Snowflake SnowPro Advanced: Data Scientist Certification : DSA-C02

  • Exam Code: DSA-C02
  • Exam Name: SnowPro Advanced: Data Scientist Certification Exam
  • Updated: Sep 22, 2026
  • Q & A: 67 Questions and Answers

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About Snowflake DSA-C02 Exam

Add confidence to handle whatever happens at work. The Snowflake SnowPro Advanced: Data Scientist Certification exam torrent from VCETorrent builds it: 67 practice questions for the DSA-C02 exam.

Snowflake DSA-C02 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Scientist Certification Exam
Exam Number:DSA-C02
Exam Duration:115 minutes
Available Languages:English
Exam Price:$375 USD
Related Certifications:SnowPro Core Certification
SnowPro Advanced: Data Scientist
Certificate Validity Period:2 years
Passing Score:750/1000
Real Exam Qty:65
Exam Format:Scenario-based Questions, Multiple Choice, Multiple Select
Sample Questions:Free Download DSA-C02 Exam PDF Torrent
Exam Way:Online proctored exam or test center delivery through Pearson VUE
Pre Condition:Active SnowPro Core Certification is recommended. Snowflake recommends 2+ years of hands-on experience as a Data Scientist using Snowflake in a production environment.
Official Syllabus URL:https://learn.snowflake.com/en/certifications/snowpro-advanced-datascientistC03

Snowflake DSA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Data Science Concepts15-20%- Data Science Methodologies
  • 1. Bias and variance concepts
  • 2. Feature selection techniques
  • 3. Cross-validation methods
  • 4. Experiment design
- Machine Learning Fundamentals
  • 1. Supervised learning
  • 2. Model evaluation metrics
  • 3. Classification and regression
  • 4. Unsupervised learning
Model Development30-35%- Snowflake Machine Learning Capabilities
  • 1. Integrated machine learning services
  • 2. Python-based data science development
  • 3. Snowpark ML workflows
- Model Evaluation
  • 1. Interpret model results
  • 2. Evaluate model performance
  • 3. Compare candidate models
- Model Training
  • 1. Hyperparameter tuning
  • 2. Model selection strategies
  • 3. Train machine learning models
Data Preparation and Feature Engineering25-30%- Exploratory Data Analysis
  • 1. Identify correlations
  • 2. Analyze distributions
  • 3. Detect anomalies
- Feature Engineering
  • 1. Encoding categorical variables
  • 2. Use Snowpark DataFrames
  • 3. Normalization and scaling
  • 4. Create derived features
- Data Preparation
  • 1. Data type conversion
  • 2. Clean and transform data in Snowflake
  • 3. Handle missing values
  • 4. Sampling and aggregation
Model Deployment and Operations20-25%- Monitoring and Governance
  • 1. Manage model versions
  • 2. Ensure security and compliance
  • 3. Monitor model performance
- Model Deployment
  • 1. Deploy models in Snowflake
  • 2. Batch and real-time inference
  • 3. Production integration patterns
- Generative AI and Advanced Capabilities
  • 1. Apply GenAI workflows
  • 2. Evaluate AI model outputs
  • 3. Use LLM capabilities in Snowflake

Snowflake DSA-C02 Exam: Every Stage, Answered

The Snowflake SnowPro Advanced: Data Scientist Certification is Snowflake's certification exam for SnowPro Advanced Certification, at the Advanced level. The certificate is an indispensable part of becoming an elite in this field — priority in salary, outlook, and promotion follows it. Related credentials include SnowPro Core Certification, SnowPro Advanced: Data Scientist.

Right after you place your order, our system emails the Snowflake SnowPro Advanced: Data Scientist Certification material automatically — about a minute, so you can download and begin your practice plans immediately, with 24/7 help if nothing arrives within 2 hours. If you fail the corresponding DSA-C02 exam within 60 days of purchase, we return your full amount: send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Excluded: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.

$375 USD per attempt, 750/1000 to pass. Retakes cost the full fee again — plan your preparation regularly with the 67 practice questions for the DSA-C02 exam at VCETorrent.

Yes — download the free Snowflake SnowPro Advanced: Data Scientist Certification demo before paying; the full torrent goes well beyond it. Purchases include 365 days of free updates by email; renew afterward at 50% off.

115 minutes for 65 questions. Rich functions in the VCETorrent software and app engines — timed modes and progress tracking — build the pacing you need.

The Snowflake SnowPro Advanced: Data Scientist Certification blueprint spans 4 domains — including Data Preparation and Feature Engineering (25-30%), Model Deployment and Operations (20-25%), Model Development (30-35%). Plan practice around the heavier domains; the complete outline above lists every subtopic.

Active SnowPro Core Certification is recommended. Snowflake recommends 2+ years of hands-on experience as a Data Scientist using Snowflake in a production environment. Eligibility rules change over time, so verify the current requirements on the official page (official DSA-C02 exam page) before registering.

Snowflake SnowPro Advanced: Data Scientist Certification Sample Questions:

Question #1

To return the contents of a DataFrame as a Pandas DataFrame, Which of the following method can be used in SnowPark API?

  • A. CONVERT_TO_PANDAS
  • B. SNOWPARK_TO_PANDAS
  • C. TO_PANDAS
  • D. REPLACE_TO_PANDAS
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #2

Secure Data Sharing do not let you share which of the following selected objects in a database in your account with other Snowflake accounts?

  • A. Sequences
  • B. External tables
  • C. Secure UDFs
  • D. Tables
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for VCETorrent members. You can sign-up / login (it's free).

Question #3

Which metric is not used for evaluating classification models?

  • A. Accuracy
  • B. Mean absolute error
  • C. Recall
  • D. Precision
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #4

Which tools helps data scientist to manage ML lifecycle & Model versioning?

  • A. Pachyderm
  • B. MLFlow
  • C. CRUX
  • D. Albert
Reveal Solution  Discussion  0

Correct Answer: A,B  🗳️

Explanation: Only visible for VCETorrent members. You can sign-up / login (it's free).

Question #5

You previously trained a model using a training dataset. You want to detect any data drift in the new data collected since the model was trained.
What should you do?

  • A. Create a new dataset using the new data and a timestamp column and create a data drift monitor that uses the training dataset as a baseline and the new dataset as a target.
  • B. Retrained your training dataset after correcting data outliers & no need to introduce new data.
  • C. Create a new version of the dataset using only the new data and retrain the model.
  • D. Add the new data to the existing dataset and enable Application Insights for the service where the model is deployed.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for VCETorrent members. You can sign-up / login (it's free).

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