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 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. Solid State Drives (SSD) B. Computer Processing Unit (CPU) speed increase by using overclocking...

You are solving a classification task. The dataset is imbalanced. You need to select an Azure Machine Learning Studio module to improve the classification accuracy. Which module should you use?A . Permutation Feature ImportanceB . Filter Based Feature SelectionC . Fisher Linear Discriminant AnalysisD . Synthetic Minority Oversampling Technique (SMOTE)View...

You create a new Azure subscription. No resources are provisioned in the subscription. You need to create an Azure Machine Learning workspace. What are three possible ways to achieve this goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . Run Python code...

An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs. The software engineering team reports there is a heavy inferencing load for the prediction web services during the summer. The production web service for the model fails to meet demand despite...

HOTSPOT You are performing sentiment analysis using a CSV file that includes 12,000 customer reviews written in a short sentence format. You add the CSV file to Azure Machine Learning Studio and configure it as the starting point dataset of an experiment. You add the Extract N-Gram Features from Text...

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...

DRAG DROP You are building an intelligent solution using machine learning models. The environment must support the following requirements: - Data scientists must build notebooks in a cloud environment - Data scientists must use automatic feature engineering and model building in machine learning pipelines. - Notebooks must be deployed to...

You are analyzing a dataset containing historical data from a local taxi company. You are developing a regression model. You must predict the fare of a taxi trip. You need to select performance metrics to correctly evaluate the regression model. Which two metrics can you use? Each correct answer presents...

HOTSPOT You have an Azure blob container that contains a set of TSV files. The Azure blob container is registered as a datastore for an Azure Machine Learning service workspace. Each TSV file uses the same data schema. You plan to aggregate data for all of the TSV files together...