DY0-001 Exam Questions
92 real DY0-001 exam questions with expert-verified answers and explanations. Page 2 of 2.
- Question #54
The term "greedy algorithms" refers to machine-learning algorithms that:
- Question #55
What does it mean for two vectors to be linearly independent?
- Question #56
After building several predictive models to identify potential financial fraud, Juan needs to select the best model based on its performance. Which phase of the CRISP-DM framework...
- Question #57
You are provided with a 95% confidence interval for a population mean. What does the confidence level indicate?
- Question #58
Which of the following distance metrics for KNN is best described as a straight line?
- Question #59
A data scientist is building a forecasting model for the price of copper. The only input in this model is the daily price of copper for the last ten years. Which of the following f...
- Question #60
An analyst wants to show how the component pieces of a company's business units contribute to the company's overall revenue. Which of the following should the analyst use to best d...
- Question #61
Which of the following does k represent in the k-means model?
- Question #62
Which of the following techniques enables automation and iteration of code releases?
- Question #63
In a modeling project, people evaluate phrases and provide reactions as the target variable for the model. Which of the following best describes what this model is doing?
- Question #64
A computer vision model is trained to identify cats on a training set that is composed of both cat and dog images. The model predicts a picture of a cat is a dog. Which of the foll...
- Question #65
Which of the following JOINS would generate the largest amount of data?
- Question #66
Why is class imbalance in training data a problem for supervised machine learning algorithms?
- Question #67
Your logistics company relies heavily on location data. How could geocoding be utilized to enhance your operational efficiency?
- Question #68
Karen is using a linear regression model for her research. During her analysis, she suspects that the error terms in her model might be correlated, which could violate an important...
- Question #69
A data scientist has built an image recognition model that distinguishes cars from trucks. The data scientist now wants to measure the rate at which the model correctly identifies...
- Question #70
A data analyst wants to generate the most data using tables from a database. Which of the following is the best way to accomplish this objective?
- Question #71
A data scientist is building a model to predict customer credit scores based on information collected from reporting agencies. The model needs to automatically adjust its parameter...
- Question #72
A data scientist is creating a responsive model that will update a product's daily pricing based on the previous day's sales volume. Which of the following resource constraints is...
- Question #73
A data scientist wants to predict a person's travel destination. The options are: - Branson, Missouri, United States - Mount Kilimanjaro, Tanzania - Disneyland Paris, Paris, France...
- Question #74
A data scientist is working with a data set that has ten predictors and wants to use only the predictors that most influence the results. Which of the following models would be the...
- Question #75
A data scientist uses a large data set to build multiple linear regression models to predict the likely market value of a real estate property. The selected new model has an RMSE o...
- Question #76
Which of the following layer sets includes the minimum three layers required to constitute an artificial neural network?
- Question #77
Which of the following best describes the minimization of the residual term in a LASSO linear regression?
- Question #78
A data scientist is building a proof of concept for a commercialized machine-learning model. Which of the following is the best starting point?
- Question #79
Which of the following explains back propagation?
- Question #80
Which of the following is the naive assumption in Bayes' rule?
- Question #81
Which of the following types of machine learning is a GPU most commonly used for?
- Question #82
A data scientist is attempting to identify sentences that are conceptually similar to each other within a set of text files. Which of the following is the best way to prepare the d...
- Question #83
Which of the following distributions would be best to use for hypothesis testing on a data set with 20 observations?
- Question #84
Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?
- Question #85
Which of the following image data augmentation techniques allows a data scientist to increase the size of a data set?
- Question #86
A data scientist receives an update on a business case about a machine that has thousands of error codes. The data scientist creates the following summary statistics profile while...
- Question #87
A company created a very popular collectible card set. Collectors attempt to collect the entire set, but the availability of each card varies, with because some cards have higher p...
- Question #88
A data scientist is deploying a model that needs to be accessed by multiple departments with minimal development effort by the departments. Which of the following APIs would be bes...
- Question #89
Which of the following compute delivery models allows packaging of only critical dependencies while developing a reusable asset?
- Question #90
A data analyst is analyzing data and would like to build conceptual associations. Which of the following is the best way to accomplish this task?
- Question #91
Which of the following belong in a presentation to the senior management team and/or C-suite executives? (Choose two.)
- Question #92
During EDA, a data scientist wants to look for patterns, such as linearity, in the data. Which of the following plots should the data scientist use?
- Question #93
Which of the following distribution methods or models can most effectively represent the actual arrival times of a bus that runs on an hourly schedule?
- Question #94
A data scientist has constructed a model that meets the minimum performance requirements specified in the proposal for a prediction project. The data scientist thinks the model's a...
- Question #95
Which of the following best describes the minimization of the residual term in a ridge linear regression?