• Exam Code: AD0-E201
  • Exam Name: Adobe Analytics Developer (AD0-E201日本語版)
  • Certification Provider: Adobe
  • Corresponding Certification:Adobe Analytics
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ADO-E201 Exam topics

Candidates must know the exam topics before they start of preparation. Our Adobe ADO-E201 exam dumps will include the following topics:

1: Understanding Analytics in the Adobe Experience Cloud Eco-system 5%

  • Demonstrate understanding of common integrations across the Adobe Experience Cloud Eco-system
  • Demonstrate knowledge on utilizing the Adobe Experience Cloud ID
  • Demonstrate understanding of triggers and activation

2: Analytics Strategy and Design based on a Solution Design Reference 10%

  • Interpret a Solution Design Reference to develop efficient code for data capture
  • Use the Tech Spec for populating data objects

3: Analytics implementation and configuration 30%

  • Apply the process to configure Adobe Analytics non-report suite settings
  • Apply the process to utilize the data layer within a deployment
  • Determine which environment to deploy Adobe Analytics Code
  • Utilize the variables required for a base code Analytics configuration
  • Apply the process to configure Adobe Analytics report suite and variable settings

4: Tag Management Systems 25%

  • Enumerate requirements to deploy Adobe Experience Platform Launch in Adobe Analytics
  • Enumerate requirements to enable extensions and Adobe Launch
  • Apply processes to configure website tagging with Adobe Launch

5: Mobile Services 13%

  • Demonstrate understanding of data dictionaries and configure processing rules for mobile
  • Apply processes to configure and execute a base predeployment code for mobile

6: Troubleshooting, testing and validating 17%

  • Recommend testing and debugging best practices for a given scenario
  • Troubleshoot an Adobe Analytics server call across its lifecycle
  • Troubleshoot Adobe Analytics variables
  • Troubleshoot JavaScript errors

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How to book the ADO-E201 Exam

There are the following steps for registering the Adobe ADO-E201 exam:

  • Step 1: Visit Adobe's credential management system logon page. The logon requires that you have an Adobe ID. If you do not have an Adobe ID, click the link for “Get an Adobe ID”.
  • Step 2: After logging on, if you have never taken an Adobe exam before, you will be instructed to create a Profile. After creating your profile, you will be instructed to update your opt-in Settings.
  • Step 3: Once logged on, click “Home” then click “Schedule your exam at PSI.”
  • Step 4: You will be directed to a new page within CertMetrics where you will click “Click here to log in to PSI".
  • Step 5: You will be taken to a page hosted by our exam delivery vendor, PSI, that displays the available exams.
  • Step 6: Scroll through the list of available exams and press the “Schedule Exam” button for the exam you want to take.
  • Step 7: Select a delivery mode for your exam by choosing either “Test Center” or “Remote Online Proctored Exam.”
  • Step 8: Select your exam language to see options for your exam.
  • Step 9: Select an available date and start time.
  • Step 10: Confirm schedule details to receive a booking confirmation.
  • Step 11: Proceed to payment.
  • Step 12: After payment is successful, you will receive an email confirmation with registration details and a receipt.

Reference: https://spark.adobe.com/page/zlUwlhwA2cVAh/

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Adobe AD0-E201日本語 Exam Syllabus Topics:

SectionObjectives
Troubleshooting and Validation- Debugging implementations
  • 1. Network request validation
    • 2. Adobe debugger tools
      Adobe Analytics Implementation- Data Collection Fundamentals
      • 1. Adobe Analytics tracking methods
        • 2. Image requests and beacon structure
          - Tag Management
          • 1. Extensions and rules configuration
            • 2. Adobe Experience Platform Tags (Launch) setup
              Reporting and Analysis- Workspace and reporting tools
              • 1. Analysis Workspace usage
                • 2. Report Suite configuration
                  - Segmentation and attribution
                  • 1. Attribution models
                    • 2. Segment creation and application
                      Implementation Variables and Configuration- eVars, props, and events
                      • 1. Event serialization and attribution
                        • 2. Variable configuration and persistence
                          - Processing Rules
                          • 1. Rule-based data transformation
                            • 2. Data layer mapping

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