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Test

Knowledge Check

Mohammed Arif Mazumder 15 preguntas 6.072 visitas

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Preguntas del test (15)

  1. 1Which of these is the last step of an iteration within the CRISP-DM process?
    1. AAnalysis
    2. BDeployment
    3. CModelling
    4. DEvaluation
  2. 2If a model predicts the number of days a customer takes to come back to a company's website, which metric is the most adequate to assess the performance of the model?
    1. ARecall
    2. BAccuracy
    3. CPrecision
    4. DMean absolute error
  3. 3Machine Learning steps generally followed

    1) [blank_start]_________________________[blank_end]

    2) [blank_start]_________________________[blank_end]

    3) [blank_start]_________________________[blank_end]

    4) [blank_start]_________________________[blank_end]
    5) [blank_start]_________________________[blank_end]
    1. AData Ingestion
    2. BPreparing Data
    3. CBuild and Train Models
    4. DModel Deployment
    5. EMonitoring Models
  4. 4A face recognition model for accessing a gym is posing issues because it denies access to too many customers. Why might this be?
    1. AThe model is too sensitive and a higher threshold would solve the problem.
    2. BThe model is too specific and a lower threshold would solve the problem.
    3. CThe model is too specific and a higher threshold would solve the problem.
    4. DThe model is too sensitive and a lower threshold would solve the problem.
  5. 5What is PII?
    1. APublicly Identifiable Information
    2. BPersonally Identifiable Information
    3. CPersonally Identifiable Index
    4. DPublically Incriminating Index
  6. 6What is used to compare the predicted and actual values of a binary classification model?
    1. ACorrelation coefficient
    2. BBLEU score
    3. CR-squared value
    4. DConfusion matrix
  7. 7A weather forecast model must update its predictions first thing in the morning, everyday. It is trained on daily historical data, available publicly, but that data is only refreshed at noon each day, so it is not available at the correct time necessary for updating the model's predictions. How could this problem be solved?
    1. AReplicate the dataset and run the predictions in production with that.
    2. BTrain the model with different data because the model must make inferences using the same type of input data it saw during training.
    3. CReplicate the dataset and train the model with that.
    4. DDo not use the dataset when running the model in production.
  8. 8An online retail company wants to improve the speed at which it analyzes how users interact with its website. What is the most pressing architectural question you would address first?
    1. AWhether the data ingestion processes are event-driven and real time, or nightly batch.
    2. BWhether the data is being put into a data lake before analysis
    3. CWhether processes str in place to clean and preprocess data before storage
    4. DWhether business rules are applied on data in transit or in-situ
  9. 9Which module would you use to evaluate the performance of a binary classifier using scikit-learn?
    1. Asklearn.metrics.r2_score
    2. Bsklearn.metrics.mean_absolute_error
    3. Csklearn.metrics.auc
    4. Dsklearn.metrics.median_absolute_error
  10. 10After sampling 10,000 values of a random variable you observe that the mode, median, and mean are the same. What is the most likely variable distribution?
    1. APoisson distribution
    2. BNormal distribution
    3. CUniform distribution
    4. DLogarithmic distribution

Información

Descripción
Test sobre Knowledge Check, creado por Mohammed Arif Mazumder el 25/04/2020.
Idioma
English
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6.072
Etiquetas
microsoft
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