DP-100

You train and register a model in your Azure Machine Learning workspace. You must publish a pipeline that enables client applications to use the model for batch inferencing. You must use a pipeline with a single ParallelRunStep step that runs a Python inferencing script to get predictions from the input...

You need to resolve the local machine learning pipeline performance issue. What should you do?A . Increase Graphic Processing Units (GPUs).B . Increase the learning rate.C . Increase the training iterations,D . Increase Central Processing Units (CPUs).View AnswerAnswer: A

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 an Azure Machine Learning compute resource to train models. The compute resource is configured as follows: ✑ Minimum nodes: 2 ✑ Maximum nodes: 4 You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values: ✑ Minimum nodes: 0 ✑...

You are creating a binary classification by using a two-class logistic regression model. You need to evaluate the model results for imbalance. Which evaluation metric should you use?A . Relative Absolute ErrorB . AUC CurveC . Mean Absolute ErrorD . Relative Squared ErrorView AnswerAnswer: B Explanation: One can inspect the...

HOTSPOT You need to build a feature extraction strategy for the local models. How should you complete the code segment? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer:

HOTSPOT You need to identify the methods for dividing the data according, to the testing requirements. Which properties should you select? To answer, select the appropriate option-, m the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer:

You run an experiment that uses an AutoMLConfig class to define an automated machine learning task with a maximum of ten model training iterations. The task will attempt to find the best performing model based on a metric named accuracy. You submit the experiment with the following code: You need...

Topic 2, Case Study 2 Case study Overview You are a data scientist for Fabrikam Residences, a company specializing in quality private and commercial property in the United States. Fabrikam Residences is considering expanding into Europe and has asked you to investigate prices for private residences in major European cities....

You plan to use a Data Science Virtual Machine (DSVM) with the open source deep learning frameworks Caffe2 and PyTorch. You need to select a pre-configured DSVM to support the frameworks. What should you create?A . Data Science Virtual Machine for Windows 2012B . Data Science Virtual Machine for Linux...