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Salesforce-Certified-Marketing-Cloud-Consultant Exam Format | Salesforce-Certified-Marketing-Cloud-Consultant Course Contents | Salesforce-Certified-Marketing-Cloud-Consultant Course Outline | Salesforce-Certified-Marketing-Cloud-Consultant Exam Syllabus | Salesforce-Certified-Marketing-Cloud-Consultant Exam Objectives

Salesforce-Certified-Marketing-Cloud-Consultant Exam Information and Guideline

Certified Marketing Cloud Consultant



Below are complete topics detail with latest syllabus and course outline, that will help you good knowledge about exam objectives and topics that you have to prepare. These contents are covered in questions and answers pool of exam.





The Salesforce Marketing Cloud Consultant exam measures a candidate’s knowledge and skills related to the following objectives. A candidate should have hands-on experience with the Marketing Cloud Email application and demonstrate the knowledge and expertise in each of the areas below.



Discovery: 15%

Provided with a set of business requirements, determine what additional information is needed to design the recommended solution.

Provided with a list of branding and creative strategies, probe for additional information that is needed to recommend an appropriate solution.

Provided a customer environment and goals, determine the viability of external systems that need to be included in the solution (for example; POS, CRM, eCommerce, data warehouse, data source inputs).

Demonstrate how to gather requirements in order to put together the data and segmentation strategy for the customer (for example; frequency, complexity, volume of sending).

Given a scenario that includes customer information about subscriber acquisition, management, and attrition, utilize this information to select solution components.

Given a solution, recommend the appropriate customer skill sets required to utilize the Marketing Cloud application.

Conceptual Design: 12%

Analyze customer data to determine the appropriate data model (for example; List model, Data Extensions).

Given a scenario, determine the appropriate solution for given requirements considering technical expertise of personas (for example; Automation Studio vs. Journey Builder).

Given a narrative data flow, select the correct data flow diagram that depicts that data flow.

Given a customer scenario, identify which User Stories are appropriate to use for accessing Marketing Cloud.

Given a customer scenario, determine the factors to consider when scaling the solution.

Articulate how data construct will drive one-to-one messaging and content.

Explain the purpose of IP Warming and make a recommendation based on customer needs.

Marketing Cloud Connect: 6%

Understand the prerequisites to consider prior to starting a Marketing Cloud Connect configuration (for example; Salesforce edition, list of integration users, scope user, administrator credentials).

Understand how to send an email to a contact, lead, campaign, and report via the Sales/Service Cloud and Marketing Cloud (for example; sending, triggered, automated).

Understand how Sales/Service Cloud data in the Marketing Cloud can be segmented.

Account Configuration: 10%

Given a customer scenario, recommend the appropriate Marketing Cloud role based on User Stories.

Determine which type of customer scenario warrants the creation of a business unit (for example; publication types, demographic, workflow processes, and organizational structure).

Given a scenario, troubleshoot issues regarding Reply Mail Management.

Analyze the impact of applying a Sender Authentication Package (SAP) to a business unit (for example; link wrapping, Landing Pages, image URLs).

Reporting: 5%

Explain how the information in data views and tracking extracts are accessed.

Compare and contrast standard reports, data views, and tracking extracts.

Summarize Send Logs, including when/why to use it and how to create and manage.

Data Design: 12%

Explain the various data objects in the Marketing Cloud (for example; data extensions, list model, data retention model, publication lists, suppression lists).

Understand available data types, retention, and template options when building a data extension.

Understand how data is retrieved within a Relational Data Model (for example; basic SQL).

Given a customer scenario, recommend the appropriate import method with lists or data extensions.

Understand the implications of a system being database of record.

Automation: 8%

Given a customer scenario, select the appropriate workflow that meets the business requirement (for example; import, segmentation, email send).

Compare and contrast triggered and scheduled interactions.

Email Build: 7%

Understand the required steps to build, test, and deploy an email based on customer requirements.

Explain the various ways to individualize email content (for example; AMPscript, personalization strings, Dynamic Content, Guide Template Language).

Compare and contrast the ways to individualize content, such as SSJS vs. AMPscript, Dynamic Content Wizard vs. AMPscript/LookupRows function.

Explain various Marketing Cloud Email technologies (for example; Link Alias tags, Impression regions, Web Analytics Connector).

Contact Builder: 15%

Explain the role and capabilities within Contact Builder.

Understand how cardinality impacts data modeling.

Summarize how to use Data Designer to incorporate data source into Contact Builder.

Given a customer scenario, know how to build an Attribute Group to be used for a simple interaction.

Journey Builder: 10%

Compare and contrast automation tools, such as Journey Builder and Automation Studio.

Given a customer scenario that includes Journey Builder, evaluate the requirements, activities, and steps.

Explain the requirements for and the methods by which a contact can enter a Journey.

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