CertNexus Certified Artificial Intelligence Practitioner (CAIP) - AIP-210 Exam Practice Test

You have a dataset with many features that you are using to classify a dependent variable. Because the sample size is small, you are worried about overfitting. Which algorithm is ideal to prevent overfitting?

A dataset can contain a range of values that depict a certain characteristic, such as grades on tests in a class during the semester. A specific student has so far received the following grades: 76,81, 78, 87, 75, and 72.
There is one final test in the semester. What minimum grade would the student need to achieve on the last test to get an 80% average?

Which of the following occurs when a data segment is collected in such a way that some members of the intended statistical population are less likely to be included than others?

What is the open framework designed to help detect, respond to, and remediate threats in ML systems?

In addition to understanding model performance, what does continuous monitoring of bias and variance help ML engineers to do?

Which of the following describes a benefit of machine learning for solving business problems?

You train a neural network model with two layers, each layer having four nodes, and realize that the model is underfit. Which of the actions below will NOT work to fix this underfitting?

You and your team need to process large datasets of images as fast as possible for a machine learning task.
The project will also use a modular framework with extensible code and an active developer community.
Which of the following would BEST meet your needs?

The graph is an elbow plot showing the inertia or within-cluster sum of squares on the y-axis and number of clusters (also called K) on the x-axis, denoting the change in inertia as the clusters change using k-means algorithm.
What would be an optimal value of K to ensure a good number of clusters?

Word Embedding describes a task in natural language processing (NLP) where: