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| Section | Objectives |
|---|---|
| Secure Cloud Service Models | - Cloud architecture security
|
| Risk Analysis and Risk Management | - Business continuity and disaster recovery
|
| Implementing Operational Capabilities, Procedures, and Training | - Security operations workflows
|
| Cloud Security Policies and Procedures | - Cloud application security policies
|
| Legal, Compliance, and Ethical Concerns | - Compliance and governance
|
| Identity and Access Management | - Cloud IAM controls
|
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NEW QUESTION # 68
Which risk is unable to be highlighted from the outset in a cloud services contract?
Answer: D
Explanation:
Risks resulting from an unforeseen event cannot be fully highlighted at the outset of a cloud services contract. Managing Cloud principles explain that contracts can address known risks, anticipated changes, and planned lifecycle events, but they cannot predict all future incidents.
Unforeseen events may include unexpected geopolitical changes, novel cyber threats, global outages, or extraordinary disasters. While contracts may include force majeure clauses or general risk language, the specific nature and impact of such events cannot be precisely defined in advance.
The introduction or retirement of technology and contract renewal changes can typically be anticipated and negotiated. Therefore, unforeseen events represent the risk that cannot be fully highlighted initially.
NEW QUESTION # 69
Which design pillar encompasses the ability to support development and run workloads effectively, gain insights into operations, and continuously improve supporting processes to deliver business value?
Answer: B
Explanation:
TheOperational Excellencepillar emphasizes practices that allow organizations to develop, deploy, and operate workloads effectively. It includes monitoring operations, responding to incidents, and continuously improving processes. By embedding feedback loops, organizations enhance agility and ensure that technology supports business value.
Performance efficiency deals with using computing resources efficiently, reliability ensures system availability, and sustainability focuses on environmental responsibility. While important, these do not encompass the process-driven improvements at the heart of operational excellence.
Operational excellence ensures that organizations can adapt quickly to changes, implement automation, and drive consistent improvements across cloud workloads. It is a key principle in cloud frameworks like AWS Well-Architected, Microsoft CAF, and Google's Reliability Engineering practices.
NEW QUESTION # 70
During a financial data investigation, the investigator is unsure how to handle a specific data set. Which set of documentation should they refer to for detailed steps on how to proceed?
Answer: C
Explanation:
Proceduresare detailed, step-by-step instructions that guide personnel on how to perform specific tasks in alignment with higher-level policies. In an investigation, when uncertainty arises about handling a dataset, procedures provide the exact operational guidance required.
Policies establish high-level rules (e.g., "financial data must be protected"), while procedures explain how to achieve compliance with those policies (e.g., "verify encryption, label dataset, log access, and escalate to compliance officer"). Legal rulings and definitions are external references but do not provide operational steps.
By following documented procedures, investigators ensure consistency, compliance, and defensibility in legal contexts. This also ensures that evidence is handled properly, supporting admissibility in court and protecting the organization against legal or regulatory challenges.
NEW QUESTION # 71
A cloud provider that processes third-party credit card payments is unable to encrypt its customers' cardholder data because of constraints on a legacy payment processing system. What should it implement to maintain Payment Card Industry Data Security Standard (PCI DSS) compliance?
Answer: C
Explanation:
When a required PCI DSS control cannot be implemented due to technical limitations, the organization must apply acompensating control. A compensating control is an alternative safeguard that meets the intent and rigor of the original requirement.
Risk acceptance is insufficient under PCI DSS, as compliance demands enforceable safeguards. Privacy controls and protection levels may enhance data security but do not formally replace mandatory encryption requirements.
For example, a provider may use strict access controls, network segmentation, or monitoring to mitigate risks from unencrypted cardholder data. Documenting these compensating controls is essential during audits, ensuring compliance despite system limitations.
NEW QUESTION # 72
Which phase of the cloud data lifecycle implements the file, block, or object type of cloud architecture?
Answer: C
Explanation:
The Store phase of the cloud data lifecycle is responsible for maintaining data in cloud storage systems and is where file, block, and object storage architectures are implemented. Managing Cloud documentation explains that once data is created and prepared, it must be stored using appropriate storage technologies that support availability, durability, scalability, and performance requirements.
File storage is commonly used for shared access and hierarchical file systems, block storage supports high- performance workloads such as databases and virtual machines, and object storage is optimized for scalability and unstructured data. All these storage models fall under the Store phase because they represent how data is retained and managed at rest within the cloud environment.
The Archive phase focuses on long-term retention and cost optimization, often using cold or infrequent access storage. The Create phase is concerned with generating data, and the Share phase involves distributing data to other users or systems. None of these phases define the architectural storage models used to hold data.
Therefore, the Store phase is the correct answer, as it directly implements the underlying cloud storage architectures required to securely and efficiently manage data.
NEW QUESTION # 73
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