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AD0-E209 practice exam and study guide

Adobe Analytics Developer Expert

Timed practice tests for AD0-E209 on the real exam's time limit and blueprint. Every question is original and every option is explained. Your score is broken down by the sections Adobe publishes, so you see what to study next. The question bank holds hundreds of practice questions.

Exam facts

  • Passing score: 31/50 [1]
  • Time limit: 120 minutes [1]
  • Level: Expert [1]
  • Exam fee: $225 (global) and $150 (India) [1]
  • Exam languages (real exam): English, Japanese [1]
  • Delivery: Online proctored (requires camera access) [1]

Tokens: 1 for $4.99, 5 for $14.99, 10 for $24.99 or 25 for $49.99. One token runs a full timed AD0-E209 practice exam, and every shorter session on that exam is then free. The Unlimited pass is $149.99 for a year of every practice session on every exam.

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Exam sections and weights

Adobe publishes these sections and objectives for AD0-E209, quoted here as Adobe words them. [1]

Section 1: Understanding Analytics in the Adobe Experience Cloud Ecosystem, 10% of the exam

  • "Demonstrate knowledge on utilizing the Adobe Experience Cloud ID"
  • "Demonstrate understanding of Adobe Launch"
  • "Demonstrate understanding of common integrations across the Adobe Experience Cloud Ecosystem"

Section 2: Strategy and design based on a solution design reference (SDR), 6% of the exam

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

Section 3: Analytics Implementation and Configuration, 36% of the exam

  • "Determine which environment to deploy Adobe Analytics Code"
  • "Execute a minimal deployment code for Analytics tracking"
  • "Configure various components within Adobe Analytics UI"
  • "Configure Adobe Analytics report suite and variable settings"
  • "Utilize a data layer within a deployment"
  • "Execute advanced tracking features such as link tracking and product strings"

Section 4: Tag management systems, 20% of the exam

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

Section 5: Mobile services, 8% of the exam

  • "Apply processes to configure and execute a base pre-deployment code for mobile"
  • "Demonstrate understanding of processing rules and mobile services"

Section 6: Testing, validation, and troubleshooting, 20% of the exam

  • "Troubleshoot JavaScript errors"
  • "Troubleshoot Adobe Analytics variables"
  • "Recommend testing and debugging best practices"
  • "Troubleshoot an Adobe Analytics server call across its lifecycle (that is, from beacon request to showing up in the report)"

Sample questions

Three questions from the AD0-E209 practice bank, with the answer and why each option is right or wrong.

Question 1

A regional bank adds the Adobe Visitor ID Service to an Adobe Analytics implementation that ran for years without it. Many returning visitors carry only the `s_fid` fallback cookie, and new visitors rise after launch. What explains the rise?

  • A. Visitors with only `s_fid` get a new ECID, because the service does not copy the fallback ID.
  • B. Visitors with only `s_vi` get a new ECID, because the service does not copy the legacy ID.
  • C. Visitors with only `s_fid` get a new ECID, because the service waits for a grace period to copy it.

Answer: A. When the Visitor ID Service meets an existing Adobe Analytics visitor, the outcome depends on the cookie the visitor carries. An `s_vi` value is copied into the `AMCV` cookie and, because `aid` ranks above `mid`, keeps identifying the visitor. A visitor with only the `s_fid` fallback cookie gets a fresh ECID and counts as new. Plan for a rise in new visitors in proportion to the share of fallback visitors. [2]

  • A. Right. Adobe's migration page says the service does not write the fallback ID (`fid`) to the `AMCV` cookie. Those visitors receive an ECID (`mid`) as if they were new, so they count as new unique visitors.
  • B. Wrong. An existing `s_vi` value is the legacy Analytics ID (`aid`). Adobe says the service writes it to the `AMCV` cookie beside an ECID, and `aid` stays the identifier until that cookie expires or is cleared.
  • C. Wrong. Adobe ties no grace period to copying a fallback ID. The service never writes `fid` to the `AMCV` cookie, with or without one.

Question 2

An Adobe Analytics SDR defines eVar9 as a counter eVar that adds +1 on each internal search. A buyer searches four times, then places an order. Which eVar9 item gets credit for the order?

  • A. Each item from 1.00 to 4.00, one order apiece
  • B. Only the 1.00 item, the total from the first search
  • C. Only the 4.00 item, the total when the order happens

Answer: C. A counter eVar holds a running number in place of text. Each increment shows as an instance of the new total, and the value active when the success event happens takes the credit. Read Orders by a counter eVar as orders by the number of actions taken before the order. [3]

  • A. Wrong. Each search creates an instance of its running total, but Adobe says only the final count receives credit for Orders and Revenue.
  • B. Wrong. The first total is replaced as the visitor keeps searching. Adobe gives the credit to the total active at the purchase, 4.00.
  • C. Right. Adobe's example says that if a visitor searches four times before a purchase, you see an instance for each total count, 1.00, 2.00, 3.00 and 4.00, but only 4.00 receives credit for the purchase event.

Question 3

An organization reports Adobe Target activities in Adobe Analytics through Analytics for Target (A4T) and plans to move from AppMeasurement to the Adobe Experience Platform Web SDK extension. How will A4T calls reach Adobe Analytics after the move?

  • A. A4T calls are sent as `a.x.*` context data variables.
  • B. A4T calls are sent as separate hits.
  • C. A4T calls are included in the Adobe Analytics hits.

Answer: B. Adobe's comparison of implementation methods sets AppMeasurement, the Adobe Analytics extension, the Web SDK and the Web SDK extension side by side. One row covers A4T. With AppMeasurement and the Adobe Analytics extension, A4T calls are included in the hits sent to Adobe. With either Web SDK method, A4T calls are sent as separate hits. A team planning a move should expect that change in how its A4T data arrives. [4]

  • A. Wrong. In the comparison, `a.x.*` context data variables carry unmapped fields for the Web SDK methods. A4T handling has its own row, and it reads as separate hits.
  • B. Right. Adobe's comparison of implementation methods has a row for A4T handling. For the Web SDK and the Web SDK extension, it reads that A4T calls are sent as separate hits.
  • C. Wrong. The comparison gives this handling to AppMeasurement and the Adobe Analytics extension. Both Web SDK methods send A4T calls as separate hits.

Practice for AD0-E209 on ExamSens.ai

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References

[1] https://certification.adobe.com/certification/developer-expert/171

[2] https://experienceleague.adobe.com/en/docs/analytics/implementation/id/migration

[3] https://experienceleague.adobe.com/en/docs/analytics/admin/admin-tools/manage-report-suites/edit-report-suite/conversion-variables/conversion-var-admin

[4] https://experienceleague.adobe.com/en/docs/analytics/implementation/prepare/comparison

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