DP-100 exam

You create a Python script that runs a training experiment in Azure Machine Learning. The script uses the Azure Machine Learning SDK for Python. You must add a statement that retrieves the names of the logs and outputs generated by the script. You need to reference a Python class object...

You need to implement a feature engineering strategy for the crowd sentiment local models. What should you do?A . Apply an analysis of variance (ANOVA). B. Apply a Pearson correlation coefficient. C. Apply a Spearman correlation coefficient. D. Apply a linear discriminant analysis.View AnswerAnswer: D Explanation: The linear discriminant analysis...

HOTSPOT You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product's category. The product category will always be one of the following: ✑ Bikes ✑ Cars ✑ Vans ✑ Boats You are building a...

DRAG DROP You need to modify the inputs for the global penalty event model to address the bias and variance issue. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct...

You use Azure Machine Learning to train a model. You must use a sampling method for tuning hyperparameters. The sampling method must pick samples based on how the model performed with previous samples. You need to select a sampling method. Which sampling method should you use?A . Grid B. Bayesian...

You register a model that you plan to use in a batch inference pipeline. The batch inference pipeline must use a ParallelRunStep step to process files in a file dataset. The script has the ParallelRunStep step runs must process six input files each time the inferencing function is called. You...

HOTSPOT You are using the Hyperdrive feature in Azure Machine Learning to train a model. You configure the Hyperdrive experiment by running the following code: For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. View...

You create a classification model with a dataset that contains 100 samples with Class A and 10,000 samples with Class B The variation of Class B is very high. You need to resolve imbalances. Which method should you use?A . Partition and Sample B. Cluster Centroids C. Tomek links D....

DRAG DROP You have several machine learning models registered in an Azure Machine Learning workspace. You must use the Fairlearn dashboard to assess fairness in a selected model. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer...

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...