DY0-001 Real Exam Questions

A data scientist is developing a model to predict the outcome of a vote for a national mascot. The choice is between tigers and lions. The full data set represents feedback from individuals representing 17 professions and 12 different locations. The following rank aggregation represents 80% of the data set: Which of the following is the most likely concern about the model's ability to predict the outcome of the vote?

Which of the following distance metrics for KNN is best described as a straight line?

A data scientist is working with a data set that covers a two-year period for a large number of machines. The data set contains: - Machine system ID numbers - Sensor measurement values - Daily time stamps for each machine The data scientist needs to plot the total measurements from all the machines over the entire time period. Which of the following is the best way to present this data?

Given these business requirements: - Needs to most efficiently move 3,000 boxes across a river - Has one boat that holds eight boxes, travels at ten nautical miles per hour, and has a fuel economy of six nautical miles per gallon - Has another boat that holds two boxes, travels at 50 nautical miles per hour, and has a fuel economy of 18 nautical miles per gallon - The river is one nautical mile wide - The data scientist only has access to 125 gallons of fuel Which of the following is the most likely optimization technique a data scientist would apply?

A data analyst is examining the correlation matrix of a new data set to identify issues that could adversely impact model performance. Which of the following is the analyst most likely checking for?