Facebook Blueprint 200-101 Free Sample Exam Questions 2026

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Page: 1 / 12
Total Questions: 60

Questions & Answers PDF

• Question 1

  

  A charity organization is in the process of allocating advertising budget to cross-publisher video campaigns. In order to assess which platform is generating the highest return or aci spend, it reviews results in Facebook Attribution, using an even-credit model for cross-publisher campaigns arc the data-driven attribution model for its Facebook campaigns.In addition to this, the charity ran a multi-cell Brand Lift test to test different creative messaging with a custom audience based on website visitors who did NOT sign up to donate or receive regular emails.Which two KPIs should be used to provide meaningful insights? (Choose 2)

  • Value of donations attributed to each campaign
  • Average video-view duration for each campaign
  • Average reach per campaign
  • Number of sign-ups attributed to each campaign
  • Number of impressions attributed to each campaign

  Reveal Answer Answer: A,E Next Question

• Question 2

  

  An ecommerce brand decides to run a Facebook campaign, targeting men, to sell its recently released product. The company plans to run a single-cell Conversion Lift test to understand whether that campaign can achieve significant sales lift.The Facebook pixel is correctly integrated on its website. It also recently released a mobile app with exclusive offers only available when a customer orders through the app. In the past, it has had a narrower target of men, ages 18-44, and it plans to use the same media weight that it has used in previous campaigns.What is a potential issue that may affect the measurement of this campaign?

  • Using a single-cell Conversion Lift test will not accurately capture sales lift
  • Using the same media weight on narrower targets will decrease the conversion rates
  • Using the Facebook pixel will not track orders on the mobile app
  • Using exclusive offers will introduce bias

  Reveal Answer Answer: A Next Question

• Question 3

  

  An advertiser wants to know whether campaign strategy A had significantly different performance than campaign strategy B in terms of additional sales. The campaigns both ran at the same time against mutually exclusive portions of the advertiser's customer base.What is the null hypothesis of the test design?

  • Sales Lift A = 0, Sales Lift B < 0
  • Sales Lift A = Sales Lift B
  • Sales Lift A >= Sales Lift B
  • Sales Lift A > 0, Sales Lift B = 0

  Reveal Answer Answer: C Next Question

• Question 4

  

  An analyst calculates data averages (norms) of more than 2,500 brand lift tests in the industry, then compares it to recent campaign results:Campaign delivered Ad recall lift +8.3pt (the norm Ad Recall is 9.Opt with a standard deviation of 0.6pt)Campaign delivered Message Association +7.1pt (the norm for Message Association is 7.8pt with a standard deviation of 0.8pt)Campaign delivered Favorability +6.3pt (the norm for Favorability is 4.Opt with a standard deviation of 1.1pt)Campaign delivered Purchase Intent +5.9pt (the norm for Purchase Intent is 5.3pt with a standard deviation of 0.5pt)Which conclusion should the analyst make based on this data?

  • Campaign ad recall is significantly worse than the norm above 95% confidence
  • Campaign purchase intent is significantly better than the norm above 95% confidence
  • Campaign favorability is significantly better than the norm above 95% confidence
  • Campaign message association is significantly worse than the norm above 95% confidence

  Reveal Answer Answer: B Next Question

• Question 5

  

  A longitudinal data set is missing values.Which approach should be used to minimize bias in a forecast considering it is a small sample?

  • Linear interpolation
  • Pairwise deletion
  • Winsorization
  • Dropping variables with missing values

  Reveal Answer Answer: A Next Question

• Question 6

  

  A CPG advertiser wants to determine how much ROI is provided by Facebook compared to other channels, like TV and online publishers. The advertiser runs a digita deep dive marketing mix modeling.Refer to information from the test:

  • Using the charts, what should an analyst recommend regarding Facebook?
  • Keep media execution on Facebook between the minimum and max marginal threshold
  • Maintain media execution on Facebook as usual
  • Increase media execution on Facebook above the max ROI threshold

  Reveal Answer Answer: B Next Question

• Question 7

  

  A spa wants to increase awareness of its package holiday deals internationally. It has been investing heavily in influencer marketing and social media campaigns. Its most popular influencer recently posted a video about the retreat that received 500,000 likes in the first day. The spa gained more than 3,000 new followers on its Instagram account.Given the outcome of this organic post, the spa decides to pull their paid social media campaigns because this spend generates only a quarter of the engagement compared to influencer posts.What advice should the analyst share about measuring success in this way?

  • It is always better to diversify spend equally across multiple marketing strategies.
  • The spa should review the number of new followers at least one month later before pulling spend from paid campaigns.
  • The spa should review the number of shares that the original post achieved before pulling spend from paid campaigns.
  • Engagement metrics such as likes, comments and followers may not translate into incremental business value such as brand equity or sales.

  Reveal Answer Answer: D Next Question

• Question 8

  

  An analyst wants to measure a campaign that is delivering across Facebook and Paid Search. The client wants to understand the causal sales impact of each channel. Which methodology should the analyst use?

  • A/B test
  • Randomized control trial
  • Attribution
  • Marketing mix model

  Reveal Answer Answer: B Next Question

• Question 9

  

  An analyst has calculated an average lift from a random sample of 300 similarly sized campaigns. The analysis showed the following:Minimum lift is 98Maximum lift is 17795% confidence interval for the average lift per campaign is (133, 145)Average p-value for each individual campaign's lift is p = 0.03 What should the analyst conclude about the distribution of lifts?

  • There is 95% certainty that next campaign will have lift covered by the interval of (133, 145)
  • 95% of the 300 campaigns had observed lift covered by the interval of (133, 145)
  • There is 95% certainty that the true average lift of all campaigns is covered by the interval of (133, 145)
  • There is 99% certainty that next campaign will have lift covered by the interval of (98, 177)

  Reveal Answer Answer: B Next Question

• Question 10

  

  A travel company wants to know if it gets additional conversions by relying only on its direct response strategies, as opposed to combining each strategy with branding campaigns. The company continuously keeps track of each strategy's performance, but it measures them separately. Also, each strategy's measurement has its own KPI. These are the latest results:Branding campaigns:A benchmark of 35 Brand Lift tests, SI.70 USD per additional ad recallerAn average of 125 conversions per campaignDirect response campaigns:; A benchmark of 20 Lift tests, $2.50 USD per Conversion Lift - An average of 370 conversions per campaignWhat should the company do to test if it gets more incremental conversions from relying only on direct response strategies?

  • Set up an A/B test comparing both strategies
  • Review last-touch attribution model
  • Run both strategies at the same time and compare the conversions
  • Build a test based on a multi-cell experimental design

  Reveal Answer Answer: C Next Question

Page: 1 / 12
Total Questions: 60

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