Expected salary of the Facebook 200-101 Exam certified
The salary for the Facebook 200-101 exam depends on the amount of experience you have in your field. This is also dependent on your location. The average salary of a Facebook 200-101 certified professional after preparing by 200-101 exam dumps may be:
- Canada: $89,500 CAD
- In the United Kingdom: £50,000+ (GBP)
- In the United States: $85,000
- Australia: $82,500+ (AUD)
- In India: ₹ 1,96,000 - 2,95,000
- Germany: €67,000 equivalent (EUR)
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What are the prerequisites for the Facebook 200-101 Exam
The only prerequisites for the Facebook 200-101 is a good knowledge of HTML, CSS, and JavaScript. Basic knowledge of PHP and MySQL is also a plus, but not a requirement. You will also be expected to have a solid understanding of social plugins, security at different layers, and optimizing your application performance. Eligibility for this 200-101 is dependent on your experience and exposure to Facebook. Experience with a social networking site is a plus, but some exposure to Facebook will be an asset in passing the exam.
Reference: https://www.facebook.com/business/learn/certification/exams/200-101-exam#
Facebook 200-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Perform an Analysis | 20% | - Interpret data visualizations - Prepare and manipulate data for analysis - Interpret statistical outputs and regression results - Apply statistical and exploratory analysis methods |
| Topic 2: Hypothesise | 13% | - Determine appropriate actions based on hypothesis validation or invalidation - Translate business goals into testable hypotheses |
| Topic 3: Generate Insights | 16% | - Evaluate impact of measurement approach on KPIs - Synthesize results from statistical and data analyses - Apply concepts to validate or invalidate hypotheses |
| Topic 4: Recommend Measurement Solutions | 18% | - Determine feasibility of measurement solutions - Design tests to address hypotheses - Recommend suitable measurement approaches and tools |
| Topic 5: Assess | 20% | - Evaluate data quality and relevance of existing data sources - Align business goals with KPIs and analysis plans - Communicate assumptions based on situation assessment - Compare and evaluate different measurement methodologies |
| Topic 6: Make Data-Driven Recommendations | 13% | - Provide recommendations for future marketing campaigns - Identify iterative measurement opportunities - Communicate insights clearly to stakeholders |
