Snowflake DSA-C02 Exam : SnowPro Advanced: Data Scientist Certification Exam

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

Certification goals survive on momentum, and momentum needs immediacy. VerifiedDumps delivers your Snowflake SnowPro Advanced: Data Scientist Certification materials by email within one minute of payment — 67 practice questions ready the moment you are, whenever that moment comes.

Snowflake DSA-C02 Exam Syllabus Topics:

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

DSA-C02 Exam Questions & Answers

What does the VerifiedDumps refund policy cover for the DSA-C02 exam?

VerifiedDumps refunds you in full 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. Delivery is by email within 1 minute of purchase — contact support if nothing arrives within 2 hours.

What is the DSA-C02 certification exam about?

The DSA-C02 exam is a Snowflake certification exam covering the Snowflake SnowPro Advanced: Data Scientist Certification syllabus shown above. It forms part of these credential paths: SnowPro Core Certification, SnowPro Advanced: Data Scientist. Most candidates are working people studying around jobs and families, which is why VerifiedDumps built its 67 practice questions for fragmented schedules — PDF, Desktop Test Engine, and Online Test Engine formats included.

Where do I register for the DSA-C02 exam?

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

    Once your date is confirmed, your VerifiedDumps practice questions arrive by email within 1 minute, so the study clock starts immediately.

    What domains does the DSA-C02 exam consist of?

    The official Snowflake SnowPro Advanced: Data Scientist Certification outline divides the exam into 4 domains, the largest being Model Development (30-35%), Data Science Concepts (15-20%), and Data Preparation and Feature Engineering (25-30%). The full list is in the topics section above, and VerifiedDumps's 67 practice questions address every domain in it.

    What does the DSA-C02 exam cost, and what score passes?

    Registration for the Snowflake SnowPro Advanced: Data Scientist Certification exam costs $375 USD, and the passing score is 750/1000. Retaking means paying the fee again, so check your level with the VerifiedDumps engines before you commit to a date.

    What exactly is included in the VerifiedDumps DSA-C02 package?

    Everything needed to start the minute your order arrives: 67 practice questions for the Snowflake SnowPro Advanced: Data Scientist Certification exam in three formats — a printable, expert-prepared PDF with instant download; 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. Also included: a free demo, 365 days of free updates, a 50% renewal discount afterward, unlimited installations, and remote installation guidance from professional IT staff if you need it.

    Are there official training resources for the DSA-C02 exam?

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

      Reinforce the training with the 67 practice questions from VerifiedDumps — short, frequent sessions fit working schedules better than marathon weekends.

      What prerequisites does the DSA-C02 exam have?

      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 can change, confirm the current version on the official Snowflake exam page before scheduling.

      How many questions and how much time does the DSA-C02 exam allow?

      The Snowflake SnowPro Advanced: Data Scientist Certification exam contains 65 with a limit of 115 minutes. That is tight pacing — rehearse it in the VerifiedDumps Desktop Test Engine's timed mode until it feels natural.

      Snowflake SnowPro Advanced: Data Scientist Certification Sample Questions:

      Question #1

      Which Python method can be used to Remove duplicates by Data scientist?

      • A. duplicates()
      • B. drop_duplicates()
      • C. clean_duplicates()
      • D. remove_duplicates()
      Reveal Solution  Discussion  0

      Correct Answer: C  🗳️

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

      Question #2

      Which one is incorrect understanding about Providers of Direct share?

      • A. If you want to provide a share to many accounts, you can do the same via Direct Share.
      • B. As a data provider, you share a database with one or more Snowflake accounts.
      • C. A data provider is any Snowflake account that creates shares and makes them available to other Snowflake accounts to consume.
      • D. You can create as many shares as you want, and add as many accounts to a share as you want.
      Reveal Solution  Discussion  0

      Correct Answer: A  🗳️

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

      Question #3

      Mark the incorrect statement regarding Python UDF?

      • A. A scalar function (UDF) returns a tabular value for each input row
      • B. Python UDFs can contain both new code and calls to existing packages
      • C. A UDF also gives you a way to encapsulate functionality so that you can call it repeatedly from multiple places in code
      • D. For each row passed to a UDF, the UDF returns either a scalar (i.e. single) value or, if defined as a table function, a set of rows.
      Reveal Solution  Discussion  0

      Correct Answer: A  🗳️

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

      Question #4

      Which ones are the key actions in the data collection phase of Machine learning included?

      • A. Label
      • B. Measure
      • C. Ingest and Aggregate
      • D. Probability
      Reveal Solution  Discussion  0

      Correct Answer: A,C  🗳️

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

      Question #5

      Mark the correct steps for saving the contents of a DataFrame to aSnowflake table as part of Moving Data from Spark to Snowflake?

      • A. Step 1.Use the write() method of the DataFrame to construct a DataFrameWriter.
        Step 2.Specify SNOWFLAKE_SOURCE_NAME using the format() method.
        Step 3.Specify the connector options using either the option() or options() method.
        Step 4.Use the dbtable option to specify the table to which data is written.
        Step 5.Use the mode() method to specify the save mode for the content.
        (Correct)
      • B. Step 1.Use the PUT() method of the DataFrame to construct a DataFrameWriter.
        Step 2.Specify SNOWFLAKE_SOURCE_NAME using the NAME() method.
        Step 3.Use the dbtable option to specify the table to which data is written.
        Step 4.Specify the connector options using either the option() or options() method.
        Step 5.Use the save() method to specify the save mode for the content.
      • C. Step 1.Use the PUT() method of the DataFrame to construct a DataFrameWriter.
        Step 2.Specify SNOWFLAKE_SOURCE_NAME using the format() method.
        Step 3.Specify the connector options using either the option() or options() method.
        Step 4.Use the dbtable option to specify the table to which data is written.
        Step 5.Use the save() method to specify the save mode for the content.
      • D. Step 1.Use the writer() method of the DataFrame to construct a DataFrameWriter.
        Step 2.Specify SNOWFLAKE_SOURCE_NAME using the format() method.
        Step 3.Use the dbtable option to specify the table to which data is written.
        Step 4.Specify the connector options using either the option() or options() method.
        Step 5.Use the save() method to specify the save mode for the content.
      Reveal Solution  Discussion  0

      Correct Answer: A  🗳️

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

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