Does the solution meet the goal?

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...

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What should you create?

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

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Does the solution meet the goal?

You train and register an Azure Machine Learning model You plan to deploy the model to an online endpoint You need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model. Solution: Create a managed online endpoint and set the...

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Which technique should you use?

You need to implement a model development strategy to determine a user’s tendency to respond to an ad. Which technique should you use?A . Use a Relative Expression Split module to partition the data based on centroid distance. B. Use a Relative Expression Split module to partition the data based...

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Which technique should you use?

You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit. Which technique should you use?A . Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45. B. Set the threshold to 0.05 and retrain...

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Which parameter should you use?

You are planning to register a trained model in an Azure Machine Learning workspace. You must store additional metadata about the model in a key-value format. You must be able to add new metadata and modify or delete metadata after creation. You need to register the model. Which parameter should...

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What must you do before you deploy the real-time inference pipeline?

You use the Azure Machine Learning designer to create and run a training pipeline. You then create a real-time inference pipeline. You must deploy the real-time inference pipeline as a web service. What must you do before you deploy the real-time inference pipeline?A . Run the real-time inference pipeline. B....

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What should you do?

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...

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Which method should you use?

You need to select a feature extraction method. Which method should you use?A . Mutual information B. Mood’s median test C. Kendall correlation D. Permutation Feature ImportanceView AnswerAnswer: C Explanation: In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter), is a...

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Which module should you use?

You use Azure Machine Learning Studio to build a machine learning experiment. You need to divide data into two distinct datasets. Which module should you use?A . Split Data B. Load Trained Model C. Assign Data to Clusters D. Group Data into BinsView AnswerAnswer: D Explanation: The Group Data into...

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