AD0-E207 Exam Dumps Replacement of AD0-E200 - Adobe Analytics Architect Master
November 09,2020
AD0-E207 Adobe Analytics Architect Master Exam is the new exam replacement of retired AD0-E200 exam. If you want to pass your Adobe Certified Master - Analytics Architect AD0-E207 exam, Passcert professional provides Adobe AD0-E207 Exam Dumps as the same as real exam, it covers the real exam topics to ensure you pass AD0-E207 exam successfully. We guarantee that using our Adobe AD0-E207 Exam Dumps will adequately prepare you for your AD0-E207 exam and set you up to pass your Adobe Analytics Architect Master AD0-E207 exam the First Time.
Who Can Take AD0-E207 Adobe Analytics Architect Master Exam?
At a minimum, the candidate seeking to become certified as an Analytics Architect has 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. The candidate is responsible for translating business requirements into tracking specifications and Adobe Analytics variables.
Exam Information
Exam number: AD0-E207
Exam name: Adobe Certified Master - Analytics Architect
Certificate level: Certified Master
Status: Active
Available languages: English
Number of questions: 50
Formats: Multiple choice and multiple select
Duration: 100 minutes
Delivery: Online proctored (requires camera access) or test center proctored
Passing mark: 66%
Price: $180 USD
Exam Objectives and Scope
Section 1: Discovery (18%)
Demonstrate ability to audit sites
Investigate client needs to build business requirements
Given a scenario, create measurement framework
Section 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
Section 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
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