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Which one is incorrect understanding about Providers of Direct share?
Which one is incorrect understanding about Providers of Direct share?A . A data provider is any Snowflake account that creates shares and makes them available to other Snowflake accounts to consume.B . As a data provider, you share a database with one or more Snowflake accounts.C . You can create...
Which of the following options?
Data providers add Snowflake objects (databases, schemas, tables, secure views, etc.) to a share using. Which of the following options?A . Grant privileges on objects to a share via Account role.B . Grant privileges on objects directly to a share.C . Grant privileges on objects to a share via a...
How much output variable will change?
In a simple linear regression model (One independent variable), If we change the input variable by 1 unit. How much output variable will change?A . by 1B . no changeC . by interceptD . by its slopeView AnswerAnswer: D Explanation: What is linear regression? Linear regression analysis is used to...
What is the formula for measuring skewness in a dataset?
What is the formula for measuring skewness in a dataset?A . MEAN - MEDIANB . MODE - MEDIANC . (3(MEAN - MEDIAN))/ STANDARD DEVIATIOND . (MEAN - MODE)/ STANDARD DEVIATIONView AnswerAnswer: C Explanation: Since the normal curve is symmetric about its mean, its skewness is zero. This is a theoretical...
Which one is the incorrect option to share data in Snowflake?
Which one is the incorrect option to share data in Snowflake?A . a Listing, in which you offer a share and additional metadata as a data product to one or more accounts.B . a Direct Marketplace, in which you directly share specific database objects (a share) to another account in...
Skewness of Normal distribution is ___________
Skewness of Normal distribution is ___________A . NegativeB . PositiveC . 0D . UndefinedView AnswerAnswer: C Explanation: Since the normal curve is symmetric about its mean, its skewness is zero. This is a theoretical explanation for mathematical proofs, you can refer to books or websites that speak on the same...
Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
Which ones are the type of visualization used for Data exploration in Data Science?
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 VisualizationView AnswerAnswer: A, C, D Explanation: For data exploration in Data Science, visualizations are used to understand the underlying patterns,...
Which of the following method is used for multiclass classification?
Which of the following method is used for multiclass classification?A . one vs restB . loocvC . all vs oneD . one vs anotherView AnswerAnswer: A Explanation: Binary vs. Multi-Class Classification Classification problems are common in machine learning. In most cases, developers prefer using a supervised machine-learning approach to predict...
Which one is not the feature engineering techniques used in ML data science world?
Which one is not the feature engineering techniques used in ML data science world?A . ImputationB . BinningC . One hot encodingD . StatisticalView AnswerAnswer: D Explanation: Feature engineering is the pre-processing step of machine learning, which is used to transform raw data into features that can be used for...
