Managing-Cloud-Security Exam Dumps - WGU Managing Cloud Security (JY02, GZO1)

In cloud contract design, transportable means that data, applications, or services are able to be moved to another vendor. Managing Cloud principles explain that transportability supports exit strategies, reduces vendor lock-in risk, and enables business continuity.

Transportable solutions rely on standardized data formats, documented APIs, and interoperable architectures. Contracts often include provisions ensuring customers can retrieve data in usable formats and migrate workloads if needed.

Access by mobile devices, proprietary formats, or rapid archiving do not address vendor independence. Therefore, the correct definition of transportable is the ability to move to another vendor.

A loss of policy control is a key risk when using a community cloud compared to a private cloud. Managing Cloud principles explain that community clouds are shared by multiple organizations with common objectives, compliance needs, or industry requirements.

Because governance is shared across participants, individual organizations may have reduced ability to enforce customized security policies, configurations, or controls. Policy decisions often require consensus, which can limit flexibility and slow response to emerging risks.

Private clouds provide full control over governance, security policies, and configurations. The other options are not inherent risks of community cloud models. Therefore, loss of policy control is the correct answer.

Vendor lock-in risk arises when organizations outsource significant investments in data formats, procedures, or processes that are tightly coupled to a specific cloud provider. Managing Cloud principles explain that proprietary technologies, APIs, and workflows can make it difficult or costly to migrate to another provider.

This dependency limits flexibility and bargaining power and can increase long-term costs or operational risk if the provider changes pricing, services, or availability. Lock-in risk is a key consideration during cloud strategy planning.

Compliance risk involves regulatory obligations, overutilization concerns excessive resource usage, and exit risk relates to termination processes rather than dependency. Therefore, lock-in risk is the correct answer.

Indirect identifiers are pieces of information that may not identify an individual on their own but, when combined with other data, can uniquely identify someone. Examples include birthdate, ZIP code, or gender. Together, these can re-identify a person, even when names or direct identifiers are removed.

Direct identifiers (such as Social Security numbers) uniquely identify an individual alone. Data subjects are the individuals to whom the data refers, while personal details is too broad and not a formal term.

Understanding indirect identifiers is essential in privacy regulations like GDPR and HIPAA, where pseudonymization or anonymization must account for potential re-identification risks. Safeguarding indirect identifiers reduces the chance of privacy violations and unauthorized profiling.

The Data Controller is the role responsible for ensuring that third parties implement adequate technical and organizational security measures to protect data. Managing Cloud principles emphasize that the data controller determines the purpose and means of data processing and remains accountable for how personal or sensitive data is handled, even when third parties are involved.

When data is processed by cloud providers or other external entities, the data controller must ensure that contractual agreements, policies, and controls are in place to maintain data protection standards. This includes verifying that third parties follow approved security practices, comply with legal requirements, and apply appropriate safeguards.

Other roles do not carry this responsibility. A cloud user consumes cloud services but does not define processing requirements. A cloud provider implements security controls but acts under the instructions of the data controller. A data subject is the individual whose data is being processed and has no responsibility for security enforcement. Therefore, the data controller is the correct role.

A sandbox is a controlled, isolated environment used to safely run, observe, and analyze potentially malicious code. In cybersecurity, sandboxes allow analysts to execute malware samples without risking contamination of production systems. This enables identification of malware behavior, persistence techniques, and indicators of compromise.

Encryption protects confidentiality, but does not allow safe execution. Gateways control traffic flow, and controllers manage devices or workloads. Only a sandbox provides the dedicated containment required for malware analysis.

In cloud environments, sandboxing is often implemented at scale to analyze suspicious files or traffic automatically. This practice enhances defenses against zero-day exploits, advanced persistent threats, and polymorphic malware. By preventing malware from escaping, sandboxes provide essential forensic and detection insights without endangering the wider environment.

The Operational Excellence pillar 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.

A compensating control should be implemented to address the loss of physical control when moving data to the cloud. Managing Cloud guidance explains that compensating controls are alternative safeguards used when direct controls are not feasible.

Since customers cannot physically secure cloud data centers, compensating controls such as strong encryption, key management, access controls, and monitoring are used to mitigate the risk. These controls provide equivalent or greater protection despite the lack of physical access.

The other options are not recognized control types in cloud security governance. Therefore, compensating control is the correct answer.