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You manage an Azure Machine Learning workspace. You have a folder that contains a CSV file. The Folder is registered as a folder data asset. You plan to use the folder data asset for data wrangling during interactive development. You need to access and load the folder data asset into a Pandas data frame. Which method should you use to achieve this goal?

You manage an Azure Machine Learning workspace. The workspace includes an Azure Machine Learning Kubernetes compute target configured as an Azure Kubernetes Service (AKS) cluster named AKS1. AKS1 Is configured to enable the targeting of different nodes to train workloads. You must run a command job on AKS1 by using the Azure ML Python SDK v2. The command job must Select different types of compute nodes. The compute node types must be specified by using a command Parameter. You need to configure the command parameter. Which parameter should you use?

You manage an Azure Machine Learning workspace named Workspace1. You plan to create a pipeline in the Azure Machine Learning Studio designer. The pipeline must include a Custom component. You need to ensure the custom component can be used in the pipeline. What should you do first?

You manage an Azure Machine Learning workspace. You plan to train a natural language processing (NLP) text classification model in multiple languages by Using Azure Machine Learning Python SDK v2. You need to configure the language of the text classification job by using automated machine learning. Which method of the TextClassificationJob class should you use?

You have an Azure Machine Learning workspace named WS1. You plan to use the Responsible AI dashboard to assess MLflow models that you will register in WS1. You need to identify the library you should use to register the MLflow models. Which library should you use?

You manage an Azure Machine Learning workspace. You build an Azure Machine Learning pipeline for image classification by using custom components. You need to define the interface, metadata, and code to execute components from a Python function. Which function should you use?

You have an Azure subscription named Sub1 that contains an Azure Machine Learning workspace named

Workspace1. Workspace1 contains the following assets:

a registered MLflow model named Model1

an online endpoint named Endpoint1

Outbound network connectivity from Endpoint1 is blocked.

You need to deploy Model1 to Endpoint1.

What should you do first?

A.

B.

C.

D

You create an Azure Machine Learning workspace named workspace1. The workspace contains a Python SDK v2 notebook that uses MLflow to collect model training metrics and artifacts from your local computer. You must reuse the notebook to run on Azure Machine Learning compute instance in workspace1. You need to continue to log metrics and artifacts from your data science code. What should you do?

You create an Azure Machine learning workspace. You must use the Azure Machine Learning Python SDK v2 to define the search space for discrete Hyperparameters. The hyperparameters must consist of a list of predetermined, comma-separated integer Values. You need to import the class from the azure.ai.ml.sweep package used to create the list of values. Which class should you import?

You have an Azure Machine Learning workspace. You plan to tune a model hyperparameter when you train the model. You need to define a search space that returns a normally distributed value. Which parameter 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 enum of the automl package should you use?

You manage an Azure Machine Learning workspace. You design a training job that is configured with a Serverless compute. The serverless compute must have a specific instance type and count. You need to configure the serverless compute by using Azure Machine Learning Python SDK v2. What should you do?

You are designing a training job in an Azure Machine Learning workspace by using Automated ML. During training, the compute resource must scale up to handle larger datasets. You need to select the compute resource that has a multi-node cluster that automatically scales. Which Azure Machine Learning compute target should you use?

You manage an Azure AI 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 manage an Azure AI Foundry project. You build a multi-turn chatbot application. You plan to filter your traces to identify issues while observing how the application is responding. The Solution must not use an external knowledge base. You need to select an evaluation metric. Which built-in evaluator should you use? 选项不同，

You have an Azure AI Foundry project and a CSV file stored in Azure Blob Storage. You plan to add the CSV file as the grounding data to the project for RAG by using the file data type. You need to specify the URL schema to designate the blob location. Which URL schema should you specify?

You manage an Azure AI Foundry project. You need to develop a solution that uses an Azure OpenAI Service model designed to support reasoning And problem solving. Which model should you use?

You have fine-tuned an Azure OpenAI Service model by using the Azure AI Foundry portal. The fine-tuned model is overfitting. You plan to correct overfitting by fine-tuning the model again. You need to modify the default value of a fine-tuning task parameter to minimize the possibility of Overfitting. Which modification should you apply?

You manage an Azure Machine Learning workspace. You build a model for which you must configure a Responsible AI dashboard. Based on what you learn from the dashboard, you must perform the following activities: Determine what must be done to get a desirable outcome from the model. Identify the features that have the most direct effect on your outcome of interest. You need to select the components to use for the Responsible AI dashboard configuration. Which two components should you add? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

You create an Azure Machine Learning managed compute resource. The compute resource is configured As follows: Minimum nodes: 2 Maximum nodes: 4 You must decrease the minimum number of nodes and increase the maximum number of nodes to the Following values: Minimum nodes: 0 Maximum nodes: 8 You need to reconfigure the compute resource. Which three methods can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

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