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SnowPro Advanced: Data Scientist Practice Exam

SNOWPRO-DATA-SCIENTIST

Validates advanced skills in data science workflows, machine learning, Snowpark ML, and AI/ML model deployment on Snowflake. Requires SnowPro Core certification.

Exam Details

Official SNOWPRO-DATA-SCIENTIST exam format

Questions
65
Time Limit
115 minutes
Passing Score
750/1000
Domains
5
7,000+
Practice Questions
100
Unique Practice Exams
Quick Answer: What You Need to Know About the SnowPro Advanced: Data Scientist (SNOWPRO-DATA-SCIENTIST) Exam

The SnowPro Advanced: Data Scientist (SNOWPRO-DATA-SCIENTIST) is an industry-recognized credential administered by Snowflake. The official exam features 65 questions within a 115-minute testing session, requiring a passing score of 750/1000 (75%). BetaStudy provides 7,000+ vetted practice questions mapped directly across all 5 syllabus domains with comprehensive answer rationales, timed exam simulations, and weak-area diagnostics.

ProviderSnowflake
Exam Format65 Qs in 115m
Passing Target750/1000 (75%)
Available Practice7,000+ Questions

Exam Domains

The SnowPro Advanced: Data Scientist exam covers 5 domains with different weight percentages

Domain 1: Data Science Concepts

20%

Fundamental data science and ML concepts

Topics covered:
  • Machine Learning Fundamentals
  • Feature Engineering
  • Model Evaluation
  • Data Preprocessing
  • Statistical Analysis

Domain 2: Snowpark for Data Science

30%

Using Snowpark for ML workflows

Topics covered:
  • Snowpark Python API
  • Snowpark ML
  • Feature Store
  • Model Registry
  • Distributed Processing
  • Snowpark Optimized Warehouses

Domain 3: Machine Learning Operations

25%

MLOps and model deployment

Topics covered:
  • Model Training
  • Model Deployment
  • Model Monitoring
  • ML Pipelines
  • A/B Testing
  • Model Governance

Domain 4: Snowflake Cortex

15%

AI and LLM capabilities in Snowflake

Topics covered:
  • Cortex LLM Functions
  • Cortex ML Functions
  • Cortex Search
  • Document AI
  • Cortex Fine-tuning

Domain 5: Data Visualization and Analysis

10%

Data exploration and visualization

Topics covered:
  • Snowsight Dashboards
  • Streamlit in Snowflake
  • BI Tool Integration
  • Exploratory Data Analysis

What You Get with BetaStudy

7,000+ Questions

Comprehensive question bank covering all exam domains

Timed Exams

Practice under real exam conditions with 115-minute timer

Detailed Explanations

Understand why answers are correct with detailed explanations

Progress Tracking

Track your performance by domain and watch yourself improve

Frequently Asked Questions

Common questions about the SnowPro Advanced: Data Scientist certification exam

How many questions are on the SnowPro Advanced: Data Scientist exam?
The SnowPro Advanced: Data Scientist (SNOWPRO-DATA-SCIENTIST) exam contains 65 questions that must be completed within 115 minutes.
What is the passing score for SnowPro Advanced: Data Scientist?
You need to score 750 out of 1000 (75%) to pass the SnowPro Advanced: Data Scientist certification exam.
What topics are covered in the SnowPro Advanced: Data Scientist exam?
The exam covers 5 main domains: Data Science Concepts, Snowpark for Data Science, Machine Learning Operations, Snowflake Cortex, Data Visualization and Analysis. Each domain has different weight percentages based on importance.
How can BetaStudy help me pass the SnowPro Advanced: Data Scientist exam?
BetaStudy provides 7,000+ practice questions covering all 5 exam domains, 100 unique practice exams that simulate real exam conditions, detailed explanations for every answer, and progress tracking to identify your weak areas.
Are the practice questions updated for the latest SNOWPRO-DATA-SCIENTIST exam?
Yes, our questions are automatically updated whenever the official exam syllabus changes. We monitor the official Snowflake certification page and regenerate questions to match the current exam format.

Official Resources

Official Exam GuideSnowflake Documentation

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