Exam Name: SnowPro Advanced: Data Scientist Certification Exam
Certification Provider: Snowflake
Corresponding Certification: SnowPro Advanced Certification
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Updated: Nov 06, 2026
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- Total Questions: 67
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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: | 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 |
|---|---|
| Data Ingestion and Data Preparation | - Data loading and ingestion patterns - Data cleaning and transformation in Snowflake |
| Model Deployment and Operationalization | - Deploying models in Snowflake environment - Monitoring and maintaining ML workflows |
| Feature Engineering and Data Processing | - Feature creation and transformation techniques - Handling structured and semi-structured data |
| Machine Learning in Snowflake | - Model evaluation and iteration - Model development and training workflows |
| Snowflake ML and Data Science Tools | - Using Snowpark for Python - Applying built-in Snowflake ML capabilities |
DSA-C02 Exam: Your Questions, Our Promises
Snowflake SnowPro Advanced: Data Scientist Certification is an official Snowflake exam, registered under the code DSA-C02. Passing it earns the SnowPro Advanced: Data Scientist certification at the Professional level. It also connects to SnowPro Core Certification, SnowPro Advanced: Data Engineer. In a fast-developed industry, this certificate is a promise to your career and your next promotion.
SnowPro Core certification is recommended; familiarity with SQL, Python, and data science workflows is expected.
Vendor policies do evolve, so confirm the current conditions before you register on the official exam page.
Registration for Snowflake SnowPro Advanced: Data Scientist Certification runs through the official channels below.
One scheduling detail: the exam is delivered Online proctored exam via Snowflake certification platform or authorized testing provider.
Yes, Snowflake recommends the following training for Snowflake SnowPro Advanced: Data Scientist Certification candidates.
Whichever training you follow, practice daily with the 67 questions in the Prep4away DSA-C02 package; regular hours with real exam-style items are what turn preparation into a pass.
Snowflake SnowPro Advanced: Data Scientist Certification is divided into 5 official domains, led by Model Deployment and Operationalization, Machine Learning in Snowflake, and Data Ingestion and Data Preparation. The full outline is above; while details shift over time, the main test points stay steady, and we have already sorted them for you.
Yes and yes. If you are a little suspicious, download the free demo of the Snowflake SnowPro Advanced: Data Scientist Certification questions and check the material before deciding. After purchase, updates are free for 365 days, with new versions sent to you as soon as test points change; after expiry, extending the update service costs 50% of the regular price.
We promise it in writing: a 100% money-back guarantee under defined conditions. Take the Snowflake SnowPro Advanced: Data Scientist Certification exam within 60 days of purchase; if you fail, claim a full refund according to your transcript by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are excluded. Alternatively, switch freely to other exam material: two equivalent products, free, with updates retained on your original purchase.
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Snowflake SnowPro Advanced: Data Scientist Certification Sample Questions:
Which ones are the known limitations of using External function?
- A. External functions have more overhead than internal functions (both built-in functions and internal UDFs) and usually execute more slowly
- B. An external function accessed through an AWS API Gateway private endpoint can be accessed only from a Snowflake VPC (Virtual Private Cloud) on AWS and in the same AWS region.
- C. Currently, external functions cannot be shared with data consumers via Secure Data Sharing.
- D. Currently, external functions must be scalar functions. A scalar external function re-turns a single value for each input row.
Correct Answer: A,B,C,D 🗳️
Which one is not the feature engineering techniques used in ML data science world?
- A. Imputation
- B. One hot encoding
- C. Statistical
- D. Binning
Correct Answer: C 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
Mark the incorrect statement regarding usage of Snowflake Stream & Tasks?
- A. An standard-only stream tracks row inserts only.
- B. Snowflake automatically resizes and scales the compute resources for serverless tasks.
- C. Snowflake ensures only one instance of a task with a schedule (i.e. a standalone task or the root task in a DAG) is executed at a given time. If a task is still running when the next scheduled execution time occurs, then that scheduled time is skipped.
- D. Streams support repeatable read isolation.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
Which of the following is a Python-based web application framework for visualizing data and analyzing results in a more efficient and flexible way?
- A. Streamlit
- B. StreamBI
- C. Rapter
- D. Streamsets
Correct Answer: A 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
Which are the following additional Metadata columns Stream contains that could be used for creating Efficient Data science Pipelines & helps in transforming only the New/Modified data only?
- A. METADATA$ACTION
- B. METADATA$DELETE
- C. METADATA$ROW_ID
- D. METADATA$FILE_ID
- E. METADATA$ISUPDATE
Correct Answer: A,C,E 🗳️
Explanation: Only visible for Prep4away members. You can sign-up / login (it's free).
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