Microsoft DP-100 Practice Test - Questions Answers, Page 45

You manage an Azure Al Foundry project. You build a multi-turn chatbot application.

You plan to filter your traces to identity 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?

DRAG DROP

You have an Azure AI Foundry project with a connected Azure OpenAI Service model.

You have a set of text files stored locally on your computer.

You must set up a flow that will generate responses based on the content of your local files.

You need to implement a solution.

Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

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 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 ate 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?

DRAG DROP

You design a project for interactive data mangling with Apache Spark in an Azure Machine Learning workspace. The data pipeline must provide the following solution:

* Ingest and process a vast amount of data from various sources and linked services, such as databases and APIs

* Visualize the results in Microsoft Power Bl.

* Include a possibility to quickly identify and address issues by observing only a small amount of data using the fewest resources.

You need to select a computation option for project activities.

You manage an Azure Machine Learning workspace. You develop a regression model training pipeline by using Notebooks. You need to determine the appropriate evaluation metric for the experiment.

Which two metrics should you choose? Each correct answer presents a complete solution. Choose two. NOTE: Each correct selection is worth one point.

You have an Azure Machine Learning workspace. You connect to a terminal session from the Notebooks page in Azure Machine Learning studio. You plan to add a new Jupyter kernel that will be accessible from the same terminal session. You need to perform the task that must be completed before you can add the new kernel.

Solution: Create a compute instance.

Does the solution meet the goal?

You manage an Azure Al 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?