Exam Name: SnowPro Advanced: Data Scientist Certification Exam
Certification Provider: Snowflake
Corresponding Certification: SnowPro Advanced Certification
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SnowPro Advanced: Data Scientist Certification Exam: DSA-C02 Exam Premium File as PDF & Test Engine
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Last Updated: Sep 24, 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 |
| Related Certifications: | SnowPro Core Certification SnowPro Advanced: Data Engineer |
| Exam Format: | Multiple choice, Multiple select |
| Available Languages: | English |
| Recommended Training: | Snowflake Training and Certification Courses |
| Exam Registration: | Snowflake Certification Portal |
| Sample Questions: | Snowflake DSA-C02 Sample Questions |
| 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 evaluation and iteration - Model development and training workflows |
| Model Deployment and Operationalization | - Monitoring and maintaining ML workflows - Deploying models in Snowflake environment |
| Feature Engineering and Data Processing | - Feature creation and transformation techniques - Handling structured and semi-structured data |
| Snowflake ML and Data Science Tools | - Using Snowpark for Python - Applying built-in Snowflake ML capabilities |
| Data Ingestion and Data Preparation | - Data loading and ingestion patterns - Data cleaning and transformation in Snowflake |
Snowflake DSA-C02 FAQs: What Every Candidate Asks
The DSA-C02 exam, officially titled SnowPro Advanced: Data Scientist Certification Exam, is the qualifying test for the SnowPro Advanced: Data Scientist certification from Snowflake, a credential at the Professional level. Passing it proves you have the skills employers look for in certified professionals, and it can also support progress toward related credentials such as SnowPro Core Certification, SnowPro Advanced: Data Engineer.
SnowPro Core certification is recommended; familiarity with SQL, Python, and data science workflows is expected. Eligibility rules can change over time, so before you register, confirm the latest requirements on the official exam page: Snowflake DSA-C02 exam overview.
You can book your DSA-C02 exam through any of these official registration channels:
The exam is delivered as Online proctored exam via Snowflake certification platform or authorized testing provider, so you can pick the option that fits your schedule when you book.
Snowflake recommends the following training for Snowflake SnowPro Advanced: Data Scientist Certification candidates:
Pair that training with the 67 practice questions from Fast2test and you can check your readiness topic by topic before exam day.
Yes. Fast2test offers a free PDF demo for the Snowflake SnowPro Advanced: Data Scientist Certification exam so you can judge the quality of our questions and answers before paying anything. Every purchase also comes with 365 days of free updates, and once that period expires you can extend your update service at a 50% discount.
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The Snowflake SnowPro Advanced: Data Scientist Certification syllabus is organized into 5 domains. The main areas include Feature Engineering and Data Processing, Model Deployment and Operationalization, and Snowflake ML and Data Science Tools. Scroll up to the Exam Topics section above for the complete, current outline before you plan your study schedule.
Snowflake SnowPro Advanced: Data Scientist Certification Sample Questions:
Which one is not the feature engineering techniques used in ML data science world?
- A. One hot encoding
- B. Imputation
- C. Statistical
- D. Binning
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Which tools helps data scientist to manage ML lifecycle & Model versioning?
- A. MLFlow
- B. CRUX
- C. Pachyderm
- D. Albert
Correct Answer: A,C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Which ones are the correct rules while using a data science model created via External function in Snowflake?
- A. An external function can appear in any clause of a SQL statement in which other types of UDF can appear.
- B. External functions return a value. The returned value can be a compound value, such as a VARIANT that contains JSON.
- C. External functions can accept Model parameters.
- D. External functions can be overloaded.
Correct Answer: A,B,C,D 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
All aggregate functions except _____ ignore null values in their input collection
- A. Avg
- B. Count(attribute)
- C. Count(*)
- D. Sum
Correct Answer: C 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. What does the ex-pression df[lambda x : x.index.str.endswith('3')] do?
- A. Returns the third column
- B. Filters the row labelled r3
- C. Results in Error
- D. Returns the row name r3
Correct Answer: B 🗳️
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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