SnowPro Advanced: Data Scientist Certification Dumps Questions – Snowflake DSA-C02 Exam Dumps Online

The SnowPro Advanced: Data Scientist Certification Exam is a prestigious certification offered by Snowflake. It is designed to test advanced knowledge and skills in applying comprehensive data science principles, tools, and methodologies using Snowflake. By successfully passing the DSA-C02 exam, you can pave your way to well-paying jobs and promotions in the field of data science. At DumpsBase, we offer real Snowflake DSA-C02 exam dumps that maximize your preparation time and improve your chances of passing the SnowPro Advanced Certification DSA-C02 exam in one go. Our exam dumps provide you with a comprehensive collection of actual exam questions that are highly likely to appear in the real DSA-C02 exam. By practicing with these questions, you not only familiarize yourself with the exam format but also gain a deeper understanding of the topics and concepts covered.

SnowPro Advanced: Data Scientist Certification Exam – DSA-C02 Free Demo

1. Which type of Machine learning Data Scientist generally used for solving classification and regression problems?

2. Which of the learning methodology applies conditional probability of all the variables with respective the dependent variable?

3. In a simple linear regression model (One independent variable), If we change the input variable by 1 unit.

How much output variable will change?

4. There are a couple of different types of classification tasks in machine learning, Choose the Correct Classification which best categorized the below Application Tasks in Machine learning?

・ To detect whether email is spam or not

・ To determine whether or not a patient has a certain disease in medicine.

・ To determine whether or not quality specifications were met when it comes to QA (Quality Assurance).

5. Which of the following method is used for multiclass classification?

6. Which ones are the key actions in the data collection phase of Machine learning included?

7. Which ones are the type of visualization used for Data exploration in Data Science?

8. Which one is not the feature engineering techniques used in ML data science world?

9. Skewness of Normal distribution is ___________

10. What is the formula for measuring skewness in a dataset?

11. What Can Snowflake Data Scientist do in the Snowflake Marketplace as Provider?

12. What Can Snowflake Data Scientist do in the Snowflake Marketplace as Consumer?

13. Which one is the incorrect option to share data in Snowflake?

14. Data providers add Snowflake objects (databases, schemas, tables, secure views, etc.) to a share using.

Which of the following options?

15. Secure Data Sharing do not let you share which of the following selected objects in a database in your account with other Snowflake accounts?

16. Which one is incorrect understanding about Providers of Direct share?

17. As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?

18. SHOW GRANTS OF SHARE product_s;

19. Which object records data manipulation language (DML) changes made to tables, including inserts, updates, and deletes, as well as metadata about each change, so that actions can be taken using the changed data of Data Science Pipelines?

20. 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?


 

 

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