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.

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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%

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.