DP-100 Exam Question 141

You manage an Azure Al Foundry project. You fine-tune the base model
During evaluation, you observe that the model is overfitting and its responses are highly varying You need to improve the fine-tuned model.
Which hyperparameters should you use? To answer, move the appropriate hyper para meters to the correct requirements. You may use each hyperparameter once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content NOTE: Each correct selection is worth one point.

DP-100 Exam Question 142

You create a multi-class image classification deep learning model.
The model must be retrained monthly with the new image data fetched from a public web portal. You create an Azure Machine Learning pipeline to fetch new data, standardize the size of images, and retrain the model.
You need to use the Azure Machine Learning SDK to configure the schedule for the pipeline.
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.

DP-100 Exam Question 143

You are moving a large dataset from Azure Machine Learning Studio to a Weka environment.
You need to format the data for the Weka environment.
Which module should you use?
  • DP-100 Exam Question 144

    You plan to preprocess text from CSV files. You load the Azure Machine Learning Studio default stop words list.
    You need to configure the Preprocess Text module to meet the following requirements:
    Ensure that multiple related words from a single canonical form.
    Remove pipe characters from text.
    Remove words to optimize information retrieval.
    Which three options should you select? To answer, select the appropriate options in the answer area.
    NOTE: Each correct selection is worth one point.

    DP-100 Exam Question 145

    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?