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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%
- Provided with a set of business requirements, determine what additional information is needed to design the recommended solution.
- Given a scenario that includes customer information about subscriber acquisition, management, and attrition,utilize this information to select solution components.
- 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.
- 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.
- Articulate how data construct will drive one-to-one messaging and content.
- 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.
- Analyze customer data to determine the appropriate data model (for example; List model, Data Extensions .
- Given a narrative data flow, select the correct data flow diagram that depicts that data flow.
- Given a customer scenario, determine the factors to consider when scaling the solution.
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.
- 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).
- 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%
- Explain how the information in data views and tracking extracts are accessed.
- 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.
6. Data Design: 12%
- 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.
- Explain the various data objects in the Marketing Cloud (for example; data extensions, list model, data retention model, publication lists, suppression lists).
- 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%
- Explain various Marketing Cloud Email technologies (for example; Link Alias tags, Impression regions, Web Analytics Connector).
- Explain the various ways to individualize email content (for example; AMPscript, personalization strings, Dynamic Content, Guide Template Language).
- Understand the required steps to build, test, and deploy an email based on customer requirements.
- Compare and contrast the ways to individualize content, such as SSJS vs. AMPscript, Dynamic Content Wizard vs. AMPscript/LookupRows function.
9. Contact Builder: 15%
- Given a customer scenario, know how to build an Attribute Group to be used for a simple interaction.
- Summarize how to use Data Designer to incorporate data source into Contact Builder.
- Understand how cardinality impacts data modeling.
- Explain the role and capabilities within Contact Builder.
10. Journey Builder: 10%
- Explain the requirements for and the methods by which a contact can enter a Journey.
- 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.
How much Marketing-Cloud-Consultant Exam Cost
The price of the Marketing-Cloud-Consultant exam is 200 USD and retake exam fees is 100 USD plus applicable taxes.
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For more info visit:
Salesforce Marketing-Cloud-Consultant Exam Reference
Reference: https://trailheadacademy.salesforce.com/certificate/exam-mce-consultant---MCE-Con-201
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Salesforce Marketing-Cloud-Consultant日本語 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Marketing Cloud Setup and Architecture | - User roles, permissions, and security model - Account configuration and setup |
| Email Marketing and Content | - Email content creation and personalization - Deliverability and sender authentication |
| Data Management | - Data extensions and data modeling - Subscriber data management and segmentation - Data imports, extracts, and synchronization |
| Integration and Messaging | - Cross-channel messaging concepts - API integrations and data exchange |
| Automation and Journey Orchestration | - Automation Studio activities - Journey Builder design and execution |
| Analytics and Reporting | - Reporting and dashboard interpretation - Tracking and performance metrics |




