Salesforce Marketing-Cloud-Consultant Exam

Salesforce Marketing-Cloud-Consultant Exam is related to Salesforce Certified Marketing Cloud Consultant Certification. This exam validates the candidate ability to implement Marketing Cloud Email Studio, Journey Builder, Automation Studio, Content Builder, Contact Builder, and Marketing Cloud Connect in a customer-facing role. It also deals with the ability to administrate and configure Marketing Cloud Email application, marketing Cloud by demonstrating implementation design best practices, executing the deployment of campaigns, and finalizing custom solutions for customers.

Salesforce Marketing-Cloud-Consultant Exam Syllabus Topics:

Reference: https://trailheadacademy.salesforce.com/certificate/exam-mce-consultant---MCE-Con-201

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Marketing-Cloud-Consultant Exam topics

Candidates must know the exam topics before they start of preparation. Because it will really help them in hitting the core. Our Salesforce Marketing-Cloud-Consultant exam dumps will include the following topics:

1. Discovery: 15%

• 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).
• Provided with a list of branding and creative strategies, probe for additional information that is needed to recommend an appropriate solution.
• Given a scenario that includes customer information about subscriber acquisition, management, and attrition,utilize this information to select solution components.
• Provided with a set of business requirements, determine what additional information is needed to design the recommended 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).
• Given a solution, recommend the appropriate customer skill sets required to utilize the Marketing Cloud application.

2. Conceptual Design: 12%

• 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.
• 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).
• Explain the purpose of IP Warming and make a recommendation based on customer needs.
• Given a narrative data flow, select the correct data flow diagram that depicts that data flow.

3. 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 Sales/Service Cloud data in the Marketing Cloud can be segmented.
• 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).

4. Account Configuration: 10%

• Given a customer scenario, recommend the appropriate Marketing Cloud role based on User Stories.
• Analyze the impact of applying a Sender Authentication Package (SAP) to a business unit (for example; link wrapping, Landing Pages, image URLs).
• Given a scenario, troubleshoot issues regarding Reply Mail Management.
• Determine which type of customer scenario warrants the creation of a business unit (for example; publication - types, demographic, workflow processes, and organizational structure).

5. Reporting: 5%

• Summarize Send Logs, including when/why to use it and how to create and manage.
• Compare and contrast standard reports, data views, and tracking extracts.
• Explain how the information in data views and tracking extracts are accessed.

6. 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 how data is retrieved within a Relational Data Model (for example; basic SQL).
• Understand the implications of a system being database of record.
• Understand available data types, retention, and template options when building a data extension.
• Given a customer scenario, recommend the appropriate import method with lists or data extensions.

7. Automation: 8%

• Compare and contrast triggered and scheduled interactions.
• Given a customer scenario, select the appropriate workflow that meets the business requirement (for example; import, segmentation, email send).

8. Email Build: 7%

• Compare and contrast the ways to individualize content, such as SSJS vs. AMPscript, Dynamic Content Wizard vs. AMPscript/LookupRows function.
• 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).
• Explain various Marketing Cloud Email technologies (for example; Link Alias tags, Impression regions, Web Analytics Connector).

9. Contact Builder: 15%

• 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.
• Explain the role and capabilities within Contact Builder.
• Understand how cardinality impacts data modeling.

10. Journey Builder: 10%

• Compare and contrast automation tools, such as Journey Builder and Automation Studio.
• Explain the requirements for and the methods by which a contact can enter a Journey.
• Given a customer scenario that includes Journey Builder, evaluate the requirements, activities, and steps.

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