Microsoft Certified Azure Data Scientist Associate Dp 100
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| Author | : Andreas Botsikas |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 448 |
| Release | : 2021-12-03 |
| Genre | : Computers |
| ISBN | : 1800561261 |
Develop the skills you need to run machine learning workloads in Azure and pass the DP-100 exam with ease Key FeaturesCreate end-to-end machine learning training pipelines, with or without codeTrack experiment progress using the cloud-based MLflow-compatible process of Azure ML servicesOperationalize your machine learning models by creating batch and real-time endpointsBook Description The Azure Data Scientist Associate Certification Guide helps you acquire practical knowledge for machine learning experimentation on Azure. It covers everything you need to pass the DP-100 exam and become a certified Azure Data Scientist Associate. Starting with an introduction to data science, you'll learn the terminology that will be used throughout the book and then move on to the Azure Machine Learning (Azure ML) workspace. You'll discover the studio interface and manage various components, such as data stores and compute clusters. Next, the book focuses on no-code and low-code experimentation, and shows you how to use the Automated ML wizard to locate and deploy optimal models for your dataset. You'll also learn how to run end-to-end data science experiments using the designer provided in Azure ML Studio. You'll then explore the Azure ML Software Development Kit (SDK) for Python and advance to creating experiments and publishing models using code. The book also guides you in optimizing your model's hyperparameters using Hyperdrive before demonstrating how to use responsible AI tools to interpret and debug your models. Once you have a trained model, you'll learn to operationalize it for batch or real-time inferences and monitor it in production. By the end of this Azure certification study guide, you'll have gained the knowledge and the practical skills required to pass the DP-100 exam. What you will learnCreate a working environment for data science workloads on AzureRun data experiments using Azure Machine Learning servicesCreate training and inference pipelines using the designer or codeDiscover the best model for your dataset using Automated MLUse hyperparameter tuning to optimize trained modelsDeploy, use, and monitor models in productionInterpret the predictions of a trained modelWho this book is for This book is for developers who want to infuse their applications with AI capabilities and data scientists looking to scale their machine learning experiments in the Azure cloud. Basic knowledge of Python is needed to follow the code samples used in the book. Some experience in training machine learning models in Python using common frameworks like scikit-learn will help you understand the content more easily.
| Author | : Cybellium |
| Publisher | : YouGuide Ltd |
| Total Pages | : 229 |
| Release | : |
| Genre | : Study Aids |
| ISBN | : 1836798326 |
Welcome to the forefront of knowledge with Cybellium, your trusted partner in mastering the cutting-edge fields of IT, Artificial Intelligence, Cyber Security, Business, Economics and Science. Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
| Author | : Manish Soni |
| Publisher | : |
| Total Pages | : 92 |
| Release | : 2024-11-17 |
| Genre | : Study Aids |
| ISBN | : |
This certification, AZURE AI Data Scientists Associate DP-100, is meticulously crafted to validate your proficiency in key AI and machine learning concepts within the Azure environment. Whether you are a seasoned data professional seeking to expand your skill set or an aspiring data scientist eager to enter the field, this program equips you with the expertise needed to design and implement intelligent solutions. What You Will Learn: This certification covers a diverse range of topics, including data preparation, model training, model deployment, and the implementation of machine learning workloads on Azure. The curriculum is designed to provide a comprehensive understanding of Azure Machine Learning, Azure Cognitive Services, and related tools that are integral to building AI-driven solutions.
| Author | : Rajib Kumar De |
| Publisher | : Orange Education Pvt Ltd |
| Total Pages | : 380 |
| Release | : 2024-06-26 |
| Genre | : Computers |
| ISBN | : 8197256225 |
TAGLINE Empower Your Data Science Journey: From Exploration to Certification in Azure Machine Learning KEY FEATURES ● Offers deep dives into key areas such as data preparation, model training, and deployment, ensuring you master each concept. ● Covers all exam objectives in detail, ensuring a thorough understanding of each topic required for the DP-100 certification. ● Includes hands-on labs and practical examples to help you apply theoretical knowledge to real-world scenarios, enhancing your learning experience. DESCRIPTION Ultimate Azure Data Scientist Associate (DP-100) Certification Guide is your essential resource for achieving the Microsoft Azure Data Scientist Associate certification. This guide covers all exam objectives, helping you design and prepare machine learning solutions, explore data, train models, and manage deployment and retraining processes. The book starts with the basics and advances through hands-on exercises and real-world projects, to help you gain practical experience with Azure's tools and services. The book features certification-oriented Q&A challenges that mirror the actual exam, with detailed explanations to help you thoroughly grasp each topic. Perfect for aspiring data scientists, IT professionals, and analysts, this comprehensive guide equips you with the expertise to excel in the DP-100 exam and advance your data science career. WHAT WILL YOU LEARN ● Design and prepare effective machine learning solutions in Microsoft Azure. ● Learn to develop complete machine learning training pipelines, with or without code. ● Explore data, train models, and validate ML pipelines efficiently. ● Deploy, manage, and optimize machine learning models in Azure. ● Utilize Azure's suite of data science tools and services, including Prompt Flow, Model Catalog, and AI Studio. ● Apply real-world data science techniques to business problems. ● Confidently tackle DP-100 certification exam questions and scenarios. WHO IS THIS BOOK FOR? This book is for aspiring Data Scientists, IT Professionals, Developers, Data Analysts, Students, and Business Professionals aiming to Master Azure Data Science. Prior knowledge of basic Data Science concepts and programming, particularly in Python, will be beneficial for making the most of this comprehensive guide. TABLE OF CONTENTS 1. Introduction to Data Science and Azure 2. Setting Up Your Azure Environment 3. Data Ingestion and Storage in Azure 4. Data Transformation and Cleaning 5. Introduction to Machine Learning 6. Azure Machine Learning Studio 7. Model Deployment and Monitoring 8. Embracing AI Revolution Azure 9. Responsible AI and Ethics 10. Big Data Analytics with Azure 11. Real-World Applications and Case Studies 12. Conclusion and Next Steps Index
| Author | : Orin Thomas |
| Publisher | : Microsoft Press |
| Total Pages | : 546 |
| Release | : 2021-12-08 |
| Genre | : Computers |
| ISBN | : 0137469225 |
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, deploy, manage, and secure Microsoft 365 services. Designed for experienced IT professionals, Exam Ref focuses on critical thinking and decision-making acumen needed for success at the Microsoft Certified Expert level. Focus on the expertise measured by these objectives: • Design and implement Microsoft 365 services • Manage user identity and roles • Manage access and authentication • Plan Office 365 workloads and applications This Microsoft Exam Ref: • Organizes its coverage by exam objectives • Features strategic, what-if scenarios to challenge you • Assumes you have working knowledge of Microsoft 365 workloads, networking, server administration, and IT fundamentals; and have administered at least one Exchange, SharePoint, Teams, or Windows deployment About the Exam Exam MS-100 focuses on knowledge needed to plan architecture; deploy a Microsoft 365 tenant; manage Microsoft 365 subscription and tenant health; plan migration of users and data; design identity strategy; plan identity synchronization; manage identity synchronization with Azure Active Directory (Azure AD); manage Azure AD identities and roles; manage authentication; plan and implement secure access; configure application access; plan to deploy Microsoft 365 Apps and messaging; plan for Microsoft SharePoint Online, OneDrive for Business, and Teams infrastructure; and plan Microsoft Power Platform integration. About Microsoft Certification The Microsoft 365 Certified: Enterprise Administrator Expert certification credential demonstrates your ability to evaluate, plan, migrate, deploy, and manage Microsoft 365 services. To fulfill your requirements, pass this exam and Exam MS-101: Microsoft 365 Mobility and Security, and earn one of these five prerequisite certifications: Modern Desktop Administrator Associate, Security Administrator Associate, Messaging Administrator Associate, Teams Administrator Associate, or Identity and Access Administrator Associate. See full details at: microsoft.com/learn
| Author | : Newton Alex |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 574 |
| Release | : 2022-02-28 |
| Genre | : Computers |
| ISBN | : 1801812837 |
Become well-versed with data engineering concepts and exam objectives to achieve Azure Data Engineer Associate certification Key Features Understand and apply data engineering concepts to real-world problems and prepare for the DP-203 certification exam Explore the various Azure services for building end-to-end data solutions Gain a solid understanding of building secure and sustainable data solutions using Azure services Book DescriptionAzure is one of the leading cloud providers in the world, providing numerous services for data hosting and data processing. Most of the companies today are either cloud-native or are migrating to the cloud much faster than ever. This has led to an explosion of data engineering jobs, with aspiring and experienced data engineers trying to outshine each other. Gaining the DP-203: Azure Data Engineer Associate certification is a sure-fire way of showing future employers that you have what it takes to become an Azure Data Engineer. This book will help you prepare for the DP-203 examination in a structured way, covering all the topics specified in the syllabus with detailed explanations and exam tips. The book starts by covering the fundamentals of Azure, and then takes the example of a hypothetical company and walks you through the various stages of building data engineering solutions. Throughout the chapters, you'll learn about the various Azure components involved in building the data systems and will explore them using a wide range of real-world use cases. Finally, you’ll work on sample questions and answers to familiarize yourself with the pattern of the exam. By the end of this Azure book, you'll have gained the confidence you need to pass the DP-203 exam with ease and land your dream job in data engineering.What you will learn Gain intermediate-level knowledge of Azure the data infrastructure Design and implement data lake solutions with batch and stream pipelines Identify the partition strategies available in Azure storage technologies Implement different table geometries in Azure Synapse Analytics Use the transformations available in T-SQL, Spark, and Azure Data Factory Use Azure Databricks or Synapse Spark to process data using Notebooks Design security using RBAC, ACL, encryption, data masking, and more Monitor and optimize data pipelines with debugging tips Who this book is for This book is for data engineers who want to take the DP-203: Azure Data Engineer Associate exam and are looking to gain in-depth knowledge of the Azure cloud stack. The book will also help engineers and product managers who are new to Azure or interviewing with companies working on Azure technologies, to get hands-on experience of Azure data technologies. A basic understanding of cloud technologies, extract, transform, and load (ETL), and databases will help you get the most out of this book.
| Author | : Pierstefano Tucci |
| Publisher | : Microsoft Press |
| Total Pages | : 240 |
| Release | : 2021-03-30 |
| Genre | : Computers |
| ISBN | : 9780136871798 |
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
| Author | : Brian Svidergol |
| Publisher | : Microsoft Press |
| Total Pages | : 456 |
| Release | : 2019-06-12 |
| Genre | : Computers |
| ISBN | : 0135574935 |
Prepare for Microsoft Exam MS-101–and help demonstrate your real-world mastery of skills and knowledge needed to manage Microsoft 365 mobility, security, and related administration tasks. Designed for experienced IT professionals, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified Expert level. Focus on the expertise measured by these objectives: Implement modern device services Implement Microsoft 365 security and threat management Manage Microsoft 365 governance and compliance This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a Microsoft 365 Enterprise Administrator who participates in evaluating, planning, migrating, deploying, and managing Microsoft 365 services About the Exam Exam MS-101 focuses on knowledge needed to implement Mobile Device Management (MDM); manage device compliance; plan for devices and apps; plan Windows 10 deployment; implement Cloud App Security (CAS), threat management, and Windows Defender Advanced Threat Protection (ATP); manage security reports and alerts; configure Data Loss Prevention (DLP); implement Azure Information Protection (AIP); and manage data governance, auditing, and eDiscovery. About Microsoft Certification Passing this exam and Exam MS-100 Microsoft 365 Identity and Services (and earning one Microsoft 365 workload administrator certification or the MCSE: Productivity certification) fulfills your requirements for the Microsoft 365 Certified: Enterprise Administrator Expert certification credential. This demonstrates your ability to evaluate, plan, migrate, deploy, and manage Microsoft 365 services. See full details at: microsoft.com/learn
| Author | : Michael Washam |
| Publisher | : Microsoft Press |
| Total Pages | : 851 |
| Release | : 2018-01-23 |
| Genre | : Computers |
| ISBN | : 1509304665 |
Prepare for the newest versions of Microsoft Exam 70-533–and help demonstrate your real-world mastery of implementing Microsoft Azure Infrastructure as a Service (IaaS). Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Design and implement Azure App Service Apps Create and manage compute resources, and implement containers Design and implement a storage strategy, including storage encryption Implement virtual networks, including new techniques for hybrid connections Design and deploy ARM Templates Manage Azure security and Recovery Services Manage Azure operations, including automation and data analysis Manage identities with Azure AD Connect Health, Azure AD Domain Services, and Azure AD single sign on This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are an IT professional with experience implementing and monitoring cloud and hybrid solutions and/or supporting application lifecycle management This book covers the 533 objectives as of December 2017. If there are updates for this book, you will find them at https://aka.ms/examref5332E/errata. About the Exam Exam 70-533 focuses on skills and knowledge for provisioning and managing services in Microsoft Azure, including: implementing infrastructure components such as virtual networks, virtual machines, containers, web and mobile apps, and storage; planning and managing Azure AD, and configuring Azure AD integration with on-premises Active Directory domains. About Microsoft Certification Passing this exam helps qualify you for MCSA: Cloud Platform Microsoft Certified Solutions Associate certification, demonstrating your expertise in applying Microsoft cloud technologies to reduce costs and deliver value. To earn this certification, you must also pass any one of the following exams: 70-532 Developing Microsoft Azure Solutions, or 70-534 Architecting Microsoft Azure Solutions, or 70-535, Architecting Microsoft Azure Solutions, or 70-537: Configuring and Operating a Hybrid Cloud with Microsoft Azure Stack.
| Author | : Yuri Diogenes |
| Publisher | : Microsoft Press |
| Total Pages | : 518 |
| Release | : 2021-08-31 |
| Genre | : Computers |
| ISBN | : 0137568258 |
Prepare for Microsoft Exam SC-200—and help demonstrate your real-world mastery of skills and knowledge required to work with stakeholders to secure IT systems, and to rapidly remediate active attacks. Designed for Windows administrators, 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: Mitigate threats using Microsoft 365 Defender Mitigate threats using Microsoft Defender for Cloud Mitigate threats using Microsoft Sentinel This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience with threat management, monitoring, and/or response in Microsoft 365 environments About the Exam Exam SC-200 focuses on knowledge needed to detect, investigate, respond, and remediate threats to productivity, endpoints, identity, and applications; design and configure Azure Defender implementations; plan and use data connectors to ingest data sources into Azure Defender and Azure Sentinel; manage Azure Defender alert rules; configure automation and remediation; investigate alerts and incidents; design and configure Azure Sentinel workspaces; manage Azure Sentinel rules and incidents; configure SOAR in Azure Sentinel; use workbooks to analyze and interpret data; and hunt for threats in the Azure Sentinel portal. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft 365 Certified: Security Operations Analyst Associate certification credential, demonstrating your ability to collaborate with organizational stakeholders to reduce organizational risk, advise on threat protection improvements, and address violations of organizational policies. See full details at: microsoft.com/learn
