DY0-001 practice questions 61–70

1. Question 61 · 82 in bank

   The following graphic shows the results of an unsupervised, machine-learning clustering model:

   

   k is the number of clusters, and n is the processing time required to run the model. Which of the following is the best value of k to optimize both accuracy and processing requirements?

   • A2
   • B10
   • C15
   • D20

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   Answer: B

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2. Question 62 · 82 in bank

   Under perfect conditions, E. coli bacteria would cover the entire earth in a matter of days. Which of the following types of models is the best for explaining this type of growth?

   • ALinear
   • BLogarithmic
   • CPolynomial
   • DExponential

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   Answer: D

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3. Question 63 · 82 in bank

   Which of the following problem-solving approaches is a set of guidelines to handle highly variable and not fully apparent situations?

   • ASchedule
   • BPlan
   • CHeuristic
   • DAlgorithm

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   Answer: C

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4. Question 64 · 82 in bank

   A data analyst is examining the correlation matrix of a new data set to identify issues that could adversely impact model performance. Which of the following is the analyst most likely checking for?

   • AUndersampling
   • BMulticollinearity
   • COversampling
   • DOverfitting

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   Answer: B

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5. Question 65 · 82 in bank

   A data scientist is designing a real-time machine-learning model that classifies a user based on initial behavior. The run times of these models are provided in the following table:

   

   Which of the following models should the data scientist recommend for deployment?

   • AXGBoost
   • BRandom forest
   • CDecision trees
   • DArtificial neural network

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   Answer: B

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6. Question 66 · 82 in bank

   A movie production company would like to find the actors appearing in its top movies using data from the tables below. The resulting data must show all movies in Table 1, enriched with actors listed in Table 2.

   

   Which of the following query operations achieves the desired data set?

   • APerform an INNER JOIN between Table 1 using column Movie, and Table 2 using column Acted_In.
   • BPerform a UNION between Table 1 using column Movie, and Table 2 using column Acted_In.
   • CPerform an INTERSECT between Table 1 using column Movie, and Table 2 using column Acted_In.
   • DPerform a LEFT JOIN on Table 1 using column Movie, with Table 2 using column Acted_In.

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   Answer: D

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7. Question 67 · 82 in bank

   A data scientist is preparing to brief a non-technical audience that is focused on analysis and results. During the modeling process, the data scientist produced the following artifacts: Charts and dashboards - Model performance statistics (accuracy, precision, recall, F1 score, etc.) Mathematical descriptions of clustering algorithms included in the selected model Model selection, justification, and purpose Code documentation - Data dictionary - Which of the following artifacts should the data scientist include in the briefing? (Choose two.)

   • AFinal charts and dashboards
   • BModel selection, justification, and purpose
   • CCode documentation
   • DMathematical descriptions of clustering algorithms included in the selected model
   • EModel performance statistics (accuracy, precision, recall, F1 score, etc.)
   • FData dictionary

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   Answer: A

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8. Question 68 · 82 in bank

   A data scientist has built a model that provides the likelihood of an error occurring in a factory. The historical accuracy of the model is 90%. At a specific factory, the model is reporting a likelihood score of 0.90. Which of the following explains a confidence score of 0.90?

   • ARunning this model for all known factory issues, it is expected the model will identify 90 out of 100 known factory issues.
   • BRunning this model on 100 samples of factories, a certain model performance is expected for 90 out of the 100 samples.
   • CRunning this model 100 times on a factory, it is expected the model will predict 90 out of 100 factory errors.
   • DRunning this model 100 times within a factory, it is expected the model will predict error 90 out of 100 times the model is ran.

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   Answer: D

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9. Question 69 · 82 in bank

   An analyst is examining data from an array of temperature sensors and sees that one sensor consistently returns values that are much higher than the values from the other sensors. Which of the following terms best describes this type of error?

   • ASynthetic
   • BSystematic
   • CHeteroskedastic
   • DIdiosyncratic

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   Answer: B

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10. Question 70 · 82 in bank

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

    • ANormal distribution
    • BIndependence
    • CUniform distribution
    • DHomoskedasticity

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    Answer: B

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DY0-001 practice, question 61. 82 questions available.