Q18. Which of the following is the primary purpose of hyperparameter optimization?

Q19. Which of the following pieces of AI technology provides the ability to create fake videos?

Q20. Word Embedding describes a task in natural language processing (NLP) where:

Q21. Why do data skews happen in the ML pipeline?

Q22. A market research team has ratings from patients who have a chronic disease, on several functional, physical, emotional, and professional needs that stay unmet with the current therapy. The dataset also captures ratings on how the disease affects their day-to-day activities.
A pharmaceutical company is introducing a new therapy to cure the disease and would like to design their marketing campaign such that different groups of patients are targeted with different ads. These groups should ideally consist of patients with similar unmet needs.
Which of the following algorithms should the market research team use to obtain these groups of patients?

Q23. Which of the following are true about the transform-design pattern for a machine learning pipeline? (Select three.) It aims to separate inputs from features.

Q24. 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?

Q25. A change in the relationship between the target variable and input features is

Q26. 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?

Q27. Which three security measures could be applied in different ML workflow stages to defend them against malicious activities? (Select three.)

Q28. Which of the following algorithms is an example of unsupervised learning?

Q29. Which of the following metrics is being captured when performing principal component analysis?

Q30. You are developing a prediction model. Your team indicates they need an algorithm that is fast and requires low memory and low processing power. Assuming the following algorithms have similar accuracy on your data, which is most likely to be an ideal choice for the job?

Q31. What is Word2vec?

Q32. In general, models that perform their tasks:

Q33. Which two of the following criteria are essential for machine learning models to achieve before deployment?
(Select two.)

Q34. Which of the following is a common negative side effect of not using regularization?