AD0-E406 Sample Questions & Answers
Setting up experience composers, activities and audiences to run takes up the largest share, ahead of planning tests around business goals and hypotheses, judging results, and sorting out why an activity didn't qualify or its metrics look off.
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- Question 1Advanced
Planning and Strategy · Test Prioritization and Sample Size Calculation
Background:
OmniTech Solutions is a B2B SaaS company offering enterprise cloud storage. Their marketing team has identified a major drop-off point on their pricing page. Currently, the pricing page converts at 2.5% to the 'Request Demo' stage.Current Situation:
The team has brainstormed three potential test ideas to improve this metric:- Completely redesigning the pricing tier structure (Requires 3 weeks of dev time, high potential impact).
- Changing the 'Request Demo' button color from blue to green (Requires 10 minutes of dev time, low potential impact).
- Adding customer testimonial logos just below the pricing tiers (Requires 2 hours of dev time, moderate-to-high potential impact).
Requirements & Constraints:
The business needs to demonstrate a quick win within the next 14 days to secure budget for a larger optimization program next quarter. Traffic to the pricing page is moderate (approx. 15,000 visitors/week).Using the PIE (Potential, Importance, Ease) prioritization framework, which test idea should the practitioner recommend executing first, and which Adobe Target activity type is most appropriate?
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Correct answer: C
Using the PIE framework, Idea 3 offers the best balance. It has moderate-to-high Potential and Importance, and high Ease (only 2 hours of dev time). This allows for a quick win within the 14-day constraint. Idea 1 has low Ease (3 weeks dev time) and violates the time constraint. Idea 2 has high Ease but low Potential, making it less likely to secure the budget. An A/B test is the optimal activity type for simply adding a new element to validate its impact against a control.
- Question 2IntermediateSelect 2
Planning and Strategy · Hypothesis Construction and Validation
A practitioner is reviewing a set of proposed hypotheses from a junior marketing team. Which of the following are essential elements of a strongly constructed, valid test hypothesis? (Select TWO)
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Correct answers: A, C
A valid hypothesis must clearly identify the independent variable (the specific change or treatment being introduced) and the dependent variable (the measurable outcome or metric). Defining the independent variable ensures the test is actionable, and defining the dependent variable ensures it is measurable. Guarantees of statistical significance or reliance on vanity metrics weaken a hypothesis.
A valid hypothesis must clearly identify the independent variable (the specific change or treatment being introduced) and the dependent variable (the measurable outcome or metric). Defining the independent variable ensures the test is actionable, and defining the dependent variable ensures it is measurable. Guarantees of statistical significance or reliance on vanity metrics weaken a hypothesis.
- Question 3Beginner
Planning and Strategy · Success Metrics, Audience Assessment, and Reporting Source Selection
A retail organization wants to run an A/B test on their homepage. They require deep post-test analysis using historical visitor segments that their data science team has already built and maintained over the past two years. Which reporting source must be selected during activity configuration to fulfill this requirement?
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Correct answer: B
Adobe Analytics for Target (A4T) allows practitioners to use Adobe Analytics as the reporting source for Target activities. This is essential when deep post-test analysis is required using existing, historical Analytics segments, calculated metrics, or complex funnel visualizations that are not available in Target's native reporting engine.
- Question 4Intermediate
Planning and Strategy · Success Metrics, Audience Assessment, and Reporting Source Selection
During the setup of a multi-step checkout funnel optimization test, the business stakeholder states that the ultimate goal is to increase overall completed purchases. However, the specific test is only modifying the layout of 'Step 1: Shipping Information'. How should the primary and secondary success metrics be configured?
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Correct answer: A
The primary metric should always align with the ultimate business objective of the test, which in this case is 'Completed Purchases'. The secondary metric provides diagnostic context; tracking 'Progression to Step 2' allows the team to understand if the layout change successfully pushed users through the immediate bottleneck, even if downstream issues prevented final conversion.
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