Learning Azure DevOps
To help cloud professionals make the most of the Azure DevOps platform, "Learning Azure DevOps" is a practical book that walks them through the process step-by-step. This book goes over all the bases of DevOps, including how to automate crucial tasks, deploy infrastructure as code (IaC), and set up and manage CI/CD pipelines.At the outset, the chapters will teach readers how to create Azure DevOps projects and link their repositories to VCSes like GitHub. Any application's build, test, and deployment processes, including Spring Boot's, can be automated with Azure Pipelines by configuring Pipeline as Code using YAML. To make sure that professionals can manage scalable, cloud-native apps, we also cover advanced topics like containerizing apps with Docker and deploying them to Azure Kubernetes Service (AKS). Using frameworks such as JUnit, Mockito, and Postman, the book goes even further into automated testing to guarantee quality assurance and continuous testing. It teaches to automate backup and disaster recovery procedures for resilient operations and to use Flyway to perform schema migrations.Additionally, teams are guided to work efficiently together through Azure Boards, shared pipelines, and centralized infrastructure management, highlighting collaboration. Also covered is Azure DevOps Analytics, which readers can use to keep tabs on their projects and teams' performance using real-time dashboards.Key LearningsIntegrate with Git for version control and set up Azure DevOps projects.Develop YAML-based Pipeline as Code to streamline the process of automating builds, tests, and deployments.Dockerize your apps and then launch them on AKS.Utilize Azure Boards and Project Boards to manage and monitor work items, tasks, and user stories.Add Postman, JUnit, and Mockito to your continuous integration pipelines to automate your application testing.Integrate Flyway into your Azure Pipelines to automate database schema migrations and achieve continuous delivery.Facilitate cross-team and cross-project cooperation by establishing shared pipelines and resources.Use Azure DevOps Analytics and performance insights for project management and monitoring.Deploy backups and failover procedures automatically in Azure DevOps.Use Terraform in conjunction with Azure Pipelines to deploy cloud-based IaC.Table of ContentGetting Started with Azure DevOpsPipeline as Code with YAMLContinuous Integration with Azure PipelinesContinuous Delivery with Azure PipelinesManaging Dependencies with Azure ArtifactsTesting and Quality Assurance with Azure Test PlansInfrastructure Automation with Azure PipelinesCollaboration and Team Management in Azure DevOps
Advancing Openmp for Future Accelerators
This book constitutes the refereed proceedings of the 20th International Workshop on OpenMP: Advancing OpenMP for Future Accelerators, IWOMP 2024, in Perth, WA, Australia, during September 23-25, 2024. The 14 full papers presented in this book were carefully reviewed and selected from 16 submissions. They are grouped into the following topics: current and future openMP optimization; targeting more devices; best practices; tools; and simplifying parallelization.
Augmenting Public Relations
Examining a range of new practices for the PR industry, covering both principles and applications, this book will be of great value to students, academics and practitioners alike. It describes the nature of AI and projects its development, offering an introduction to practitioners on how they too can create their own AI tools.
New Secrets for Success in an AI World
ACCELERATING CHANGE IS OUR FUTUREThis book examines the most pressing AI questions.What are the risks associated with AI?What is changing first: job displacement or job creation?What are the most significant benefits of AI in the short and long term?What is the timeline for AI-driven change?Who will be affected most by AI changes in the world?Who will be affected the least by AI?What opportunities lie in future changes?What does the future look like in the short, mid, and long term?What are the most significant new evolving trends in AI?What are some of the AI advancements in healthcare?What are the secrets to future success in an AI world?What is the next wave of AI start-ups?What is the simplest way to monetize AI?How is AI going to affect the financial system worldwide?How will AI affect warfare worldwide?How soon will we see AI personal companions?What is augmented eternity? And much much more...
Artificial General Intelligence
How to make AI capable of general intelligence, and what such technology would mean for society. Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Although some very recent AI systems are generalists to a degree, most AI is narrowly specific; that is, it can only do a single thing, in a single context. For example, your spellchecker can't do mathematics, and the world's best chess-playing program can't play Tetris. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization. Togelius starts by giving examples of narrow AI that have superhuman performance in some way. Interestingly, there have been AI systems that are superhuman in some sense for more than half a century. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science. Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.
Creaitivity
In summer 2023, two innovation and technology experts moved into a Cambridge apartment with an AI called Isaac for a unique experiment. They wanted to know what life will really be like when we are all living and working with AI. This book is the result: A practical guide to working smarter with AI, using it at home, at work and in education. It's the first nonfiction book co-written by AI and humans working together - a new genre called 'AI Narratology' - and cuts through the hype to tell the real story of what mass market AI is really all about in relevant, funny and imaginative stories and diary entries by two men and their AI buddy. This is what the future holds for humans living and working in the age of AI.
Change Request Impacts in Software Maintenance
This book discusses Change Management Impact Analysis and how this method is used to analysis the risks and benefits of a change management initiative when it pertains to obtaining critical insight into how the change management program budge should be allotted.
Applications of Machine Learning and Deep Learning on Biological Data
This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics.
Cloud Native Application Protection Platforms
Cloud native security isn't a game for individual players. It requires team collaboration with a platform that can help cloud security engineers, developers, and operations people do their best work. That's what the cloud native application protection platform (CNAPP) delivers. With this practical guide, you'll learn how CNAPP can help you consolidate security through DevSecOps across cloud native technologies, practices, and application lifecycles. Through real-life attack scenarios, authors Russ Miles, Steve Giguere, and Taylor Smith help you explore how CNAPP not only mitigates multidimensional threats, but also reduces complexity and helps your team stay one step ahead of attackers. CNAPP provides a holistic approach to your cloud native development across identities, workloads, networks, and infrastructure. With this book, you will: Examine threats to different parts of the cloud native stack, including pipelines, supply chains, infrastructure, workloads, and applications Learn what CNAPP is and how it enables the context-sharing and collaboration necessary to secure your applications from development to runtime Assess your own attack surface from a code and runtime standpoint Identify blind spots in your existing cloud native security coverage Leverage CNAPP to achieve a holistic, collaborative security environment
AI Data Privacy and Protection
Empowers business leaders and IT professionals with a deep understanding of the capabilities challenges and capacity of AI-driven data solutions. This book explores the rapidly evolving intersection of artificial intelligence (AI) and data management. By highlighting best practices case studies and future trends it provides a roadmap for organizations striving to harness AI's power in managing and leveraging their data for competitive advantage. This roadmap encompasses the monitoring detection and response required in areas of AI security risk management ethics privacy ethics and regulations. At the confluence of artificial intelligence and data management lies a transformative potential that promises to redefine the future of business governance and innovation. This book delves deep into this nexus unraveling its complexities and illuminating its vast possibilities. Through expert insights real-world examples and forward-thinking analyses we embark on a journey to explore the transformative power of AI in data management the ethical considerations it brings forth and the strategic imperatives for businesses in the AI era. It's not just about understanding technology-it's about envisioning a future where data powered by AI becomes the cornerstone of decision-making strategy and value creation from the practitioner to the Board of Directors. We wrote this book for a diverse audience encompassing business leaders aiming to integrate AI into their strategic vision IT professionals striving to stay ahead in the dynamic realm of data management data scientists eager to leverage AI's transformative capabilities and students venturing into the world of AI and data. It is equally relevant for policymakers consultants and educators interested in the broader implications of AI-driven data solutions. By focusing on a balance of conceptual knowledge practical insights and future trends this book ensures that readers from various backgrounds and expertise levels find content that resonates with their interests and professional needs. Whether you're a seasoned executive an emerging tech enthusiast or someone curious about the AI-driven future this book offers a comprehensive lens through which to view and engage with the evolving landscape of AI and data management.
Towards Smart World
This book provides an overview of basic concept from rising of machines and communication to IoT for making the cities smart, real time applications domains, related technologies, and their possible solutions to handle the relevant challenges.
Artificial Intelligence in Highway Safety
Artificial Intelligence in Highway Safety is a cutting-edge book in the world of AI in the field of highway safety. The author is a highway safety expert, pursues highway safety within its contexts, while drawing attention to the predictive powers of the AI techniques in solving complex problems for safety improvement.
Advanced Intelligent Predictive Models for Urban Transportation
The book emphasizes the predictive models of Big Data, Genetic Algorithm and IoT with a case study. It also covers an Intelligent Traffic Light Controller and Deviation System, which can assist in modernizing the traffic system to smart traffic management system.
Computer Vision and Internet of Things
Computer Vision and Internet of Things: Technologies and Applications explores the utilization of Internet of Things (IoT) with computer vision and its underlying technologies in different applications areas. Using a series of present and future applications - including business insights, indoor-outdoor securities, smart grids, human detection and tracking, intelligent traffic monitoring, e-health departments, and medical imaging - this book focuses on providing a detailed description of the utilization of IoT with computer vision and its underlying technologies in critical application areas, such as smart grids, emergency departments, intelligent traffic cams, insurance, and the automotive industry.Key Features - Covers the challenging issues related to sensors, detection, and tracking of moving objects with solutions to handle relevant challenges- Describes the latest technological advances in IoT and computer vision with their implementations- Combines image processing and analysis into a unified framework to understand both IOT and computer vision applications- Explores mining and tracking of motion-based object data, such as trajectory prediction and prediction of a particular location of object data, and their critical applications- Provides novel solutions for medical imaging (skin lesion detection, cancer detection, enhancement techniques for MRI images, and automated disease prediction)This book is primarily aimed at graduates and researchers working in the areas of IoT, computer vision, big data, cloud computing, and remote sensing. It is also an ideal resource for IT professionals and technology developers.
Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
This unique book showcases the applications of various sub-fields of artificial intelligence (AI) in engineering, management and safety aspects of infrastructure.
Cloud and Fog Computing Platforms for Internet of Things
Fog, Cloud Computing and their connectivity with the IoT are discussed in this book, with an emphasis on the advantages and implementation issues. It also explores the various architectures and appropriate IoT applications.
Document Analysis and Recognition - Icdar 2024 Workshops
This two-volume set LNCS 14935-14936 constitutes the proceedings of International Workshops co-located with the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30-31, 2024. The total of 30 regular papers presented in these proceedings were carefully selected from 46 submissions. Part I contains 16 regular papers that stem from the following workshops: ICDAR 2024 Workshop on Automatically Domain-Adapted and Personalized Document Analysis (ADAPDA); ICDAR 2024 Workshop on Advanced Analysis and Recognition of Parliamentary Corpora (ARPC); ICDAR 2024 Workshop on coMics ANalysis, Processing and Understanding (MANPU). Part II contains 14 regular papers that stem from the following workshops: ICDAR 2024 Workshop on Computational Paleography (IWCP); ICDAR 2024 Workshop on Machine Vision and NLP for Document Analysis (VINALDO).
SDN-Supported Edge-Cloud Interplay for Next Generation Internet of Things
This book provides a wide range of research directions in the field of edge-cloud computing, SDN, and IoT. It is a starting point for those involved in this research domain and explore burning issues related to network congestion, traffic management, latency, QoS, scalability, security, and controller placement problems etc.
Edge Computing
This reference text introduces concepts of edge computing and its integration with blockchain technology, cloud computing, and internet of things (IoT). It will serve as a useful text for senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, and computer science.
Smart Proxy Modeling
Smart proxy models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes. This book focuses on smart proxy modeling and teaches readers to develop smart proxy models using artificial intelligence and machine learning.
Edge Computing and Capability-Oriented Architecture
This book is for everyone who is interested in understanding what ubiquitous and edge computing means, why it is growing in importance and its opportunities to you as a technologist or decision maker.
Bitcoin and Blockchain
The Blockchain is growing fast, from the original bitcoin protocol to the second generation Ethereum platform and today in the process of building third generations Blockchains. We can see how technology evolved from the original form as a distributed database by becoming a fully fledged globally distributed cloud computer.
Medical Internet of Things
This book is an attempt to explore new ideas and novel techniques in area of Medical Internet of Things apart from basic concepts. It intends to offer novel advances and applications of MIOT in a precise and clear manner to the research community to achieve in depth knowledge in the field.
Internet of Things and Data Mining for Modern Engineering and Healthcare Applications
This book aims to focus on the Internet of Things (IoT) and Data Mining for Modern Engineering and Healthcare Applications. It also focuses on recent technological advancements in Microwave Engineering, Communication and applicability of newly developed solid-state technologies in bio-medical engineering and healthcare.
Content-Based Image Classification
This book is a comprehensive guide to initiate and excel in researching with invaluable image data. This book has demonstrated several techniques of image processing to represent image data in desired format for information identification.
Applied Learning Algorithms for Intelligent Iot
Connectivity through the Internet of Things (IoT) processes and platforms combined with AI create the foundation of developing smart systems exhibiting intelligent behavior. The book illustrates promising and potential machine learning (ML) and deep learning (DL) algorithms through real-world and real-time business use cases.
Recommender Systems
Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufacturing, and retail. Recommender Systems: Algorithms and Applications dives into the theoretical underpinnings of these systems and looks at how this theory is applied and implemented in actual systems. The book examines several classes of recommendation algorithms, including Machine learning algorithms Community detection algorithms Filtering algorithms Various efficient and robust product recommender systems using machine learning algorithms are helpful in filtering and exploring unseen data by users for better prediction and extrapolation of decisions. These are providing a wider range of solutions to such challenges as imbalanced data set problems, cold-start problems, and long tail problems. This book also looks at fundamental ontological positions that form the foundations of recommender systems and explain why certain recommendations are predicted over others. Techniques and approaches for developing recommender systems are also investigated. These can help with implementing algorithms as systems and include A latent-factor technique for model-based filtering systems Collaborative filtering approaches Content-based approaches Finally, this book examines actual systems for social networking, recommending consumer products, and predicting risk in software engineering projects.
Soft Computing
This book explores Soft Computing techniques in a systematic manner starting from their initial stage to recent developments in this area. The book presents a survey of the existing knowledge and also the current state-of-the-art development through cutting-edge original new contributions from the researchers.
The Evolving Landscape of Ethical Digital Technology
Information and communication technology (ICT) has the potential to empower, to connect and to include but, alas, this is not always the case as, at times, it restricts, excludes, and divides. This book explores this paradox and examines ethical and social impacts of ICT. It highlights lessons learnt and those still to be learnt.
Virtual and Augmented Reality for Architecture and Design
This book is meant for practitioners and academics alike, as it examines specific aspects related to the use of new technologies in the field of Architecture and Design, highlighting its application in areas such as education, heritage, research, and methodologies.
Computational Intelligence for Information Retrieval
This book provides a thorough understanding of the integration of computational intelligence with information retrieval including content-based image retrieval using intelligent techniques, hybrid computational intelligence for pattern recognition, intelligent innovative systems, and protecting and analysing big data on cloud platforms.
AI for Behavioural Science
This book is a concise introduction to emerging concepts and ideas found at the intersection of contemporary behavioural science and artificial intelligence. It explores how these disciplines interact, change and adapt to one another, and what the implications of such an interaction are for practice and society.
Cloud IoT
IoT is based on intelligent self-configuring nodes interconnected in a dynamic and global collaborative network infrastructure. In contrast, Cloud computing has virtually unlimited capabilities in terms of storage and processing power, speed. Due to intrinsic nature of Cloud computing and IoT, they both complement each other.
Advanced Computational Techniques for Sustainable Computing
Sustainable computing is considered multi-disciplinary field encompassing advanced computational techniques across several domains and the core idea is to deploy algorithms, models, policies and protocols to improve energy efficiency and management of resources, recycling, ecological balance, biological sustenance on societal contexts
Sustainable and Advanced Applications of Blockchain in Smart Computational Technologies
This book concentrates on the sustainable applications of the Blockchain Technology across multiple latest computational knowledge domains. It will target the vast applications of Blockchain in the field of Internet of Things, Artificial Intelligence, and Cybersecurity.
Handbook of Green Engineering Technologies for Sustainable Smart Cities
This handbook focuses on the complete exploration and presentation of Green Smart City applications, techniques, and architectural frameworks. It provides detailed coverage of urban sustainability spanning across various engineering disciplines.
Continuous Delivery 2.0
This book introduces the theory and practice of the 'double-flywheels model' of Continuous Delivery 2.0: Discovery Loop, which allows IT organisations to help businesses figure out the most efficacious ways to develop.
Artificial Intelligence and Smart Agriculture Technology
This book explores the application use of machine learning and artificial intelligence in smart agriculture by Identifying and describing functional and non-functional technologies. It identifies and discusses smart agriculture capabilities and conceptual prototypes, as well as demonstrates critical technological solutions.
Bio-Inspired Optimization in Fog and Edge Computing Environments
The book examines the enhancement of the performance of fog networks for real-world applications using nature-based optimization techniques. It looks at the challenges in cloud datacenter nodes and fog computing networks and provides solutions. It covers such issues as security, privacy, and power consumption.
Comptia Network+ N10-009 Exam Cram
CompTIA Network+ N10-009 Exam Cram is an all-inclusive study guide designed to help you pass the updated version of the CompTIA Network+ exam. Prepare for test day success with complete coverage of exam objectives and topics, plus hundreds of realistic practice questions. Extensive prep tools include quizzes, Exam Alerts, and our essential last-minute review Cram Sheet. The powerful Pearson Test Prep practice software provides real-time assessment and feedback with two complete exams. Covers the critical information needed to score higher on your Network+ N10-009 exam! Establish network connectivity by deploying wired and wireless devices Learn the purpose of documentation and maintain network documentation Configure common network services Learn basic datacenter, cloud, and virtual networking concepts Monitor network activity and troubleshoot performance and availability issues Implement network security hardening techniques Manage, configure, and troubleshoot network infrastructure Prepare for your exam with Pearson Test Prep Realistic practice questions and answers Comprehensive reporting and feedback Customized testing in study, practice exam, or flash card modes Complete coverage of CompTIA Network+ N10-009 exam objectives
Next-Level Gaming
Explore the Future of GamingStep into a world where artificial intelligence revolutionizes the gaming industry, creating more immersive and personalized experiences for every player.Next-Level Gaming: AI Innovations unveils the groundbreaking journey of AI in video games, right from its humble beginnings to its sophisticated modern applications. Discover how this transformative technology is reshaping the landscape of entertainment and captivating gamers worldwide. This comprehensive guide is a treasure trove for developers, enthusiasts, and anyone fascinated by the intersection of AI and gaming.Dive into the rich history of AI's role in gaming, from early milestones to the masterminds driving innovation. Equip yourself with fundamental concepts, essential programming languages, and the algorithms that form the backbone of today's advanced gaming experiences. Marvel at how AI generates adaptive difficulty levels, creating personalized journeys that keep players on the edge of their seats.Imagine AI-driven NPCs that adapt and evolve based on your actions, or procedurally generated worlds that offer infinite exploration possibilities. Learn from compelling case studies of AI's triumph in popular games and understand how machine learning and neural networks are integral to modern game development.Peek into the future of real-time strategy and simulation games, where AI balances competitive play and enables unparalleled immersion in virtual realities. Uncover the ethical dilemmas inherent in AI gaming, such as privacy concerns, bias, and the pursuit of fairness.Finally, grasp how AI influences the business of gaming-monetization, marketing, and distribution-equipping you with insights to stay ahead in this dynamic field. With hands-on tutorials and recommended tools, you'll be ready to start your journey into AI game development.Next-Level Gaming: AI Innovations promises an enlightening adventure, merging cutting-edge technology with the artistry of game design. Don't miss your chance to explore the next frontier of gaming.
Cloud Network Management
This book provides a deep understanding of cloud computing, IoT, IoT based cloud architecture and IoT inter-networking with the cloud. It acts as a bridge between Internet-of-Things and Cloud Networking with a high degree of node mobility.
Fog Computing
Fog Computing: Concepts, Frameworks, and Applications is arranged in such a way that readers with no prior experience in Fog Computing may explore this domain. It is an accessible source of information for distributed computing researchers as well as professionals looking to improve their security and connectivity understanding in Internet of Things (IoT) devices. This book is also useful for researchers and professionals working in the field of wireless communication security and privacy research. This book is intended for students, professionals, researchers, and developers who are working in or interested in the field of Fog Computing. One of the book's distinguishing aspects is that it covers a variety of case studies and future possibilities in the field of Fog Computing.This book: Begins by covering the fundamental notions of Fog Computing to help readers grasp the technology, starting from the basics Explains Fog Computing architecture as well as the convergence of Fog, IoT, and Cloud Computing Provides an assessment of Fog Computing and its applications in the field of IoT Discusses the usage of software defined networking and machine learning algorithms as they apply to Fog Computing Describes the different security and privacy issues with Fog Computing and explores single point control systems for consumer devices using Edge-Fog Computing Outlines in detail how to leverage Blockchain technology in Fog Computing, as well as how to use Fog Computing in telemedicine and healthcare applications Examines the usage of communication protocols, simulation tools for Fog Computing implementation, and case studies in the fields of bioinformatics, disaster control, and IoT
Explainable Artificial Intelligence for Smart Cities
Thanks to rapid technological developments in terms of Computational Intelligence, smart tools have been playing active roles in daily life. It is clear that the 21st century has brought about many advantages in using high-level computation and communication solutions to deal with real-world problems; however, more technologies bring more changes to society. In this sense, the concept of smart cities has been a widely discussed topic in terms of society and Artificial Intelligence-oriented research efforts. The rise of smart cities is a transformation of both community and technology use habits, and there are many different research orientations to shape a better future.The objective of this book is to focus on Explainable Artificial Intelligence (XAI) in smart city development. As recently designed, advanced smart systems require intense use of complex computational solutions (i.e., Deep Learning, Big Data, IoT architectures), the mechanisms of these systems become 'black-box' to users. As this means that there is no clear clue about what is going on within these systems, anxieties regarding ensuring trustworthy tools also rise. In recent years, attempts have been made to solve this issue with the additional use of XAI methods to improve transparency levels. This book provides a timely, global reference source about cutting-edge research efforts to ensure the XAI factor in smart city-oriented developments. The book includes both positive and negative outcomes, as well as future insights and the societal and technical aspects of XAI-based smart city research efforts. This book contains nineteen contributions beginning with a presentation of the background of XAI techniques and sustainable smart-city applications. It then continues with chapters discussing XAI for Smart Healthcare, Smart Education, Smart Transportation, Smart Environment, Smart Urbanization and Governance, and Cyber Security for Smart Cities.
Cognitive Computing for Internet of Medical Things
This book offers a complete assessment of the present scenario, role, challenges, technologies, and impact of IoMT-enabled smart healthcare systems. It contains chapters discussing various biomedical applications under the umbrella of the IoMT.
Artificial Intelligence in Information and Communication Technologies, Healthcare and Education
This book is designed as a reference text and discusses inter-dependability, communication and effective control for the betterment of services through artificial intelligence, as well as the challenges and path ahead for AI in computing and control across different domains of business and human life.
Topological Dynamics in Metamodel Discovery with Artificial Intelligence
Dealing with artificial intelligence, this book delineates AI's role in model discovery for dynamical systems. With the implementation of topological methods to construct metamodels, it engages with levels of complexity and multi-scale hierarchies hitherto considered off limits for data science.
Cissp Cert Guide
In this comprehensive study guide, two leading experts help you master all the topics you need to know to succeed on the latest CISSP exam and advance your career in IT security. Their concise, focused approach explains every exam objective from a real-world perspective, helping you quickly identify weaknesses and retain everything you need to know. Every feature of this book supports both efficient exam preparation and long-term mastery: Opening Topics Lists identify the topics you need to learn in each chapter and list (ISC)簡's official exam objectives Key Topic figures, tables, and lists call attention to the information that's most crucial for exam success Exam Preparation Tasks enable you to review key topics, complete memory tables, define key terms, work through scenarios, and answer review questions...going beyond mere facts to master the concepts that are crucial to passing the exam and enhancing your career Key Terms are listed in each chapter and defined in a complete glossary, explaining all the field's essential terminology This study guide helps you master all the topics on the latest CISSP exam, deepening your knowledge of: Security and Risk Management Asset Security Security Architecture and Engineering Communication and Network Security Identity and Access Management (IAM) Security Assessment and Testing Security Operations Software Development Security
