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CompTIA Advanced Security Practitioner (CASP+) is the highest level certification in CompTIA's cybersecurity pathway after Security+, CySA+, and PenTest+. The CASP+ certification was accredited by the International Organization for Standardization (ISO) and the American National Standards Institute (ANSI) on December 13, 2011. [ 3 ]
One year may be waived for having either a four-year college degree, a master's degree in Information Security, or for possessing one of a number of other certifications. [18] A candidate without the five years of experience may earn the Associate of ISC2 designation by passing the required CISSP examination, valid for a maximum of six years.
The first edition (1986) is informally called the "red dragon book" to distinguish it from the second edition [5] and from Aho & Ullman's 1977 Principles of Compiler Design sometimes known as the "green dragon book". [5] Topics covered in the first edition include: Compiler structure; Lexical analysis (including regular expressions and finite ...
The second exam is the Principles and Practice of Engineering exam. The FE exam is open to anyone with a degree in engineering or a related field, or currently enrolled in the last year of an Accreditation Board for Engineering and Technology (ABET) accredited engineering degree program. Some state licensure boards permit students to take it ...
Apple Service Fundamentals Exam (Pearson Vue exam: #SVC-16A) ACMT 2016 Mac Service Certification Exam(Pearson Vue exam: #MAC-16A) [ 1 ] [ 2 ] Previously, the hardware certification came in the combination of Apple Certified Desktop Technician (ACDT) and Apple Certified Portable Technician (ACPT), but has been combined into a single hardware ...
AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...
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