SNOWFLAKE

Snowflake SnowPro Advanced — Data Scientist

SNOWPRO-ADVANCED-DATA-SCIENTIST

The SnowPro Advanced: Data Scientist certification validates your ability to apply comprehensive data science principles, tools, and methodologies using Snowflake. Designed for experienced data scientists, it covers data science concepts, feature engineering, machine learning, and GenAI/LLM capabilities. Earning this credential demonstrates advanced, production-ready expertise in the Snowflake AI Data Cloud.

Practice Free Questions

5Domains

14Objectives

72Practice pages

333Free questions

SNOWPRO-ADVANCED-DATA-SCIENTIST free practice questions

Choose any objective and open any question page — no sign-in required.

Define machine learning concepts for data science workloads

24 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–24

Identify supervised, unsupervised, and reinforcement learning

15 questions · 3 pages

Questions 1–5 6–10 11–15

Identify machine learning problem types

14 questions · 3 pages

Questions 1–5 6–10 11–14

Build data pipelines for data science workloads

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

Ingest and prepare data in Snowflake

23 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–23

Prepare and clean data

22 questions · 5 pages

Questions 1–5 6–10 11–15 16–20 21–22

Engineer features for models

45 questions · 9 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–35 36–40 41–45

Handle missing and categorical data

20 questions · 4 pages

Questions 1–5 6–10 11–15 16–20

Train models using Snowpark ML

14 questions · 3 pages

Questions 1–5 6–10 11–14

Evaluate model performance

18 questions · 4 pages

Questions 1–5 6–10 11–15 16–18

Tune model hyperparameters

32 questions · 7 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–30 31–32

Deploy models in Snowflake

27 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–27

Operationalize and monitor models

27 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–27

Use the Snowflake Model Registry

26 questions · 6 pages

Questions 1–5 6–10 11–15 16–20 21–25 26–26

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Percentages reflect share of the current practice bank, not official exam weightings. Every page above is a live, crawlable practice page (14 objectives · 72 pages).

Snowflake SnowPro Advanced — Data Scientist

SNOWPRO-ADVANCED-DATA-SCIENTIST free practice questions

Domain 1 · Data Science Concepts16% of practice bank · 3 objectives · 53 questions16%

Domain 2 · Data Pipelining15% of practice bank · 2 objectives · 49 questions15%

Domain 3 · Data Preparation and Feature Engineering26% of practice bank · 3 objectives · 87 questions26%

Domain 4 · Model Development19% of practice bank · 3 objectives · 64 questions19%

Domain 5 · Model Deployment and Operationalization24% of practice bank · 3 objectives · 80 questions24%