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Adobe Analytics Developer Expert Certification Path

This page provides information on how to attain this certification. It includes a description of the exam, study materials, step-by-step instructions on the certification process, and how to renew your certification.

Exam description

Learn who should take this exam, what experience is recommended, and what subjects are covered on the exam.

Exam details


  • Level: Expert (1-3 years’ experience)
  • Passing Score: 31/50
  • Time: 120 mins
  • Delivery: Online proctored (requires camera access)
  • Available languages: English, Japanese
  • Cost: $225 (global) and $150 (India)
  • Exam ID: AD0-E209 (English), AD0-E209-J (Japanese)

Intended audience


  • Implementation Specialists/Engineers
  • Developers
  • Architects

 

 

 

 

Minimum experience

 

You should have experience as an implementation consultant in a hybrid role with about 2 years’ experience in Adobe Analytics implementation. You act as the bridge between IT and the business, translate the business requirements into a technical solution (SDR), and, based on requirements provided by the analyst, understand which type of variable is needed, where and how to collect the data, design the data model (data layer), configure and maintain the tag management solution.

You, as the Analytics Developer, rarely implement the tags on the page; instead, they are implemented by IT or the system integrator.

 

You should be familiar with the following tools and environments:

 

Tools:

 

  • Adobe Experience Platform Launch (Adobe Launch)
  • Debugging tools relevant to Adobe Analytics (Packet monitor such as Adobe Debugger, browser developer tools, Charles)
  • Adobe Analytics Admin Console report suite settings
  • Basic Workspace knowledge
  • Web development tools, code editor and mobile debugging tools
  • Adobe Auditor
  • Processing rules
  • Classification rules – regex-based classification rules
  • JavaScript errors
  • Basic understanding of the available Adobe Analytics related APIs
  • Adobe I/O integration

 

Environments:

 

  • Front-end web development environments
  • Knowledge of mobile application (limitations and differences, for example, why it is different than web)
  • The field of digital marketing
  • Minimal knowledge of backend development environments including PC, Mac, Android/iOS operating systems (basic operations, not development)

 

 

 

 

Exam objectives and scope

 

This section provides information on the exam content.

 

Section 1: Understanding Analytics in the Adobe Experience Cloud Ecosystem (10%)

 

  • Demonstrate knowledge on utilizing the Adobe Experience Cloud ID
  • Demonstrate understanding of Adobe Launch
  • Demonstrate understanding of common integrations across the Adobe Experience Cloud Ecosystem

 

Section 2: Strategy and design based on a solution design reference (SDR) (6%)

 

  • Interpret a Solution Design Reference to develop efficient code for data capture
  • Use the Tech Spec for populating data objects

 

Section 3: Analytics Implementation and Configuration (36%)

 

  • Determine which environment to deploy Adobe Analytics Code
  • Execute a minimal deployment code for Analytics tracking
  • Configure various components within Adobe Analytics UI
  • Configure Adobe Analytics report suite and variable settings
  • Utilize a data layer within a deployment
  • Execute advanced tracking features such as link tracking and product strings

 

Section 4: Tag management systems (20%)

 

  • Enumerate requirements to deploy Adobe Experience Platform Launch in Adobe Analytics
  • Apply processes to configure website tagging with Adobe Launch
  • Enumerate requirements to enable extensions and Adobe Launch
  • Create rules and data elements

 

Section 5: Mobile services (8%)

 

  • Apply processes to configure and execute a base pre-deployment code for mobile
  • Demonstrate understanding of processing rules and mobile services

 

Section 6: Testing, validation, and troubleshooting (20%)

 

  • Troubleshoot JavaScript errors
  • Troubleshoot Adobe Analytics variables
  • Recommend testing and debugging best practices
  • Troubleshoot an Adobe Analytics server call across its lifecycle (that is, from beacon request to showing up in the report)

 

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