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| Certification Vendor: | Cloud Security Alliance |
|---|---|
| Exam Name: | Certificate of Cloud Security Knowledge v5 |
| Exam Number: | CCSKv5.0 |
| Related Certifications: | CCSP CCSK CCZT |
| Passing Score: | 80% |
| Available Languages: | English, Japanese, Spanish |
| Exam Duration: | 120 minutes |
| Exam Format: | Open Book, Multiple Choice, Online Exam |
| Real Exam Qty: | 60 |
| Exam Price: | $395 USD |
| Certificate Validity Period: | No Expiration |
| Sample Questions: | Cloud Security Alliance CCSK Sample Questions |
| Exam Way: | Online open-book exam |
| Pre Condition: | No formal prerequisites required. Basic understanding of information security and cloud computing concepts is recommended. |
| Official Syllabus URL: | https://cloudsecurityalliance.org/education/ccsk |
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NEW QUESTION # 263
What is a key benefit of using customer-managed encryption keys with cloud key management service (KMS)?
Answer: D
Explanation:
The correct answer isB. Customers retain control over their encryption keys.
Usingcustomer-managed encryption keys (CMEK)with a cloudKey Management Service (KMS)allows the customer toretain full control over the encryption keysused to encrypt their data. This is crucial in maintaining data sovereignty, privacy, and compliance with regulatory requirements.
Key Benefits of Customer-Managed Encryption Keys:
Key Ownership and Control:Unlike cloud provider-managed keys, CMEK ensures that the customer has full authority over the key's lifecycle, including creation, rotation, and deletion.
Enhanced Security:Customers can enforce strict access controls and audit who accesses the keys.
Compliance:Many regulations (like GDPR or HIPAA) mandate that data owners maintain control over encryption keys.
Data Privacy:Even though the data is stored on the cloud, the provider cannot access unencrypted data without the customer's permission.
Flexibility:Customers can choose when to revoke or rotate keys, which directly impacts data availability and access.
Why Other Options Are Incorrect:
A: Bypass the need for encryption:CMEK does not eliminate the need for encryption; it strengthens it by giving customers direct control.
C: Share encryption keys more easily:Sharing encryption keys can increase security risks, and CMEK is designed to restrict, not ease, key sharing.
D: Reduces computational load on the cloud service provider:CMEK does not impact the computational load.
It focuses on key management and control rather than reducing processing overhead.
Real-World Example:
InAWS KMS, using CMEK allows customers to bring their own keys (BYOK) and manage them directly through AWS Key Management Service. Similar practices exist inGoogle Cloud KMSandAzure Key Vault, where customers can generate and control their own encryption keys.
Practical Use Case:
A healthcare provider using a cloud service to store patient records may use CMEK to ensure that sensitive data is encrypted under keys they control, ensuring compliance with regulations likeHIPAA.
References:
CSA Security Guidance v4.0, Domain 11: Data Security and Encryption
Cloud Computing Security Risk Assessment (ENISA) - Key Management and Encryption Cloud Controls Matrix (CCM) v3.0.1 - Data Protection and Encryption Domain
NEW QUESTION # 264
In the context of IaaS, what are the primary components included in infrastructure?
Answer: C
Explanation:
In the Infrastructure as a Service (IaaS) model, the term "infrastructure" refers to the core physical and virtualized building blocks that form the basis of a cloud environment. These components are abstracted and pooled to offer on-demand provisioning to cloud consumers.
From the CSA Security Guidance v4.0 - Domain 1: Cloud Computing Concepts and Architectures:
"Infrastructure: The core components of a computing system: compute, network, and storage.
The foundation that everything else is built on. The moving parts."
-- Section 1.1.4 Logical Model, CSA Security Guidance v4.0
Furthermore:
"IaaS consists of a facility, hardware, an abstraction layer, an orchestration (core connectivity and delivery) layer to tie together the abstracted resources, and APIs to remotely manage the resources and deliver them to consumers."
-- Section 1.1.3.1 Infrastructure as a Service, CSA Security Guidance v4.0 These are commonly referred to as resource pools, and form the foundation of what IaaS delivers: virtual machines (compute), virtual networks (networking), and object/block storage systems (storage).
NEW QUESTION # 265
Which of the following is a primary purpose of establishing cloud risk registries?
Answer: B
Explanation:
A cloud risk registry is primarily used to identify and manage risks associated with cloud services. It serves as a tool for documenting, tracking, and assessing potential risks to the organization that arise from using cloud services. This includes risks related to security, compliance, availability, and performance. The risk registry helps organizations prioritize and mitigate these risks effectively to ensure the security and resilience of their cloud infrastructure.
Establishing SLAs is related to cloud contract management but not the primary purpose of a risk registry. Monitoring real-time cloud performance is a performance monitoring task, not the focus of a risk registry. Managing cloudaccount credentials is an aspect of identity and access management, not related to risk registries.
NEW QUESTION # 266
Which type of AI workload typically requires large data sets and substantial computing resources?
Answer: C
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 # 267
In cloud forensics, what unique challenge arises due to the multi-tenant nature of cloud environments?
Answer: D
Explanation:
Because cloud infrastructure is shared among multiple tenants, forensic evidence collection must be carefully scoped to avoid violating the privacy or data of other tenants sharing the same physical resources.
NEW QUESTION # 268
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