Dec-2023 Pass Your AIP-210 Exam at the First Try with 100% Real Exam [Q38-Q53]

NO.38 Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?

NO.39 A data scientist is tasked to extract business intelligence from primary data captured from the public. Which of the following is the most important aspect that the scientist cannot forget to include?

NO.40 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?

NO.41 In general, models that perform their tasks:

NO.42 An AI practitioner incorporates risk considerations into a deployment plan and decides to log and store historical predictions for potential, future access requests.
Which ethical principle is this an example of?

NO.43 Which of the following algorithms is an example of unsupervised learning?

NO.44 Which of the following scenarios is an example of entanglement in ML pipelines?

NO.45 Which of the following best describes distributed artificial intelligence?

NO.46 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?

NO.47 Which of the following models are text vectorization methods? (Select two.)

NO.48 When should you use semi-supervised learning? (Select two.)

NO.49 Which of the following is a common negative side effect of not using regularization?

NO.50 Which of the following is NOT an activation function?

NO.51 Your dependent variable data is a proportion. The observed range of your data is 0.01 to 0.99. The instrument used to generate the dependent variable data is known to generate low quality data for values close to 0 and close to 1. A colleague suggests performing a logit-transformation on the data prior to performing a linear regression. Which of the following is a concern with this approach?
Definition of logit-transformation
If p is the proportion: logit(p)=log(p/(l-p))

NO.52 Which of the following is NOT a valid cross-validation method?

NO.53 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.