Managing-Cloud-Security Exam Dumps - WGU Courses and Certificates Questions and Answers

Risk mitigation reduces the impact of risk within BCDR planning. Managing Cloud principles explain that mitigation involves implementing controls and safeguards to lessen the likelihood or severity of adverse events.

Examples include redundancy, backups, failover mechanisms, and monitoring. These measures do not eliminate risk but significantly reduce operational disruption and data loss when incidents occur.

Insurance transfers financial risk, avoidance eliminates activities, and acceptance acknowledges risk without action. Therefore, mitigation is the correct strategy for reducing impact.

File storage is based on a hierarchical system. Managing Cloud principles explain that file storage organizes data using directories and subdirectories, forming a tree-like structure familiar to traditional file systems.

This hierarchy allows users and applications to navigate folders and files using paths. File storage is commonly used for shared file systems, home directories, and content repositories that require structured organization.

Block storage organizes data into fixed-size blocks without hierarchy, object storage uses flat addressing with metadata, and databases use structured tables. Therefore, file storage is the correct answer.

Cloud providers typically manage multi-tenant infrastructure, where physical hardware is shared among customers. Therefore, drives are not destroyed for each customer unless explicitly required in the contract. If the customer’s agreement specifies dedicated hardware disposal, then the provider must comply by physically destroying the drives.

Cryptographic erasure and degaussing are valid sanitization methods, but they may not meet the specific contractual requirement of physical destruction. Insurance clauses are unrelated to disposal.

This question underscores the importance of negotiating contractual terms in cloud agreements. Customers handling highly sensitive or regulated data may require physical destruction, while others may accept logical erasure. Clear agreements ensure both compliance and alignment of security responsibilities.

The jurisdiction of the cloud provider and users is a primary consideration when analyzing legal and privacy implications of cloud technologies. Managing Cloud guidance explains that data is subject to the laws and regulations of the jurisdiction in which it is stored, processed, or accessed.

Different countries impose varying legal requirements for data privacy, disclosure, and access by authorities. Understanding jurisdiction helps organizations evaluate compliance obligations, cross-border data transfer restrictions, and potential risks related to government access or conflicting regulations.

While encryption, contract configuration, and service level agreements are important, they do not override jurisdictional legal authority. Therefore, jurisdiction is the most critical factor in legal and privacy analysis.

The Use phase of the cloud data life cycle occurs almost in parallel with the Create phase because data is often accessed and processed immediately after it is generated. Managing Cloud principles describe that in modern cloud environments, data creation and data usage are closely linked, especially in real-time systems, applications, and analytics workloads.

As soon as data is created—such as user input, application logs, or transaction records—it is frequently consumed by applications, services, or users without delay. This immediate consumption places the Use phase alongside the Create phase rather than strictly after it. Security controls during this period must address both phases simultaneously, including access control, authentication, encryption, and monitoring.

Other phases do not align as closely. The Store phase focuses on data at rest after creation, the Share phase involves distributing data to other parties, and the Archive phase occurs much later for long-term retention. Because data is commonly viewed, processed, or analyzed immediately after creation, the Use phase is considered to occur almost in parallel with the Create phase.

A rollback is the safeguard that restores a system to its previous, stable state when a new code release introduces issues. In DevOps workflows, rollbacks provide a rapid recovery mechanism, reducing downtime and minimizing customer impact.

Staging, code review, and testing are preventive controls that reduce the likelihood of defects reaching production, but once a bug has already been deployed, rollback is the corrective control.

Rollback strategies often rely on version control systems, container orchestration, or infrastructure-as-code automation to quickly revert to earlier configurations. This practice is essential for maintaining reliability and availability, especially in cloud environments with continuous deployment pipelines.

A key benefit of federated identity and access management (IAM) is the ability to use an organization’s existing identities to access cloud services. Managing Cloud documentation explains that federation allows authentication to occur through a trusted identity provider rather than the cloud service provider.

This enables centralized identity management, reduces credential sprawl, and improves security by enforcing consistent authentication policies such as multi-factor authentication. Federation also simplifies user experience by enabling single sign-on across cloud and on-premises systems.

The other options do not represent core benefits of federated IAM. Therefore, using an organization’s identities is the correct answer.

Vendor lock-in is a risk most closely associated with the public cloud. Managing Cloud guidance explains that public cloud providers often use proprietary services, APIs, tools, and architectures that make migration to another provider difficult and costly.

Organizations may heavily invest in provider-specific technologies, which can limit flexibility and increase dependency. If pricing models change, services are discontinued, or availability issues arise, customers may face significant challenges in exiting the provider’s ecosystem.

While regulatory noncompliance, malware, and personnel threats exist in all environments, vendor lock-in is especially prominent in public cloud adoption due to its scale and proprietary service offerings. Therefore, vendor lock-in is the correct answer.

Multitenancy of networks is a logical design consideration when planning a data center. Managing Cloud principles explain that logical considerations focus on how systems, networks, and services are structured and interact, rather than physical infrastructure components.

Multitenancy requires logical separation of tenants to ensure confidentiality, integrity, and availability of data. This includes network segmentation, virtual LANs, access controls, and isolation mechanisms that prevent one tenant from accessing another tenant’s resources. Proper logical design is critical in cloud environments where multiple customers share the same physical infrastructure.

The other options represent non-logical considerations. Heating and cooling and utility power availability are physical and environmental concerns, while ability for expansion relates to physical capacity planning. Therefore, multitenancy of networks is the correct logical consideration.

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.