How to Prepare for Snowflake SnowPro Advanced - Data Scientist Certification? Snowflake DSA - C02 Certification Made Easy with VMExam.com. Snowflake DSA - C02 Certification Details Exam Code DSA - C02 Full Exam Name Snowflake SnowPro Advanced - Data Scientist No. of Questions 65 Online Practice Exam Snowflake Certified SnowPro Advanced - Data Scientist Practice Test Sample Questions Snowflake DSA - C02 Sample Questions Passing Score 750 + Scaled Scoring from 0 - 1000 Time Limit 115 minutes Exam Fees $375 USD Become successful with VMExam.com Snowflake DSA - C02 Study Guide • Perform enough practice with related SnowPro Advanced - Data Scientist certification on VMExam.com • Understand the Exam Topics very well. • Identify your weak areas from practice test and do more practice with VMExam.com Become successful with VMExam.com Snowflake DSA - C02 Certification Syllabus Syllabus Topics Weight ● Data Science Concepts 15 - 20% ● Data Pipelining 15 - 20% ● Data Preparation and Feature Engineering 30 - 35% ● Model Development 15 - 20% ● Model Deployment 15 - 20% Become successful with VMExam.com Snowflake DSA - C02 Training Details Training: ● Data Science Training ● DSA - C02: SnowPro Advanced: Data Scientist Exam Study Guide Become successful with VMExam.com Snowflake DSA - C02 Sample Questions Become successful with VMExam.com Que.01: Secure Data Sharing do not let you share which of the following selected objects in a database in your account with other Snowflake accounts? Options : a) Sequences b) Tables c) External tables d) Secure UDFs Become successful with VMExam.com Answer a) Sequences Become successful with VMExam.com Que.02: Performance metrics are a part of every machine learning pipeline, Which ones are not the performance metrics used in the Machine learning? Options : a) AU - ROC b) Root Mean Squared Error (RMSE) c) AUM d) R (R - Squared) Become successful with VMExam.com Answer c) AUM Become successful with VMExam.com Que.03: Which type of Machine learning Data Scientist generally used for solving classification and regression problems? Options : a) Unsupervised b) Reinforcement Learning c) Instructor Learning d) Supervised e) Regression Learning Become successful with VMExam.com Answer d) Supervised Become successful with VMExam.com Que.04: Consider a data frame df with 10 rows and index [ 'r1', 'r2', 'r3', 'row4', 'row5', 'row6', 'r7', 'r8', 'r9', 'row10']. What does the expression g = df.groupby(df.index.str.len()) do? Options : a) Groups df based on index values b) Groups df based on length of each index value c) Groups df based on index strings d) Data frames cannot be grouped by index values Hence it results in Error Become successful with VMExam.com Answer d) Data frames cannot be grouped by index values. Hence it results in Error. Become successful with VMExam.com Que.05: How do you handle missing or corrupted data in a dataset? Options : a) Drop missing rows or columns b) Replace missing values with mean/median/mode c) Assign a unique category to missing values d) All of the above Become successful with VMExam.com Answer d) All of the above Become successful with VMExam.com Snowflake SnowPro Advanced - Data Scientist Certification Guide • The Snowflake Certification is increasingly becoming important for the career of employees. • Try our SnowPro Advanced - Data Scientist mock test. Become successful with VMExam.com More Info on Snowflake Certification Visit www.vmexam.com Become successful with VMExam.com