TIPS CERTIFICATION TEST BANK
QUESTIONS WITH VERIFIED ANSWERS
FULL REVIEW
●● Snowflake Cortex AI features
Answer: Includes offerings like Cortex Analyst, Cortex Search, Cortex
Fine-tuning, and Snowflake Copilot.
●● Large Language Models (LLMs)
Answer: Used to support customer use cases in conjunction with
Snowflake Cortex AI features.
●● Snowpark Container Services
Answer: Allows building open-source models with Snowflake Model
Registry, such as Hugging Face.
●● Document AI
Answer: Used to train and troubleshoot models specific to authentic use
cases.
●● Retrieval Augmented Generation (RAG)
Answer: Applications leveraging LLMs.
,●● Estimated length of study time
Answer: 10 - 13 hours.
●● Prerequisite for Specialty: Gen AI Certification Exam
Answer: Holding either the SnowPro Associate: Platform or the
SnowPro Core Certification in good standing.
●● Target Audience
Answer: Candidates with one or more years of Gen AI experience with
Snowflake in an enterprise environment.
●● Expected knowledge for candidates
Answer: Advanced proficiency writing code in Python, along with
previous data engineering and SQL knowledge.
●● Certification success guarantee
Answer: Use of this study guide does not guarantee certification success.
●● Exam format
Answer: Includes scenario-based questions, interactive questions, and
real-world examples.
●● Snowflake domains covered
, Answer: Includes objectives and topics outlined in the study guide.
●● Resources for exam preparation
Answer: Links to documentation, blogs, and/or exercises designed to
support candidates' understanding of Gen AI on Snowflake.
●● Snowflake Gen AI principles
Answer: Includes capabilities and best practices related to infrastructure,
data governance, and cost governance.
●● Cortex Analyst
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Cortex Search
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Cortex Fine-tuning
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Snowflake Copilot
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Snowflake Model Registry
QUESTIONS WITH VERIFIED ANSWERS
FULL REVIEW
●● Snowflake Cortex AI features
Answer: Includes offerings like Cortex Analyst, Cortex Search, Cortex
Fine-tuning, and Snowflake Copilot.
●● Large Language Models (LLMs)
Answer: Used to support customer use cases in conjunction with
Snowflake Cortex AI features.
●● Snowpark Container Services
Answer: Allows building open-source models with Snowflake Model
Registry, such as Hugging Face.
●● Document AI
Answer: Used to train and troubleshoot models specific to authentic use
cases.
●● Retrieval Augmented Generation (RAG)
Answer: Applications leveraging LLMs.
,●● Estimated length of study time
Answer: 10 - 13 hours.
●● Prerequisite for Specialty: Gen AI Certification Exam
Answer: Holding either the SnowPro Associate: Platform or the
SnowPro Core Certification in good standing.
●● Target Audience
Answer: Candidates with one or more years of Gen AI experience with
Snowflake in an enterprise environment.
●● Expected knowledge for candidates
Answer: Advanced proficiency writing code in Python, along with
previous data engineering and SQL knowledge.
●● Certification success guarantee
Answer: Use of this study guide does not guarantee certification success.
●● Exam format
Answer: Includes scenario-based questions, interactive questions, and
real-world examples.
●● Snowflake domains covered
, Answer: Includes objectives and topics outlined in the study guide.
●● Resources for exam preparation
Answer: Links to documentation, blogs, and/or exercises designed to
support candidates' understanding of Gen AI on Snowflake.
●● Snowflake Gen AI principles
Answer: Includes capabilities and best practices related to infrastructure,
data governance, and cost governance.
●● Cortex Analyst
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Cortex Search
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Cortex Fine-tuning
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Snowflake Copilot
Answer: A feature within the Snowflake Cortex suite of Gen AI.
●● Snowflake Model Registry
