Epsilon Target BP Exam Prep
Epsilon Target BP Exam Prep Quiz
Welcome to the Epsilon Target BP Exam Prep Quiz! This engaging quiz is designed to test and enhance your understanding of Adobe Target concepts and practices. With a total of 18 thought-provoking questions, you will refine your knowledge and improve your skills in practical scenarios.
Key Features:
- Multiple choice questions that cover various aspects of Adobe Target
- Scenarios reflecting real-world applications
- Immediate scoring to track your performance
An A/B test is live since a week now. One of the stake holders mentioned that he is unable to see a particular experience and wants the BP to address the scenario. What is the quickest way for BP to verify if a particular experience is actually getting delivered?
Verify the Activity Preview page to validate if that particular experience is getting delivered.
Validate the experience delivery using a browser incognito mode.
Validate the reports to check if that particular experience has any data against it
Use Adobe Debugger VEC setting for quick validation of the experience.
What are the key parameters required/recommended to implement the order confirmation mbox on the confirmation page.
OrderId, orderTotal, productPurchaseId
OrderNumber, revenue, productId
PurchaseId, orderId, totalRevenue
Order, units, & revenue
| Visitors | Orders | ConvRate | Rev | AOV | RPV | Lift | P-Value | |
| Control | 38,052 | 533 | 1.40% | $500,376 | $939.27 | $13.15 | NA | NA |
| Var1 | 37,888 |
470
|
1.24% | $520,779 | $1,108.49 | $13.75 | -11.4% | 0.03 |
| Var2 | 38,098 | 396 | 1.04% | $575,066 | $1,451.38 | $15.09 | -25.7% | 0.16 |
| Var3 | 37,098 | 631 | 1.70% | $540,116 | $856.42 | $14.56 | 21.4% | 0.18 |
| Var4 | 38,090 | 724 | 1.90% | $490,921 | $678.34 | $12.89 | 35.7% | 0.04 |
Choose the right answer based on the results below results
Variant 1 is worst performing compared to control with 97% confidence.
Variant 4 is the best performing compared to control with 84% confidence
Variant 4 is best performing compared to control with 96% confidence
Variant 2 is the worst performing compared to control with 95% confidence
| Visitors | Orders | ConvRate | Rev | AOV | RPV | Lift | |
| Control | 38,052 | 500 | 1.40% | $500,376 | $1,000.75 | $13.15 | NA |
| Variant 1 | 38,090 | 650 | 1.90% | $490,921 | $755.26 | $12.89 | 30.0% |
Our client XYZ.com ran a campaign on website to improve their order conversion with 95% of the confidence. For the next year, client had estimated total # of orders 10,000. Based on the results of the existing test (Table below) they have decided to go ahead with winner. As a Target BP you are tasked to calculate the incremental number of orders for next year.
13,000
3,000
23,000
More information needed
You had configured a test with 4 variants for a retail website which is being running since last few days now. Stakeholders has accessed the results from the reporting console and found that Variant 3 has very low conversion. Stakeholders are worried as this is impacting the business metric. You had calculated that we need 30 K/variant to get the required confidence level. Currently all the variant have reached around 30% of the sample size and will take another few weeks to reach there. What recommendation as a Target consultant you will provide to your stakeholders?
We can reduce the allocation to the Variant 3
Variant 3 is the least performing so remove this experience from all users
Stop this test and create another test with learning from other variants into 1
Wait for the test to provide conclusive results
You have configured an AP activity on a website with a "Random Forest" algorithm selected. This test has been running for quite a few days. Ecommerce improvement is the key success criteria for this. One of the experiences is receiving maximum traffic and has very low conversion, stakeholder asked you look into the issue and fix that. What you will do in that situation?
You will change the configuration to stop traffic from that experience
You will let stakeholders know that Adobe Target is currently learning and let it run
You should exclude that experience from your experience so that it should not impact business metric
Automated personalization is being managed by Adobe consultant so let them know about this
You are currently running one MVT test where you have different offer combinations or discount which you would like to show to users at different paces on the page. You have configured and activated the campaign. One of your stakeholders saw one experience where users were seeing 2 contradicting offers. He raised this issue with your, what you will do or forget to do while configuring the test?
It is expected behaviour in an MVT test
You must have forgot to exclude the audience for that experience
You forgot to exclude the experience from 'preview section'
You forgot to exclude the experience within "Exclusion Group" section of test
Your client is very advance in testing cycle and have been running multiple tests/section which are receiving high traffic. He submitted a test request that to be configured for a section where 3 more tests are currently running. He wanted to show the newly configured test for only customers who have not been exposed to any other test. What you should do to show this new test for anybody who hasn't seen the previous test?
You will setup an experience targeting activity
You will create an audience with mBox call is not triggered
You will create an audience with "not in other test"
If it will be an AB test then it will automatically will be handled by the Adobe Target
Automated personlization activity is recommended only for the ecommerce websites as this is heavily dependent on conversion data.
True
False
Mr. John, an optimization practice lead had setup an A/B test 2 weeks back, which had an estimated test duration of three weeks. One of the experience reached confidence 95%+. Stakeholders approved to stop the test and analyze the results. The test showed a 10% increase in overall orders. The sample size was reached, which was set to prove up to a 20% difference in revenue per visitor (RPV) The following effects were observed
- 10% increase in order rate
- 3% increase in page views per visit
- 3% increase in average order size
- 10% increase in product views
A stakeholder asks the consultant to annualize the impact on overall revenue projected through the next year to present as program ROI. How should the optimization consultant proceed?
Inform the stakeholder that the projected revenue would increase by 10% as the order rate is directly proportional to revenue
Inform the stakeholder that the projected revenue would increase by 3% as the order size is directly proportional to revenue
Inform the stakeholder that the projected revenue cannot be determined as the test was designed to prove RPV
Inform the stakeholder that the test would need to run two times as long to prove difference in RPV
Below are the results from an A/B/C/D test, which was run for the duration of 3 weeks. BP is asked to interpret the results. Which of the statements is true based on the below result.
| Experience | Visitors | RPV | Revenue |
| Control | 25111 | $1.19 | $30000 |
| Exp B | 24416 | $1.64 | $40000 |
| Exp C | 24920 | $2.01 | $50000 |
| Exp D | 25323 | $2.37 | $60000 |
Control is better than Exp B with an RPV of 11.9 with 50% confidence
Exp. B is better than Exp. D with an RPV of 16.3 with greater than 60% confidence
Exp. D is better than control with an RPV of 23.7 with greater than 95% confidence
Control is better than Exp. C with RPV of 20.8 with 0.95 p-value
Mr. Adam is an optimization consultant for a leading financial institution, who had setup an A/B test two weeks back. The test has reached significance which was designed to prove up to a 10% difference in orders at 95% confidence. The sample size was 50,000 visitors per variation. Based on the below results, what should Adam recommend keeping the primary KPI in mind.
| Experience | Visitors | Orders | Order Rate | Lift | Confidence |
| Control | 23,075 | 846 | 3.67% | - | 66% |
| Experience B | 23,085 | 1000 | 4.33% | 18.3% | 96% |
Experience B is confidently better than Control. Use Experience B moving forward.
Continue to monitor change in lift until the lift observed is closer to estimated lift 10%.
Continue running the activity to set sample size because the results are inconclusive.
Divert 100% to experience B as the it is 96% confident of delivering 18.3% lift
Mr. Smith, an optimization consultant had setup an A/B auto-allocate test three weeks back, which was planned to be run for 2 weeks. Due to over estimation of traffic during the initial phase, an additional week was required to reach the test completion based on pre-defined significance and sample size. The test showed a 10% increase in RPV, which was set to prove up to a 20% difference in number of orders The following effects were observed:
- 10% increase in order rate
- 3% increase in page views per visit
- 20% increase in number of orders
- 3% increase in average order size
- 10% increase in product views
A stakeholder asks the consultant to annualize the impact on projected orders for year 2018, which is estimated to be 160000 . How should the consultant proceed?
Inform the stakeholder that the projected orders for 2018 would be $192,000
Inform the stakeholder that the projected incremental orders for 2018 would be $192,000
Inform the stakeholder that the projected orders cannot be determined as the increase in RPV is less than the estimated lift 20% for number of orders
Inform the stakeholder that the projected orders for 2018 would be $32,000
A/B Auto Allocate activity uses enhanced version of the alogirithm used by Automated Personalization activity type.
True
False
In which of the activity type, offer level targeting can be achieved?
MVT
Automated Personalization
A/B Test
Recommendations
While using Adobe Target Sample Size calculator, the optimization consultant derived that the expected traffic would be 10,000 visitors per experience per day. But when observed in the ongoing activity this wasn’t the case and the traffic numbers were 50% less than the expected numbers. What is the first activity that should be performed by the consultant?
Re-validate the input data & derive a new conversion rate using the sample size calculator
End the activity immediately to avoid any further incorrect reporting data
Create a duplicate test, make the required metric level changes based on new conversion rate derived & end the previous activity.
Re-validate the activity setup, metrics & ensure that data is getting into reports
"Recently viewed content", "Recently watched videos", "Most viewed Items across the site" & "Top selling products from across the site" represent an example of which of the following?
Recommendations Designs
Automated Personilization
Recommendations Criteria
Search & Promote
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