DP-100

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 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?A . k=0.5B...

You create a batch inference pipeline by using the Azure ML SDK. You run the pipeline by using the following code: from azureml.pipeline.core import Pipeline from azureml.core.experiment import Experiment pipeline = Pipeline(workspace=ws, steps=[parallelrun_step]) pipeline_run = Experiment(ws, 'batch_pipeline').submit(pipeline) You need to monitor the progress of the pipeline execution. What are two...

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 plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations. You need to configure the DLVM to support CUDA. What should you implement? A. Intel Software Guard Extensions (Intel SGX) technology B. Solid State Drives (SSD) C. Graphic...

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...

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 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

You use the following code to define the steps for a pipeline: from azureml.core import Workspace, Experiment, Run from azureml.pipeline.core import Pipeline from azureml.pipeline.steps import PythonScriptStep ws = Workspace.from_config() . . . step1 = PythonScriptStep(name="step1", ...) step2 = PythonScriptsStep(name="step2", ...) pipeline_steps = [step1, step2] You need to add code to...

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. You must not apply an early termination policy. learning_rate: any value between 0.001 and 0.1 • batch_size:...