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  • Total Questions: 67
  • Updated on: Nov 10, 2026
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Snowflake DSA-C02 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Scientist Certification Exam
Exam Number:DSA-C02
Exam Duration:115 minutes
Related Certifications:SnowPro Advanced: Data Scientist
SnowPro Core Certification
Certificate Validity Period:2 years
Passing Score:750/1000
Available Languages:English
Real Exam Qty:65
Exam Price:$375 USD
Exam Format:Multiple Select, Multiple Choice, Scenario-based Questions
Sample Questions: DOWNLOAD DEMO
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
Topic 1: Model Development30-35%- Model Training
  • 1. Train machine learning models
  • 2. Model selection strategies
  • 3. Hyperparameter tuning
- Model Evaluation
  • 1. Compare candidate models
  • 2. Evaluate model performance
  • 3. Interpret model results
- Snowflake Machine Learning Capabilities
  • 1. Integrated machine learning services
  • 2. Snowpark ML workflows
  • 3. Python-based data science development
Topic 2: Data Preparation and Feature Engineering25-30%- Data Preparation
  • 1. Sampling and aggregation
  • 2. Handle missing values
  • 3. Clean and transform data in Snowflake
  • 4. Data type conversion
- Exploratory Data Analysis
  • 1. Analyze distributions
  • 2. Detect anomalies
  • 3. Identify correlations
- Feature Engineering
  • 1. Use Snowpark DataFrames
  • 2. Create derived features
  • 3. Encoding categorical variables
  • 4. Normalization and scaling
Topic 3: Data Science Concepts15-20%- Machine Learning Fundamentals
  • 1. Classification and regression
  • 2. Model evaluation metrics
  • 3. Unsupervised learning
  • 4. Supervised learning
- Data Science Methodologies
  • 1. Feature selection techniques
  • 2. Bias and variance concepts
  • 3. Cross-validation methods
  • 4. Experiment design
Topic 4: Model Deployment and Operations20-25%- Generative AI and Advanced Capabilities
  • 1. Evaluate AI model outputs
  • 2. Apply GenAI workflows
  • 3. Use LLM capabilities in Snowflake
- Monitoring and Governance
  • 1. Ensure security and compliance
  • 2. Monitor model performance
  • 3. Manage model versions
- Model Deployment
  • 1. Deploy models in Snowflake
  • 2. Batch and real-time inference
  • 3. Production integration patterns

Snowflake SnowPro Advanced: Data Scientist Certification Exam: Questions Candidates Actually Ask

Online proctored exam or test center delivery through Pearson VUE Register for the Snowflake SnowPro Advanced: Data Scientist Certification exam through these official channels:

    After booking, ActualTestsIT delivers your practice questions within 1 minute — preparation starts the same day.

    ActualTestsIT issues a full refund if you take the Snowflake SnowPro Advanced: Data Scientist Certification exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.

    The Snowflake SnowPro Advanced: Data Scientist Certification exam requires 750/1000 to pass, and registration costs $375 USD. A failed attempt means paying the same fee again — a readiness check with the ActualTestsIT engines before booking is the cheaper option.

    The official Snowflake SnowPro Advanced: Data Scientist Certification outline defines 4 domains. The leading three are Data Preparation and Feature Engineering (25-30%), Model Development (30-35%), and Model Deployment and Operations (20-25%). The full list is in the topics section above, and ActualTestsIT's 67 practice questions cover each one.

    The Snowflake SnowPro Advanced: Data Scientist Certification exam contains 65 to complete within 115 minutes. Timed simulation in the ActualTestsIT Desktop Test Engine teaches that rhythm before exam day does.

    Active SnowPro Core Certification is recommended. Snowflake recommends 2+ years of hands-on experience as a Data Scientist using Snowflake in a production environment. Since requirements change over time, confirm the latest on the official Snowflake exam page before scheduling.

    Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 67 practice questions are identical across versions. Every purchase includes 365 days of free updates, a 50% renewal discount afterward, and unlimited computer installations.

    The DSA-C02 exam is a Snowflake certification exam validating the Snowflake SnowPro Advanced: Data Scientist Certification syllabus shown above. It belongs to these credential paths: SnowPro Core Certification, SnowPro Advanced: Data Scientist. Earning it in 2026 demonstrates ability in a form employers recognize — and ActualTestsIT prepares candidates with 67 practice questions in PDF, Desktop Test Engine, and Online Test Engine formats.

    Snowflake recommends these training resources for the Snowflake SnowPro Advanced: Data Scientist Certification exam:

      Follow the training with steady self-testing — the 67 practice questions from ActualTestsIT help you apply theory and fill any gaps the training leaves.

      Snowflake SnowPro Advanced: Data Scientist Certification Sample Questions:

      You are training a binary classification model to support admission approval decisions for a college degree program.
      How can you evaluate if the model is fair, and doesn't discriminate based on ethnicity?

      • A. Compare disparity between selection rates and performance metrics across ethnicities.
      • B. None of the above.
      • C. Remove the ethnicity feature from the training dataset.
      • D. Evaluate each trained model with a validation datasetand use the model with the highest accuracy score.
      Reveal Solution  Discussion  0

      Correct Answer: A  🗳️

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

      Which of the following process best covers all of the following characteristics?
      Collecting descriptive statistics like min, max, count and sum.
      Collecting data types, length and recurring patterns.
      Tagging data with keywords, descriptions or categories.
      Performing data quality assessment, risk of performing joins on the data.
      Discovering metadata and assessing its accuracy.
      Identifying distributions, key candidates, foreign-key candidates,functional dependencies, embedded value dependencies, and performing inter-table analysis.

      • A. Data Visualization
      • B. Data Collection
      • C. Data Profiling
      • D. Data Virtualization
      Reveal Solution  Discussion  0

      Correct Answer: C  🗳️

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

      Which of the Following is not type of Windows function in Snowflake?

      • A. Rank-related functions.
      • B. Aggregation window functions.
      • C. Window frame functions.
      • D. Association functions.
      Reveal Solution  Discussion  0

      Correct Answer: B,D  🗳️

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

      Skewness of Normal distribution is ___________

      • A. Negative
      • B. 0
      • C. Positive
      • D. Undefined
      Reveal Solution  Discussion  0

      Correct Answer: B  🗳️

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

      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 version of the dataset using only the new data and retrain the model.
      • B. Add the new data to the existing dataset and enable Application Insights for the service where the model is deployed.
      • C. 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.
      • D. Retrained your training dataset after correcting data outliers & no need to introduce new data.
      Reveal Solution  Discussion  0

      Correct Answer: C  🗳️

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

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