SCJP Exam - Sun Certified Programmer for Java - Questions (310-035)v6.0.pdf2007-10-18
SCJP Exam - Sun Certified Programmer for Java - Questions (310-035)v6.0.pdf
CISA-real test questions before.pdf2008-10-03
CISA-real test questions before.pdf
PCIe5.0 规范V1.0 PCI Express® Base Specification Revision 5.0 Version 1.0 22 May 2019 Copyright © 2002-2019 PCI-SIG ® PCI, PCI Express, PCIe, and PCI-SIG are trademarks or registered trademarks of PCI-SIG. All other product names are trademarks, registered trademarks, or servicemarks of their respective owners. Contact PCI-SIG Membership Services for questions about membership in the PCI-SIG or to obtain the latest revision of this specification. Contact PCI-SIG Technical Support for technical questions about this specification. DISCLAIMER PCI-SIG disclaims all warranties and liability for the use of this document and the information contained herein and assumes no responsibility for any errors that may appear in this document, nor does PCI-SIG make a commitment to update the information contained herein. This PCI Specification is provided “as is” without any warranties of any kind, including any warranty of merchantability, non-infringement, fitness for any particular purpose, or any warranty otherwise arising out of any proposal, specification, or sample. PCI-SIG disclaims all liability for infringement of proprietary rights, relating to use of information in this specification. This document itself may not be modified in any way, including by removing the copyright notice or references to PCI-SIG. No license, express or implied, by estoppel or otherwise, to any intellectual property rights is granted herein. PCI, PCI Express, PCIe, and PCI-SIG are trademarks or registered trademarks of PCI-SIG. All other product names are trademarks, registered trademarks, or servicemarks of their respective owners.
CFA三级备考资料FinQuiz - CFA Level 3- Smart Summary.pdf.zip2020-01-24
CFA三级备考资料FinQuiz - CFA Level 3- Smart Summary.pdf.zip CFA 2020 Level 3 - Finquiz Formula Sheet, Smart Summaries, Notes, Item-set Questions, Mock Exam
Prince2 Foundation认证 Exams题库 (2013-2015) PDF + VCE格式2016-01-30
文件列表： PRINCE2 Foundation Exam Sample Paper 1 - January 13 Release - Answer Key.pdf PRINCE2 Foundation Exam Sample Paper 1 - January 13 Release - Rationale.pdf PRINCE2 Foundation Exam Sample Paper 1 - January 13 Release.pdf english_answer_key_sample_exam_2_prince2_foundation_201311.pdf english_feedback_sample_exam_2_prince2_foundation_201311.pdf english_pr2f_syllabus_201401.pdf english_pr2p_syllabus_201401.pdf english_questions_sample_exam_1_prince2_foundation_201509.pdf english_questions_sample_exam_2_prince2_foundation_201311.pdf english_rationales_sample_exam_1_prince2_foundation_201510.pdf english_sample_exam_pr2p_FX02_112013.pdf english_sample_exam_pr2p_FX03_112013.pdf Exin.ActualTests.EX0-002.v2014-10-27.by.AntiEgyptCoup.144q.pdf Exin.Braindumps.PR2F.v2015-03-14.by.Dewayne.244q.pdf Exin.Testkings.PR2F.v2015-03-19.by.Ellwood.241q.pdf FX02 PRINCE2 Sample Practitioner Paper - v1.5.pdf FX03 PRINCE2 Sample Practitioner Paper - v1.4.pdf gratisexam.com-Exin.ActualTests.EX0-002.v2014-10-27.by.AntiEgyptCoup.144q.vce gratisexam.com-Exin.Braindumps.PR2F.v2015-03-14.by.Dewayne.244q.vce gratisexam.com-Exin.Testkings.PR2F.v2015-03-19.by.Ellwood.241q.vce PRINCE2.Actualtests.PRINCE2-Foundation.v2015-05-18.by.Elbert.120q.pdf PRINCE2.Actualtests.PRINCE2-Foundation.v2015-05-18.by.Elbert.120q.vce PRINCE2.Braindumps.PRINCE2-Foundation.v2015-03-13.by.Deborah.150q.pdf PRINCE2.Braindumps.PRINCE2-Foundation.v2015-03-13.by.Deborah.150q.vce PRINCE2.Braindumps.PRINCE2-Foundation.v2015-03-19.by.Eloisa.150q.pdf PRINCE2.Braindumps.PRINCE2-Foundation.v2015-03-19.by.Eloisa.150q.vce PRINCE2.Certkiller.PRINCE2-Foundation.v2015-03-27.by.Lola.138q.pdf PRINCE2.Certkiller.PRINCE2-Foundation.v2015-03-27.by.Lola.138q.vce PRINCE2.passguide.PRINCE2-Foundation.v2015-05-11.by.Russel.105q.pdf PRINCE2.passguide.PRINCE2-Foundation.v2015-05-11.by.Russel.105q.vce PRINCE2.Realtests.PRINCE2-Foundation.v2015-03-26.by.Elouise.150q.pdf PRINCE2.Realtests.PRINCE2-Foundation.v2015-03-26.by.Elouise.150q.vce PRINCE2.Testking.PRINCE2-Foundation.v2015-04-08.by.Randolph.150q.pdf PRINCE2.Testking.PRINCE2-Foundation.v2015-04-08.by.Randolph.150q.vce
Revised for the 2015 update to the CompTIA Linux+/LPIC-1 objectives, this value-packed exam guide covers the leading vendor-neutral credential for Linux and comes with a virtual machine configured for hands-on exercises, video training, and hundreds of practice exam questions. Get complete coverage of all the objectives included on CompTIA Linux+ exams LX0-103 and LX0-104 and LPIC-1 exams 101-400 and 102-400 from this up-to-date resource. Written by a Linux expert and technology trainer, the book provides learning objectives at the beginning of each chapter, exam tips, practice exam questions, and in-depth answer explanations. Designed to help you pass these challenging exams, this definitive volume also serves as an essential on-the-job reference. Covers all exam topics, including how to: Work with the Linux shell Use the vi text editor Manage Linux files and directories Install Linux and manage the boot process Configure the graphical environment Manage software and hardware Manage users, groups, file systems, and processes Administer ownership, permissions, and quotas Write shell scripts Manage network settings and services Secure Linux and use encryption Electronic content includes: 200+ practice exam questions Virtual machine with custom configurations for select chapter exercises 50+ video clips PDF copy of the book Save 10% on CompTIA exam vouchers for any CompTIA certification! See inside the book for details. Table of Contents Chapter 1 An Introduction to Linux Chapter 2 Working with the Linux Shell Chapter 3 Using the vi Text Editor Chapter 4 Managing Linux Files and Directories Chapter 5 Installing Linux Chapter 6 Managing the Linux Boot Process Chapter 7 Managing the Graphical Environment Chapter 8 Managing Linux Software Chapter 9 Managing Linux Users and Groups Chapter 10 Managing Linux File Systems Chapter 11 Managing Ownership, Permissions, and Quotas Chapter 12 Managing Hardware Under Linux Chapter 13 Managing Linux Processes Chapter 14 Writing Shell Scripts Chapter 15 Managing Linux Network Settings Chapter 16 Managing Network Services on Linux Chapter 17 Securing Linux Chapter 18 Using Encryption Appendix A Pre-Assessment Test Appendix B About the Download
Contents 1. Inputs and outputs of Physical Design 2. Checks and care about before starting the Design 3. Floorplanning 4. Power planning 5. Placement 6. Clocktree synthesis - CTS 7. Clocktree Optimization - CTO 8. Routing 9. Design Rule check - DRC 10. LVS 11. Parasitic Extraction 12. Power Analysis 13. Crosstalk Analysis 14. Electron Migration 15. Timing Analysis 16. Chip Finishing (DFM or DFY) 17. Low-power Techniques 18. Designs Executed (Projects) 19. Multi-Voltage Design 20. Physical Design objective type questions and answers 21. ASIC Design check list 22. Companies interview questions
Sample questions of Fundamental Engineering exam in US
Nginx HTTP Server, 4th Edition-Packt Publishing(2018).epub2018-03-20
It is a well-known fact that the web server market has a long-established leader: Apache. According to recent surveys, as of October 2015, almost 35 percent of the World Wide Web is served by this 20-year-old open source application. However, for the past few years, the same reports reveal the rise of a new competitor: Nginx, a lightweight HTTP server originating from Russia—pronounced engine X. There have been many questions surrounding this young web server. What is the reason causing so many server administrators to switch to Nginx since the beginning of year 2009? Is this tiny piece of software mature enough to run my high-traffic website? To begin with, Nginx is not as young as one might think. Originally started in 2002, the project was first carried out by a standalone developer, Igor Sysoev, for the needs of an extremely high-traffic Russian website, namely Rambler, which received as of September 2008 over 500 million HTTP requests per day. The application is now used to serve some of the most popular websites on the web, such as Reddit, Wikipedia, WordPress, Dropbox, and many more. Nginx has proven to be a very efficient, lightweight yet powerful web server. Throughout this book, you will discover many features of Nginx and progressively understand why so many administrators have decided to place their trust in this new HTTP server, often at the expense of Apache. There are many aspects in which Nginx is more efficient than its competitors, first and foremost, speed: making use of asynchronous sockets, Nginx does not spawn processes as many times as it receives requests. One process per core suffices to handle thousands of connections, allowing a much lighter CPU load and memory consumption. Second, ease of use: configuration files are much simpler to read and tweak than with other web server solutions, such as Apache. A couple of lines are enough to set up a complete virtual host configuration. Last but not least, modularity: not only is Nginx a completel
CFA三级备考资料FinQuiz - CFA Level 3- Notes.pdf.zip2020-01-24
CFA三级备考资料FinQuiz - CFA Level 3- Notes.pdf.zip CFA 2020 Level 3 - Finquiz Formula Sheet, Smart Summaries, Notes, Item-set Questions, Mock Exam
Mobile SmartLife via Sensing, Localization, and Cloud Ecosystems-CRC(2018).pdf2018-02-07
Our lifestyle is changing dramatically with the ubiquity of mobile devices and network connectivity. By seamlessly collecting advanced data related to human activity, and providing responsive actions and services to users, developers can maximize the functionality of mobile devices, thereby improving livability, convenience and safety, and ultimately enabling a smart life. The spatial and contextual data, i.e., users’ locations as well as their interaction with the cyber and physical world, has been a decisive driver for the ongoing trend towards smart and connected applications to date. Context-aware location sensing is the cornerstone of this vision. Over the past few years, a broad variety of services have been targeted to revolution- ize how people sense and interact with everyday objects and locations to- wards a smart life. For example, sensor networks provide realtime activity data for heating/air conditioning systems and fire and smoke detectors, GPS and WLAN systems provide way-finding and coarse-grained location services, RFID and short-range communication devices provide proximity detection and awareness. However, these separate and usually proprietary systems are far from satisfactory. The major metrics of these spatial enabling technolo- gies, most notably accuracy, interoperability, and deployability performance, are far from satisfactory. Significant gaps exist in our understanding of how a scalable location sensing system design could meet a multitude of smart application demands. Moreover, no extensible and developer-friendly system frameworks are available for location and smart applications. Developers do not have any testbed or prototype system available for them to play with. Senior developers are reluctant to extend and debug their existing prototype infrastructures since the errors and software deficiencies are hard to identify in the distributed manner. Large-scale deployment is rarely available and hard to share with junior developers for partial or temporal development. xxiii xxiv Towards Mobile SmartLife via Sensing, Localization, & Cloud Ecosystems Our overarching goal is to develop an intellectual framework and a location infrastructure testbed to promote and guide the developers to realize the full- fledged smart applications for a smart lifestyle, to address societal challenges in local communities. We aim to offer a comprehensive book on a complete mobile system design for SmartLife applications. This book is structured to be a complete and updated guide for building the ecosystem step by step from the hardware to mobile apps, to the cloud processing and service back- end. Beginners can start from the initial introductory and tutorial chapters while advanced readers can learn directly from the algorithms and prototype design. Practitioners can find inspiration for utilizing the proposed localization techniques in a variety of mobile applications including shopping map, indoor navigation, visitor guide, augmented reality, and location-based social-aided sensing/sourcing. We have tested and verified the information in this book to the best of our ability, but you may find that features have changed (which may in fact resemble bugs). Please let us know about any errors you find, as well as your suggestions for future editions, by writing to the following address. Please get in touch (firstname.lastname@example.org) if you know of services that are missing, or have other questions or suggestions. I hope this book will give you a good head start and that you have fun in the process.
Study for the OCP Java SE 8 Programmer II exam using this effective exam preparation guide from Oracle Press. Written by a team of experts, including two developers of the original exam, OCP Java SE 8 Programmer II Exam Guide (Exam 1Z0-809) offers comprehensive coverage of every subject on the test and lays out essential Java programming skills. Throughout, step-by-step exercises; self-tests; and “Exam Watch,” “Inside the Exam,” and “On the Job” sections highlight salient points and aid in learning. In all, the book and accompanying digital content feature more than 350 practice questions that mirror those on the live test in tone, format, and content.
Big Data and Computational Intelligence in Networking-CRC(2018).pdf2018-02-09
Recent years have witnessed a deluge of network data propelled by the emerging online social media, user-generated video contents, and global-scale communi- cations, bringing people into the era of big data. Such network big data holds much critical and valuable information including customer experiences, user behaviors, service levels, and other contents, which could significantly improve the efficiency, effectiveness, and intelligence on the optimization of the current Internet, facilitate the smart network operation and management, and help service providers and content providers reduce capital expenditure (CapEx) and opera- tional expenditure (OpEx) while maintaining a relatively high-level quality of service (QoS) and quality of experience (QoE). Typical examples of network intelligence received from network big data include rapid QoE impairment detection and mitigation, optimization of network asset utilization, proactive maintenance, rapid outage restoration, and graceful disaster recovery. These aims can be achieved from high-level computational intelligence based on emerging analytical techniques such as big data pro- cessing, Web analytics, and network analytics employing software tools from advanced analytics disciplines such as machine learning, data mining, and pre- dictive analytics. The computational intelligence for big data analysis is playing an ever-increasingly important role in supporting the evolution of the current Internet toward the next-generation intelligent Internet. However, the unstructured, heterogeneous, sheer volume and complex nature of network big data pose great challenges on the computational intelligence of these emerging analytical techniques due to high computational overhead and communication cost, non-real-time response, sparse matrix-vector multi- plications, and high convergence time. It is therefore of critical importance to understand network big data and design novel solutions of computational intelligence, scaling up for big data analytics of large-scale networks to auto- matically discover the hidden and valuable information available for smart network operations, management, and optimization. This has been established as ix x Preface a new cross-discipline research topic in computer science, requiring anticipation of technical and practical challenges faced by mixed methods across multiple disciplines. In this book, we have invited world experts in this area to contribute the chapters that cover the following four parts: 1. Part1:BasicsofNetworkedBigData:Thisparthelpsunderstandtheprop- erties, characteristics, challenges, and opportunities of networked big data, geospatial data, and wireless big data. This part covers the following: a. Mathematical properties: A variety of aspects related to networks, including their topological and dynamical properties, as well as their applications to real-world examples b. Geospatial data and geospatial semantic web: Challenges and opportunities of the geospatial semantic web brought for sharing and utilizing big geospatial data c. Big data over wireless networks: Typical scenarios, various chal- lenges, and potential solutions for wireless transmission of big data 2. Part 2: Network Architecture for Big Data Transmissions: This part presents new proposals and network architectures to ensure efficient big data transmissions and streaming big data processing. a. Big data transfer: Challenges of bandwidth reservation service for efficient big data transfer and the potential solutions b. Internet of Things (IoT): A dynamic and independent Cloud com- puting architecture based on a service-oriented architecture for IoT devices, to allow users to freely transfer their IoT devices from one vendor to another c. Streamingbigdataprocessing:HowtomaximizeQoSandminimize OpEx when performing task scheduling and resource allocation in geo-distributed Clouds 3. Part3:AnalysisandProcessingofNetworkedBigData:Thispartexplains how to perform big data analytics based on emerging analytical techniques such as big data analytics, Web analytics, network analytics, and advanced analytics disciplines such as machine learning, data mining, and predictive analytics. This part covers the following areas: a. Alternatingdirectionmethodofmultiplier(ADMM):Itsapplications to large-scale network optimizations b. Dynamicnetworkmanagementandoptimization:Rethinkofcurrent network analysis, management and operation practices; impact of Preface xi network evolution on the computation of key network metrics; hyperbolic big data analytics c. Predictiveanalyticsandsmartretrieval:Utilizethenetworkbigdata by performing a data, information, knowledge, and wisdom (DIKW) hierarchy to the product of its processes d. Recommendation systems: Key challenges and solutions for data sparsity problem, data scale issue, and cold-start problem e. Coordinate gradient descent methods: Unconstrained convex mini- mization problems with differentiable objective function in network problems f. MapReduce: Data locality and dependency analysis; dependency- aware locality for MapReduce g. Distributed machine learning: Big data and big models for network big data; how to parallelize parameter updates on multiple work- ers; how to synchronize concurrent parameter updates performed by multiple workers h. Biggraph:Biggraphdecomposition;real-timeandlarge-scalegraph processing; big data security 4. Part 4: Emerging Applications of Networked Big Data: This part covers some emerging applications on the following: a. Intelligent mall shopping: Location-based mobile augmented real- ity applications; using network data to enable intelligent shopping; robust feature learning in cold-start heterogeneous-device localiza- tion; learning to query in the cold-start retailer content b. Networkanomalydetection:Howtoefficientlyusenetworkbigdata to perform accurate anomaly detection c. Transportation: Advances of spatial network big data (SNBD) tech- niques; challenges posed by SNBD in transportation applications and the potential solutions d. Biomedical and social media domain: Graph as a representation schema for big data; graph-based models and analyses in social text mining, and bioinformatics and biomedical e. Smart manufacturing: Big data characteristics in manufacturing; data collection and data mining in manufacturing; applications of big data in manufacturing. This book presents the state-of-the-art solutions to the theoretical and prac- tical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimiza- tion. In particular, the technical focus covers the comprehensive understanding xii Preface of network big data, efficient collection and management of network big data, distributed and scalable online analytics for network big data, and emerging applications of network big data for computational intelligence. Targeted audiences: This book targets both academia and industry readers. Grad- uate students can select promising research topics from this book that are suitable for their thesis or dissertation research. Researchers will have a deep under- standing of the challenging issues and opportunities of network big data and can thus easily find an unsolved research problem to pursue. Industry engineers from IT companies, service providers, content providers, network operators, and equipment manufacturers can get to know the engineering design issues and cor- responding solutions after reading some practical schemes described in some chapters. We have required all chapter authors to provide as much technical detail as possible. Each chapter also includes references for readers’ further studies and investigations. If you have any comments or questions on certain chapters, please contact the chapter authors for more information. Thank you for reading this book. We wish that this book will help you with the scientific research and practical problems of network big data.
The National Institute of Standards and Technology (NIST) is responsible for developing standards and guidelines, including minimum requirements, used by federal agencies in providing adequate information security for the protection of agency operations and assets. Pursuant to this mission, NIST’s Information Technology Laboratory (ITL) has developed guidelines to improve the efficiency and effectiveness of information technology (IT) planning, implementation, management, and operation. NIST publishes a wide variety of publications on information security. These publications serve as a valuable resource for federal agencies, as well as public, nonfederal agencies and private organizations, seeking to address existing and new federal information security requirements. One such set of federal information security requirements are the security standards adopted by the Secretary of Health and Human Services (HHS) under the Health Insurance Portability and Accountability Act of 1996 (HIPAA, Public Law 104-191). HIPAA required the Secretary to adopt, among other standards, security standards for certain health information. These standards, known as the HIPAA Security Rule (the Security Rule), were published on February 20, 2003. In the preamble to the Security Rule, several NIST publications were cited as potentially valuable resources for readers with specific questions and concerns about IT security. Congress enacted the Administrative Simplification (part of Title II) provisions of HIPAA to, among other things, promote efficiency in the healthcare industry through the use of standardized electronic transactions, while protecting the privacy and security of health information. Pursuant to the Administrative Simplification provisions of HIPAA, the Secretary of HHS adopted standards relating to: • Electronic healthcare transactions and code sets; • Privacy of protected health information; • Security of electronic protected health information (EPHI); and • Unique health identifiers. This Special Publication summarizes the HIPAA security standards and explains some of the structure and organization of the Security Rule. The publication helps to educate readers about information security terms used in the HIPAA Security Rule and to improve understanding of the meaning of the security standards set out in the Security Rule. It is also designed to direct readers to helpful information in other NIST publications on individual topics addressed by the HIPAA Security Rule. Readers can draw upon these publications for consideration in implementing the Security Rule. This publication is intended as an aid to understanding security concepts discussed in the HIPAA Security Rule, and does not supplement, replace, or supersede the HIPAA Security Rule itself. While the Centers for Medicare and Medicaid Services (CMS) mentioned several NIST publications in the preamble to the HIPAA Security Rule, CMS does not require their use in complying with the Security Rule.1