Snowflake Interview Prep Part 4 FINAL | Security Time Travel Data Sharing Streams Tasks #Snowflake

Welcome to Part 4 — the FINAL video of the Snowflake Interview Preparation Series on Time Variant!

Congratulations on making it to the end of this 4-day series. Part 4 is the most comprehensive and the most advanced. It covers Security and Access Control, Time Travel and Fail-Safe, Data Sharing, Streams, Tasks, and all the advanced Snowflake topics that appear in senior-level and architect-level interviews. Complete this video and you will be ready for any Snowflake interview at any level.

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INTERVIEW QUESTIONS COVERED IN THIS VIDEO
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SECURITY AND ACCESS CONTROL (RBAC):
► What is Role-Based Access Control (RBAC) in Snowflake?
► What are the system-defined roles in Snowflake — ACCOUNTADMIN, SYSADMIN, SECURITYADMIN, USERADMIN, PUBLIC?
► What is the principle of least privilege and how do you apply it in Snowflake?
► How do you create a custom role and grant privileges in Snowflake?
► What is the difference between GRANT on a table vs GRANT on a schema vs GRANT on a database?
► What is the difference between ownership and usage privilege?
► What is Future Grant in Snowflake and why is it useful?
► How does Snowflake handle authentication — MFA, SSO, Key Pair?
► What is Network Policy in Snowflake and how do you restrict IP access?
► What is the difference between Column-Level Security and Row-Level Security?
► What is Dynamic Data Masking in Snowflake?
► What is Row Access Policy in Snowflake?
► What is Tri-Secret Secure in Snowflake Business Critical edition?
► What is Private Link and when do you need it?
► How does Snowflake encrypt data at rest and in transit?

TIME TRAVEL AND FAIL-SAFE:
► What is Time Travel in Snowflake?
► How long can you go back in Time Travel — what is the maximum retention period?
► How do you query historical data using AT and BEFORE keywords?
► What is the difference between AT TIMESTAMP, AT OFFSET, and AT STATEMENT?
► How do you restore a dropped table using Time Travel?
► What is UNDROP TABLE, UNDROP SCHEMA, UNDROP DATABASE?
► What is Fail-Safe in Snowflake and how is it different from Time Travel?
► What is the Fail-Safe retention period — 7 days for permanent tables?
► Can you access Fail-Safe data yourself — the answer and why?
► What is the storage cost implication of Time Travel retention period?
► What is the difference between Transient Table and Permanent Table for Time Travel?
► What is a Temporary Table in Snowflake and what is its Time Travel period?
► What is the METADATA$ACTION column in a Stream?
► What is the METADATA$ISUPDATE column and when is it true?
► What is the stale property of a Stream and what causes staleness?
► What is a Task in Snowflake?
► How do you schedule a Task — using CRON or interval-based schedule?
► What is a Task Tree — parent tasks and child tasks?
► How do Streams and Tasks work together to build CDC pipelines?
► What is the difference between a Snowflake Task and a dbt job?

ZERO COPY CLONING:
► What is Zero Copy Cloning in Snowflake?
► What objects can you clone in Snowflake — tables, schemas, databases, stages?
► What is the storage implication of cloning?
► When does a clone start consuming additional storage?
► Common use case for cloning in development and testing

ADVANCED TOPICS:
► What are Transient Tables vs Permanent Tables vs Temporary Tables?
► What is a Sequence in Snowflake and when do you use it?
► What is External Table in Snowflake and when is it useful?
► What is Iceberg Table in Snowflake?
► What is Snowpark and how does it extend Snowflake for Python and Java?
► What are UDFs (User Defined Functions) in Snowflake — SQL, JavaScript, Python?
► What are Stored Procedures in Snowflake and how do they differ from UDFs?
► What is the difference between UDF and UDTF (User Defined Table Function)?

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SERIES COMPLETE — WELL DONE!
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You have now covered every topic that appears in Snowflake interviews at every level — from fresher to principal engineer. Go into your interview with full confidence. And please share this free series with every friend in your network who is preparing for a data role.

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CONNECT WITH MADHU
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Madhu — Corporate Mentor | Time Variant
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