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You have a Python script that executes a pipeline. The script includes the following code:from azureml.core import Experimentpipeline_run = Experiment(ws, 'pipeline_test').submit(pipeline)You want to test the pipeline before deploying the script.You need to display the pipeline run details written to the STDOUT output when the pipeline completes.Which code segment should you add to the test script?
You use Azure Machine Learning to tram a model.You must use Baylean sampling to Tune hyperparaters.You need to select a learning_rate parameter distribution.Which two distributions can you use? Each correct answer presents a complete solution.NOTE Each correct selection is worth one point.
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?
You are performing feature engineering on a dataset.You must add a feature named CityName and populate the column value with the text London.You need to add the new feature to the dataset.Which Azure Machine Learning Studio module should you use?
You create a workspace to include a compute instance by using Azure Machine Learning Studio. You are developing a Python SDK v2 notebook in the workspace. You need to use Intellisense in the notebook. What should you do?
You run Azure Machine Learning training experiments. The training scripts directory contains 100 files that includes a file named. amlignore. The directory also contains subdirectories named. /outputs and./logs.There are 20 files in the training scripts directory that must be excluded from the snapshot to the compute targets. You create a file named. gift ignore in the root of the directory. You add the names of the 20 files to the. gift ignore file. These 20 files continue to be copied to the compute targets.You need to exclude the 20 files. What should you do?
You are analyzing a dataset by using Azure Machine Learning Studio.YOU need to generate a statistical summary that contains the p value and the unique value count for each feature column.Which two modules can you users? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.
You manage an Azure Al Foundry project.You develop a Prompt flow that includes a large language model (LLM) node and an upstream node with a single output. You need to link the LLM node input with the output of the upstream node by using a YAML flow configuration. Which flow configuration should you use?
You plan to use automated machine learning by using Azure Machine Learning Python SDK v2 to train a regression model. You have data that has features with missing values, and categorical features with few distinct values.You need to control whether automated machine learning automatically imputes missing values and encode categorical features as part of the training task. Which enemy of the autumn package should you use?
You are creating a binary classification by using a two-class logistic regression model.You need to evaluate the model results for imbalance.Which evaluation metric should you use?
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