AD0-E406 Adobe Target Business Practitioner Expert Practice Questions
Prepare for AD0-E406 with more than an answer.
- Exam fee
- $225 USD
- Level
- Expert
- Valid for
- 2 years
Domains covered on the exam 4
- Planning and Strategy31%
- Configuring, Executing and Managing42%
- Analyzing and Reporting17%
- Troubleshooting10%
- 1
True or False: In statistical testing for optimization, the 'null hypothesis' posits that the newly introduced treatment (challenger experience) will have a significant positive impact on the primary success metric compared to the control experience.
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Correct answer: B
False. The null hypothesis always posits that there is NO relationship or NO significant difference between the control and the treatment. The goal of an A/B test is to reject the null hypothesis in favor of the alternative hypothesis, which states that a statistically significant difference does exist.
- 2
When utilizing the Adobe Target Sample Size Calculator, the _________ represents the smallest relative change in conversion rate that the business is interested in detecting as statistically significant.
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Correct answer: C
The Minimum Detectable Effect (MDE) is the smallest lift (or drop) in conversion rate that the test is designed to detect. Setting a smaller MDE requires a substantially larger sample size, as it is mathematically harder to confidently detect minor fluctuations than massive shifts.
- 3
A subscription-based streaming service has identified 'User Engagement' as their primary business KPI for the current quarter. They want to launch an optimization campaign on their content discovery page. Which Adobe Target metric best translates this business KPI into a measurable optimization goal?
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Correct answer: B
Time on Site is a direct engagement metric available in Adobe Target that accurately reflects the business KPI of 'User Engagement'. While RPV is a valuable metric, it measures financial performance rather than active engagement. Conversion Rate measures specific actions rather than continuous interaction. Pageviews measure volume but not necessarily the quality or duration of engagement.
- 4
A digital marketing team is planning an A/B/n test with 5 distinct challenger experiences against a control. When utilizing the Adobe Target Sample Size Calculator to estimate the required traffic, how should the practitioner adjust the parameters to account for the multiple variations?
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Correct answer: A
When testing multiple variations against a control, the probability of encountering a false positive (Type I error) increases. The Bonferroni correction accounts for this by adjusting the required confidence level (and consequently increasing the required sample size). Failing to apply this correction when running multi-offer tests leads to unreliable statistical significance.
flowchart LR A[Multiple Offers] --> B{Increased False Positive Risk} B --> C[Apply Bonferroni Correction] C --> D[Higher Confidence Threshold] D --> E[Larger Sample Size Required]
