DY0-001 Dumps for Pass Guaranteed – Pass DY0-001 Exam 2025 [Q38-Q58]

QUESTION 38
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?

QUESTION 39
Given matrix

Which of the following is AT?

QUESTION 40
Which of the following is the layer that is responsible for the depth in deep learning?

QUESTION 41
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 accuracy should be improved, but the proposed deadline is approaching. Which of the following actions should the data scientist take first?

QUESTION 42
Which of the following image data augmentation techniques allows a data scientist to increase the size of a data set?

QUESTION 43
Which of the following issues should a data scientist be most concerned about when generating a synthetic data set?

QUESTION 44
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:

| Number of machines observed | 3,000,000
| Number of unique error codes observed | 19,000
| Median number of unique codes per machine | 7
| Median number of error transactions | 45
Which of the following is the most likely concern with respect to data design for model ingestion?

QUESTION 45
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 not.
All the cars in the data set had sensors taking weekly measurements of tire pressure similar to the sensors that will be installed in the cars consumers drive.
Which of the following is the most immediate data concern?

QUESTION 46
A model’s results show increasing explanatory value as additional independent variables are added to the model. Which of the following is the most appropriate statistic?

QUESTION 47
Which of the following is the naive assumption in Bayes’ rule?

QUESTION 48
A data scientist needs to analyze a company’s chemical businesses and is using the master database of the conglomerate company. Nothing in the data differentiates the data observations for the different businesses.
Which of the following is the most efficient way to identify the chemical businesses’ observations?

QUESTION 49
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
* Sydney Opera House, Sydney, Australia
Which of the following models would best fit this use case?

QUESTION 50
Which of the following describes the appropriate use case for PCA?

QUESTION 51
A data scientist is clustering a data set but does not want to specify the number of clusters present. Which of the following algorithms should the data scientist use?

QUESTION 52
A data scientist built several models that perform about the same but vary in the number of features. Which of the following models should the data scientist recommend for production according to Occam’s razor?

QUESTION 53
A data scientist is merging two tables. Table 1 contains employee IDs and roles. Table 2 contains employee IDs and team assignments. Which of the following is the best technique to combine these data sets?

QUESTION 54
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 55
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 parameters to adapt to recent changes in the information collected. Which of the following is the best model to use?

QUESTION 56
Which of the following methods should a data scientist use just before switching to a potential replacement model?

QUESTION 57
A statistician notices gaps in data associated with age-related illnesses and wants to further aggregate these observations. Which of the following is the best technique to achieve this goal?

QUESTION 58
A data scientist is using the following confusion matrix to assess model performance:
Actually Fails
Actually Succeeds
Predicted to Fail
80%
20%
Predicted to Succeed
15%
85%

The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops.
Every time the model is correct, the company saves 1 hour in planning and scheduling.
Every time the model is wrong, the company loses 4 hours of delivery time.
Which of the following is the net model impact for the company?