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| Section | Weight | Objectives |
|---|---|---|
| Related Technologies & Strategies | 6% | - Zero Trust architecture - Artificial Intelligence and Generative AI security - Emerging technologies and risks |
| Incident Response & Resilience | 7% | - Incident response planning - Detection and containment - Business continuity and disaster recovery - Recovery and remediation |
| Data Security | 10% | - Data residency and privacy - Encryption and key management - Data classification and governance - Data lifecycle management |
| Cloud Governance | 9% | - Policies and procedures - Strategic alignment - Governance frameworks - Cloud service provider management |
| Security Monitoring | 8% | - Logging and event management - Threat detection and analysis - Alerting and response workflows - Continuous monitoring |
| Cloud Workload Security | 9% | - Workload protection strategies - Virtual machine security - Container and orchestration security - Serverless security |
| Infrastructure & Networking | 9% | - Network security architecture - Virtualization security - Segmentation and isolation - Cloud native networking security |
| Identity & Access Management | 10% | - Access control models - Identity lifecycle management - Federated identity and SSO - Authentication and authorization |
| Organization Management | 7% | - Roles and responsibilities - Cloud security strategy - Tenancy and resource management - Security culture and awareness |
| Cloud Computing Concepts & Architectures | 8% | - Cloud deployment models - Shared responsibility model - Cloud service models - Cloud reference architecture |
| Application Security | 7% | - API security - DevSecOps practices - Secure software development lifecycle - Cloud application architecture |
| Risk, Audit, & Compliance | 10% | - Third-party risk management - Compliance frameworks and regulations - Risk assessment and management - Audit processes and controls |
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NEW QUESTION # 57
The containment phase of the incident response lifecycle requires taking systems offline.
Answer: B
NEW QUESTION # 58
Which of the following is a responsibility of Cloud customer?
Answer: A
Explanation:
Image asset management. Cloud compute deployments are based on master images-be it a virtual machine, container, or other code-that are then run in the cloud. This is often highly automated and results in a larger number of images to base assets on, compared to traditional computing master images. Managing these-including which meet security requirements, where they can be deployed, and who has access to them-is an important security responsibility.
Reference: CSA Security GuidelinesV.4(reproduced here for the educational purpose)
NEW QUESTION # 59
Which type of AI workload typically requires large data sets and substantial computing resources?
Answer: A
Explanation:
Among AI workloads,Trainingrequires themost computational power and data resources.
Why AI Training is Computationally Intensive?
* Large datasets:
* AI models (e.g., deep learning, neural networks)require millions or billions of labeled data points.
* Training involvesprocessing massive amounts of structured/unstructured data.
* High computational power:
* Training deep learning modelsinvolves runningmultiple passes (epochs) over data, adjusting weights, and optimizing parameters.
* Requiresspecialized hardwarelikeGPUs (Graphics Processing Units),TPUs (Tensor Processing Units), andHPC (High-Performance Computing).
* Long training times:
* AI model training can takedays, weeks, or even monthsdepending on complexity.
* Cloud platforms offerdistributed computing (multi-GPU training, parallel processing, auto- scaling).
* Cloud AI Training Benefits:
* Cloud providers (AWS, Azure, GCP) offer ML training serviceswithon-demand scalable compute instances.
* Supportsframeworks like TensorFlow, PyTorch, and Scikit-learn.
This aligns with:
* CCSK v5 - Security Guidance v4.0, Domain 14 (Related Technologies - AI and ML Security)
* Cloud AI Security Risks and AI Data Governance (CCM - AI Security Controls)
NEW QUESTION # 60
Which of the following is NOT one of the common networks underlying in Cloud Infrastructure?
Answer: B
Explanation:
If you are a cloud provider (including managing a private cloud), physical segregation of networks composing your cloud is important for both operational and security reasons. We most commonly see at least three different networks which are isolated onto dedicated hardware since there is no functional or traffic overlap:
1. The service network for communications between virtual machines and the Internet. This builds the network resource pool for the cloud users.
2. The storage network to connect virtual storage to virtual machines.
3. A management network for management and API traffic.
Ref: Reference: CSA Security GuidelinesV.4 (reproduced here for the educational purpose)
NEW QUESTION # 61
What is known as a code execution environment running within an operating system that shares and uses the resources of the operating system?
Answer: B
NEW QUESTION # 62
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