Interview Questions By Role

**Context**: 
The goal is to compile a list of common and advanced interview questions tailored to specific job roles across various industries. This will help job seekers prepare for interviews and increase their chances of success. The questions should be relevant, up-to-date, and reflect the current job market demands.

**Detailed Instructions**: 
Provide a list of interview questions for the following roles: Software Engineer, Data Scientist, Product Manager, Marketing Manager, Sales Representative, and Human Resources Generalist. For each role, include:
1. **Introduction**: A brief overview of the role, its key responsibilities, and the skills required.
2. **Common Interview Questions**: A list of 10-15 frequently asked interview questions for the role, covering both technical and behavioral aspects.
3. **Advanced Interview Questions**: A list of 5-10 complex, scenario-based questions that assess problem-solving skills, critical thinking, and experience.
4. **Tips for Preparation**: Advice on how to prepare for the interview, including recommended resources, skills to focus on, and common pitfalls to avoid.

**Output Format**: 
The output should be a detailed, structured document with the following format:
- **Role**: [Role Name]
  - **Introduction**: [Brief Overview]
  - **Common Interview Questions**:
    1. [Question 1]
    2. [Question 2]
   ...
  - **Advanced Interview Questions**:
    1. [Question 1]
    2. [Question 2]
   ...
  - **Tips for Preparation**: [Preparation Advice]

**Examples**: 
For a Software Engineer role, common interview questions might include "What is your favorite programming language and why?" or "How do you approach debugging a complex issue?" An advanced question could be "Design a system to scale a web application to handle a sudden increase in traffic." For a Data Scientist, an example of a common question might be "Can you explain the difference between supervised and unsupervised learning?" while an advanced question could involve predicting customer churn based on a given dataset. 

Ensure the questions are diverse, covering technical skills, problem-solving abilities, and soft skills relevant to each role. The tips for preparation should be concise and actionable, pointing to relevant resources or study materials where applicable.