Snowflake DSA-C03 Exam Information and Actual Questions

  • Exam Code/Number: DSA-C03
  • Exam Name/Title: SnowPro Advanced: Data Scientist Certification Exam
  • Certification Provider: Snowflake
  • Corresponding Certification: SnowPro Advanced
  • Exam Questions: 289
  • Updated On: Jul 22, 2026

DSA-C03
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Snowflake
DSA-C03 Exam
SnowPro Advanced: Data Scientist Certification Exam

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Snowflake DSA-C03 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Scientist Certification Exam
Exam Number:DSA-C03
Certificate Validity Period:2 years
Related Certifications:SnowPro Core Certification
Real Exam Qty:65
Exam Format:Multiple Choice, Multiple Select
Exam Price:$375 USD
Passing Score:750/1000
Exam Duration:115 minutes
Available Languages:English
Sample Questions:Snowflake DSA-C03 Sample Questions
Exam Way:Online proctored exam or test center delivery through Pearson VUE
Pre Condition:SnowPro Core Certification is recommended. Candidates should have 2+ years of hands-on experience with Snowflake in a production data science environment.
Official Syllabus URL:https://learn.snowflake.com/en/certifications/snowpro-advanced-datascientistC03

Snowflake DSA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Data Science Concepts10%–15%- Machine Learning Concepts
  • 1. Reinforcement learning
  • 2. Unsupervised learning
  • 3. Supervised learning
- Data Science Workflow
  • 1. Model lifecycle
  • 2. Evaluation metrics
  • 3. Experiment tracking
Topic 2: Model Development and Machine Learning25%–30%- Model Training
  • 1. Training workflows
  • 2. Hyperparameter tuning
  • 3. Cross validation
- Model Evaluation
  • 1. Classification metrics
  • 2. Model explainability
  • 3. Regression metrics
Topic 3: Data Preparation and Feature Engineering25%–30%- Feature Engineering
  • 1. Feature extraction
  • 2. Feature selection
  • 3. Feature scaling
- Data Preparation
  • 1. Data transformation
  • 2. Data cleansing
  • 3. Handling missing values
Topic 4: Snowflake Data Science Best Practices15%–20%- Security and Governance
  • 1. Data governance
  • 2. Role-based access control
- Performance Optimization
  • 1. Warehouse sizing
  • 2. Query optimization
Topic 5: Generative AI and LLM Capabilities10%–15%- AI Governance
  • 1. Monitoring AI models
  • 2. Responsible AI
- GenAI in Snowflake
  • 1. Vector embeddings
  • 2. Prompt engineering
  • 3. LLM integration


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