Free EMC D-DS-FN-23 Practice Exam with Questions & Answers | Set: 2

The Scheduler in Hadoop is responsible for allocating compute and memory resources across various applications running on the cluster. It decides how resources are distributed based on policies and availability.

A logarithmic transformation is commonly used to reduce right skewness (long tail to the right) and make data more normally distributed.

A branch in a decision tree represents the outcome of a test or decision on a variable, leading to further splits or classifications based on the test result.

In linear regression, the model output includes coefficients that indicate the relative impact of the input variables on the outcome. These coefficients represent how much each input variable influences the predicted outcome.

In a user-defined aggregate function (UDAF), FFUNC refers to the optional final calculation function. It is used to perform any final calculation or transformation on the aggregated result before it is returned to the user.

MAD in MADlib stands for Multiple Access Design, which is a library for scalable in-database analytics, including machine learning and statistical methods.

The Partial Autocorrelation Function (PACF) is examined to identify the order of the autoregressive (AR) component in an ARIMA model. It helps determine how much of the autocorrelation is explained by previous lags, assisting in selecting the appropriate AR order.