE OF THIS EXAM GUIDE
This exam guide helps you evaluate if you’re ready to successfully complete
the Marketing Cloud Customer Data Platform (CDP) Accredited Professional exam.
It provides information about the target audience for the exam, recommended
training and documentation, and a complete list of exam objectives, all aimed to
help you get a passing score. Salesforce highly recommends a combination of
on-the-job experience, completion of relevant Partner Learning Camp (PLC)
curriculum, and self-study to maximize your chances of passing the exam.
4. ABOUT THE EXAM
Content: 50 multiple-choice or multiple-select questions
Time allotted to complete the exam: 75 minutes
Passing score: 68%
Registration fee: USD $0, plus applicable taxes as required per local law
Delivery options: Proctored exam delivered in an online, proctored environment
that can be
accessed through Partner Learning Camp
References: No hard-copy or online materials may be referenced during the exam.
Prerequisites: None
5. RECOMMENDED TRAINING AND REFERENCES
As preparation for this exam, Salesforce recommends a combination of
hands-on experience, training courses in Partner Learning Camp, and self-study
in the areas listed in the Exam Outline section of this exam guide.
The Marketing Cloud Customer Data Platform (CDP) self-paced guided learning
courses in Partner Learning Camp prepares the learner for this exam. The courses
have direct links to required Trailhead trails, documentation, tip sheets, and
user guides. The self-study materials recommended for this exam include:
● Complete the Get to Know Marketing Cloud Customer Data Platform (CDP)
curriculum in Partner Learning Camp10 hands-on courses to learn the base
foundations of Marketing Cloud Customer Data Platform (CDP) to help you complete
successful implementations
● Review Marketing Cloud Customer Data Platform (CDP) Help documentation
6. EXAM OUTLINE
The exam measures a candidate’s knowledge and skills related to the
following topics.
Topics Weighting
Solution Overview 10%
Setup & Administration 14%
Data Ingestion & Modeling 24%
Identity Resolution 11%
Segmentation and Insights 22%
Activation 13%
API & Integrations 6%
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QUESTION 1
How can attribute names be modified to match a naming convention in Cloud File
Storage target?
A. Update attribute names in the data stream configuration
B. Update field names in the data model
C. Set preferred attribute names when configuring activation
D. Use a formula field to update the field name in an activation
Answer: B
Explanation:
You can modify the attribute names in the data model by editing the field label
or API name of the corresponding field. This will change how the attribute name
appears in the Cloud File Storage target.
QUESTION 2
Which two applications automatically create activation targets at the time
the application is connected to Data Cloud?
A. Personalization powered by Interaction Studio
B. Amazon S3
C. B2C Commerce
D. Marketing Cloud Engagement
Answer: AC
Explanation:
These two applications automatically create activation targets when they are
connected to Data
Cloud. You can use these targets to activate segments or calculated insights to
these applications.
QUESTION 3
To import campaign members into a campaign in CRM a user wants to export the
segment to Amazon S3. The resulting file needs to include CRM Campaign ID in the
name. How can this outcome be achieved?
A. Include campaign identifier into the activation name
B. Hard-code the campaign identifier as a new attribute in the campaign
activation
C. Include campaign identifier into the filename specification
D. Include campaign identifier into the segment name
Answer: C
Explanation:
You can use the filename specification option in the Amazon S3 activation to
customize the name of the file that is exported. You can use variables such as {campaignId}
to include the CRM campaign ID
in the file name.
QUESTION 4
Which two steps are required when configuring a Marketing Cloud activation?
A. Set an Activation Schedule
B. Select an Activation Target
C. Add Additional Attributes
D. Select Contact Points
Answer: BD
Explanation:
These two steps are required when configuring a Marketing Cloud activation. You
need to select an activation target that represents a Marketing Cloud business
unit and a contact point that represents a Marketing Cloud data extension.
QUESTION 5
What component of Calculated Insights can be included as attribute data in
an activation?
A. Metrics and Dimensions
B. Dimensions
C. Metrics
D. Filters
Answer: B
Explanation:
Dimensions are attributes that can be used to group or filter data in calculated
insights.
You can include dimensions as attribute data in an activation by selecting them
from the available attributes list.
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