Description

Introduction of  Adobe Analytics Architect:
The Adobe Analytics Architect Master certification is aimed at experienced professionals seeking to elevate their expertise in designing and implementing Adobe Analytics solutions for complex digital analytics challenges. This advanced course provides a comprehensive understanding of the Adobe Analytics platform, focusing on architectural best practices, data modeling, and implementation strategies that align with business objectives. Participants will learn how to architect scalable analytics solutions, integrate Adobe Analytics with other Adobe Experience Cloud products, and optimize tracking for diverse digital assets.

Prerequisites:

1. Intermediate Knowledge of Adobe Analytics:
   Familiarity with Adobe Analytics functionalities and basic implementation techniques.
2. Understanding of Digital Analytics Concepts:
   A solid foundation in digital marketing principles and analytics strategies is essential.
3. Experience with Data Integration:
   Prior experience integrating data from various sources, including Adobe Experience Cloud products.
4. Analytical and Problem-Solving Skills:
   Strong analytical thinking and problem-solving skills to address complex data challenges.
5. Technical Skills (Recommended):
   Basic knowledge of JavaScript, data layer concepts, and web development can be beneficial.

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: Master (3-5 years’ experience)
• Passing Score: 33/50
• Time: 100 mins
• Delivery: Online proctored (requires camera access)
• Available languages: English
• Cost: $225 (global) / $150 (India)
• Exam ID: AD0-E207

Intended audience

• Solutions Architect
• Technical Manager
• Data Architect
• Analytics Engineer
• Analytics Strategist
• Multi Solutions Engineer

Minimum experience

You should have a minimum 3-4 years of experience designing Adobe Analytics architecture, data layer specifications, and tag management, as well as a basic understanding of JavaScript code.

Additionally, you’re responsible for translating business requirements into tracking specifications and Adobe Analytics variables, and you’re familiar with the following technologies and environments:

• Web Analytics Applications
• Adobe Experience Cloud
• Tag Management Systems
• CMS
• Browser developer tools
• Optimization tools
• Code editors

Exam objectives and scope

This section provides information on the exam content.

1: Discovery (18%)

• Demonstrate ability to audit sites
• Investigate client needs to build business requirements
• Given a scenario, create measurement framework

2: Solution design (54%)

• Translate business requirements into variables and metrics
• Demonstrate ability to manage report suites settings
• Given a scenario, recommend the best methods for collecting data
• Write technical specifications for tagging engineers
• Write technical specifications for site developers
• Create Experience Cloud users/groups

3: Post implementation (28%)

• Given a set of requirements, validate tracking through browser developer tools and Adobe reports
• Apply procedural concepts to manage data extraction and relationships
• Evaluate data privacy requirements to establish a data governance model
• Given a scenario, manage data sources and connectors
• Configure necessary segments and calculated metrics to answer business requirements

Conclusion:
This certification empowers professionals to architect and implement advanced Adobe Analytics solutions, driving impactful data-driven strategies in their organizations. By mastering these competencies, candidates can lead digital analytics initiatives and contribute significantly to optimizing marketing efforts. Achieving this certification demonstrates a commitment to excellence in the field of digital analytics architecture.

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