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Which two of the following decrease technical debt in ML systems? (Select two.)
Which two of the following decrease technical debt in ML systems? (Select two.)A . Boundary erosionB . Design anti-patternsC . Documentation readabilityD . Model complexityE . RefactoringView AnswerAnswer: CE Explanation: Technical debt is a metaphor that describes the implied cost of additional work or rework caused by choosing an easy...
Which of the following equations best represent an LI norm?
Which of the following equations best represent an LI norm?A . |x| + |y|B . |x|+|y|^2C . |x|-|y|D . |x|^2+|y|^2View AnswerAnswer: A Explanation: An L1 norm is a measure of distance or magnitude that is defined as the sum of the absolute values of the components of a vector. For...
Personal data should not be disclosed, made available, or otherwise used for purposes other than specified with which of the following exceptions? (Select two.)
Personal data should not be disclosed, made available, or otherwise used for purposes other than specified with which of the following exceptions? (Select two.)A . If it is for a good cause.B . If it was collected accidentally.C . If it was requested by the authority of law.D . If...
Considering that only 1% of the population in the dataset has this disease, which measures will work the BEST to evaluate this model?
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?A . Mean squared errorB . Precision and accuracyC . Precision...
Which of the following describes a typical use case of video tracking?
Which of the following describes a typical use case of video tracking?A . Augmented dreamingB . Medical diagnosisC . Traffic monitoringD . Video compositionView AnswerAnswer: C Explanation: Video tracking is a technique that involves detecting and following moving objects in a video sequence. Video tracking can be used for various...
Which is the best algorithm for this use case?
For a particular classification problem, you are tasked with determining the best algorithm among SVM, random forest, K-nearest neighbors, and a deep neural network. Each of the algorithms has similar accuracy on your data. The stakeholders indicate that they need a model that can convey each feature's relative contribution to...
R-squared is a statistical measure that:
R-squared is a statistical measure that:A . Combines precision and recall of a classifier into a single metric by taking their harmonic mean.B . Expresses the extent to which two variables are linearly related.C . Is the proportion of the variance for a dependent variable thaf’ s explained by independent...
Which of the following principles supports building an ML system with a Privacy by Design methodology?
Which of the following principles supports building an ML system with a Privacy by Design methodology?A . Avoiding mechanisms to explain and justify automated decisions.B . Collecting and processing the largest amount of data possible.C . Understanding, documenting, and displaying data lineage.D . Utilizing quasi-identifiers and non-unique identifiers, alone or...
What caused the biased results?
A company is developing a merchandise sales application The product team uses training data to teach the AI model predicting sales, and discovers emergent bias. What caused the biased results?A . The AI model was trained in winter and applied in summer.B . The application was migrated from on-premise to...
In addition to understanding model performance, what does continuous monitoring of bias and variance help ML engineers to do?
In addition to understanding model performance, what does continuous monitoring of bias and variance help ML engineers to do?A . Detect hidden attacksB . Prevent hidden attacksC . Recover from hidden attacksD . Respond to hidden attacksView AnswerAnswer: A Explanation: Hidden attacks are malicious activities that aim to compromise or...
