DY0-001 Exam Questions

A data analyst wants to save a newly analyzed data set to a local storage option. The data set must meet the following requirements: - Be minimal in size - Have the ability to be i...

Which of the following is a key difference between KNN and k-means machine-learning techniques?

A data scientist needs to: - Build a predictive model that gives the likelihood that a car will get a flat tire. - Provide a data set of cars that had flat tires and cars that did...

The term "greedy algorithms" refers to machine-learning algorithms that:

What does it mean for two vectors to be linearly independent?

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...

You are provided with a 95% confidence interval for a population mean. What does the confidence level indicate?

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

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...

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...

Which of the following does k represent in the k-means model?

Which of the following techniques enables automation and iteration of code releases?

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?

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...

Which of the following JOINS would generate the largest amount of data?

Why is class imbalance in training data a problem for supervised machine learning algorithms?

Your logistics company relies heavily on location data. How could geocoding be utilized to enhance your operational efficiency?

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...

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...

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?

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...

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...

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...

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...

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...

Which of the following layer sets includes the minimum three layers required to constitute an artificial neural network?

Which of the following best describes the minimization of the residual term in a LASSO linear regression?

A data scientist is building a proof of concept for a commercialized machine-learning model. Which of the following is the best starting point?

Which of the following explains back propagation?

Which of the following is the naive assumption in Bayes' rule?

Which of the following types of machine learning is a GPU most commonly used for?

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...

Which of the following distributions would be best to use for hypothesis testing on a data set with 20 observations?

Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?

Which of the following image data augmentation techniques allows a data scientist to increase the size of a data set?

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...

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...

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...

Which of the following compute delivery models allows packaging of only critical dependencies while developing a reusable asset?

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?

Which of the following belong in a presentation to the senior management team and/or C-suite executives? (Choose two.)

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?

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?

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...

Which of the following best describes the minimization of the residual term in a ridge linear regression?