Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam

Julian Sharp

The Power Platform Functional Consultant Associate (PL-200) exam tests and validates the practical skills of Power Platform users who are proficient in developing solutions by combining the tools in Power Platform and the Microsoft 365 ecosystem based on business needs.This certification guide offers complete, up-to-date coverage of the PL-200 exam so you can prepare effectively for the exam. Written in a clear, succinct way with self-assessment questions, exam tips, and mock exams with detailed explanations of solutions, this book covers common day-to-day activities involved in configuring Power Platform, such as managing entities, creating apps, implementing security, and managing system change.You'll also explore the role of a functional consultant in creating a data model in the Microsoft Dataverse (formerly Common Data Service). Moving ahead, you'll learn how to design the user experience and even build model-driven and canvas apps. As you progress, the book will show you how to manage automation and create chatbots. Finally, you'll understand how to display your data with Power BI and integrate Power Platform with Microsoft 365 and Microsoft Teams.By the end of this book, you'll be well-versed with the essential concepts and techniques required to prepare for the PL-200 certification exam.

Networking Fundamentals. Develop the networking skills required to pass the Microsoft MTA Networking Fundamentals Exam 98-366

Gordon Davies

A network is a collection of computers, servers, mobile devices, or other computing devices connected for sharing data. This book will help you become well versed in basic networking concepts and prepare to pass Microsoft's MTA Networking Fundamentals Exam 98-366.Following Microsoft's official syllabus, the book starts by covering network infrastructures to help you differentiate intranets, internets, and extranets, and learn about network topologies. You’ll then get up to date with common network hardware devices such as routers and switches and the media types used to connect them together. As you advance, the book will take you through different protocols and services and the requirements to follow a standardized approach to networking. You’ll get to grips with the OSI and TCP/IP models as well as IPv4 and IPv6. The book also shows you how to recall IP addresses through name resolution. Finally, you’ll be able to practice everything you’ve learned and take the exam confidently with the help of mock tests. By the end of this networking book, you’ll have developed a strong foundation in the essential networking concepts needed to pass Exam 98-366.

Learn Kubernetes Security. Securely orchestrate, scale, and manage your microservices in Kubernetes deployments

Kaizhe Huang, Pranjal Jumde, Loris Degioanni

Kubernetes is an open source orchestration platform for managing containerized applications. Despite widespread adoption of the technology, DevOps engineers might be unaware of the pitfalls of containerized environments. With this comprehensive book, you'll learn how to use the different security integrations available on the Kubernetes platform to safeguard your deployments in a variety of scenarios.Learn Kubernetes Security starts by taking you through the Kubernetes architecture and the networking model. You'll then learn about the Kubernetes threat model and get to grips with securing clusters. Throughout the book, you'll cover various security aspects such as authentication, authorization, image scanning, and resource monitoring. As you advance, you'll learn about securing cluster components (the kube-apiserver, CoreDNS, and kubelet) and pods (hardening image, security context, and PodSecurityPolicy). With the help of hands-on examples, you'll also learn how to use open source tools such as Anchore, Prometheus, OPA, and Falco to protect your deployments.By the end of this Kubernetes book, you'll have gained a solid understanding of container security and be able to protect your clusters from cyberattacks and mitigate cybersecurity threats.

Production-Ready Applied Deep Learning. Learn how to construct and deploy complex models in PyTorch and TensorFlow deep learning frameworks

Tomasz Palczewski, Jaejun (Brandon) Lee, Lenin Mookiah

Machine learning engineers, deep learning specialists, and data engineers encounter various problems when moving deep learning models to a production environment. The main objective of this book is to close the gap between theory and applications by providing a thorough explanation of how to transform various models for deployment and efficiently distribute them with a full understanding of the alternatives.First, you will learn how to construct complex deep learning models in PyTorch and TensorFlow. Next, you will acquire the knowledge you need to transform your models from one framework to the other and learn how to tailor them for specific requirements that deployment environments introduce. The book also provides concrete implementations and associated methodologies that will help you apply the knowledge you gain right away. You will get hands-on experience with commonly used deep learning frameworks and popular cloud services designed for data analytics at scale. Additionally, you will get to grips with the authors’ collective knowledge of deploying hundreds of AI-based services at a large scale.By the end of this book, you will have understood how to convert a model developed for proof of concept into a production-ready application optimized for a particular production setting.

Elasticsearch for Hadoop. Integrate Elasticsearch into Hadoop to effectively visualize and analyze your data

Vishal Shukla

The Machine Learning Solutions Architect Handbook. Create machine learning platforms to run solutions in an enterprise setting

David Ping

When equipped with a highly scalable machine learning (ML) platform, organizations can quickly scale the delivery of ML products for faster business value realization. There is a huge demand for skilled ML solutions architects in different industries, and this handbook will help you master the design patterns, architectural considerations, and the latest technology insights you’ll need to become one.You’ll start by understanding ML fundamentals and how ML can be applied to solve real-world business problems. Once you've explored a few leading problem-solving ML algorithms, this book will help you tackle data management and get the most out of ML libraries such as TensorFlow and PyTorch.Using open source technology such as Kubernetes/Kubeflow to build a data science environment and ML pipelines will be covered next, before moving on to building an enterprise ML architecture using Amazon Web Services (AWS). You’ll also learn about security and governance considerations, advanced ML engineering techniques, and how to apply bias detection, explainability, and privacy in ML model development. And finally, you'll get acquainted with AWS AI services and their applications in real-world use cases.By the end of this audiobook, you’ll be able to design and build an ML platform to support common use cases and architecture patterns like a true professional.

DevOps Adoption Strategies: Principles, Processes, Tools, and Trends. Embracing DevOps through effective culture, people, and processes

Martyn Coupland

DevOps is a set of best practices enabling operations and development teams to work together to produce higher-quality work and, among other things, quicker releases. This book helps you to understand the fundamentals needed to get started with DevOps, and prepares you to start deploying technical tools confidently.You will start by learning the key steps for implementing successful DevOps transformations. The book will help you to understand how aspects of culture, people, and process are all connected, and that without any one of these elements DevOps is unlikely to be successful. As you make progress, you will discover how to measure and quantify the success of DevOps in your organization, along with exploring the pros and cons of the main tooling involved in DevOps. In the concluding chapters, you will learn about the latest trends in DevOps and find out how the tooling changes when you work with these specialties.By the end of this DevOps book, you will have gained a clear understanding of the connection between culture, people, and processes within DevOps, and learned why all three are critically important.

Learning Veeam Backup & Replication for VMware vSphere. Learn how to protect your data in your VMware vSphere infrastructure with Veeam Backup & Replication

Christian Mohn