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| Certification Vendor: | Cloud Security Alliance (CSA) |
|---|---|
| Exam Name: | Certificate of Cloud Security Knowledge v5.0 Examination |
| Exam Number: | CCSK |
| Passing Score: | 80% |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| Exam Price: | USD 395 |
| Certificate Validity Period: | No expiration (does not require renewal) |
| Related Certifications: | CCSK Plus |
| Real Exam Qty: | 60 |
| Exam Format: | Open-book (CSA Security Guidance reference allowed), Online proctored exam, Multiple choice |
| Recommended Training: | CSA CCSK Training Courses CSA Security Guidance for Cloud Computing |
| Exam Registration: | CSA Store / Exam Registration CSA CCSK Certification Page |
| Sample Questions: | Cloud Security Alliance CCSK Sample Questions |
| Exam Way: | Online proctored exam (remote delivery) |
| Pre Condition: | No formal prerequisites required; basic understanding of cloud computing and information security recommended. |
| Official Syllabus URL: | https://cloudsecurityalliance.org/education/ccsk |
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The CCSK exam has recently been updated to version 4.0, which includes new content and exam questions. The new version of the exam ensures that CCSK certified professionals are up-to-date with the latest trends and technologies in cloud security. CCSK exam covers topics such as cloud architecture, governance, compliance, risk management, data security, and infrastructure security.
Cloud Security Alliance (CSA) is a global organization that is dedicated to promoting secure cloud computing practices. One of the key initiatives of the CSA is the Certificate of Cloud Security Knowledge (CCSK) exam. The CCSK is a vendor-neutral certification that is designed to test an individual's understanding of cloud security best practices and principles. CCSK exam is based on the CSA's Cloud Security Guidance for Critical Areas of Focus in Cloud Computing, which is considered to be the industry's best practices for secure cloud computing.
NEW QUESTION # 345
Which term describes the practice in cloud compliance where a customer acquires a set of pre-approved regulatory or standards-based controls from a compliant provider?
Answer: C
Explanation:
Compliance inheritance refers to the practice in cloud compliance where a customer leverages a set of pre- approved regulatory or standards-based controls that have been established and validated by a compliant cloud provider. Essentially, the cloud provider implements these controls, and the customer inherits the provider's compliance framework to meet their own regulatory requirements. This allows customers to benefit from the provider's compliance efforts without having to implement everything themselves.
Automated compliance refers to automating compliance tasks and processes but does not describe the practice of inheriting compliance controls. Attestation inheritance is not a standard term used in cloud compliance; attestation typically refers to formally certifying or declaring compliance. Audit inheritance would relate to the inheritance of audit reports or records, but it doesn't describe the broader process of inheriting compliance controls.
NEW QUESTION # 346
What is one primary operational challenge associated with using cloud-agnostic container strategies?
Answer: C
Explanation:
One of the primary operational challenges associated with using cloud-agnostic container strategies is ensuring management plane compatibility and consistent controls across multiple cloud environments. Cloud- agnostic strategies aim to make containers portable between different cloud providers. However, each cloud provider has its own management tools, APIs, and security controls, which can lead to complexities in maintaining consistent policies, monitoring, and management practices across different cloud environments.
Limiting deployment to a single cloud service is contrary to the goal of a cloud-agnostic strategy, which seeks to avoid reliance on a single cloud provider. Establishing identity and access management protocols is important but not unique to cloud-agnostic strategies; IAM challenges exist regardless of cloud approach.
Reducing the amount of cloud storage used is a general optimization concern, not specifically related to cloud- agnostic containers.
NEW QUESTION # 347
One of the key technologies that have made cloud computing viable is:
Answer: C
Explanation:
Virtualization technologies enable cloud computing to become a real and scalable service offering due to the savings, sharing, and allocations of resources across multiple tenants and environments.
NEW QUESTION # 348
Which cloud service model allows users to access applications hosted and managed by the provider, with the user only needing to configure the application?
Answer: B
Explanation:
SaaS enables users to access hosted applications managed by the provider, with only minor configuration by the customer. Reference: [CCSK Study Guide, Domain 1 - Service Models]
NEW QUESTION # 349
Which type of AI workload typically requires large data sets and substantial computing resources?
Answer: B
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 # 350
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