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A safe, virus-free test system is table stakes. TestKingFree's Facebook Certified Marketing Science Professional engine builds a clean study environment around 60 practice questions — interactive, adjustable, current for 2026.
Facebook 200-101 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Marketing Analytics | - Campaign performance analysis - Reporting and visualization - Audience insights and segmentation |
| Measurement Foundations | - Attribution concepts - Core metrics and KPIs - Data collection principles |
| Advanced Marketing Science Concepts | - Cross-channel measurement strategies - Marketing Mix Modeling (MMM) - Privacy-safe measurement approaches |
| Experimentation and Lift Measurement | - A/B testing principles - Conversion lift studies - Incrementality measurement |
| Data Integration and Signal Quality | - Data governance and signal loss mitigation - Meta Pixel and Conversions API |
200-101 FAQ: Cost, Content, and Conditions
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No strict prerequisites, but familiarity with Meta advertising products and marketing analytics is recommended. Eligibility rules change from time to time, so confirm the current requirements on the official page before booking.
The Facebook Certified Marketing Science Professional blueprint spans 5 domains — including Measurement Foundations, Marketing Analytics, Experimentation and Lift Measurement. The weightings are your study map: allocate hours where the points are. Every subtopic appears in the outline above.
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The Facebook Certified Marketing Science Professional is Facebook's certification exam for Facebook Certified Marketing Science Professional, at the Professional level. Passing it demonstrates proficiency with specific technologies — a credential employers from small business to enterprise recognize. Related credentials include Meta Certified Media Planning Professional, Meta Certified Media Buying Professional.
Facebook Certified Marketing Science Professional Sample Questions:
An analyst is interested on comparing two audiences: men, ages 25-34 and men, ages 35-44. The brand wants to know if the older male customers spend more money on average than the younger male customers. The analyst collected random samples of 250 older customers and 220 younger customers and analyzed their shopping baskets. On average, younger men spend $102.23, and older men spend $86.46. Additional statistics are shown below.
Which conclusion should the analyst make based on this data?
- A. Using a 10% level of confidence, there is sufficient evidence for the analyst to conclude that younger customers on average spend more than older male customers.
- B. Using a 90% level of confidence, there is sufficient evidence for the analyst to conclude that younger customers on average spend more than older male customers.
- C. Using a 90% level of confidence, there is insufficient evidence for the analyst to conclude that there is any difference between younger and older customers.
- D. Using a 10% level of confidence, there is insufficient evidence for the analyst to conclude that there is any difference between younger and older customers.
Correct Answer: C 🗳️
An ecommerce brand is interested in understanding which approach delivers the highest ROAS. The advertiser is leveraging two distinct ad sets.
Ad Set A:
Budget: $100,000 Audience: Men, ages 45+ Creative: Product Focused
Ad Set B:
Budget: $120,000 Audience: Men, ages 18-44 Creative: Product Focused
Which two approaches could be recommended to analyze these campaigns? (Choose 2)
- A. Panel-based survey
- B. A/B testing
- C. Segmentation analysis
- D. Randomized control trials
Correct Answer: B 🗳️
An analyst has calculated an average lift from a random sample of 300 similarly sized campaigns. The analysis showed the following:
* Minimum lift is 98
* Maximum lift is 177
* 95% 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?
- A. There is 95% certainty that next campaign will have lift covered by the interval of (133, 145)
- B. 95% of the 300 campaigns had observed lift covered by the interval of (133, 145)
- C. There is 95% certainty that the true average lift of all campaigns is covered by the interval of (133, 145)
- D. There is 99% certainty that next campaign will have lift covered by the interval of (98, 177)
Correct Answer: B 🗳️
An advertiser is reviewing campaign results in Facebook Attribution and determines that optimizing its campaigns for website content views appears to be more successful than optimizing for clicks.
Details reviewed were as follows:
* A last touch attribution model was used
* Look back window was 90 days
* Campaigns optimized for clicks delivered a cost per view for SO.55
* Campaigns optimized for website content views yielded a cost per view of S0.49
The advertiser wants to assess whether or not this difference is meaningful or due to random chance before adjusting its strategy accordingly. What action could the analyst take to determine if the difference is meaningful?
- A. Run data-driven attribution
- B. Run a multi-cell Conversion Lift test
- C. Run a single linear regression analysis
- D. Run a single-cell Conversion Lift test
Correct Answer: B 🗳️
A beverage brand plans to launch a World Cup campaign to generate awareness across digital, TV and print. It recently ran a marketing mix model to determine the performance of this campaign. The analysis proved that the campaign resulted in a lift in sales. Due to the high cost of World Cup ads, the ROI was $0.15, which is below their historical norms for campaigns.
How should the analysis help contextualize the results?
- A. Advertised across too many channels
- B. Awareness campaigns are not designed to drive conversions
- C. Based on viewership of the World Cup, CPMs are particularly high
- D. The campaign was contaminated by TV advertising
Correct Answer: A 🗳️
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