Pass Your Exam With 100% Verified AIP-210 Exam Questions [Q26-Q48]

NO.26 Which of the following principles supports building an ML system with a Privacy by Design methodology?

NO.27 The following confusion matrix is produced when a classifier is used to predict labels on a test dataset. How precise is the classifier?

NO.28 Which of the following is NOT an activation function?

NO.29 Which of the following is a type 1 error in statistical hypothesis testing?

NO.30 Which of the following is TRUE about SVM models?

NO.31 In general, models that perform their tasks:

NO.32 For each of the last 10 years, your team has been collecting data from a group of subjects, including their age and numerous biomarkers collected from blood samples. You are tasked with creating a prediction model of age using the biomarkers as input. You start by performing a linear regression using all of the data over the
10-year period, with age as the dependent variable and the biomarkers as predictors.
Which assumption of linear regression is being violated?

NO.33 Which of the following is the definition of accuracy?

NO.34 You are implementing a support-vector machine on your data, and a colleague suggests you use a polynomial kernel. In what situation might this help improve the prediction of your model?

NO.35

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?

NO.36 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?

NO.37 A classifier has been implemented to predict whether or not someone has a specific type of disease.
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?

NO.38 Which of the following regressions will help when there is the existence of near-linear relationships among the independent variables (collinearity)?

NO.39 Which of the following sentences is true about model evaluation and model validation in ML pipelines?

NO.40 Which of the following can take a question in natural language and return a precise answer to the question?

NO.41 An organization sells house security cameras and has asked their data scientists to implement a model to detect human feces, as distinguished from animals, so they can alert th customers only when a human gets close to their house.
Which of the following algorithms is an appropriate option with a correct reason?

NO.42 Which type of regression represents the following formula: y = c + b*x, where y = estimated dependent variable score, c = constant, b = regression coefficient, and x = score on the independent variable?

NO.43 Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?

NO.44 What is the primary benefit of the Federated Learning approach to machine learning?

NO.45 Which of the following is a privacy-focused law that an AI practitioner should adhere to while designing and adapting an AI system that utilizes personal data?

NO.46 You create a prediction model with 96% accuracy. While the model’s true positive rate (TPR) is performing well at 99%, the true negative rate (TNR) is only 50%. Your supervisor tells you that the TNR needs to be higher, even if it decreases the TPR. Upon further inspection, you notice that the vast majority of your data is truly positive.
What method could help address your issue?

NO.47 Which of the following is the correct definition of the quality criteria that describes completeness?

NO.48 In addition to understanding model performance, what does continuous monitoring of bias and variance help ML engineers to do?