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ISC2 CCSP : Certified Cloud Security Professional (CCSP) Exam

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Test Number : CCSP
Test Name : Certified Cloud Security Professional (CCSP)
Vendor Name : ISC2
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CCSP test Format | CCSP Course Contents | CCSP Course Outline | CCSP test Syllabus | CCSP test Objectives


CCSP Examination Information
Exam Duration : 3 hours
Number of questions : 125
Format : Multiple Choice
Passing scores : 700 out of 1000 points
Exam availability : English
Testing center : Pearson VUE Testing Center

About CCSP
(ISC) and the Cloud Security Alliance (CSA) developed the Certified Cloud Security Professional (CCSP) credential to ensure that cloud security professionals have the required knowledge, skills, and abilities in cloud security design, implementation, architecture, operations, controls, and compliance with regulatory frameworks. A CCSP applies information security expertise to a cloud computing environment and demonstrates competence in cloud security architecture, design, operations, and service orchestration. This professional competence is measured against a globally recognized body of knowledge. The CCSP is a standalone credential that complements and builds upon existing credentials and educational programs, including (ISC)s Certified Information Systems Security Professional (CISSP) and CSAs Certificate of Cloud Security Knowledge (CCSK).

The syllabus included in the CCSP Common Body of Knowledge (CBK) ensure its relevancy across all disciplines in the field of cloud security. Successful candidates are competent in the following 6 domains:
• Cloud Concepts, Architecture and Design
• Cloud Data Security
• Cloud Platform & Infrastructure Security
• Cloud Application Security
• Cloud Security Operations
• Legal, Risk and Compliance

Domains Weight
1. Cloud Concepts, Architecture and Design 17%
2. Cloud Data Security 19%
3. Cloud Platform & Infrastructure Security 17%
4. Cloud Application Security 17%
5. Cloud Security Operations 17%
6. Legal, Risk and Compliance 13%
Total: 100%

Domain 1:
Cloud Concepts, Architecture and Design
1.1 Understand Cloud Computing Concepts
» Cloud Computing Definitions
» Cloud Computing Roles (e.g., cloud service customer, cloud service provider, cloud service partner, cloud service broker)
» Key Cloud Computing Characteristics (e.g., on-demand self-service, broad network access, multi-tenancy, rapid elasticity and scalability, resource pooling, measured service)
» Building Block Technologies (e.g., virtualization, storage, networking, databases, orchestration)
1.2 Describe Cloud Reference Architecture
1.3 Understand Security Concepts Relevant to Cloud Computing
1.4 Understand Design Principles of Secure Cloud Computing
» Cloud Secure Data Lifecycle
» Cloud based Disaster Recovery (DR) and Business Continuity (BC) planning
» Cost Benefit Analysis
» Functional Security Requirements (e.g., portability, interoperability, vendor lock-in)
» Security Considerations for Different Cloud Categories (e.g., Software as a Service (SaaS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS))
1.5 Evaluate Cloud Service Providers
» Verification Against Criteria (e.g., International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 27017, Payment Card Industry Data Security Standard (PCI DSS))
» System/subsystem Product Certifications (e.g., Common Criteria (CC), Federal Information Processing Standard (FIPS) 140-2)
» Cloud Computing Activities
» Cloud Service Capabilities (e.g., application capability types, platform capability types, infrastructure capability types)
» Cloud Service Categories (e.g., Software as a Service (SaaS), Infrastructure as a Service (IaaS), Platform as a Service (PaaS))
» Cloud Deployment Models (e.g., public, private, hybrid, community)
» Cloud Shared Considerations (e.g., interoperability, portability, reversibility, availability, security, privacy, resiliency, performance, governance, maintenance and versioning, service levels and Service Level Agreements (SLA), auditability, regulatory)
» Impact of Related Technologies (e.g., machine learning, artificial intelligence, blockchain, Internet of Things (IoT), containers, quantum computing)
» Cryptography and Key Management
» Access Control
» Data and Media Sanitization (e.g., overwriting, cryptographic erase)
» Network Security (e.g., network security groups)
» Virtualization Security (e.g., hypervisor security, container security)
» Common Threats

2.1 Describe Cloud Data Concepts
» Cloud Data Life Cycle Phases
» Data Dispersion
2.2 Design and Implement Cloud Data Storage Architectures
» Storage Types (e.g. long term, ephemeral, raw-disk)
» Threats to Storage Types
2.3 Design and Apply Data Security Technologies and Strategies
2.4 Implement Data Discovery
» Structured Data
» Unstructured Data
2.5 Implement Data Classification
» Mapping
» Labeling
» Sensitive data (e.g., Protected Health Information (PHI), Personally Identifiable Information (PII), card holder data)
2.6 Design and Implement Information Rights Management (IRM)
» Objectives (e.g., data rights, provisioning, access models)
» Appropriate Tools (e.g., issuing and revocation of certificates)
Domain 2:
Cloud Data Security
» Encryption and Key Management
» Hashing
» Masking
» Tokenization
» Data Loss Prevention (DLP)
» Data Obfuscation
» Data De-identification (e.g., anonymization)
2.7 Plan and Implement Data Retention, Deletion and Archiving Policies
» Data Retention Policies
» Data Deletion Procedures and Mechanisms
» Data Archiving Procedures and Mechanisms
» Legal Hold
2.8 Design and Implement Auditability, Traceability and Accountability of Data Events
» Definition of Event Sources and Requirement of Identity Attribution
» Logging, Storage and Analysis of Data Events
» Chain of Custody and Non-repudiation
Comprehend Cloud Infrastructure Components
3.2 Design a Secure Data Center
» Logical Design (e.g., tenant partitioning, access control)
» Physical Design (e.g. location, buy or build)
» Environmental Design (e.g., Heating, Ventilation and Air Conditioning (HVAC), multi-vendor pathway connectivity)
3.3 Analyze Risks Associated with Cloud Infrastructure
3.4 Design and Plan Security Controls
3.5 Plan Disaster Recovery (DR) and Business Continuity (BC)
Domain 3:
Cloud Platform and Infrastructure
Security
» Physical Environment
» Network and Communications
» Compute
» Virtualization
» Storage
» Management Plane
» Risk Assessment and Analysis
» Cloud Vulnerabilities, Threats and Attacks
» Virtualization Risks
» Counter-measure Strategies
» Physical and Environmental Protection (e.g., on-premise)
» System and Communication Protection
» Virtualization Systems Protection
» Identification, Authentication and Authorization in Cloud Infrastructure
» Audit Mechanisms (e.g., log collection, packet capture)
» Risks Related to the Cloud Environment
» Business Requirements (e.g., Recovery
Time Objective (RTO), Recovery Point
Objective (RPO), Recovery Service Level (RSL))
» Business Continuity/Disaster Recovery Strategy
» Creation, Implementation and Testing of Plan
4.1 Advocate Training and Awareness for Application Security
» Cloud Development Basics
» Common Pitfalls
» Common Cloud Vulnerabilities
4.2 Describe the Secure Software Development Life Cycle (SDLC) Process
» Business Requirements
» Phases and Methodologies
4.3 Apply the Secure Software Development Life Cycle (SDLC)
4.4 Apply Cloud Software Assurance and Validation
» Functional Testing
» Security Testing Methodologies
4.5 Use Tested Secure Software
» Approved Application Programming Interfaces (API)
» Supply-chain Management
» Third Party Software Management
» Validated Open Source Software
» Avoid Common Vulnerabilities During
Development
» Cloud-specific Risks
» Quality Assurance
» Threat Modeling
» Software Configuration Management and Versioning
4.6 Comprehend the Specifics of Cloud Application Architecture
» Supplemental Security components (e.g., Web Application Firewall (WAF), Database Activity Monitoring (DAM), Extensible Markup Language (XML) firewalls, Application Programming Interface (API) gateway)
» Cryptography
» Sandboxing
» Application Virtualization and Orchestration
4.7 Design Appropriate Identity and Access Management (IAM) Solutions
» Federated Identity
» Identity Providers
» Single Sign-On (SSO)
» Multi-factor Authentication
» Cloud Access Security Broker (CASB)
5.1 Implement and Build Physical and Logical Infrastructure for Cloud Environment
» Hardware Specific Security Configuration Requirements (e.g., Basic Input Output System (BIOS), settings for virtualization and Trusted Platform Module (TPM), storage controllers, network controllers)
» Installation and Configuration of Virtualization Management Tools
» Virtual Hardware Specific Security Configuration Requirements (e.g., network, storage, memory, Central Processing Unit (CPU))
» Installation of Guest Operating System (OS) Virtualization Toolsets
5.2 Operate Physical and Logical Infrastructure for Cloud Environment
5.3 Manage Physical and Logical Infrastructure for Cloud Environment
Domain 5:
Cloud Security Operations
» Access Controls for Remote Access (e.g., Remote
Desktop Protocol (RDP), Secure Terminal Access, Secure Shell (SSH))
» Operating System (OS) Baseline Compliance Monitoring and Remediation
» Patch Management
» Performance and Capacity Monitoring (e.g., network, compute, storage, response time)
» Hardware Monitoring (e.g., Disk, Central Processing Unit (CPU), fan speed, temperature)
» Configuration of Host and Guest Operating System (OS) Backup and Restore Functions
» Network Security Controls (e.g., firewalls, Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS), honeypots, vulnerability assessments, network security groups)
» Management Plane (e.g., scheduling, orchestration, maintenance)
» Configure Access Control for Local and Remote
Access (e.g., Secure Keyboard Video Mouse (KVM), console-based access mechanisms, Remote Desktop Protocol (RDP))
» Secure Network Configuration (e.g., Virtual Local Area Networks (VLAN), Transport Layer Security (TLS), Dynamic Host Configuration Protocol (DHCP), Domain Name System (DNS), Virtual
Private Network (VPN))
» Operating System (OS) Hardening Through the Application of Baselines (e.g., Windows, Linux, VMware)
» Availability of Stand-Alone Hosts
» Availability of Clustered Hosts (e.g., Distributed Resource Scheduling (DRS), Dynamic Optimization (DO), storage clusters, maintenance mode, High Availability)
» Availability of Guest Operating System (OS)
5.4 Implement Operational Controls and Standards (e.g., Information Technology Infrastructure Library (ITIL), International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 20000-1)
Change Management
» Continuity Management
» Information Security Management
» Continual Service Improvement Management
» Incident Management
» Problem Management
» Release Management
» Deployment Management
» Configuration Management
» Service level Management
» Availability Management
» Capacity Management
Support Digital Forensics
» Forensic Data Collection Methodologies
» Evidence Management
» Collect, Acquire and Preserve Digital Evidence
Manage Communication with Relevant Parties
Vendors
» Customers
» Partners
» Regulators
» Other Stakeholders
5.4 Implement Operational Controls and Standards (e.g., Information Technology
Infrastructure Library (ITIL), International Organization for Standardization/International
Electrotechnical Commission (ISO/IEC) 20000-1)
5.5 Support Digital Forensics
» Forensic Data Collection Methodologies
» Evidence Management
» Collect, Acquire and Preserve Digital Evidence
5.6 Manage Communication with Relevant Parties
5.7 Manage Security Operations
» Security Operations Center (SOC)
» Monitoring of Security Controls (e.g., firewalls, Intrusion Detection Systems (IDS), Intrusion Prevention Systems (IPS), honeypots, vulnerability assessments, network security groups)
» Log Capture and Analysis (e.g., Security Information and Event Management (SIEM), log management)
» Incident Management
Articulate Legal Requirements and Unique Risks within the Cloud Environment
6.2 Understand Privacy Issues
» Difference Between Contractual and Regulated Private Data (e.g., Protected Health Information (PHI), Personally Identifiable Information (PII))
» Country-Specific Legislation Related to Private Data (e.g., Protected Health Information (PHI), Personally Identifiable Information (PII))
» Jurisdictional Differences in Data Privacy
» Standard Privacy Requirements (e.g., International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 27018, Generally Accepted Privacy Principles (GAPP), General Data Protection Regulation (GDPR))
6.3 Understand Audit Process, Methodologies, and Required Adaptations for a Cloud Environment
Domain 6:
Legal, Risk and Compliance
» Conflicting International Legislation
» Evaluation of Legal Risks Specific to Cloud Computing
» Legal Framework and Guidelines
» eDiscovery (e.g., International Organization
for Standardization/International Electrotechnical Commission (ISO/IEC) 27050, Cloud Security Alliance (CSA) Guidance)
» Forensics Requirements
Internal and External Audit Controls
» Impact of Audit Requirements
» Identify Assurance Challenges of Virtualization and Cloud
» Types of Audit Reports (e.g., Statement on Standards for Attestation Engagements (SSAE), Service Organization Control (SOC), International Standard on Assurance Engagements (ISAE))
» Restrictions of Audit Scope Statements (e.g., Statement on Standards for Attestation Engagements (SSAE), International Standard on Assurance Engagements (ISAE))
» Gap Analysis
» Audit Planning
» Internal Information Security Management System (ISMS)
» Internal Information Security Controls System
» Policies (e.g., organizational, functional, cloud computing)
» Identification and Involvement of Relevant Stakeholders
» Specialized Compliance Requirements for Highly-Regulated Industries (e.g., North American Electric Reliability Corporation/ Critical Infrastructure Protection (NERC/CIP), Health Insurance Portability and Accountability Act (HIPAA), Payment Card Industry (PCI))
» Impact of Distributed Information Technology (IT) Model (e.g., diverse geographical locations and crossing over legal jurisdictions)
Understand Implications of Cloud to Enterprise Risk Management
6.5 Understand Outsourcing and Cloud Contract Design
» Business Requirements (e.g., Service Level Agreement (SLA), Master Service Agreement (MSA), Statement of Work (SOW))
» Vendor Management
» Contract Management (e.g., right to audit, metrics, definitions, termination, litigation, assurance, compliance, access to cloud/data, cyber risk insurance)
» Supply-Chain Management (e.g., International Organization for Standardization/International Electrotechnical Commission (ISO/IEC) 27036)
» Assess Providers Risk Management Programs (e.g., controls, methodologies, policies)
» Difference Between Data Owner/Controller vs. Data Custodian/Processor (e.g., risk profile, risk appetite, responsibility)
» Regulatory Transparency Requirements (e.g., breach notification, Sarbanes-Oxley (SOX), General Data Protection Regulation (GDPR))
» Risk Treatment (i.e., avoid, modify, share, retain)
» Different Risk Frameworks
» Metrics for Risk Management
» Assessment of Risk Environment (e.g., service, vendor, infrastructure)



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Unlocking human-like belief in sensor-based mostly know-how deployments

Like most industries, the fields of safety, entry and safety have been transformed via technology, with AI-pushed automation providing a clear possibility for players in search of boom and management when it comes to innovation. during this admire, these markets know precisely what they desire. They require options that precisely (with out false or terrible positives) classify and tune people and/or cars as neatly because the precise place and interactions between these objects. They want to have access to accurate statistics generated by way of most fulfilling-of-classification options irrespective of the sensor modality. And, they deserve to be capable of comfortably set up such solutions, at the lowest capex and opex, with the competencies that they will also be built-in with favored VMSs and PSIMs, be incredibly legitimate, have low set up and preservation overheads and be smartly supported. With these wants in mind, digicam and laptop imaginative and prescient expertise suppliers, solutions suppliers and methods integrators are forging ahead and have created exemplary ecosystems with established partnerships assisting to accelerate adoption. on the heart of this are AI and functions of Convolutional neural networks (CNN), an structure often used in desktop imaginative and prescient deep gaining knowledge of algorithms, which might be engaging in projects that had been extraordinarily difficult with natural application. but what about 3D sensing applied sciences and belief? The protection, safeguard and entry market have an extra essential need: they have to mitigate risk and make investments that bring for the long-time period. This capability that if a techniques integrator invests in a 3D sensing data perception platform these days, it will assist their alternative of sensors, notion thoughts, functions and use instances over time without needing to invariably reinvest in choice computing device hardware and belief application every time they adopt new know-how or techniques. This begs the question - if the security trade knows what it needs, why is it yet to utterly embody 3D sensing modalities? belief strategy clever notion recommendations are yet to conform which sees designers lock everything down at the design phase neatly, one problem facing safety, safety and access options providers, systems integrators and end-users when deploying first-generation 3D sensing-primarily based solutions is the latest method. these days, intelligent belief suggestions have yet to evolve beyond the popularity quo which sees designers lock everything down at the design part, including the alternative of the sensor(s), off-the-shelf computing device hardware and any vendor-certain or 3rd party perception application algorithms and deep learning or artificial intelligence. This strategy now not best builds in constraints for future use-situations and tendencies, it hampers the degree of notion developed via the laptop. indeed, the facts used to Excellerate or coach the perception algorithms for safety, access and protection use instances at design time is customarily captured for a slim and certain set of scenarios or contexts and are due to this fact developed or informed in the lab. know-how gaps As those in this trade recognize too well, siloed solutions and expertise gaps usually block the advent of productive ecosystems and partnerships while lack of industrial complete items can delay market adoption of latest innovation. notion programs architectures today don't help the actual-time adaptation of utility and computing engines in the container. They continue to be the identical as those chosen during the design phase and are fastened for the entire development and the deployment stage. Crucially, this capacity that the system can not deal with the unknowns of contextually various true-time cases where contexts are changing (e.g being capable of reflex to protection situations they haven’t been proficient for) and where the self sustaining gadget’s notion innovations should dynamically adjust thus. subsequently, typical ideas have non-scalable and non-adaptable competing computing architectures that had been now not designed to procedure the subsequent technology of algorithms, deep getting to know and artificial intelligence required for 3D sensor blended workloads. What this capability for industries looking for to enhance or install notion techniques, like security, access and defense, is that the attainable computing architectures are widespread and designed for both picture rendering or information processing. solutions providers, therefore, have little alternative however to advertise these architectures heavily into the market. subsequently, the ensuing computing suggestions are defined by way of the computing suppliers and never by way of the software developers engaged on behalf of the customer deploying the protection solution. Context…. they don’t know what they don’t recognize perception platform should have the means to modify to adjustments in context, thereby enhancing the efficiency put up-deployment To be useful and useable within the protection context and others, a belief platform must have the potential to adjust to adjustments in context, can self-optimise and crucially, can self-gain knowledge of, thereby enhancing the performance post-deployment. The mixtures of advantage contextual adjustments in a true-lifestyles atmosphere, equivalent to an airport or armed forces base, are innumerable, non-deterministic, actual-time, commonly analogue and unpredictable. The second sensors, aspect computing hardware and notion software are deployed within the box, myriad variables corresponding to climate, terrain in addition to sensor mounting place and orientation all represent a context shift the place the perception methods’ answer is not any longer most advantageous. as an example, it could be that a specific sensor system is deployed in an out of doors situation with heavy foliage. since the algorithm building or training was accomplished within the lab, the moving foliage, trees or low timber and branches are categorized as humans or any other false-fantastic influence. typically, heavy software customisation and onsite aid then ensue, requiring on-site support by means of options companies the place every and every sensor configuration has to be hand-cranked to carry something that is appropriate to the end client. a new strategy for effective perception ideas Cron AI is constructing senseEDGE, which represents a significant evolution within the construction of sensing to guidance approach.  it's a 3D sensing notion and desktop imaginative and prescient platform built from the floor as much as address and take away the normal deployment and performance bottlenecks we’ve simply described. senseEDGE is aware about the consumer utility response plan indication to set off an alarm or turning on a CCTV digital camera The whole aspect platform is built around a true-time scalable and adaptable computing structure that’s flexible satisfactory for algorithms and utility to scale and adapt to distinct workloads and contexts. What’s extra, it has real-time contextual awareness, which means that the complete side platform is, at any time, aware of the external context, the sensor and sensor structure and the requirements of the person software. furthermore, when it produces the item output statistics, it additionally privy to the user software response plan indication, which may be triggering an alarm or turning on a CCTV digital camera when a selected action is detected. This strategy turns usual perception concepts on their head: it's application-described programmable belief and computing architecture, now not hardware-described. it's free from the constraints imposed by means of usual CPU or GPU compute dictated by using hardware architecture suppliers and never restrained to the belief built defined throughout design time. And, being fully configurable, it will also be moved from one solution to a different, offering computation for diverse modalities of sensors designed for different use situations or environments, and reduce chance of adoption and migration for these developing the security answer.  Future belief necessities senseEDGE is additionally in a position to scale to future belief necessities, similar to algorithms and workloads produced via future sensors as well as computational thoughts and neural networks which have yet to be invented. in the meantime, latency versus throughput is totally software-defined and not confined with the aid of providers of computing structure. ultimately, contextually conscious, it is wholly related to the real world where the reflexes adapt to even the subtlest alterations in context, which makes all the difference in time and accuracy in essential protection instances. this is how CronAI sees the way forward for notion. It skill that security and protection innovators can now entry and make investments with low possibility in a useable and scalable belief answer that may in fact take knowledge of latest and future 3D sensor modalities.


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http://killexamstestprep.blogdigy.com/ccsp-certified-cloud-security-professional-ccsp-question-bank-with-real-questions-by-killexams-com-11390731



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