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Questions › Category: DP-100
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You are performing a filter-based feature selection for a dataset to build a multi-class classifier by using Azure Machine Learning Studio. The dataset contains categorical features that are highly correlated to the output label column. You need to select the appropriate feature scoring statistical method to identify the key predictors. Which method should you use?
Admin asked 9 months ago • 
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HOTSPOT – You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model. You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements: ✑ The learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3. ✑ Batch size must be 16, 32 and 64. ✑…
Admin asked 9 months ago • 
23 views0 answers0 votes
You plan to use automated machine learning to train a regression model. You have data that has features which have missing values, and categorical features with few distinct values. You need to configure automated machine learning to automatically impute missing values and encode categorical features as part of the training task. Which parameter and value pair should you use in the AutoMLConfig class?
Admin asked 9 months ago • 
22 views0 answers0 votes
You are building a regression model for estimating the number of calls during an event. You need to determine whether the feature values achieve the conditions to build a Poisson regression model. Which two conditions must the feature set contain? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Admin asked 9 months ago • 
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DRAG DROP – You create a training pipeline using the Azure Machine Learning designer. You upload a CSV file that contains the data from which you want to train your model. You need to use the designer to create a pipeline that includes steps to perform the following tasks: ✑ Select the training features using the pandas filter method. ✑ Train a model based on the naive_bayes.GaussianNB algorithm. ✑ Return…
Admin asked 9 months ago • 
22 views0 answers0 votes
You are creating a new experiment in Azure Machine Learning Studio.One class has a much smaller number of observations than the other classes in the training set.You need to select an appropriate data sampling strategy to compensate for the class imbalance.Solution: You use the Principal Components Analysis (PCA) sampling mode.Does the solution meet the goal?
Admin asked 9 months ago • 
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You are performing feature engineering on a dataset. You must add a feature named CityName and populate the column value with the text London. You need to add the new feature to the dataset. Which Azure Machine Learning Studio module should you use?
Admin asked 9 months ago • 
28 views0 answers0 votes
You are solving a classification task. You must evaluate your model on a limited data sample by using k-fold cross-validation. You start by configuring a k parameter as the number of splits. You need to configure the k parameter for the cross-validation. Which value should you use?
Admin asked 9 months ago • 
23 views0 answers0 votes
DRAG DROP – You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format: age,city,income,home_owner 21,Chicago,50000,0 35,Seattle,120000,1 23,Seattle,65000,0 45,Seattle,130000,1 18,Chicago,48000,0 You need to run an experiment in your Azure Machine Learning workspace to explore the data and log the results. The experiment must log the following information: ✑ the number of observations in the dataset ✑ a box…
Admin asked 9 months ago • 
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You register a file dataset named csv_folder that references a folder. The folder includes multiple comma-separated values (CSV) files in an Azure storage blob container. You plan to use the following code to run a script that loads data from the file dataset. You create and instantiate the following variables: You have the following code: You need to pass the dataset to ensure that the script can read the files…
Admin asked 9 months ago • 
25 views0 answers0 votes
You use the Azure Machine Learning service to create a tabular dataset named training_data. You plan to use this dataset in a training script. You create a variable that references the dataset using the following code: training_ds = workspace.datasets.get("training_data") You define an estimator to run the script. You need to set the correct property of the estimator to ensure that your script can access the training_data dataset. Which property should…
Admin asked 9 months ago • 
21 views0 answers0 votes
You are creating a new Azure Machine Learning pipeline using the designer. The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a website. You have not created a dataset for this file. You need to ingest the data from the CSV file into the designer pipeline using the minimal administrative effort. Which module should you add to the pipeline in Designer?
Admin asked 9 months ago • 
19 views0 answers0 votes
You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder named train that contains a file named data.csv. You plan to use the file to train a model by using the Azure Machine Learning SDK. You plan to train the model by using the Azure Machine Learning SDK to run an experiment on local compute. You define a DataReference object by…
Admin asked 9 months ago • 
13 views0 answers0 votes
You create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:✑ /data/2018/Q1.csv✑ /data/2018/Q2.csv✑ /data/2018/Q3.csv✑ /data/2018/Q4.csv✑ /data/2019/Q1.csvAll files store data in the following format:id,f1,f2,I1,1,2,02,1,1,13,2,1,04,2,2,1You run the following code:You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:Solution: Run the following code:Does the solution meet the goal?
Admin asked 9 months ago • 
79 views0 answers0 votes
You create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:✑ /data/2018/Q1.csv✑ /data/2018/Q2.csv✑ /data/2018/Q3.csv✑ /data/2018/Q4.csv✑ /data/2019/Q1.csvAll files store data in the following format:id,f1,f2,I1,1,2,02,1,1,13,2,1,04,2,2,1You run the following code:You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:Solution: Run the following code:Does the solution meet the goal?
Admin asked 9 months ago • 
85 views0 answers0 votes
You create an Azure Machine Learning service datastore in a workspace. The datastore contains the following files:✑ /data/2018/Q1.csv✑ /data/2018/Q2.csv✑ /data/2018/Q3.csv✑ /data/2018/Q4.csv✑ /data/2019/Q1.csvAll files store data in the following format:id,f1,f2,I1,1,2,02,1,1,13,2,1,04,2,2,1You run the following code:You need to create a dataset named training_data and load the data from all files into a single data frame by using the following code:Solution: Run the following code:Does the solution meet the goal?
Admin asked 9 months ago • 
70 views0 answers0 votes
You plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hyperparameter values: ✑ learning_rate: any value between 0.001 and 0.1 ✑ batch_size: 16, 32, or 64 You need to configure the search space for the Hyperdrive experiment. Which two parameter expressions should you use? Each correct answer presents part…
Admin asked 9 months ago • 
16 views0 answers0 votes
HOTSPOT – You have a multi-class image classification deep learning model that uses a set of labeled photographs. You create the following code to select hyperparameter values when training the model. For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. Hot Area:
Admin asked 9 months ago • 
24 views0 answers0 votes
HOTSPOT – Your Azure Machine Learning workspace has a dataset named real_estate_data. A sample of the data in the dataset follows. You want to use automated machine learning to find the best regression model for predicting the price column. You need to configure an automated machine learning experiment using the Azure Machine Learning SDK. How should you complete the code? To answer, select the appropriate options in the answer area….
Admin asked 9 months ago • 
16 views0 answers0 votes
You run an automated machine learning experiment in an Azure Machine Learning workspace. Information about the run is listed in the table below: You need to write a script that uses the Azure Machine Learning SDK to retrieve the best iteration of the experiment run. Which Python code segment should you use? A. B. C. D. E.
Admin asked 9 months ago • 
20 views0 answers0 votes
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