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

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.

Tier IV is the highest level in the Uptime Institute’s Data Center Site Infrastructure Tier Standards and is considered the most secure, reliable, and redundant. Managing Cloud documentation explains that Tier IV data centers provide fault tolerance with multiple independent systems.

This tier includes fully redundant components, multiple active power and cooling distribution paths, and continuous operation even during maintenance or failure events. Tier IV environments are designed for mission-critical systems requiring maximum uptime.

Tier I through Tier III offer increasing levels of redundancy but do not provide full fault tolerance. Therefore, Tier IV is the correct answer.

A cloud-based DDoS protection strategy helps mitigate attacks by rerouting traffic to specialized mitigation services. Managing Cloud guidance explains that cloud providers leverage large-scale, distributed infrastructures capable of absorbing and filtering massive volumes of malicious traffic.

When an attack is detected, traffic is redirected to scrubbing centers or mitigation platforms that analyze and filter malicious packets before forwarding legitimate traffic to the target application. This prevents backend systems from becoming overwhelmed and ensures service availability.

The other options provide limited protection. Load balancing and multiple endpoints distribute traffic but do not filter attacks, and scaling applications may still fail under volumetric attacks. Therefore, rerouting traffic to mitigation services is the most effective strategy.

Service level agreement (SLA) penalties are a risk mitigation technique that compensates customers for failures by the cloud service provider. Managing Cloud principles explain that SLAs define performance commitments such as availability, response time, and reliability.

When a provider fails to meet these commitments, SLA penalties—often in the form of service credits or financial compensation—are applied. While penalties do not prevent failures, they provide accountability and partial financial remediation.

Recovery time objectives define recovery goals, data protection requirements address security controls, and suspension clauses govern service termination. None of these compensate customers directly. Therefore, SLA penalties are the correct mitigation technique.

UESTION NO: 121 [Conducts Risk Management]

Which risk is assumed by an enterprise that chooses to use vendor-provided cloud resources?

A. Incompatible infrastructure

B. Multitenant deployments

C. Lack of skilled technical personnel

D. Loss of certification

Answer: B

By choosing vendor-provided cloud resources, an enterprise inherently assumes the risk associated with multitenant deployments. Managing Cloud principles explain that public and some community cloud environments are built on shared infrastructure where multiple customers’ workloads coexist on the same physical hardware.

Although strong logical isolation mechanisms are implemented by cloud providers, multitenancy introduces risks such as data leakage, side-channel attacks, and resource contention. These risks do not exist to the same degree in dedicated on-premises environments. Enterprises must therefore rely on the provider’s ability to enforce isolation, access control, and monitoring.

The other options are not intrinsic cloud risks. Incompatible infrastructure can be addressed through architecture design, lack of skilled personnel is an internal organizational issue, and loss of certification relates to compliance management. Therefore, multitenant deployments represent the risk assumed when using vendor-provided cloud resources.

Governing bodies should be formally tasked during business continuity management testing. Managing Cloud principles explain that governance entities provide oversight, accountability, and assurance that continuity objectives align with organizational strategy and risk tolerance.

Their involvement ensures testing outcomes are reviewed at the appropriate level, deficiencies are addressed, and resources are allocated for remediation. Governance participation also supports compliance and audit requirements.

Operational staff and consultants may participate, but formal tasking resides with governing bodies. Therefore, governing bodies are the correct answer.

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 cloud controller determines whether a server has sufficient capacity and appropriate instance allocation to meet customer requirements. Managing Cloud principles explain that the cloud controller manages resource scheduling, provisioning, and allocation across the cloud infrastructure.

It evaluates available compute, memory, storage, and network resources before assigning workloads to physical or virtual servers. This ensures that customer requests are fulfilled without overcommitting resources or degrading performance.

A cloud provider delivers services, an instance provider is not a standard cloud role, and a UniFi controller manages networking devices. Therefore, the cloud controller is the correct answer.

Object storage architecture enhances the opportunity for enforcing data policies such as data loss prevention (DLP). Managing Cloud principles explain that object storage supports extensive metadata tagging, which allows organizations to classify data, apply sensitivity labels, and enforce security policies directly at the storage level.

By leveraging metadata, DLP solutions can identify sensitive information, apply access restrictions, trigger alerts, or prevent unauthorized data movement. Policies can be consistently enforced across large-scale cloud environments without relying on application-level controls. This makes object storage particularly effective for managing unstructured data such as documents, media files, and backups.

The other options do not provide the same level of policy enforcement. Flash storage focuses on performance, databases rely on structured schemas, and ephemeral storage is temporary and unsuitable for persistent policy enforcement. Therefore, object storage is the most effective architecture for enabling strong data governance and DLP controls in cloud environments.

Infrastructure as a Service (IaaS) requires the greatest level of consumer responsibility for security. Managing Cloud documentation explains that in the shared responsibility model, IaaS providers supply virtualized infrastructure components such as compute, storage, and networking, while consumers manage everything above that layer.

Customers are responsible for securing operating systems, applications, data, access controls, patching, and configuration management. This includes vulnerability management, endpoint security, identity management, and monitoring. While this model provides flexibility and control, it also demands strong security expertise and governance.

In contrast, PaaS and SaaS shift more security responsibilities to the provider, and DBaaS abstracts database management. Therefore, IaaS places the highest security responsibility on the consumer.

A data breach may occur when APIs lack sufficient validation in cloud services. Managing Cloud documentation explains that APIs often serve as primary access points to cloud applications and data.

Without proper input validation, authentication, and authorization checks, APIs can be exploited to access sensitive data, bypass controls, or manipulate backend services. Attackers may inject malicious requests or abuse poorly secured endpoints to extract or alter data.

Inefficient bandwidth usage is a performance issue, perimeter breaches involve network defenses, and crypto-shredding is a data destruction technique. Therefore, data breach is the correct answer.