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Know the Landscape, Not Every Detail
The data science interview process is flawed, as candidates face an overwhelming breadth of knowledge expectations. While in-depth understanding of specific technologies, such as transformer architectures, isn't essential, a general awareness of what's possible with them is critical. This broader perspective helps professionals tackle business challenges effectively, allowing them to leverage advancements in the field without needing to master every technical detail.