AI-900 exam dumps

AI-900 practice question 132 of 286

Microsoft Azure AI Fundamentals. Free level, Microsoft. Free question with the correct answer and a full explanation.

AI-900 Question 132

Single answer

You are tasked with developing a machine learning model for a retail company to predict customer churn. You need a managed service that allows you to train, deploy, and manage your model while scaling compute resources automatically. Which Azure service should you use?

  1. A

    Azure Machine Learning

  2. B

    Azure Synapse Analytics

  3. C

    Azure Databricks

  4. D

    Azure Cognitive Services

Show answer and explanation

Correct answer: A

Explanation

Azure Machine Learning is the most appropriate choice because it is designed to handle the entire machine learning lifecycle, including training, deployment, and management. It simplifies the process of managing compute resources and provides tools to streamline machine learning workflows.

  • A. Correct.

    Azure Machine Learning is a fully managed service that provides end-to-end capabilities for training, deploying, and managing machine learning models. It also offers automatic scaling of compute resources, making it ideal for this scenario.

  • B. Incorrect.

    Azure Synapse Analytics is designed for data integration, big data processing, and data warehousing. While it supports data preparation tasks, it is not specifically intended for managing and deploying machine learning models.

  • C. Incorrect.

    Azure Databricks is a collaborative platform for big data and advanced analytics. While it can be used for some machine learning tasks, it lacks the dedicated model deployment and management features of Azure Machine Learning.

  • D. Incorrect.

    Azure Cognitive Services provides pre-built AI models for specific tasks like language understanding or image recognition. It does not support custom machine learning model training and deployment.

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