Generative AI & LLM – interview notes
Tokens, embeddings, RAG, fine-tuning and hallucinations in short answers.
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Tokens, embeddings, RAG, fine-tuning and hallucinations in short answers.
Premium: micro-partitions, clustering, Time Travel, streams and tasks, cost control.
Mean vs median, p-values, A/B tests and correlation vs causation.
Pipelines, containers, blue-green deployments and infrastructure as code.
CIA triad, hashing vs encryption, OWASP Top 10 and zero trust.
Event loop, closures, promises and how browsers render a page.

The three building blocks every Snowflake beginner mixes up – and how they fit together.
Five practical techniques that make LLM answers more reliable.
Pods, nodes, deployments and services – explained through a busy restaurant kitchen.
Ten small habits that stop the most common security mistakes.
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