Adobe Audience Manager - Architect Master Certification

Exam details	Level: Master (3-5 years’ experience) Passing Score: 29/50 Time: 100 mins Delivery: Online proctored (requires camera access) Available languages: English Cost: $225 (global) / $150 (India) Exam ID: AD0-E454
Intended audience	Audience Manager Consultant Multi-solution Architect Adobe Practice Lead Enterprise Architect Martech Architect Technical Product Owner Digital Marketing Specialist Technical Architect Technical Consultant Marketing Technologist
Minimum experience	You should have at least 3 years of experience with data collection methods, data management platforms, and digital marketing technology stacks across Adobe and non-Adobe marketing platforms. You understand clients’ unique technical and business requirements and develop customized solutions. Additionally, you should be able to complete the following tasks: Analyze business requirements to understand existing data and the additional data that is required Design and develop specific implementations to meet customer requirements Implement Adobe Audience Manager using different methodologies Create segments Activate audience segments across different Adobe and non-Adobe cloud solutions Generate and analyze different reports within Audience Manager Understand data collection strategies
Exam objectives and scope	This section provides information on the exam content. Section 1: Implementation analysis (26%) Determine how to guide and support implementation of AAM as a stand-alone product or as part of a cloud solution Analyze outbound destination options and recommend an AAM implementation approach Determine a data onboarding strategy for a business use case Identify features such as visitor profile viewer, tags, RBAC, and so on, to align with business goals Determine how to design and test pixels required to create segments and traits Section 2: Solution design and recommendations (18%) Determine AAM capabilities based on customer use case for audience and activation Apply procedural concepts to utilize audience identity solutions to complement design architecture Identify attribute and behavioral data and map it to specific business use cases Apply procedural concepts to design folder taxonomy and naming convention Section 3: Segmentation and activation (30%) Apply procedural concepts to create destinations in Audience Manager Identify signals to create Rule-Based, Onboarded, and Algorithmic Traits Apply procedural concepts to create segments using frequency/recency Determine how to create segments using profile merge rules Apply procedural concepts to create an algorithmic or predictive model Determine segmentation logic based on use cases Section 4: Privacy and data governance (8%) Recommend Audience Manager capabilities as it relates to governance, privacy, and security Identify customer data policies that are in line with government regulations Section 5: Performance and reporting (18%) Determine how to configure reports in AAM to gather signal, traits, and segment performance per business requirements