AI-102 exam dumps

AI-102 practice question 304 of 493

Designing and Implementing a Microsoft Azure AI Solution. Professional level, Microsoft. Free question with the correct answer and a full explanation.

AI-102 Question 304

Select 3

You are designing an Azure AI solution for a company that needs to preprocess data for a machine learning model. The company stores its data in multiple sources, including an Azure SQL Database, an Azure Blob Storage container, and a third-party on-premises PostgreSQL database. To streamline the data import process during model training, which data sources can you directly import into Azure Machine Learning datasets?

  1. A

    Azure SQL Database

  2. B

    Azure Blob Storage

  3. C

    On-premises PostgreSQL database via a secured connection

  4. D

    Google BigQuery

  5. E

    Azure Cosmos DB

Show answer and explanation

Correct answers: A, B, E

Explanation

Azure Machine Learning supports direct data imports from various Azure-native sources, such as Azure SQL Database, Azure Blob Storage, and Azure Cosmos DB. However, non-Azure sources like on-premises databases or third-party cloud services require additional integration solutions such as Data Factory or custom ETL processes to transfer data into supported formats or storage locations.

  • A. Correct.

    Azure SQL Database is a supported data source for Azure Machine Learning datasets, allowing direct imports.

  • B. Correct.

    Azure Blob Storage is a native and highly compatible data source in Azure Machine Learning for importing datasets.

  • C. Incorrect.

    On-premises PostgreSQL databases cannot be directly imported into Azure Machine Learning datasets, but data can be transferred by other means (e.g., Data Factory).

  • D. Incorrect.

    Google BigQuery is not natively supported as a direct import source for Azure Machine Learning datasets.

  • E. Correct.

    Azure Cosmos DB is a supported data source for direct imports into Azure Machine Learning datasets.

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