3 Months Free Update
3 Months Free Update
3 Months Free Update
Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?
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?
Which two of the following decrease technical debt in ML systems? (Select two.)
Your dependent variable Y is a count, ranging from 0 to infinity. Because Y is approximately log-normally distributed, you decide to log-transform the data prior to performing a linear regression.
What should you do before log-transforming Y?
An AI system recommends New Year's resolutions. It has an ML pipeline without monitoring components. What retraining strategy would be BEST for this pipeline?
Which of the following sentences is true about model evaluation and model validation in ML pipelines?
Which three security measures could be applied in different ML workflow stages to defend them against malicious activities? (Select three.)
What is the open framework designed to help detect, respond to, and remediate threats in ML systems?
A big data architect needs to be cautious about personally identifiable information (PII) that may be captured with their new IoT system. What is the final stage of the Data Management Life Cycle, which the architect must complete in order to implement data privacy and security appropriately?
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 the model's accuracy. Which is the best algorithm for this use case?
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 change in the relationship between the target variable and input features is
You are building a prediction model to develop a tool that can diagnose a particular disease so that individuals with the disease can receive treatment. The treatment is cheap and has no side effects. Patients with the disease who don't receive treatment have a high risk of mortality.
It is of primary importance that your diagnostic tool has which of the following?
Which of the following sentences is TRUE about the definition of cloud models for machine learning pipelines?
Which of the following pieces of AI technology provides the ability to create fake videos?
Which of the following is the primary purpose of hyperparameter optimization?
Which of the following approaches is best if a limited portion of your training data is labeled?