Azure Data Fundamentals

At the fundamental awareness level, individuals are expected to have a basic understanding of core data concepts. They should be familiar with different types of data, including relational and non-relational data, and understand the concept of data processing. However, they may not yet be able to apply this knowledge in practical situations.

Novices are expected to describe types of core data workloads and have an understanding of basic data analytics concepts. They should also have knowledge of Azure data services and their common uses. At this stage, they can start applying their knowledge in simple, well-defined contexts.

At the intermediate level, individuals should be proficient in using Azure Data Studio and be capable of implementing data solutions on Azure. They should understand data security components such as firewalls and network security groups. They can handle more complex tasks and solve problems with some degree of independence.

Advanced users are expected to manage and troubleshoot Azure data services effectively. They should be proficient in designing and deploying scalable, highly available data solutions. They should also understand advanced data analytics concepts and tools. At this level, they can handle complex scenarios and provide guidance to less experienced colleagues.

Experts are expected to manage and administer large-scale Azure data solutions. They should be capable of designing and implementing complex data migration and transformation scenarios. They should have a deep understanding of performance tuning and optimization techniques for Azure data services. Experts are often seen as thought leaders and are capable of driving strategic decision-making.