Câu 8: AI-100: Designing and Implementing an Azure AI Solution
HOTSPOT -You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements: ✑ Securely query an on-premises database once a week to update product lists. ✑ Access the data without using a gateway. ✑ Orchestrate the…
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HOTSPOT -You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements: ✑ Securely query an on-premises database once a week to update product lists. ✑ Access the data without using a gateway. ✑ Orchestrate the separate phases. What should you use? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point. Hot Area:
Các lựa chọn
Đáp án được giữ gọn theo nhãn A, B, C, D trong phần bình chọn tương tác.
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A. Lựa chọn A bằng hình ảnh — đáp án hiện tại
Incorrect Answer: The VPN connection solution both use gateways. Box 1: Azure App Service Hybrid ConnectionsWith Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios. Box 2: Machine Learning pipelinesTypically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning. Box 3: Azure Databricks -References:https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/ https://databricks.com/glossary/what-are-ml-pipelines
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