Question 1 of 30
A data scientist is tasked with developing a machine learning model to predict customer churn for a subscription-based service. The team decides to use Azure Machine Learning for this purpose. They have access to various tools within the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, and Azure Cognitive Services. Which combination of tools would best facilitate the data preparation, model training, and deployment process while ensuring scalability and integration with existing data pipelines?
Azure Databricks for data preparation, Azure Machine Learning for model training, and Azure Kubernetes Service for deployment
Azure Synapse Analytics for data preparation, Azure Cognitive Services for model training, and Azure Functions for deployment
Azure Cognitive Services for data preparation, Azure Databricks for model training, and Azure Logic Apps for deployment
Azure Machine Learning for data preparation, Azure Synapse Analytics for model training, and Azure App Service for deployment

Preparing for Microsoft AI-900 Microsoft Azure AI Fundamentals? Now land the interview.

73% of qualified candidates get rejected because of weak resumes. Build an ATS-optimized, recruiter-ready resume in under 5 minutes - free to start.

Build My Resume Free