Exam Name: Facebook Certified Marketing Science Professional
Certification Provider: Facebook
Corresponding Certification: Marketing Science Professional
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Instant Download Facebook : 200-101
Check Updated on: Oct 13, 2026
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- Total Questions: 60
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Facebook 200-101 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Marketing Analytics | - Campaign performance analysis - Audience insights and segmentation - Reporting and visualization |
| Experimentation and Lift Measurement | - Conversion lift studies - Incrementality measurement - A/B testing principles |
| Data Integration and Signal Quality | - Meta Pixel and Conversions API - Data governance and signal loss mitigation |
| Advanced Marketing Science Concepts | - Cross-channel measurement strategies - Marketing Mix Modeling (MMM) - Privacy-safe measurement approaches |
| Measurement Foundations | - Attribution concepts - Data collection principles - Core metrics and KPIs |
Before You Book the 200-101 Exam: Read These
Facebook recommends these official training resources:
Pair whichever course fits your background with regular engine-based practice for the fullest preparation.
Reliability here is built, not claimed. The 200-101 bank is written by a team of IT experts and certified trainers with a wealth of knowledge in the Facebook Certified Marketing Science Professional field, and we constantly keep it updated. The online test engine is the signature service: it fits the atmosphere of the actual test in advance, supports Windows, Mac, Android, and iOS, carries no installation limits, and lets you practice anytime, anywhere — perfectly suited to IT workers. Download the free sample first to learn about the product, and know that after purchase you may request the latest version at any time on top of 365 days of automatic updates.
The Facebook Certified Marketing Science Professional blueprint covers these core domains:
- Marketing Analytics
- Experimentation and Lift Measurement
- Advanced Marketing Science Concepts
Further domains complete the official outline; the bank addresses every one.
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Facebook states the following prerequisites for the Facebook Certified Marketing Science Professional: No strict prerequisites, but familiarity with Meta advertising products and marketing analytics is recommended..
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Facebook Certified Marketing Science Professional Sample Questions:
A retail brand needs to increase purchases. The brand has video content that was designed for a cross-screen experience on TV and Facebook. The brand launches its campaign in 30-second and 60-second TV spots and then launches 6- and 15-second mobile-friendly videos with captions. The brand runs a Facebook multi-cell Conversion Lift test to compare the effectiveness of the two mobile videos:
* Cell A: 50% of campaign budget, optimized for purchase event, 6-second video
* Cell B: 50% of campaign budget, optimized for purchase event, 15-second video
At the end of the campaign, Cell A yields a 4-point lift with a p-value = 0.4. Cell B yields a 2.6-point lift with a p-value = 0.05
Which recommendation should be made to increase future purchases?
- A. Allocate more campaign budget toward the 15-second video
- B. Change the campaign objective to Video Views
- C. Allocate more campaign budget toward the 6-second video
- D. Change the campaign objective to Catalog Sales
Correct Answer: B 🗳️
An analyst working for a financial services company is reviewing Facebook campaign results to assess how many new credit card signups can be attributed to its Facebook campaign. The analyst is comparing attributed results in Facebook Ads Manager with those in Google Analytics and needs to explain why these are different.
What are two key differences between the platforms that can provide a reasonable explanation for this outcome? (Choose 2)
- A. Different platforms tend to attribute more conversions to its own platforms
- B. Google data includes impressions, conversions and clicks
- C. Different platforms have access to different data
- D. Different platforms may be using different attribution models
- E. Facebook data includes visits, conversions and clicks
Correct Answer: A,D 🗳️
A newly launched costume brand advertising heavily on Google search has recently allocated 5% of its budget to Facebook ads. Its costumes sell for S45 or less. The brand ran an account level Conversion Lift to measure the proportion of sales generated by Facebook.
To reduce negative business impact, it chooses to run the test during its off-peak season. The test ran for two weeks, with a campaign budget of S5,000. From the internal sales data, it sees that a total of 70 purchases were made during the test period.
The results:
* Lift in view content: 27%
* Lift in add to cart: 15%
* Lift in purchases: Flat / No results available
* Cost per incremental add to cart: S56
What two conclusions could the advertiser draw based on the results? (Choose 2)
- A. There were insufficient purchases during the test period to measure lift
- B. Based on lift in add to cart events, the test reveals positive ROAS
- C. Media share for Facebook was sufficient to measure lift in sales
- D. There was insufficient statistical power to measure lift in purchases
Correct Answer: B 🗳️
A brand plans to run a one-month multi-cell Conversion Lift test on Facebook. The cells are designed to help the brand understand experimentally whether its current creative strategy works for different business goals. The different targets are as follows:
* Prospective audience
* Retargeting audience
What should the analyst recommend pursuing after the test?
- A. Continue with the creative strategy for all cells with positive statistically significant conversion lift
- B. Continue with the creative strategy for the cell with the highest positive conversion lift
- C. Continue with the creative strategy for the cell with the highest positive statistically significant conversion lift
- D. Continue with the creative strategy for all cells with positive conversion lift
Correct Answer: A 🗳️
A marketing effectiveness analyst based in an emerging market obtains the following multiple linear regression output for predicting sales as function of price (Price), distribution (Distribution) and advertising (Ads). Some issues occurred with the software, and some of the regression results are corrupted on the output.
What interpretation should be made from the output?
- A. The t-stat for distribution variable is approximately 2.0
- B. The adjusted R square is between 0.81 and 1.00
- C. Intercept is not statistically significant at 0.05 level
- D. The coefficient for the price has a positive sign
Correct Answer: D 🗳️
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