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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:
- In India: ₹ 1,96,000 - 2,95,000
- Australia: $82,500+ (AUD)
- Canada: $89,500 CAD
- In the United Kingdom: £50,000+ (GBP)
- In the United States: $85,000
- Germany: €67,000 equivalent (EUR)
Reference: https://www.facebook.com/business/learn/certification/exams/200-101-exam#
Main Objective of the Facebook 200-101
The objective of the Facebook 200-101 is to ensure that you have a thorough knowledge of how to create Facebook mobile and web applications. It also confirms that you have the knowledge on how to analyze your data and enhance your application performance. Your ability to create an interactive experience for the users will be tested, as well as how familiar you are with social media integration. 200-101 exam dumps will be required to prepare for the exam. You will also be expected to have a solid understanding of social plugins, security at different layers, and optimizing your application performance. Weaknesses in your knowledge will be identified so that you can strengthen them to ensure that you are ready for the exam. Additional knowledge can be acquired by either reading, watching online training videos, or performing hands-on work.
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Facebook 200-101 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Hypothesise | 13% | - Determine appropriate actions based on hypothesis validation or invalidation - Translate business goals into testable hypotheses |
| Topic 2: Recommend Measurement Solutions | 18% | - Determine feasibility of measurement solutions - Design tests to address hypotheses - Recommend suitable measurement approaches and tools |
| Topic 3: Generate Insights | 16% | - Apply concepts to validate or invalidate hypotheses - Evaluate impact of measurement approach on KPIs - Synthesize results from statistical and data analyses |
| Topic 4: Perform an Analysis | 20% | - Interpret statistical outputs and regression results - Prepare and manipulate data for analysis - Interpret data visualizations - Apply statistical and exploratory analysis methods |
| Topic 5: Make Data-Driven Recommendations | 13% | - Provide recommendations for future marketing campaigns - Identify iterative measurement opportunities - Communicate insights clearly to stakeholders |
| Topic 6: Assess | 20% | - Evaluate data quality and relevance of existing data sources - Align business goals with KPIs and analysis plans - Compare and evaluate different measurement methodologies - Communicate assumptions based on situation assessment |
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