DP-100 V1

DRAG DROP You create machine learning models by using Azure Machine Learning. You plan to train and score models by using a variety of compute contexts. You also plan to create a new compute resource in Azure Machine Learning studio. You need to select the appropriate compute types. Which compute...

You use the Azure Machine Learning designer to create and run a training pipeline. The pipeline must be run every night to inference predictions from a large volume of files. The folder where the files will be stored is defined as a dataset. You need to publish the pipeline as...

You need to implement a model development strategy to determine a user’s tendency to respond to an ad. Which technique should you use?A . Use a Relative Expression Split module to partition the data based on centroid distance. B. Use a Relative Expression Split module to partition the data based...

You deploy a real-time inference service for a trained model. The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates. You need to implement a monitoring solution for the deployed model...

You are evaluating a completed binary classification machine learning model. You need to use the precision as the valuation metric. Which visualization should you use?A . Binary classification confusion matrix B. box plot C. Gradient descent D. coefficient of determinationView AnswerAnswer: A Explanation: References: https://machinelearningknowledge.ai/confusion-matrix-and-performance-metrics-machine- learning/

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution. After you...

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...