Discovery |
13% |
- 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. (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. (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. (List model, Data Extensions)
- In a given scenario, determine appropriate solution for given requirements considering technical expertise of personas. (Automation Studio vs. Journey Builder, for example)
- In a given narrative data flow, select the correct data flow diagram that depicts that data flow.
- In a given customer scenario, identify which User Stories are appropriate to use for accessing Marketing Cloud.
- In a given customer scenario, determine 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 And Account Configuration |
18% |
- Understand the prerequisites to consider prior to starting a Marketing Cloud Connect configuration. (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. (sending, triggered, automated)
- Understand how Sales / Service Cloud data in the Marketing Cloud can be segmented.
- 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. (publication types, demographic, workflow processes, organizational structure)
- In a given scenario, troubleshoot issues regarding Reply Mail Management.
Analyze the impact of applying Sender Authentication Package (SAP) to a business unit. (link wrapping, landing pages, image URLs)
|
Reporting And Data Design |
20% |
- 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; how to create and manage.
- Explain the various data objects in the Marketing Cloud. (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. (basic SQL)
- Given a customer scenario, recommend appropriate import method with list or data extensions.
- Understand the implications of a system being database of record.
|
Automation And Email Build |
14% |
- Given a customer scenario, select the appropriate workflow that meets the business requirement. (import, segmentation, email send)
- Compare and contrast triggered and scheduled interactions.
- Understand the required steps to build, test, and deploy an email based on customer requirements.
- Explain the various ways to individualize email content. (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. (Link Alias tags, Impression regions, Web Analytics Connector)
|
Contact Builder |
14% |
- Explain the role and capabilities within Contact Builder. (tools such as data designer, all contacts, data extensions, imports, data sources, contact configuration)
- Understand how cardinality and root relationships impact 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 |
11% |
- Compare and contrast the automation tools, such as Journey Builder, Automation Studio, and Pardot.
- 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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