Snowflake DSA-C02 Exam Topics
Snowflake DSA-C02 Exam Overview :
| Exam Name: | SnowPro Advanced: Data Scientist Certification Exam |
| Exam Code: | DSA-C02 |
| Certifications: | Snowflake SnowPro Certification, Snowflake SnowPro Advanced Certifications |
| See Expected Questions: | Snowflake DSA-C02 Expected Questions in Actual Exam |
Snowflake DSA-C02 Exam Objectives :
| Section | Objectives |
|---|---|
| Data Science Concepts | For data scientists and analysts, this domain evaluates understanding of fundamental machine learning principles, various problem categories, the complete machine learning process, and key statistical concepts essential for data science tasks. It verifies that candidates have a solid grasp of data science fundamentals within the context of Snowflake's ecosystem. |
| Data Pipelining | For data engineers and ETL specialists, this section assesses the ability to augment data using shared sources and construct effective data science workflows. It tests proficiency in designing and implementing robust data streams within Snowflake's infrastructure |
| Data Preparation and Feature Engineering | This section of the test assesses the abilities of data analysts and machine learning engineers in data purification, early data exploration, feature creation and enhancement, and Snowflake-based data visualization approaches. It evaluates proficiency in preparing data for model building and persuading business stakeholders of insights in an efficient manner. |
| DoModel Development | For machine learning engineers and data scientists, this section examines the ability to connect data science tools to Snowflake data, train and validate models, and interpret results. It focuses on the practical aspects of developing machine learning models within the Snowflake environment. |
| Model Deployment | This area covers the process of deploying models into production, evaluating model efficacy, retraining models, and comprehending model lifecycle management technologies for MLOps engineers and data scientists. It guarantees that applicants are capable of putting machine learning models into practice in a production setting that uses Snowflake. |
| Official Information | https://learn.snowflake.com/en/certifications/snowpro-advanced-datascientist/ |
Updates in the Snowflake DSA-C02 Exam Topics:
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