CCSP (ISC)2 Certified Cloud Security Professional Exam Guide. Build your knowledge to pass the CCSP exam with expert guidance

Omar A. Turner, Navya Lakshmana

Preparing for the Certified Cloud Security Professional (CCSP) exam can be challenging, as it covers a wide array of topics essential for advancing a cybersecurity professional’s career by validating their technical skills. To prepare for the CCSP exam, you need a resource that not only covers all the exam objectives but also helps you prepare for the format and structure of the exam.Written by two seasoned cybersecurity professionals with a collective experience of hundreds of hours training CCSP bootcamps, this CCSP study guide reflects the journey you’d undertake in such training sessions.The chapters are packed with up-to-date information necessary to pass the (ISC)2 CCSP exam. Additionally, to boost your confidence, the book provides self-assessment questions, exam tips, and mock exams with detailed answer explanations. You’ll be able to deepen your understanding using illustrative explanations that briefly review key points.As you progress, you’ll delve into advanced technical aspects of cloud domain security, such as application security, design, managing and securing data, and infrastructure in the cloud using best practices and legal policies and procedures.By the end of this guide, you’ll be ready to breeze through the exam and tackle real-world cloud security challenges with ease.

Applied Machine Learning and High-Performance Computing on AWS. Accelerate the development of machine learning applications following architectural best practices

Mani Khanuja, Farooq Sabir, Shreyas Subramanian, Trenton Potgieter

Machine learning (ML) and high-performance computing (HPC) on AWS run compute-intensive workloads across industries and emerging applications. Its use cases can be linked to various verticals, such as computational fluid dynamics (CFD), genomics, and autonomous vehicles.This book provides end-to-end guidance, starting with HPC concepts for storage and networking. It then progresses to working examples on how to process large datasets using SageMaker Studio and EMR. Next, you’ll learn how to build, train, and deploy large models using distributed training. Later chapters also guide you through deploying models to edge devices using SageMaker and IoT Greengrass, and performance optimization of ML models, for low latency use cases.By the end of this book, you’ll be able to build, train, and deploy your own large-scale ML application, using HPC on AWS, following industry best practices and addressing the key pain points encountered in the application life cycle.

Robot Framework Test Automation. Create test suites and automated acceptance tests from scratch

Sumit Bisht

Testing has traditionally been a part of software development, and has always involved a lot of manual effort. It can be automated with Robot Framework, which offers numerous benefits from cost saving to increased quality assurance in the software delivery. This book will help you to start designing test suites and Automated Acceptance Tests.Helping you to get started with automating acceptance tests, this book will provide a detailed overview of acceptance test management practices and principles. You will also be introduced to advanced techniques that you can use to customize the test suite, along with helpful tips and tricks to extend and leverage it in a wide variety of scenarios.Starting with a detailed explanation of the need for automated acceptance test driven development, this guide will help you with an empty test project creation and execution for proof of concept, and validation of installation. This book will also cover the Robot Framework in detail, and will help you test desktop applications using Java Swing. You will gain an in-depth knowledge of tricky activities, such as setting up a test environment and using it with Selenium.You will also learn about other popular libraries, and how to test network protocols, web services, and databases. This book will cover the entire Robot Framework with real- world practical material to make its content informative and interesting.By the end of this book you will be able to write acceptance tests for desktop and web applications, as well as know how to extend acceptance testing in other scenarios that are commonly devoid of tests, and present the results appropriately.

The C++ Standard Library. What every professional C++ programmer should know about the C++ standard library. - Second Edition

Rainer Grimm

Standard template library enables programmers to speed up application development using the built-in data structures and algorithms in their codes. The C++ Standard Library is a comprehensive guide to the updated library of classes, algorithms, functions, iterators, and containers and serves as the best reference to the current C++ 17 standard. Starting with the introduction and history of the standard library, this book goes on to demonstrate how quickly you can manipulate various C++ template classes while writing your applications. You'll also learn in detail the four types of STL components. Then you'll discover the best methods to analyze or modify a string. You'll also learn how to make your application communicate with the outside world using input and output streams and how to use the non-owning string objects with regular strings. By the end of this book, you'll be able to take your programming skills to a higher level by leveraging the standard C++ libraries.

The Music Producer's Creative Guide to Ableton Live 11. Level up your music recording, arranging, editing, and mixing skills and workflow techniques

Anna Lakatos, Ski Oakenfull

The Music Producer's Guide to Ableton Live will help you sharpen your production skills and gain a deeper understanding of the Live workflow. If you are a music maker working with other digital audios workstations (DAWs) or experienced in Ableton Live, perhaps earlier versions, you’ll be able to put your newfound knowledge to use right away with this book.You’ll start with some basic features and workflows that are more suitable for producers from another DAW looking to transfer their skills to Ableton Live 11.2. As you explore the Live concept, you’ll learn to create expressive music using Groove and MIDI effects and demystify Live 11’s new workflow improvements, such as Note Chance and Velocity Randomization. The book then introduces the Scale Mode, MIDI Transform tools, and other key features that can make composition and coming up with melodic elements easier than ever before. It will also guide you in implementing Live 11's new and updated effects into your current workflow.By the end of this Ableton Live book, you’ll be able to implement advanced production and workflow techniques and amplify live performance capabilities with what the Live 11 workflow has to offer.

Moodle 3 E-Learning Course Development. Create highly engaging and interactive e-learning courses with Moodle 3 - Fourth Edition

Susan Smith Nash, William Rice

Moodle is a learning platform or Course Management System (CMS) that is easy toinstall and use, but the real challenge is in developing a learning process that leverages its power and maps the learning objectives to content and assessments for an integrated and effective course. Moodle 3 E-Learning Course Development guides you through meeting that challenge in a practical way.This latest edition will show you how to add static learning material, assessments, and social features such as forum-based instructional strategy, a chat module, and forums to your courses so that students reach their learning potential. Whether you want tosupport traditional class teaching or lecturing, or provide complete online and distancee-learning courses, this book will prove to be a powerful resource throughoutyour use of Moodle.You’ll learn how to create and integrate third-party plugins and widgets in your Moodle app, implement site permissions and user accounts, and ensure the security of content and test papers. Further on, you’ll implement PHP scripts that will help you create customized UIs for your app. You’ll also understand how to create your first Moodle VR e-learning app using the latest VR learning experience that Moodle 3 has to offer.By the end of this book, you will have explored the decisions, design considerations, andthought processes that go into developing a successful course.

R: Unleash Machine Learning Techniques. Smarter data analytics

Brett Lantz, Cory Lesmeister, Dipanjan Sarkar, Raghav Bali

R is the established language of data analysts and statisticians around the world. And you shouldn’t be afraid to use it…This Learning Path will take you through the fundamentals of R and demonstrate how to use the language to solve a diverse range of challenges through machine learning. Accessible yet comprehensive, it provides you with everything you need to become more a more fluent data professional, and more confident with R. In the first module you’ll get to grips with the fundamentals of R. This means you’ll be taking a look at some of the details of how the language works, before seeing how to put your knowledge into practice to build some simple machine learning projects that could prove useful for a range of real world problems.For the following two modules we’ll begin to investigate machine learning algorithms in more detail. To build upon the basics, you’ll get to work on three different projects that will test your skills. Covering some of the most important algorithms and featuring some of the most popular R packages, they’re all focused on solving real problems in different areas, ranging from finance to social media.This Learning Path has been curated from three Packt products:• R Machine Learning By Example By Raghav Bali, Dipanjan Sarkar• Machine Learning with R - Second Edition By Brett Lantz• Mastering Machine Learning with R By Cory Lesmeister

Smart Internet of Things Projects. Click here to enter text

Agus Kurniawan

Internet of Things (IoT) is a groundbreaking technology that involves connecting numerous physical devices to the Internet and controlling them. Creating basic IoT projects is common, but imagine building smart IoT projects that can extract data from physical devices, thereby making decisions by themselves. Our book overcomes the challenge of analyzing data from physical devices and accomplishes all that your imagination can dream up by teaching you how to build smart IoT projects. Basic statistics and various applied algorithms in data science and machine learning are introduced to accelerate your knowledge of how to integrate a decision system into a physical device. This book contains IoT projects such as building a smart temperature controller, creating your own vision machine project, building an autonomous mobile robot car, controlling IoT projects through voice commands, building IoT applications utilizing cloud technology and data science, and many more. We will also leverage a small yet powerful IoT chip, Raspberry Pi with Arduino, in order to integrate a smart decision-making system in the IoT projects.