DP-100

Your team is building a data engineering and data science development environment. The environment must support the following requirements: - support Python and Scala - compose data storage, movement, and processing services into automated data pipelines - the same tool should be used for the orchestration of both data engineering...

You plan to provision an Azure Machine Learning Basic edition workspace for a data science project. You need to identify the tasks you will be able to perform in the workspace. Which three tasks will you be able to perform? Each correct answer presents a complete solution. NOTE: Each correct...

You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?A . Convert to CSVB . Convert to DatasetC . Convert to ARFFD . Convert to SVMLightView AnswerAnswer: C Explanation: Use...

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 workspace. You must create a custom role named DataScientist that meets the following requirements: - Role members must not be able to delete the workspace. - Role members must not be able to create, update, or delete compute resource in the workspace. - Role...

You are developing deep learning models to analyze semi-structured, unstructured, and structured data types. You have the following data available for model building: - Video recordings of sporting events - Transcripts of radio commentary about events - Logs from related social media feeds captured during sporting events You need to...

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 create a deep learning model for image recognition on Azure Machine Learning service using GPU-based training. You must deploy the model to a context that allows for real-time GPU-based inferencing. You need to configure compute resources for model inferencing. Which compute type should you use?A . Azure Container InstanceB...

Question Set 1 You are developing a hands-on workshop to introduce Docker for Windows to attendees. You need to ensure that workshop attendees can install Docker on their devices. Which two prerequisite components should attendees install on the devices? Each correct answer presents part of the solution. NOTE: Each correct...

HOTSPOT You are developing a deep learning model by using TensorFlow. You plan to run the model training workload on an Azure Machine Learning Compute Instance. You must use CUDA-based model training. You need to provision the Compute Instance. Which two virtual machines sizes can you use? To answer, select...