The AP Environmental Science exam consists of two main sections: multiple-choice questions and free-response questions. The exam lasts for approximately three hours. Here's an overview of each section:

1. Multiple-Choice Questions: This section comprises 80 multiple-choice questions. Students are presented with a stimulus, such as a data set, graph, or scenario, and asked to analyze and interpret the information provided. The questions cover various topics within environmental science, including Earth systems and resources, the living world, population dynamics, land and water use, energy resources and consumption, pollution, and global change. Students must select the correct answer from the given options.
2. Free-Response Questions: This section consists of four free-response questions. Students are required to demonstrate their knowledge and skills by responding to prompts that may involve data analysis, experimental design, or essay writing. The questions may require students to analyze environmental problems, propose solutions, evaluate the impact of human activities on ecosystems, or assess environmental policies. Students are expected to provide well-structured and coherent responses supported by scientific knowledge, evidence, and reasoning.

The AP Environmental Science exam is scored on a scale of 1 to 5, with 5 being the highest score. The multiple-choice section accounts for 60% of the total score, while the free-response section accounts for the remaining 40%. The College Board uses a rubric to assess the free-response questions, considering factors such as scientific knowledge, data analysis, critical thinking, and effective communication.

Preparing for the AP Environmental Science exam involves studying various topics, reviewing class notes, reading assigned textbooks, and practicing with sample questions and past exams. It is important to have a solid understanding of environmental science concepts, including ecological principles, environmental impact assessment, resource management, and human-environment interactions. Familiarity with data analysis and experimental design is also crucial.