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Are you ready to take the SnowPro Advanced: Data Scientist Certification Exam? To learn DSA-C02 exam questions, smart security solutions, and move IT forward, you need the Snowflake DSA-C02 Certification. Whether you're making security rules for the whole company or working on hard problems, Snowflake makes sure you're ready for anything. Crack4sure offers study materials and practice problems covering the exam syllabus for Snowflake Courses, including SnowPro Advanced: Data Scientist Certification Exam. Check for daily deals to get products that can help you pass.

DSA-C02 PDF

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  • Questions: 65 Q&A's With Detailed Explanation
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  • Exam Name: SnowPro Advanced: Data Scientist Certification Exam
  • Last Update: 14-Dec-2025
  • Questions and Answers: 65
  • Single Choice: 52 Q&A's
  • Multiple Choice: 13 Q&A's

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DSA-C02 Questions and Answers

Question # 1

Which of the following cross validation versions may not be suitable for very large datasets with hundreds of thousands of samples?

A.

k-fold cross-validation

B.

Leave-one-out cross-validation

C.

Holdout method

D.

All of the above

Question # 2

Which ones are the known limitations of using External function?

A.

Currently, external functions cannot be shared with data consumers via Secure Data Sharing.

B.

Currently, external functions must be scalar functions. A scalar external function re-turns a single value for each input row.

C.

External functions have more overhead than internal functions (both built-in functions and internal UDFs) and usually execute more slowly

D.

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.

Question # 3

Select the Correct Statements regarding Normalization?

A.

Normalization technique uses minimum and max values for scaling of model.

B.

Normalization technique uses mean and standard deviation for scaling of model.

C.

Scikit-Learn provides a transformer RecommendedScaler for Normalization.

D.

Normalization got affected by outliers.

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Snowflake DSA-C02 Exam Dumps FAQs

While there are no formal prerequisites, Snowflake recommends:

  • 2+ years of experience as a data scientist using Snowflake
  • Experience with data science concepts, statistics, and machine learning
  • Familiarity with programming languages like Python or R
  • Prior experience with data modeling and feature engineering

Here are some effective ways to prepare:

  • Review Snowflake's crack4sure learning resources and documentation.
  • Take advantage of online courses or instructor-led training focused on Snowflake data science.
  • Get hands-on experience using Snowflake through practice labs or personal projects.
  • Utilize practice tests to assess your understanding and identify areas for improvement.

Snowflake doesn't publicly disclose the exact format. However, it's generally believed to consist of multiple-choice questions and potentially scenario-based questions testing your problem-solving skills in a Snowflake environment.

Snowflake doesn't reveal the specific passing score. It's best to aim for a high score to ensure you have a good buffer.

Snowflake doesn't publicly announce the exam cost. It's recommended to contact Snowflake directly for current pricing information.

The exam duration is typically 120 minutes (2 hours).

Yes, you can retake the exam after a specific waiting period (usually around 30 days) following a failed attempt. Fees apply for each retake.

Earning the Snowflake DSA-C02 certification validates your expertise in using Snowflake for data science workflows. This can lead to:

  • Increased job opportunities in data science roles that leverage Snowflake
  • Recognition within the data science community for your Snowflake skills
  • Potential for higher earning potential

The certification can open doors to various data science roles where Snowflake is the primary data platform. Examples include:

  • Data Scientist (Snowflake)
  • Machine Learning Engineer (Snowflake)
  • Data Analyst (Snowflake)

While not mandatory, prior experience working with Snowflake for data science tasks is highly beneficial. Hands-on practice allows you to solidify your understanding of the concepts tested in the exam.

The DSA-C02 exam (released in May 2023) is the updated version of the DSA-C01 exam. It reflects the evolution of Snowflake's data science features, particularly the introduction of Snowpark for training machine learning models.

Snowflake may update the exam content periodically to reflect changes in their platform or industry trends. It's recommended to stay updated on the crack4sure Snowflake certification page for any announcements.

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