DG分区工具指派盘符时出现错误为：指派驱动器号时出现错误(00000002)，可通过安装该驱动文件解决。

RHCE Certification Lab(Volume 1)

RHCE Certification Lab(Volume 2)

sun storage VERITAS Volume Manager 4.1 Administration 311

sun storage ES Solaris Volume Manager Administration

ZFS improves everything about systems administration. Once you peek under the hood, though, ZFS’ bewildering array of knobs and tunables can overwhelm anyone. ZFS experts can make their servers zing—and now you can, too, with FreeBSD Mastery: Advanced ZFS. This small book teaches you to: • Use boot environments to make the riskiest sysadmin tasks boring • Delegate filesystem privileges to users • Containerize ZFS datasets with jails • Quickly and efficiently replicate data between machines • split layers off of mirrors • optimize ZFS block storage • handle large storage arrays • select caching strategies to improve performance • manage next-generation storage hardware • identify and remove bottlenecks • build screaming fast database storage • dive deep into pools, metaslabs, and more! Whether you manage a single small server or international datacenters, simplify your storage with FreeBSD Mastery: Advanced ZFS. Table of Contents Chapter 0: Introduction Chapter 1: Boot Environments Chapter 2: Delegation and Jails Chapter 3: Sharing Datasets Chapter 4: Replication Chapter 5: ZFS Volumes Chapter 6: Advanced Hardware Chapter 7: Caches Chapter 8: Performance Chapter 9: Tuning Chapter 10: ZFS Potpourri

Write Great Code, Volume 2 Thinking Low Level Writing High Level

CFA Curriculum_L1_2016_Volume 1

Mathematical Statistics: Basic Ideas and Selected Topics, Volume I, Second Edition presents fundamental, classical statistical concepts at the doctorate level. It covers estimation, prediction, testing, confidence sets, Bayesian analysis, and the general approach of decision theory. This edition gives careful proofs of major results and explains how the theory sheds light on the properties of practical methods. The book first discusses non- and semiparametric models before covering parameters and parametric models. It then offers a detailed treatment of maximum likelihood estimates (MLEs) and examines the theory of testing and confidence regions, including optimality theory for estimation and elementary robustness considerations. It next presents basic asymptotic approximations with one-dimensional parameter models as examples. The book also describes inference in multivariate (multiparameter) models, exploring asymptotic normality and optimality of MLEs, Wald and Rao statistics, generalized linear models, and more.

提供7种科幻类型的特效，具体题目上有，大家有需要可直接下载使用。