Author name: Abhay

After wrapping up the Domain 1 review yesterday, we’re crossing into new territory: Domain 2 — Account Management & Governance, which makes up 20% of the COF-C03 exam. And we’re starting with the topic that underpins everything else in this domain: access control. Here’s what catches most people off guard — Snowflake doesn’t use just […]

Over the past 14 days, you’ve covered every major topic in Domain 1: Architecture & Features — from Snowflake’s three-layer architecture to Cortex AI functions. Domain 1 carries 31% of the exam weight, making it the single largest domain on the COF-C03. Today is pure review: no new concepts. We’re consolidating everything into comparison tables,

Yesterday you explored Snowpark, Notebooks, and Streamlit — the developer ecosystem that keeps code running where the data lives. Today we’re going even further: what if you could run AI models with nothing but a SQL query? No Python, no model deployment, no infrastructure management. That’s exactly what Snowflake Cortex delivers. Cortex AI functions, Cortex

Yesterday you mastered the three view types and their trade-offs between performance, cost, and security. Today we’re shifting gears from SQL-centric objects to something that’s reshaping how people work in Snowflake: code-first development. Snowpark lets you run Python, Java, and Scala directly inside Snowflake’s compute layer. Notebooks give you a collaborative, multi-language workspace. And Streamlit

Yesterday you met Snowflake’s six table types and learned how to match the right type to the right workload. Today we’re looking at the other side of the coin — views. A view is just a saved query that acts like a virtual table, but in Snowflake there are three flavors, and each one makes