This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.You are in the process of carrying out feature engineering on a dataset.You want to add a feature to the dataset and fill the column value.Recommendation: You must make use of the Join Data Azure Machine Learning Studio module.Will the requirements be satisfied?
Answer(s): B
This question is included in a number of questions that depicts the identical set-up. However, every question has a distinctive result. Establish if the recommendation satisfies the requirements.You are in the process of carrying out feature engineering on a dataset.You want to add a feature to the dataset and fill the column value.Recommendation: You must make use of the Edit Metadata Azure Machine Learning Studio module.Will the requirements be satisfied?
Typical metadata changes might include marking columns as features.
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/edit-metadata https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/join-data https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/group-categorical-values
You have been tasked with ascertaining if two sets of data differ considerably. You will make use of Azure Machine Learning Studio to complete your task.You plan to perform a paired t-test.Which of the following are conditions that must apply to use a paired t-test? (Choose all that apply.)
Answer(s): B,C
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/test-hypothesis-using-t-test
You want to train a classification model using data located in a comma-separated values (CSV) file.The classification model will be trained via the Automated Machine Learning interface using the Classification task type.You have been informed that only linear models need to be assessed by the Automated Machine Learning.Which of the following actions should you take?
Answer(s): A
https://econml.azurewebsites.net/spec/estimation/dml.htmlhttps://docs.microsoft.com/en-us/azure/machine-learning/how-to-use-automated-ml-for-ml-models
You are preparing to train a regression model via automated machine learning. The data available to you has features with missing values, as well as categorical features with little discrete values.You want to make sure that automated machine learning is configured as follows:-missing values must be automatically imputed.-categorical features must be encoded as part of the training task.Which of the following actions should you take?
Featurization str or FeaturizationConfigValues: 'auto' / 'off' / FeaturizationConfigIndicator for whether featurization step should be done automatically or not, or whether customized featurization should be used.Column type is automatically detected. Based on the detected column type preprocessing/featurization is done as follows:Categorical: Target encoding, one hot encoding, drop high cardinality categories, impute missing values.Numeric: Impute missing values, cluster distance, weight of evidence.DateTime: Several features such as day, seconds, minutes, hours etc.Text: Bag of words, pre-trained Word embedding, text target encoding.
https://docs.microsoft.com/en-us/python/api/azureml-train-automl-client/azureml.train.automl.automlconfig.automlconfig
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