Question 71 · 82 in bank
Which of the following types of machine learning is a GPU most commonly used for?
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Answer: A
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Which of the following types of machine learning is a GPU most commonly used for?
Answer: A
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 data set to accomplish this task after data ingestion?
Answer: A
Which of the following distributions would be best to use for hypothesis testing on a data set with 20 observations?
Answer: D
Which of the following types of layers is used to downsample feature detection when using a convolutional neural network?
Answer: A
Which of the following image data augmentation techniques allows a data scientist to increase the size of a data set?
Answer: B
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 reviewing the logs for each machine:
Which of the following is the most likely concern with respect to data design for model ingestion?
Answer: A
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 production volumes than others. The set contains a total of 12 cards. The attributes of the cards are below:

A data scientist is provided a historical record of cards purchased, which was acquired by a local collectors' association. The data scientist needs to design an initial model iteration to predict whether or not the animal on the card lives in the sea or on land given the provided attributes. Which of the following is the best way to accomplish this task?
Answer: D
A data scientist would like to model a complex phenomenon using a large data set composed of categorical, discrete, and continuous variables. After completing exploratory data analysis, the data scientist is reasonably certain that no linear relationship exists between the predictors and the target. Although the phenomenon is complex, the data scientist still wants to maintain the highest possible degree of interpretability in the final model. Which of the following algorithms best meets this objective?
Answer: B
Which of the following is best solved with graph theory?
Answer: B
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?
Answer: A
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