Microsoft Updated DP-100 Exam Questions and Answers by taran

You manage an Azure Machine Learning workspace. The Pylhon scrip! named scriptpy reads an argument named training_data. The trainlng.data argument specifies the path to the training data in a file named datasetl.csv.

You plan to run the scriptpy Python script as a command job that trains a machine learning model.

You need to provide the command to pass the path for the datasct as a parameter value when you submit the script as a training job.

Solution: python train.py --training_data training_data

Does the solution meet the goal?

You manage an Azure Machine Learning workspace.

You train a model interactively with a Jupyter Notebook in the workspace During training, a dataset is created with accuiacy and loss metrics for each epoch.

You need to configure model tracking with MLflow to log the dataset created during the training.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

You manage an Azure At Foundry project.

You are implementing a RAG solution. The documents contain tables and images that must be broken into semantically relevant chunks.

You need to generate textual representations of images and tables to be used as chunks.

Which two chunking approaches should you use? Each correct answer presents a complete solution. Choose two.

NOTE: Each correct selection is worth one point.

You write five Python scripts that must be processed in the order specified in Exhibit A – which allows the same modules to run in parallel, but will wait for modules with dependencies.

You must create an Azure Machine Learning pipeline using the Python SDK, because you want to script to create the pipeline to be tracked in your version control system. You have created five PythonScriptSteps and have named the variables to match the module names.

You need to create the pipeline shown. Assume all relevant imports have been done.

Which Python code segment should you use?