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Snowflake DSA-C02 Practice Test - Questions Answers, Page 7

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Question 61

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Which metric is not used for evaluating classification models?

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Question 62

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You previously trained a model using a training dataset. You want to detect any data drift in the new data collected since the model was trained.

What should you do?

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Question 63

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You are training a binary classification model to support admission approval decisions for a college degree program.

How can you evaluate if the model is fair, and doesn't discriminate based on ethnicity?

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Question 64

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Which tools helps data scientist to manage ML lifecycle & Model versioning?

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Question 65

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Mark the incorrect statement regarding usage of Snowflake Stream & Tasks?

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Total 65 questions
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Related questions

Mark the incorrect statement regarding usage of Snowflake Stream & Tasks?
Consider a data frame df with columns ['A', 'B', 'C', 'D'] and rows ['r1', 'r2', 'r3']. What does the ex-pression df[lambda x : x.index.str.endswith('3')] do?
Which method is used for detecting data outliers in Machine learning?
Which Python method can be used to Remove duplicates by Data scientist?
Which one is not Types of Feature Scaling?
Which of the following metrics are used to evaluate classification models?
Consider a data frame df with 10 rows and index [ 'r1', 'r2', 'r3', 'row4', 'row5', 'row6', 'r7', 'r8', 'r9', 'row10']. What does the aggregate method shown in below code do? g = df.groupby(df.index.str.len()) g.aggregate({'A':len, 'B':np.sum})
Data Scientist can query, process, and transform data in a which of the following ways using Snowpark Python. [Select 2]
Mark the correct steps for saving the contents of a DataFrame to a Snowflake table as part of Moving Data from Spark to Snowflake?
Which one is not the types of Feature Engineering Transformation?