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Who should take the AD0-E202 exam

AD0-E202 exam has been designed for the following Target Audience:

  • Digital analysts
  • Conversion/optimization specialists
  • Business analysts
  • Business consultants
  • Web analysts
  • UI analysts
  • Product owners and managers
  • Data analysts
  • Digital marketers
  • Media/marketing analysts

There is a minimum skill set required before appearing for AD0-E202 exam:

  • Has a basic understanding of how digital analytics is filtering/structuring data
  • Has at least one year of Adobe Analytics hands-on experience
  • Has 2 years' experience in digital analytics, typically has a marketing background or comes from a marketing role but can come from a variety of job roles, possesses an in-depth understanding of digital analytics metrics and dimensions, understands the business value of web technologies, can translate business requirements into metrics or KPIs, build and interpret reports, communicate results and can propose a course of action based on analysis of reports
  • Has an awareness of the integration of Adobe Analytics with other Adobe solutions
  • Helps clients understand how to extract/pull the information they want, and which are contextually relevant (e.g. help them define their business questions)
  • Understands how the technology works and understands a client's implementation (e.g. where the data sits, how it can be collected, how it is tracked) from a functional standpoint

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What is the duration, language, and format of the AD0-E202 Exam

  • Passing score: 69%
  • Format: Multiple choices, multiple answers
  • Number of Questions: 69
  • language: English and Japanese
  • Length of Examination: 120 minutes

Reference: https://learning.adobe.com/content/dam/adls/certification/samples/en/AD0-E202-AnalyticsBusinessPractitioner-ExamGuide-v1.pdf

Adobe AD0-E202日本語 Exam Syllabus Topics:

SectionObjectives
Reporting and Analysis- Reporting tools
  • 1. Standard reports usage
    • 2. Custom reports and dashboards
      - Analysis Workspace usage
      • 1. Filtering and breakdowns
        • 2. Creating projects and visualizations
          Adobe Analytics Fundamentals- Adobe Analytics interface and navigation
          • 1. Workspace basics
            • 2. Reports and dashboards overview
              - Key concepts
              • 1. Conversion vs traffic metrics
                • 2. Metrics, dimensions, and segments
                  Data Collection and Implementation Basics- Tracking fundamentals
                  • 1. Page view and event tracking
                    • 2. Implementation concepts overview
                      Segmentation and Attribution- Attribution models
                      • 1. Attribution reporting basics
                        • 2. First touch vs last touch attribution
                          - Segments
                          • 1. Segment comparison
                            • 2. Building and applying segments

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