Designing and Implementing a Data Science Solution on Azure Exam (DP-100) - Microsoft Exam Questions

You use an Azure Machine Learning workspace. HOTSPOT

You create the following Python code:



For each of the following statements, select Yes if the statement is true. Otherwise, select No.

NOTE: Each correct selection is worth one point.

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 having a fully-utilized compute cluster where the web service is deployed. You need to improve performance of the image classification web service with minimal downtime and minimal administrative effort.

What should you advise the IT Operations team to do?

You are building a machine learning model for translating English language textual content into French language textual content. You need to build and train the machine learning model to learn the sequence of the textual content.

Which type of neural network should you use?

You have an Azure Machine Learning workspace that includes an AmICompute cluster and a batch endpoint. You clone a repository that contains an MLflow model to your local computer. You need to ensure that you can deploy the model to the batch endpoint. Solution: Add a compute resource to the workspace. Does the solution meet the goal?

You manage an Azure Machine Learning workspace. You build an image recognition training pipeline, which includes hyperparameter tuning. For each epoch run, you plan to log the following metrics:

• the transformed images used for training in an existing folder

• a description to explain the hyperparameter changes
You need to configure logging for the experiment.

Which two functions should you use? Each correct answer presents part of the solution. Choose two.

NOTE: Each correct selection is worth one point.