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Snowflake DSA-C02 Exam Dumps

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Description

Exam Name: SnowPro Advanced: Data Scientist Certification Exam
Exam Code: DSA-C02
Related Certification(s):

  • Snowflake SnowPro Certifications
  • Snowflake SnowPro Advanced Certifications
Certification Provider: Snowflake
Number of DSA-C02 practice questions in our database: 65 
Expected DSA-C02 Exam Topics, as suggested by Snowflake :

  • Module 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.
  • Module 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.
  • Module 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.
  • Module 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.

Q1. Which of the Following is not type of Windows function in Snowflake?

A.Rank-related functions.

B. Window frame functions.

C. Aggregation window functions.

D. Association functions.

Correct Answer: C, D

Q2. Which one is not the feature engineering techniques used in ML data science world?

A.Imputation

B. Binning

C. One hot encoding

D. Statistical

Correct Answer: D

Q3. As Data Scientist looking out to use Reader account, Which ones are the correct considerations about Reader Accounts for Third-Party Access?

A.Reader accounts (formerly known as ''read-only accounts'') provide a quick, easy, and cost-effective way to share data without requiring the consumer to become a Snowflake customer.

B. Each reader account belongs to the provider account that created it.

C. Users in a reader account can query data that has been shared with the reader account, but cannot perform any of the DML tasks that are allowed in a full account, such as data loading, insert, update, and similar data manipulation operations.

D. Data sharing is only possible between Snowflake accounts.

Correct Answer: D

Q4. Mark the correct steps for saving the contents of a DataFrame to a Snowflake table as part of Moving Data from Spark to Snowflake?

A.Step 1.Use the PUT() method of the DataFrame to construct a DataFrameWriter. Step 2.Specify SNOWFLAKE_SOURCE_NAME using the NAME() method. Step 3.Use the dbtable option to specify the table to which data is written. Step 4.Specify the connector options using either the option() or options() method. Step 5.Use the save() method to specify the save mode for the content.

B. Step 1.Use the PUT() method of the DataFrame to construct a DataFrameWriter. Step 2.Specify SNOWFLAKE_SOURCE_NAME using the format() method. Step 3.Specify the connector options using either the option() or options() method. Step 4.Use the dbtable option to specify the table to which data is written. Step 5.Use the save() method to specify the save mode for the content.

C. Step 1.Use the write() method of the DataFrame to construct a DataFrameWriter. Step 2.Specify SNOWFLAKE_SOURCE_NAME using the format() method. Step 3.Specify the connector options using either the option() or options() method. Step 4.Use the dbtable option to specify the table to which data is written. Step 5.Use the mode() method to specify the save mode for the content. (Correct)

D. Step 1.Use the writer() method of the DataFrame to construct a DataFrameWriter. Step 2.Specify SNOWFLAKE_SOURCE_NAME using the format() method. Step 3.Use the dbtable option to specify the table to which data is written. Step 4.Specify the connector options using either the option() or options() method. Step 5.Use the save() method to specify the save mode for the content.

Correct Answer: C

Q5. Which ones are the type of visualization used for Data exploration in Data Science?

A.Heat Maps

B. Newton AI

C. Feature Distribution by Class

D. 2D-Density Plots

E. Sand Visualization

Correct Answer: A, D, E

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