DY0-001 practice questions 51–60

1. Question 51 · 82 in bank

   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?

   • ALinear discriminant analysis
   • Bk-means modeling
   • CLatent semantic analysis
   • DPrincipal component analysis

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   Answer: A

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2. Question 52 · 82 in bank

   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 best for the data scientist to use?

   • AOLS
   • BRidge
   • CWeighted least squares
   • DLASSO

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   Answer: D

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3. Question 53 · 82 in bank

   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 of 995 on the holdout set and an adjusted R2 of .75. The benchmark model has an RMSE of 1,000 on the holdout set. Which of the following is the best business statement regarding the new model?

   • AThe model should be deployed because it has a lower RMSE.
   • BThe model's adjusted R2 is exceptionally strong for such a complex relationship.
   • CThe model fails to improve meaningfully on the benchmark model.
   • DThe model's adjusted R2 is too low for the real estate industry.

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   Answer: C

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4. Question 54 · 82 in bank

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

   • AAn input layer, a pooling layer, and an output layer
   • BAn input layer, a convolutional layer, and a hidden layer
   • CAn input layer, a hidden layer, and an output layer
   • DAn input layer, a dropout layer, and a hidden layer

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   Answer: C

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5. Question 55 · 82 in bank

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

   • A|e|
   • Be
   • C0
   • De2

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   Answer: D

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6. Question 56 · 82 in bank

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

   • ALiterature review
   • BModel performance evaluation
   • CHyperparameter tuning
   • DModel selection

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   Answer: A

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7. Question 57 · 82 in bank

   A data scientist is standardizing a large data set that contains website addresses. A specific string inside some of the web addresses needs to be extracted. Which of the following is the best method for extracting the desired string from the text data?

   • ARegular expressions
   • BNamed-entity recognition
   • CLarge language model
   • DFind and replace

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   Answer: A

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8. Question 58 · 82 in bank

   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?

   • AAdjusted R2
   • Bp value
   • Cx2
   • DR2

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   Answer: A

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9. Question 59 · 82 in bank

   A team is building a spam detection system. The team wants a probability-based identification method without complex, in-depth training from the historical data set. Which of the following methods would best serve this purpose?

   • ALogistic regression
   • BRandom forest
   • CNaive Bayes
   • DLinear regression

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   Answer: C

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10. Question 60 · 82 in bank

    A data scientist is using the following confusion matrix to assess model performance:

    

    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 an hour in planning and scheduling of maintenance work. Every time the model is wrong, the company loses four hours of delivery time for the truck. Which of the following is the net model impact for the company?

    • A25 hours lost
    • B25 hours saved
    • C165 hours lost
    • D165 hours saved

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    Answer: A

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DY0-001 practice, question 51. 82 questions available.