MDFT Pro, a well-known training agency, operates a diverse student management system that serves learners with vastly different backgrounds and requirements. The academy offers various certification paths, from basic Azure fundamentals to advanced specialty certifications, each requiring different student profile information and tracking different progress metrics.
Claire, the data architect at MDFT Pro, is designing a system to store student profiles that can accommodate significant structural variations. Some students may have multiple previous certifications, various contact methods, and extensive learning histories, while others might be new learners with minimal profile information. Mark, the database designer, suggests using semi-structured data to handle these varying requirements.
Can you use semi-structured data to store data that has a highly variable structure?
Choose the correct answer from the options below.
Explanations for each answer: