Exam Name: SnowPro Advanced: Data Scientist Certification Exam
Certification Provider: Snowflake
Corresponding Certification: SnowPro Advanced Certification
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Instant Download Snowflake : DSA-C02
Check Updated on: Oct 31, 2026
No. of Questions: 67 Questions & Answers with Exam Engine
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Employers keep raising the bar, and the Snowflake SnowPro Advanced: Data Scientist Certification keeps rising with it. ActualVCE matches that pace: the DSA-C02 question set — 67 strong — is refreshed throughout 2026.
Snowflake DSA-C02 Exam Overview:
| Certification Vendor: | Snowflake |
|---|---|
| Exam Name: | SnowPro Advanced: Data Scientist Certification Exam |
| Exam Number: | DSA-C02 |
| Related Certifications: | SnowPro Core Certification SnowPro Advanced: Data Engineer |
| Available Languages: | English |
| Exam Format: | Multiple choice, Multiple select |
| Recommended Training: | Snowflake Training and Certification Courses |
| Exam Registration: | Snowflake Certification Portal |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam via Snowflake certification platform or authorized testing provider |
| Pre Condition: | SnowPro Core certification is recommended; familiarity with SQL, Python, and data science workflows is expected. |
| Official Syllabus URL: | https://www.snowflake.com/certifications/ |
Snowflake DSA-C02 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning in Snowflake | - Model development and training workflows - Model evaluation and iteration |
| Snowflake ML and Data Science Tools | - Applying built-in Snowflake ML capabilities - Using Snowpark for Python |
| Feature Engineering and Data Processing | - Feature creation and transformation techniques - Handling structured and semi-structured data |
| Data Ingestion and Data Preparation | - Data cleaning and transformation in Snowflake - Data loading and ingestion patterns |
| Model Deployment and Operationalization | - Monitoring and maintaining ML workflows - Deploying models in Snowflake environment |
DSA-C02 Questions You Were Going to Ask
Book through the vendor's official channels:
The Snowflake SnowPro Advanced: Data Scientist Certification runs Online proctored exam via Snowflake certification platform or authorized testing provider — pick the format that fits your schedule when booking.
The Snowflake SnowPro Advanced: Data Scientist Certification syllabus is organized into 5 domains — including Machine Learning in Snowflake, Model Deployment and Operationalization, Feature Engineering and Data Processing. The percentages show where the exam concentrates its points; weight your revision the same way. The complete outline is listed above.
Yes. The free Snowflake SnowPro Advanced: Data Scientist Certification demo at ActualVCE lets you judge the question quality before paying. Purchases include 365 days of free updates; after that, renew at half price.
The Snowflake SnowPro Advanced: Data Scientist Certification is Snowflake's certification exam for SnowPro Advanced: Data Scientist, a Professional-level credential. Employers value it because it verifies real skills, not attendance. Related credentials include SnowPro Core Certification, SnowPro Advanced: Data Engineer.
Delivery is instant: the moment payment succeeds, our system emails the product to your mailbox — typically within a minute — and you can install it on unlimited devices. Still nothing after 2 hours? Check spam, then reach our 24-hour online staff. If you take the corresponding DSA-C02 exam within 60 days of purchase and don't pass, we refund in full: send a scanned enrollment slip and the official Score Report PDF within 2 days of your exam, and processing completes within 7 days. Not covered: exams within 3 days of purchase, payer-name mismatches, and free or expired products. Or swap for two equal-value products free instead.
Yes:
Training explains; practice proves. Follow any course with the 67 practice questions for the Snowflake SnowPro Advanced: Data Scientist Certification to confirm the knowledge stuck.
SnowPro Core certification is recommended; familiarity with SQL, Python, and data science workflows is expected. Because vendors adjust eligibility rules from time to time, verify the current requirements on the official page (official DSA-C02 exam page) before you register.
Snowflake SnowPro Advanced: Data Scientist Certification Sample Questions:
Performance metrics are a part of every machine learning pipeline, Which ones are not the performance metrics used in the Machine learning?
- A. AUM
- B. R2 (R-Squared)
- C. AU-ROC
- D. Root Mean Squared Error (RMSE)
Correct Answer: A 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
Which one is not the types of Feature Engineering Transformation?
- A. Aggregation
- B. Normalization
- C. Encoding
- D. Scaling
Correct Answer: A 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
Which one is not Types of Feature Scaling?
- A. Economy Scaling
- B. Min-Max Scaling
- C. Robust Scaling
- D. Standard Scaling
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
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. Remove the ethnicity feature from the training dataset.
- B. Evaluate each trained model with a validation datasetand use the model with the highest accuracy score.
- C. Compare disparity between selection rates and performance metrics across ethnicities.
- D. None of the above.
Correct Answer: C 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
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 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. - B. 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) - C. 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. - D. 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.
Correct Answer: B 🗳️
Explanation: Only visible for ActualVCE members. You can sign-up / login (it's free).
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