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There is a meticulously compiled data engineering interview question bank on GitHub called data-engineering-interview-questions, containing over 2,000 questions covering databases, big data frameworks, cloud platforms, data visualization, and other core areas.
A user observes that Nvidia H100 GPUs seem to have suddenly disappeared from all cloud platforms, sparking discussion about supply constraints.
A defense of MCP (Model Context Protocol) against criticism that it puts garbage in context, noting that modern tools like Claude Code, Codex, and Cursor implement progressive disclosure and load MCP tools on demand, making the complaint outdated. The author argues MCP is best for cloud-hosted platforms requiring authentication and discoverability.
The article argues that US leadership in AI commercialization is decisive, driven by integrated infrastructure from chips to cloud and data platforms, while China lags in commercial reach and Europe struggles without cloud giants.