NO.32 Why do data skews happen in the ML pipeline?

NO.33 Which of the following items should be included in a handover to the end user to enable them to use and run a trained model on their own system? (Select three.)

NO.34 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.35 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?

NO.36 Which of the following is the correct definition of the quality criteria that describes completeness?

NO.37 Which of the following methods can be used to rebalance a dataset using the rebalance design pattern?

NO.38 What is the primary benefit of the Federated Learning approach to machine learning?

NO.39 Which of the following algorithms is an example of unsupervised learning?

NO.40 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.41 Which two techniques are used to build personas in the ML development lifecycle? (Select two.)

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 Workflow design patterns for the machine learning pipelines:

NO.44 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.45 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.46 A healthcare company experiences a cyberattack, where the hackers were able to reverse-engineer a dataset to break confidentiality.
Which of the following is TRUE regarding the dataset parameters?

NO.47 Which of the following approaches is best if a limited portion of your training data is labeled?

NO.48 Which three security measures could be applied in different ML workflow stages to defend them against malicious activities? (Select three.)

NO.49 Which of the following models are text vectorization methods? (Select two.)

NO.50 An HR solutions firm is developing software for staffing agencies that uses machine learning.
The team uses training data to teach the algorithm and discovers that it generates lower employability scores for women. Also, it predicts that women, especially with children, are less likely to get a high-paying job.
Which type of bias has been discovered?

NO.51 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?

NO.52 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?

NO.53 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))