How to Pass Salesforce Marketing Cloud Intelligence (f.k.a. Datorama) Accredited Professional Exam
2. About the Salesforce Marketing Cloud Intelligence Accredited Professional Exam
The Marketing Cloud Intelligence Accredited Professional exam is designed for individuals who have technical implementation experience with the Marketing Cloud platform.
 | Content | 40 multiple-choice/multiple-select questions |
 | Time allotted | 90 minutes |
 | Passing score | 60% (24 out of 40 questions) |
 | Exam Fee | USD 150 plus applicable taxes |
 | Retake Fee | USD 150 plus applicable taxes |
 | Prerequisite | None |
3. Exam Outline
| Topic | Weighting | Questions |
|---|---|---|
| ● General Marketing Cloud Intelligence functionality & knowledge | 5% | 2 Questions |
| ● Common Marketing Cloud Intelligence functions | 2.5% | 1 Question |
| ● Marketing Cloud Intelligence ingestion capabilities and their outcomes | 12.5% | 5 Questions |
| ● Data Update permissions, including related settings ● General Parent-Child setups, including ‘Source of Truth’ requirement | 12.5% | 5 Questions |
| ● Harmonization methods, properties, pros & cons | 5% | 2 Questions |
| ● Vlookup statements and general vlookup properties | 5% | 2 Questions |
| ● Knowledge of Overarching Entities, including ability to identify which use cases it can be applied to and how | 2.5% | 1 Question |
| ● Use cases for Data Fusion and its properties | 2.5% | 1 Question |
| ● Calculated objects and their functionalities ● Ability to recognize different aggregation types | 7.5% | 3 Questions |
| ● Harmonization Center and its capabilities, including Classification Rules, Validation Lists, Patterns and Harmonized Dimensions | 12.5% | 5 Questions |
| ● CRM properties and behavior within Marketing Cloud Intelligence | 12.5% | 5 Questions |
| ● Perform common QA steps for various platform scenarios | 10% | 4 Questions |
| ● Marketing Cloud Intelligence data model entities and its relationships ● Data categorization, including main entities, keys and attributes | 5% | 2 Questions |
| ● Identify invalid solutions from multiple solution design diagrams | 2.5% | 1 Question |
| ● Identify valid solutions from multiple solution design diagrams | 2.5% | 1 Question |
4. Salesforce Salesforce Marketing Cloud Intelligence Accredited Professional Exam Study Course
Financial Services Cloud Accredited Professional Exam curriculum is available on Partner Learning Camp. Please refer to Accredited Professional Partner Community Page for details.
6. Important Topics for Salesforce Marketing Cloud Intelligence Accredited Professional Exam
- Marketing Cloud Intelligence for Marketing
- Marketing Cloud Intelligence relieves common marketing pain points by providing:
- One single source of data truth
- One unified view of marketing intelligence
- Reporting automation and collaboration
- Marketing Cloud Intelligence platform helps you
- Connect and unify all your marketing data and insights in one centralized platform across Marketing Cloud technologies and any other tools and technologies in the market—with clicks, not code.
- Analyze and report across all channels and campaigns so every stakeholder in the organization has the right information at their fingertips. Visualize AI-powered insights across all data to take action at scale to achieve KPIs.
- Act and collaborate to drive ROI to bring the organization together toward common goals using built-in activation and collaboration tools to connect your marketing technology stack and decision makers.
- Marketing Cloud Intelligence can help business-to-consumer (B2C) and B2B marketers optimize their campaign and marketing performance.
- The Marketing Cloud Intelligence Data Model
- Data sets are made up of a collection of fields that can either be categorized as measurements or dimensions:
- Measurements are simply numbers whose purpose is to count or quantify given dimension values. For example, impressions, clicks, and conversions are data measurements.
- Dimensions are usually a textual description or characteristic of a given field. Examples include campaign name, site name, and creative type.
- Data streams facilitate the automatic uploading of data from various sources, as well as the mapping of the source fields to the relevant Marketing Cloud Intelligence fields.
- Popular Data Stream Types
- Ads data stream.
- Conversion tag data stream.
- Search keyword data stream.
- Benefits to this automatic harmonization of data in Marketing Cloud Intelligence.
- It structures and organizes your data and establishes clear relationships within it.
- It unifies business insights from different sources.
- It merges multiple data sources and formats, allowing these sources to be seamlessly compared and analyzed using uniform criteria.
- Overarching entities are workspace level entities, not data stream level. This means they don’t just apply to data from a particular data stream, but rather to all the data in the workspace.
- Data Uploading in Marketing Cloud Intelligence
- Three methods for uploading data in Marketing Cloud Intelligence:
- API Connectors: This method allows you to connect to external platforms through the use of their APIs. With API connectors, the source fields are automatically mapped to the corresponding Marketing Cloud Intelligence fields, based on the data model.
- TotalConnect: This method allows you to upload any flat file into the system through the Marketing Cloud Intelligence data model, and thereby customize data ingestion.
- LiteConnect: LiteConnect allows for effortless uploading of files into Marketing Cloud Intelligence without using the predefined structure of the Marketing Cloud Intelligence data model or performing any data mapping.
- Data Analysis in Marketing Cloud Intelligence
- Pivot tables are an effective and dynamic tool used to analyze your data. They arrange and display data in order to make it more useful.
- Data Harmonization in Marketing Cloud Intelligence
- Data harmonization: Bringing together data from multiple sources to function in unison as if they were a single data source.
- Data classification is the grouping of certain dimension values that share a common theme.
- Data Visualization with Marketing Cloud Intelligence
- The visualization process in Marketing Cloud Intelligence includes three primary elements.
- Collections enable you to synergize all your data and consume it in one place. No matter where data is coming from—a data stream or an app—you can visualize, organize, and personalize it all together in a collection.
- Pages are needed to visualize your data. You can have multiple pages within your collection to assist you in dividing the visualization into manageable sections. The following pages are available in Marketing Cloud Intelligence:
- Blank dashboard pages – Used to create visualizations of your data without any predefined settings or design.
- Dashboard templates – Pages that are created based on a dashboard template that has been saved to the workspace, allowing you to replicate your dashboard pages across your collections and workspace.
- App pages – Pages that are added to your collections, which display all the valuable data that is generated from an installed app, enabling you to visualize and customize a marketplace app all within your collection.
- Widgets are the graphic elements that appear on the page, such as pie charts, tables, and bar graphs.
Additional Resources
Note:
This article is still in progress.
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