Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure

Sorvisto, Dayne

  • 出版商: MicroSoft
  • 出版日期: 2024-11-01
  • 售價: $1,810
  • 貴賓價: 9.5$1,720
  • 語言: 英文
  • 頁數: 192
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0135350603
  • ISBN-13: 9780135350607
  • 相關分類: Microsoft AzureData Science
  • 海外代購書籍(需單獨結帳)

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商品描述

Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Python, Azure Machine Learning, and MLflow. Designed for professionals with data science experience, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure Data Scientist Associate level.

Focus on the expertise measured by these objectives:

  • Design and prepare a machine learning solution
  • Explore data and train models
  • Prepare a model for deployment
  • Deploy and retrain a model

This Microsoft Exam Ref:

  • Organizes its coverage by exam objectives
  • Features strategic, what-if scenarios to challenge you
  • Assumes you have experience in designing and creating a suitable working environment for data science workloads, training machine learning models, and managing, deploying, and monitoring scalable machine learning solutions

About the Exam

Exam DP-100 focuses on knowledge needed to design and prepare a machine learning solution, manage an Azure Machine Learning workspace, explore data and train models, create models by using the Azure Machine Learning designer, prepare a model for deployment, manage models in Azure Machine Learning, deploy and retrain a model, and apply machine learning operations (MLOps) practices.

About Microsoft Certification

Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating your expertise in applying data science and machine learning to implement and run machine learning workloads on Azure, including knowledge and experience using Azure Machine Learning and MLflow.

商品描述(中文翻譯)

準備參加 Microsoft 考試 DP-100,並展示您在數據攝取和準備、模型訓練和部署,以及使用 Python、Azure Machine Learning 和 MLflow 進行機器學習解決方案監控的實際知識。本考試參考書專為具備數據科學經驗的專業人士設計,重點在於成功通過 Microsoft Certified: Azure Data Scientist Associate 級別所需的批判性思維和決策能力。

專注於以下目標所測量的專業知識:
- 設計和準備機器學習解決方案
- 探索數據和訓練模型
- 準備模型以供部署
- 部署和重新訓練模型

本 Microsoft 考試參考書:
- 按照考試目標組織內容
- 提供戰略性「如果」情境以挑戰您
- 假設您具備設計和創建適合數據科學工作負載的工作環境、訓練機器學習模型,以及管理、部署和監控可擴展機器學習解決方案的經驗

關於考試
考試 DP-100 專注於設計和準備機器學習解決方案所需的知識,管理 Azure Machine Learning 工作區,探索數據和訓練模型,使用 Azure Machine Learning 設計器創建模型,準備模型以供部署,管理 Azure Machine Learning 中的模型,部署和重新訓練模型,以及應用機器學習運營 (MLOps) 實踐。

關於 Microsoft 認證
通過此考試可滿足 Microsoft Certified: Azure Data Scientist Associate 認證的要求,展示您在應用數據科學和機器學習以在 Azure 上實施和運行機器學習工作負載方面的專業知識,包括使用 Azure Machine Learning 和 MLflow 的知識和經驗。

作者簡介

Dayne Sorvisto is a seasoned data engineer and technical author (MLOps Lifecycle Toolkit). Dayne has held senior technical positions including Staff Data Engineer, Software Developer, and Senior Machine Learning Engineer, and has a Master's degree in Pure Mathematics. You can connect with Dayne on LinkedIn at linkedin.com/in/daynesorvisto or visit his website wyattsolutions.co to learn more.

作者簡介(中文翻譯)

Dayne Sorvisto 是一位經驗豐富的數據工程師和技術作者(MLOps Lifecycle Toolkit)。Dayne 曾擔任高級技術職位,包括員工數據工程師、軟體開發人員和高級機器學習工程師,並擁有純數學碩士學位。您可以在 LinkedIn 上與 Dayne 連結,網址為 linkedin.com/in/daynesorvisto,或訪問他的網站 wyattsolutions.co 以了解更多資訊。