Model Advanced (2020.27) Assessment

Select all statements that are true about the Data Flow.

Is the following statement True or False? “Master flows contain advanced pipeline and flow logic, multiple data flows, multiple data models, and interactions with various other tools like APIs, command line and messaging.”

Is the following statement True or False? “The Data Model is the semantic model that describes the underlying source data, and is used only by Discover to query the data.”

The Master Flow is a powerful feature that provides users with the flexibility to perform complex data cleansing and manipulation. Which of the following is not a tool within the Master Flow?

Is the following statement True or False? “An Unsupervised learning is a machine learning algorithm that learns under supervision, it contains a model that can predict with the help of a dataset that has a target variable or answer.”

Which of the following are true about Unsupervised learning algorithm? Select all that apply.

Is the following statement True or False? “Clustering is an unsupervised method that works on a dataset with no target outcome nor any known relationship between observations.”

In Pyramid, after K-means clustering has processed, it creates two columns. Which of the following are the two columns created?

The Running Process Type in all the Machine Learning algorithms is defined as the number of times the algorithm should run to calculate the correct results. ‘Accurate’ was selected for all the ML Algorithms. Which of the following is the correct reason for selecting it?

How many clusters where created by the k-means algorithm?

Which of the following is not an advantage of using the Decision Tree algorithm?

Which of the following are disadvantages of using a logistic Regression algorithm? Select all that apply.

“A Hierarchical model, structured using a model that consists of root nodes, branches, internal nodes and leaf nodes” . This is a definition of what?

“It is an algorithm used to get the probability of an event occurring. Whereby it predicts a dependent categorical target variable by having log-odds of a linear combination for 1 or more independent variables “. This is a definition of what?

Which of the following is the correct formula we used for the confusion matrix predictive accuracy?

For the supervised learning use case which was the better algorithm for the use case?