nerdexam
Microsoft

DP-100 · Question #61

Drag and Drop Question You are building an intelligent solution using machine learning models. The environment must support the following requirements: - Data scientists must build notebooks in a clou

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Design and prepare a machine learning solution

Question

Drag and Drop Question 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 retrain using Spark instances with dynamic worker allocation. - Notebooks must be exportable to be version controlled locally. You need to create the environment. Which four 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 order. Answer:

Exhibit

DP-100 question #61 exhibit

Answer Area

Drag items

Install the Azure Machine Learning SDK for Python on the cluster.When the cluster is ready, export Zeppelin notebooks to a local environment.Create and execute a Jupyter notebook by using automated machine learning (AutoML) on the Cluster.Install Microsoft Machine Learning for Apache Spark.When the cluster is ready and has processed the notebook, export your Jupyter notebook to a local environment.Create an Azure HDInsight cluster to include the Apache Spark Mllib library.Create and execute the Zeppelin notebooks on the cluster.Create an Azure Databricks cluster.

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Topics

#Azure Machine Learning#Automated ML#Azure ML Compute#MLOps
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