Description

Introduction of Adobe Analytics Developer Professional:
The Adobe Analytics Developer Professional certification is designed for professionals who want to enhance their skills in implementing and managing Adobe Analytics solutions. This course provides a comprehensive understanding of the Adobe Analytics platform, including its core features, data collection methods, and reporting capabilities. Participants will learn how to set up and customize tracking for various digital assets, create meaningful reports, and analyze user behavior to drive data-informed decision-making.

Through hands-on exercises and real-world scenarios, candidates will gain practical experience in configuring Adobe Analytics, utilizing various tools for data visualization, and developing custom reports that align with business objectives. This certification emphasizes best practices for leveraging data to optimize digital marketing strategies and enhance user experiences. By completing this course, professionals will be equipped to implement Adobe Analytics solutions effectively, ensuring that organizations can derive actionable insights from their data.

Prerequisites:

1. Basic Knowledge of Adobe Analytics:
   Familiarity with the Adobe Analytics interface and its basic functionalities.
2. Understanding of Digital Marketing Concepts:
   A foundational understanding of digital marketing principles and analytics is beneficial.
3. Experience with Data Analysis Tools:
   Prior experience using data analysis or visualization tools will enhance the learning experience.
4. Analytical Skills:
   Strong analytical thinking to interpret data and derive insights effectively.
5. Technical Skills (Optional):
   Basic knowledge of JavaScript or web development concepts can be advantageous.

CREATED FOR:

• Experienced
• Developer

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: Professional (0-12 months’ experience)
• Passing Score: 31/50
• Time: 100 mins
• Delivery: Online proctored (requires camera access)
• Available languages: English
• Cost: $125 (global) and $95 (India)
• Exam ID: AD0-E213

Intended audience

• Implementation Specialists/Engineers
• Developers
• Architects

Minimum experience

You should have:

• 6-12 months’ experience in Adobe Analytics implementation (web and mobile app)
• Experience supporting Analytics Implementation teams in bridging between IT and the business to understand how business requirements translate into a technical solution (SDR), and based on requirements provided by the analyst
• Understanding of 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 should also have experience with the following tasks:

• Interpreting a Solutions Design Document (SDR) and understand the purpose of all Adobe Analytics variables collected
• Understanding and work with Adobe (Experience Platform) Launch
• Understanding configuration of baseline Adobe Analytics dimensions and events Page Name, Link Name, Activity Map, and so on, but will work with expert developers for more customer implementations – Variable mapping is still owned by Expert level developers
• Creating and configuring rules within Launch following the design provided by an AA expert
• Testing and validating the data being captured in variable and events firing by leveraging web console debuggers or mobile app systems like charles logs
• Understanding what a data layer is and knows how to read a JavaScript object
• Sharing reports, segments, and the process to request access, but not how to manage user groups, governance protocols, as well as manage the SDR
• Providing guidance and configure mobile/SDK solution
• Understanding general framework behind Video tracking (event-based) given knowledge base documentation
• Performing basic reporting from Analysis Workspace and understanding the data outputs available from the Adobe Analytics Data Warehouse
• Basic experience with Adobe Experience Platform Launch (Adobe Launch)

Exam objectives and scope

This section provides information on the exam content.

1: Analytics in the Adobe Experience Cloud Eco-system (14%)

• Identify features and capability of Adobe Experience Cloud ID.
• Identify uses for Adobe Launch.(Ref: Adobe InDesign)
• Identify how to enable / support Adobe Analytics tags in the Adobe Experience Cloud Eco-system.

2: Analytics Strategy and Design based on a SDR (12%)

• Given a Solution Design Reference, identify which data objects have to be populated.
• Given a part of a Tech Spec document, identify how to implement the data capture.

3: Analytics Implementation and Configuration (30%)

• Identify the steps to deploy Adobe Analytics Code.
• Identify functions of minimal deployment code for Analytics tracking.
• Identify the steps to configure various components within Adobe Analytics UI.
• Identify functions of Adobe Analytics report suite and variable settings.
• Identify the characteristics of a data layer and data layer values.
• Identify App Measurement functions for tracking features such as link tracking and e-commerce tracking.

4: Tag Management Systems (18%)

• Identify if requirements have been met using tag audits.
• Identify the steps to configure website tagging with Adobe Launch.
• Given a scenario, identify how to enable, modify, and troubleshoot extensions in Adobe Launch.
• Identify how to create rules and data elements.

5: Components of Adobe Analytics (8%)

• Identify the functions of Adobe Analytics API (data feed, warehouse, data sources, reports).
• Identify the characteristics of processing rules.

Section 6: Testing, Validation, and Troubleshooting (18%)

• Identify the meaning of common JavaScript errors.
• Identify the meaning of common Adobe Analytics variables errors.
• Given a scenario, identify testing and debugging validation best practices that should be followed.
• Identify how to track an Adobe Analytics server call (i.e. From beacon request to showing up in the report.)

Readiness questionnaire

This online readiness questionnaire is a self-assessment. It will help you gauge whether your current experience matches the recommended minimum candidate qualifications.

Conclusion:
Adobe Analytics Developer Professional certification empowers professionals to implement and manage Adobe Analytics solutions effectively, driving data-driven decision-making in their organizations. By mastering these skills, candidates can enhance their analytical capabilities and contribute to improved digital marketing strategies. Achieving this certification demonstrates a commitment to excellence in digital analytics practices.

Reference