Which of the following distance metrics for KNN is best described as a straight line?

• A.Radial
• B.Euclidean
• C.Cosine
• D.Manhattan

Comment: *

Name: *

Email: *

Verification: *

A data scientist is attempting to identify sentences that are conceptually similar to each other within a set of text files. Which of the following is the best way to prepare the data set to accomplish this task after data ingestion?

• A.Embeddings
• B.Extrapolation
• C.Sampling
• D.One-hot encoding

Comment: *

Name: *

Email: *

Verification: *

A data scientist observes findings that indicate that as electrical grids in a country become more and more connected over time, the frequency of brownouts and blackouts in total decrease, and the frequency of major brownouts and blackouts increase. Which of the following distribution metrics could best be identified?

• A.Scale axis magnitudes
• B.Kurtosis
• C.Skewness
• D.Normality

Comment: *

Name: *

Email: *

Verification: *

Given the equation:

Xt = # + #1Xt#1 + #t, where #t # N(0, ##²)
Which of the following time series models best represents this process?

• A.ARIMA(1,1,1)
• B.ARMA(1,1)
• C.SARIMA(1,1,1) × (1,1,1)1
• D.AR(1)

Comment: *

Name: *

Email: *

Verification: *

A data scientist is building an inferential model with a single predictor variable. A scatter plot of the independent variable against the real-number dependent variable shows a strong relationship between them. The predictor variable is normally distributed with very few outliers. Which of the following algorithms is the best fit for this model, given the data scientist wants the model to be easily interpreted?

• A.A linear regression
• B.An exponential regression
• C.A logistic regression
• D.A probit regression

Comment: *

Name: *

Email: *

Verification: *