No, it doesn't need to be as in the popular kids' rhyme. Although Fabric is all about the options, and the same task can be completed in multiple different ways, the decisions you make might have a larger impact on the entire data platform workload. Hence, it is of paramount importance to understand the implications of choosing Option A vs. Option B to complete Task XYZ in Fabric.

In this session, we will try to provide hints and guidance on the most common Fabric dilemmas, such as:
*Which analytical engine to use?
*Should you implement Azure SQL DB or SQL database in Fabric for your transactional workloads?
*Direct Lake or Import mode for Power BI semantic models?
*When to use Dataflows Gen2 vs. Pipelines vs. Notebooks vs. Shortcuts?

Once done, you'll have a better understanding of various techniques for completing the same task, and feel more confident in choosing the optimal solution for your Fabric scenario.