You are evaluating a completed binary classification machine learning model.
You need to use the precision as the valuation metric.
Which visualization should you use?

You create an Azure Machine Learning workspace named ML-workspace. You also create an Azure Databricks workspace named DB-workspace. DB-workspace contains a cluster named DB-cluster.
You must use DB-cluster to run experiments from notebooks that you import into DB-workspace.
You need to use ML-workspace to track MLflow metrics and artifacts generated by experiments running on DB-cluster. The solution must minimize the need for custom code.
What should you do?

You manage an Azure Al Foundry project. You plan to create a vector index for a RAG solution. You need to build the index remotely by using a script.
Which two data sources can you use? Each correct answer presents a complete solution. Choose two. NOTE:
Each correct selection is worth one point.

You plan to use a Deep Learning Virtual Machine (DLVM) to train deep learning models using Compute Unified Device Architecture (CUDA) computations.
You need to configure the DLVM to support CUDA.
What should you implement?

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?