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

Using Software as a Service (SaaS) significantly reduces support costs for hardware and software. Managing Cloud principles explain that in a SaaS model, the cloud service provider is responsible for maintaining the application, underlying infrastructure, operating systems, patching, upgrades, and troubleshooting.

Because the provider manages these components, organizations no longer need to maintain in-house teams to support servers, storage, networking, or application updates. This reduces operational overhead related to system administration, maintenance contracts, and technical support. SaaS also eliminates the need for hardware refresh cycles and reduces the complexity of managing multiple software versions.

The other options are less accurate. Licensing costs may still exist under subscription models, vendor lock-in does not inherently reduce costs, and energy efficiency is more closely related to infrastructure optimization. Therefore, the most direct and consistent cost reduction provided by SaaS is the reduction of hardware and software support costs.

Agile is an iterative software development methodology designed to prioritize customer satisfaction, adaptability, and incremental delivery. Agile teams deliver small, working pieces of software frequently, ensuring feedback is incorporated throughout the process. This flexibility allows late-stage requirement changes to be accommodated without derailing the project.

Waterfall is a sequential approach with limited flexibility. Spiral combines iterative development with risk analysis, but it is not as customer-focused as Agile. Lean emphasizes efficiency and waste reduction but does not center on continuous delivery and adaptability.

Agile frameworks such as Scrum and Kanban embody this philosophy, supporting faster innovation, better collaboration, and responsiveness to evolving business needs.

Provisioning is the first phase of identity management used to assert a user’s identity. Managing Cloud documentation explains that identity management begins with establishing and registering a user within an identity system. Provisioning involves creating a digital identity, assigning unique identifiers, and associating credentials that allow the user to be recognized by systems and applications.

This phase forms the foundation for all subsequent identity and access management processes. Without proper provisioning, authentication and authorization cannot occur because the system has no trusted identity to evaluate. Provisioning also includes defining initial roles and access levels based on organizational policies.

Centralization and decentralization describe architectural approaches to managing identities rather than lifecycle phases. Deprovisioning occurs at the end of the lifecycle when access is revoked. Therefore, provisioning is correctly identified as the first phase where the user’s identity is established and asserted.

The correct approach for sanitizing a USB thumb drive while preserving its usability is overwriting. Overwriting involves replacing the existing data on the device with random data or specific patterns to ensure that the original information cannot be recovered. This process leaves the physical device intact, allowing it to be reused securely.

Physical destruction, such as shredding, renders the device unusable. Degaussing only works on magnetic media like hard disks or tapes, not on solid-state or flash-based USB drives. Key revocation applies to cryptographic keys and not to physical devices.

By using overwriting, organizations comply with data sanitization standards while balancing operational efficiency. Many tools exist that perform multi-pass overwrites to meet regulatory requirements such as those from NIST or ISO. This ensures that sensitive data is removed while allowing the device to remain in circulation for continued use.

The cloud data life cycle defines distinct stages that data goes through from its origin until its disposal. The Create phase is the very first stage, and this is where data is generated or captured by systems, applications, or users. At this point, data does not yet have context for storage or use, so it must be appropriately categorized and classified. Activities like labeling, marking, tagging, and assigning metadata are critical because they establish the foundation for enforcing controls throughout the rest of the life cycle.

Classification ensures that data is aligned with sensitivity levels, regulatory requirements, and business value. For example, financial records may be labeled “confidential” while general marketing content may be marked “public.” These distinctions guide how encryption, access controls, and monitoring will be applied in subsequent phases such as storage, sharing, or use.

According to industry frameworks, starting security at the Create phase ensures that controls “follow the data” across environments. Without proper classification at creation, organizations risk mismanaging sensitive data downstream.

Threat modeling is the approach that helps developers prepare for common application vulnerabilities in cloud environments. Managing Cloud principles explain that threat modeling is a proactive security activity performed during the design and development phases of an application.

This approach involves identifying potential threats, attack vectors, and weaknesses based on application architecture, data flows, trust boundaries, and usage patterns. By anticipating how attackers may exploit cloud-specific characteristics—such as exposed APIs, shared resources, and identity-based access—developers can design controls to mitigate risks early in the lifecycle.

Sandboxing and application virtualization are isolation techniques rather than preparation methods, and multitenancy describes a cloud architecture characteristic. Threat modeling directly supports secure design by aligning security controls with known vulnerability patterns. Therefore, threat modeling is the correct answer.

During the containment, eradication, and recovery phase of the incident response lifecycle, immediate action is taken to limit damage, remove the threat, and restore normal operations. Managing Cloud guidance explains that isolating affected systems is a key containment activity.

Taking systems offline prevents attackers from continuing malicious activity, stops further data loss, and allows remediation to occur safely. Once contained, systems can be cleaned, patched, restored from backups, and securely returned to service.

Validating alerts occurs during detection and analysis, identifying training needs belongs to lessons learned, and building a timeline of attack supports forensic analysis. Therefore, taking systems offline is the correct countermeasure in this phase.

Outside the United States, ISAE 3402 (International Standard on Assurance Engagements 3402) is the standard used for audits equivalent to SOC reports. It ensures that service organizations demonstrate adequate internal controls over financial reporting and operational processes.

SSAE 18 is the U.S. standard governing SOC audits. ISRE 2400 and SSARS 25 focus on accounting and review services, not assurance over service organizations.

ISAE 3402 provides assurance to international customers that cloud providers or service organizations meet rigorous standards for security, availability, processing integrity, confidentiality, and privacy. This builds global trust and interoperability in compliance frameworks.