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Snowflake DSA-C02 Exam Questions
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- Snowflake SnowPro Advanced Certifications
- Topic 1: Data Science Concepts: This portion of the test includes basic machine learning principles, problem types, the machine learning lifecycle, and statistical ideas that are crucial for data science workloads for analysts and data scientists. It guarantees that applicants comprehend data science theory inside the framework of Snowflake's platform.
- Topic 2: Data Pipelining: This domain focuses on creating efficient data science pipelines and enhancing data through data-sharing sources for data engineers and ETL specialists. It evaluates the capacity to establish reliable data flows throughout the ecosystem of Snowflake.
- Topic 3: Data Preparation and Feature Engineering: This section of the test includes data cleansing, exploratory data analysis, feature engineering, and data visualization using Snowflake for data analysts and machine learning developers. It evaluates proficiency in data preparation for model building and stakeholder presentation.
- Topic 4: Model Deployment: For MLOps engineers and data scientists, this domain covers the process of moving models into production, assessing model effectiveness, retraining models, and understanding model lifecycle management tools. It ensures candidates can operationalize machine learning models in a Snowflake-based production environment.
Free Snowflake DSA-C02 Exam Actual Questions
Note: Premium Questions for DSA-C02 were last updated On Aug. 15, 2025 (see below)
Which command is used to install Jupyter Notebook?
Jupyter Notebook is a web-based interactive computational environment.
The command used to install Jupyter Notebook is pip install jupyter.
The command used to start Jupyter Notebook is jupyter notebook.
In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?
What is linear regression?
Linear regression analysis is used to predict the value of a variable based on the value of another variable. The variable you want to predict is called the dependent variable. The variable you are using to predict the other variable's value is called the independent variable.
Linear regression attempts to model the relationship between two variables by fitting a linear equation to observed data. One variable is considered to be an explanatory variable, and the other is considered to be a dependent variable. For example, a modeler might want to relate the weights of individuals to their heights using a linear regression model.
A linear regression line has an equation of the form Y = a + bX, where X is the explanatory variable and Y is the dependent variable. The slope of the line is b, and a is the intercept (the value of y when x = 0).
For linear regression Y=a+bx+error.
If neglect error then Y=a+bx. If x increases by 1, then Y = a+b(x+1) which implies Y=a+bx+b. So Y increases by its slope.
For linear regression Y=a+bx+error. If neglect error then Y=a+bx. If x increases by 1, then Y = a+b(x+1) which implies Y=a+bx+b. So Y increases by its slope.
Which one is the incorrect option to share data in Snowflake?
Options for Sharing in Snowflake
You can share data in Snowflake using one of the following options:
* a Listing, in which you offer a share and additional metadata as a data product to one or more ac-counts,
* a Direct Share, in which you directly share specific database objects (a share) to another account in your region,
* a Data Exchange, in which you set up and manage a group of accounts and offer a share to that group.
A Data Scientist as data providers require to allow consumers to access all databases and database objects in a share by granting a single privilege on shared databases. Which one is incorrect SnowSQL command used by her while doing this task?
Assuming:
A database named product_db exists with a schema named product_agg and a table named Item_agg.
The database, schema, and table will be shared with two accounts named xy12345 and yz23456.
1. USE ROLE accountadmin;
2. CREATE DIRECT SHARE product_s;
3. GRANT USAGE ON DATABASE product_db TO SHARE product_s;
4. GRANT USAGE ON SCHEMA product_db. product_agg TO SHARE product_s;
5. GRANT SELECT ON TABLE sales_db. product_agg.Item_agg TO SHARE product_s;
6. SHOW GRANTS TO SHARE product_s;
7. ALTER SHARE product_s ADD ACCOUNTS=xy12345, yz23456;
8. SHOW GRANTS OF SHARE product_s;
CREATE SHARE product_s is the correct Snowsql command to create Share object.
Rest are correct ones.
https://docs.snowflake.com/en/user-guide/data-sharing-provider#creating-a-share-using-sql
Which one is the incorrect option to share data in Snowflake?
Options for Sharing in Snowflake
You can share data in Snowflake using one of the following options:
* a Listing, in which you offer a share and additional metadata as a data product to one or more ac-counts,
* a Direct Share, in which you directly share specific database objects (a share) to another account in your region,
* a Data Exchange, in which you set up and manage a group of accounts and offer a share to that group.
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