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

Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure
Author :
Publisher : Microsoft Press
Total Pages : 240
Release :
ISBN-10 : 0136871798
ISBN-13 : 9780136871798
Rating : 4/5 (98 Downloads)

Book Synopsis Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure by : Pierstefano Tucci

Download or read book Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure written by Pierstefano Tucci and published by Microsoft Press. This book was released on 2021-03-30 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for Microsoft Exam DP-100-and help demonstrate your real-world mastery of the various data science components of Microsoft Azure. Designed for IT professionals, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Associate level. Focus on the expertise measured by these objectives: Set up an Azure Machine Learning workspace Run experiments and train models Optimize and manage models Deploy and consume models This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, IT professional, or student interested in cloud computing and technologies, including individuals planning to pursue more advanced Microsoft 365 certification About the Exam Exam DP-100 focuses on knowledge needed to apply scientific rigor and data exploration techniques to gain actionable insights and communicate results to stakeholders; use machine learning techniques to train, evaluate, and deploy models to build AI solutions that satisfy business objectives; use applications that involve natural language processing, speech, computer vision, and predictive analytics. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure Data Scientist Associate credential, demonstrating that you understand how to implement and run machine learning workloads on Microsoft Azure; in particular, using Azure Machine Learning Service. See full details at: www.microsoft.com/learn


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

Exam Ref Dp-100 Designing and Implementing a Data Science Solution on Azure
Language: en
Pages: 240
Authors: Pierstefano Tucci
Categories: Computers
Type: BOOK - Published: 2021-03-30 - Publisher: Microsoft Press

DOWNLOAD EBOOK

Prepare for Microsoft Exam DP-100-and help demonstrate your real-world mastery of the various data science components of Microsoft Azure. Designed for IT profes
Exam Ref MS-100 Microsoft 365 Identity and Services
Language: en
Pages: 546
Authors: Orin Thomas
Categories: Computers
Type: BOOK - Published: 2021-12-08 - Publisher: Microsoft Press

DOWNLOAD EBOOK

Prepare for the updated version of Microsoft Exam MS-100— and help demonstrate your real-world mastery of skills and knowledge needed to effectively design, d
Exam Ref DP-100 Designing and Implementing a Data Science Solution on Azure
Language: en
Pages: 297
Authors: Dayne Sorvisto
Categories: Computers
Type: BOOK - Published: 2024-12-06 - Publisher: Microsoft Press

DOWNLOAD EBOOK

Prepare for Microsoft Exam DP-100 and demonstrate your real-world knowledge of managing data ingestion and preparation, model training and deployment, and machi
Exam Ref 70-767 Implementing a SQL Data Warehouse
Language: en
Pages: 360
Authors: Jose Chinchilla
Categories: Computers
Type: BOOK - Published: 2017-11-09 - Publisher: Microsoft Press

DOWNLOAD EBOOK

Prepare for Microsoft Exam 70-767–and help demonstrate your real-world mastery of skills for managing data warehouses. This exam is intended for Extract, Tran
Architecting Microsoft Azure Solutions
Language: en
Pages: 432
Authors: Haishi Bai
Categories: Computers
Type: BOOK - Published: 2018-05-24 - Publisher: Microsoft Press

DOWNLOAD EBOOK

The Exam Ref is the official study guide for Microsoft certification exams. Featuring concise, objective-by-objective reviews and strategic case scenarios and T