### Q1: What is a Database Management System (DBMS) and how does it facilitate data manipulation?  
### Q2: How does PostgreSQL's support for advanced data types benefit fintech companies in their data analysis?  
### Q3: What are some potential challenges you might encounter when implementing a DBMS in a finance application?  
### Q4: In what scenarios would you prefer using MySQL over MongoDB for a finance-related application?  
### Q5: How can a DBMS improve operational efficiency in a fintech startup when managing customer data?  
### Q6: What factors should be considered when deciding between a low-code approach and a hands-on coding approach for DBMS implementation?  
### Q7: How would you communicate the importance of data integrity to a team unfamiliar with DBMS concepts?  
### Q8: What strategies can be employed to effectively convey data security concerns to stakeholders in the finance sector?  
### Q9: How can you ensure clear communication when presenting your DBMS implementation plan to a non-technical audience?