Introduction

The Adobe Qualified - Adobe Experience Platform exam guide provides potential candidates with information they need to prepare for the exam.

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Exam Guide Sections:

• Intended audience
• Exam information
• The candidate ready to take the test
• Exam objectives and scope
• Online sample test
• Recommended Training
• Preparing for the exam

Intended Audience

• Individuals who take this exam have industry experience and then learn Adobe Experience Platform. Typical job titles for individuals preparing for this exam include: Data Architect/Modeler, Data Analyst, Data Engineer, Data Science Engineer, Data Scientist
• You should already have industry knowledge in Database tools/BI tools, Data Science modeling tools
• You should be familiar with how data relationships work, and also with ETL (Extract Transform and Load)

Exam Information

• Exam number: AD2-E551
• Exam name: Adobe Qualified - Adobe Experience Platform
• Certificate level: Qualified
• Status: Active
• Available languages: English
• Number of questions: 28
• Formats: Multiple choice and multiple select
• Duration: 60 minutes
• Delivery: Online, unproctored
• Passing mark: 75% or 21/28 [Please note: Percentage score would only be seen on older exam scores.]
• Price: Free

The Candidate Ready to Take the Exam

At a minimum, candidates should have knowledge of the following:

• Browse through the Experience Platform UI
• High level understanding of each UI component
• Identify schemas, classes, and mixins
• Create datasets
• Use the mapper workflow
• Ingest data
• Create basic segments
• Have an understanding of the Adobe Experience Platform application services
• Understand the feature/functionality related to retrieving profiles via an API
• Execute a query

Familiarity with the following:

• Microsoft Excel
• Postman
• Power BI

Exam Objectives and Scope

Section 1: Data Modeling (33%)

• You should be able to describe the types of classes used when modeling data. You should also be able to describe the components that make up a schema.
• You should be able to explain when to use out-of-the-box components and when to use custom components. You should be able to explain how a schema is used to build a union schema and a unified profile. You should also be able to explain how identities are used in an ID Graph

Section 2: Data Loading (33%)

• You should be able to list and describe ingestion types, and also describe the basic functionality associated with connectors
• You should be able to identify errors associated with data loading (monitoring), explain how to validate data that has been loaded, and explain dataset configuration

Section 3: Data Analysis (20%)

• You should be able to demonstrate the ability to write and execute queries
• You should be able to describe the Customer Journey Analytics application service
• You should be able to explain how Data Science Workspace (DSW) uses and writes to datasets and a unified profile

Section 4: Data Activation (14%)

• You should be able to explain how to create and evaluate segments
• You should be able to describe Real Time CDP

Online Sample Test (not available yet)

Recommended Training

You are not required to complete training below before taking the exam; you should review the topics listed above in the Exam Objectives and Scope section and ensure that you understand the concepts tested on the exam.

• Adobe Experience Platform: Release for Technical Adobe Partners | Adobe Employees
• Customer Journey Analytics: Technical Introduction Adobe Partners | Adobe Employees
• Customer Journey Analytics: Features Adobe Partners | Adobe Employees
• Real-time Customer Data Platform Release for Technical: Adobe Partners | Adobe Employees
• Journey Orchestration: Configure and Test a Journey Adobe Partners | Adobe Employees

Trouble opening the training links above? You may need to first log in to your training instance of Captivate Prime, then click on the links above.

Preparing for the Exam

Recommended Preparation: You may find the following list of references beneficial in helping you prepare for the exam.

• General
• Customer Journey Analytics Guide - Filters
• Real Time Customer Data Platform
• Customer Journey Analytics
• Data Ingestion Services
• Data Ingestion Quality
• Data Ingestion Prerequisites
• Monitor Data Flows
• Data Science Workspace Overview
• Dule Services
• Profile Identity Segmentation
• Query Service
• Query Editor
• Catalog Architecture
• Datasets
• Schema Composition

Questions and Inquiries?

Please contact the Adobe Credential Program Customer Support team.

The content of this exam guide is subject to changes and updates. Last update April 2020