IIBA IIBA-CCA Certificate in Cybersecurity Analysis (CCA) Exam Practice Test

A cybersecurity infrastructure business case is typically driven by theRiskfunction because the justification for security investments is grounded in reducing enterprise risk to an acceptable level and aligning with the organization’s risk appetite and regulatory obligations. Risk-focused teams (often working with the CISO and security governance) translate threats, vulnerabilities, and control gaps into business impact terms such as likelihood of adverse events, potential operational disruption, financial exposure, regulatory penalties, and reputational harm. This framing is what a formal business case requires: a clear problem statement, quantified or prioritized risk scenarios, expected risk reduction from proposed controls, and how residual risk compares to tolerance thresholds.

WhileITusually leads implementation and provides architecture, sizing, and operational cost estimates, IT alone does not typically “drive” the business case without the risk rationale that explains why the investment is necessary and what enterprise outcomes it protects.Legalcontributes requirements related to compliance, contracts, and breach handling, but it generally supports rather than owns investment prioritization.Financeevaluates budgeting, funding options, and return-on-investment assumptions, yet it relies on risk inputs to understand why the spend is warranted and what loss exposure is being reduced.

Therefore, the organizational area most responsible for driving a cybersecurity infrastructure business case—by defining the risk problem, articulating risk-based benefits, and enabling executive decision-making—isRisk.

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The OSISession Layer(Layer 5) is responsible forestablishing, managing, and terminating sessionsbetween communicating applications. A session is the logical dialogue that allows two endpoints to coordinate how communication starts, how it continues, and how it ends. This includes controlling the “conversation” state, such as who can transmit at what time, maintaining the session so it stays active, and closing it cleanly when it is no longer needed. Because of this, option A best matches the Session Layer’s core responsibilities.

In contrast,presenting data to the receiver in a recognizable formis the job of thePresentation Layer(Layer 6), which deals with formatting, encoding, compression, and often cryptographic transformation concepts.Adding appropriate network addresses to packetsaligns to theNetwork Layer(Layer 3), where logical addressing and routing decisions occur, typically associated with IP addressing.Transmitting the data on the mediumis handled at thePhysical Layer(Layer 1), which concerns signals, cabling, and the actual movement of bits.

From a cybersecurity perspective, session management is important because weaknesses can enablesession hijacking, replay, or fixation, especially when session identifiers are predictable, not protected, or not properly invalidated. Controls commonly include strong authentication, secure session token generation, timeout and reauthentication rules, and proper session termination to reduce exposure.

Directories are commonly organized in a hierarchical structure, where each directory can contain sub-directories and files. In this hierarchy, the directory that contains another directory is referred to as theparent, and the contained sub-directory is referred to as thechild. This parent–child relationship is foundational to how file systems and many directory services represent and manage objects, including how paths are constructed and how inheritance can apply.

From a cybersecurity perspective, understanding parent and child relationships matters because access control and administration often follow the hierarchy. For example, permissions applied at a parent folder may be inherited by child folders unless inheritance is explicitly broken or overridden. This can simplify administration by allowing consistent access patterns, but it also introduces risk: overly permissive settings at a parent level can unintentionally grant broad access to many child locations, increasing the chance of unauthorized data exposure. Security documents therefore emphasize careful design of directory structures, least privilege at higher levels of the hierarchy, and regular permission reviews to detect privilege creep and misconfigurations.

The other options do not describe this standard hierarchy terminology. “Primary and Secondary” is more commonly used for redundancy or replication roles, not directory relationships. “Multi-factor Tokens” relates to authentication factors. “Embedded Layers” is not a st

Separation of duties is a foundational access-control and governance principle designed to reduce the likelihood of misuse, fraud, and significant mistakes by ensuring thatno single individual can complete a critical process end-to-end without independent oversight. Cybersecurity and audit frameworks describe this as splitting high-risk activities into distinct roles so that one person’s actions are checked or complemented by another person’s authority. This limits both intentional abuse, such as unauthorized payments or data manipulation, and unintentional errors, such as misconfigurations or accidental deletion of important records.

In practice, separation of duties is implemented by defining roles and permissions so that incompatible functions are not assigned to the same account. Common examples include separating the ability to create a vendor from the ability to approve payments, separating software development from production deployment, and separating system administration from security monitoring or audit log management. This is reinforced through role-based access control, approval workflows, privileged access management, and periodic access reviews that detect conflicting entitlements and privilege creep.

The value of separation of duties is risk reduction through accountability and control. When actions require multiple parties or independent review, it becomes harder for a single compromised account or malicious insider to cause large harm without detection. It also improves reliability by introducing checkpoints that catch mistakes earlier. Therefore, the correct purpose is to prevent fraud and error.

Ongoing, remote maintenance is one of the most effective ways to improve the security posture of embedded systems over time because it enables timely remediation of newly discovered weaknesses. Embedded devices frequently run firmware that includes operating logic, network stacks, and third-party libraries. As vulnerabilities are discovered in these components, organizations must be able to deploy fixes quickly to reduce exposure. Remote maintenance supports this by enabling over-the-air firmware and software updates, configuration changes, certificate and key rotation, and the rollout of compensating controls such as updated security policies or hardened settings.

Option B is correct because remote maintenance directly addresses the challenge ofdeploying updated firmwareas issues are identified. Cybersecurity guidance for embedded and IoT environments emphasizes secure update mechanisms: authenticated update packages, integrity verification (such as digital signatures), secure distribution channels, rollback protection, staged deployment, and audit logging of update actions. These practices reduce the risk of attackers installing malicious firmware and help ensure devices remain supported throughout their operational life.

The other options are not primarily solved by remote maintenance. Limited CPU and memory are inherent design constraints that may require hardware redesign. Battery and component limitations are also physical constraints. Physical security attacks exploit device access and hardware weaknesses, which require tamper resistance, secure boot, and physical protections rather than remote maintenance alone.

A risk score is commonly calculated by combining two core factors: how likely a risk scenario is to occur and how severe the consequences would be if it did occur. This is often described in cybersecurity risk documentation as likelihood times impact, or as a structured mapping using a risk matrix.Probability or likelihoodreflects the chance that a threat event will exploit a vulnerability under current conditions. It may consider elements such as threat activity, exposure, ease of exploitation, control strength, and historical incident patterns.Impactreflects the magnitude of harm to the organization, usually measured across business disruption, financial loss, legal or regulatory exposure, reputational damage, and harm to confidentiality, integrity, or availability.

While confidentiality, integrity, and availability are essential for understanding what matters and can influence impact ratings, they are typically inputs into impact determination rather than the full scoring method by themselves. Past experience and expert threat assessment can inform likelihood estimates, but they are not the standard calculation model on their own. The key concept is that risk must reflect both chance and consequence; a highly impactful event with very low likelihood may be scored similarly to a moderate impact event with high likelihood depending on the organization’s methodology.

Therefore, the most accurate description of how a risk score is calculated is the combination of probability and impact, enabling prioritization and consistent risk treatment decisions.

Functional security requirements definewhat security capabilities a system must provideto protect information and enforce policy. They describe required security functions such as identification and authentication, authorization, role-based access control, privilege management, session handling, auditing/logging, segregation of duties, and account lifecycle processes. Because of this,user privilegesare a direct and core concern of functional security requirements: the system must support controlling who can access what, under which conditions, and with what level of permission.

In cybersecurity requirement documentation, “privileges” include permission assignment (roles, groups, entitlements), enforcement of least privilege, privileged access restrictions, elevation workflows, administrative boundaries, and the ability to review and revoke permissions. These are functional because they require specific system behaviors and features—for example, the ability to define roles, prevent unauthorized actions, log privileged activities, and enforce timeouts or re-authentication for sensitive operations.

The other options are typically classified differently.System reliabilityandperformance/stabilityare generally non-functional requirements (quality attributes) describing service levels, resilience, and operational characteristics rather than security functions.Identified vulnerabilitiesare findings from assessments that drive remediation work and risk treatment; they inform security improvements but are not themselves functional requirements. Therefore, the option best aligned with functional security requirements is user privileges.

ARecovery Point Objectivedefines the acceptable amount of data loss measured in time. It answers the question: “After an outage or disruptive event,how far back in time can we restore data and still meet business needs?” If the RPO is 4 hours, the organization is stating it can tolerate losing up to 4 hours of data changes, meaning backups, replication, journaling, or snapshots must be frequent enough to restore to a point no older than 4 hours before the incident. That is exactly what option A describes: the specific point in time prior to the outage to which data must be recovered.

RPO is often paired withRecovery Time Objectivebut they are not the same. RTO focuses onhow quicklyservice must be restored, while RPO focuses onhow much datathe organization can afford to lose. Options B, C, and D all describe time-to-restore concepts, which align with RTO or related recovery targets rather than RPO.

In operational resilience and disaster recovery planning, RPO drives technical design choices: backup frequency, replication methods, storage and retention strategies, and validation testing. Lower RPO values generally require more robust and often more expensive solutions, such as near-real-time replication and strong change capture controls. RPO also influences incident response and recovery procedures to ensure restoration steps reliably meet the agreed data-loss tolerance.

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Privileged account management refers to the governance and operational controls used to administer accounts that haveelevated permissionsbeyond standard user access. Privileged accounts can change system configurations, create or modify users, access sensitive datasets, disable security tools, and administer core infrastructure such as servers, databases, directories, network devices, and cloud consoles. Because misuse of privileged access can quickly lead to large-scale compromise, cybersecurity frameworks treat privileged access as a high-risk area requiring stronger safeguards than normal accounts.

The definition in option A is correct because it captures the core purpose of privileged account management:establishing and maintaining access rights and controlsspecifically for roles that must perform administrative or support functions. In practice, this includes ensuring privileges are granted only when justified, scoped to the minimum necessary, and reviewed regularly. It also includes controls such as separation of duties, approval workflows, time-bound elevation, credential vaulting, rotation of privileged passwords and keys, multifactor authentication, and detailed logging of privileged sessions for monitoring and audit.

Option B is too broad because privileged account management is a specialized subset of identity and access management focused on elevated access. Option C is incorrect because privilege is defined by permissions, not job title. Option D describes an authentication concept, not the full management lifecycle of privileged access.

Asecurity information and event management system (SIEM)is designed to centralize and analyze security-relevant data to supportthreat detection, compliance reporting, and incident management. SIEM platforms ingest logs and telemetry from many sources such as servers, endpoints, network devices, firewalls, intrusion detection systems, identity providers, cloud services, and business applications. They normalize and correlate these events so analysts can identify suspicious patterns that would be difficult to see in isolated logs, such as repeated failed logins followed by a successful login from an unusual location, privilege escalation, lateral movement indicators, or abnormal data access.

Cybersecurity operational guidance emphasizes SIEM value in three main areas. First,detection and alerting: correlation rules, behavioral analytics, and threat intelligence enrichment help surface high-risk activity. Second,incident response support: SIEM provides timelines, evidence preservation, triage context, and query capabilities that help responders scope and contain incidents. Third,compliance and audit readiness: centralized log retention, integrity controls, and reporting demonstrate that monitoring and control requirements are operating.

The other options do not match the definition. SaaS is a delivery model, not a specific security monitoring capability. A threat risk assessment is a process, not a software product for event collection and correlation. A CASB focuses on governing and protecting cloud application usage, whereas SIEM focuses on cross-environment event aggregation, correlation, and security operations monitoring.

NIST SP 800-30 Rev. 1 defines qualitative risk severity levels using consistent impact language. In its assessment scale,“Moderate”is explicitly tied to events that can be expected to have aserious adverse effecton organizational operations, organizational assets, individuals, other organizations, or the Nation.

A “serious adverse effect” is described as outcomes such as asignificant degradation in mission capabilitywhere the organization can still perform its primary functions but withsignificantly reduced effectiveness,significant damageto organizational assets,significant financial loss, orsignificant harm to individualsthat does not involve loss of life or life-threatening injuries. This phrasing is used to distinguish “Moderate” from “Low” (limited adverse effect) and from “High” (severe or catastrophic adverse effect).

This classification matters in enterprise risk because it drives prioritization and control selection. A “Moderate” rating typically triggers stronger treatment actions than “Low,” such as tighter access controls, enhanced monitoring, more frequent vulnerability remediation, stronger configuration management, and improved incident response readiness. It also helps leaders compare risks consistently across systems and business processes by anchoring severity to clear operational and harm-based criteria rather than subjective judgment.

Multiple attempts by unauthorized users to access confidential data most closely aligns with activity from a hacker, meaning an unauthorized actor attempting to gain access to systems or information. Cybersecurity operations commonly observe this pattern as repeated login failures, password-spraying, credential-stuffing, brute-force attempts, repeated probing of restricted endpoints, or abnormal access requests against protected repositories. While “user” is too generic and could include authorized individuals, the question explicitly states “unauthorized users,” pointing to malicious or illegitimate actors. “Admin” and “IT Support” are roles typically associated with legitimate privileged access and operational troubleshooting; repeated unauthorized access attempts from those roles would be atypical and would still represent compromise or misuse rather than normal operations. Cybersecurity documentation often classifies these attempts as indicators of malicious intent and potential precursor events to a breach. Controls recommended to counter such activity include strong authentication (multi-factor authentication), account lockout and throttling policies, anomaly detection, IP reputation filtering, conditional access, least privilege, and monitoring of authentication logs for patterns across accounts and geographies. The key distinction is that repeated unauthorized attempts represent hostile behavior by an external or rogue actor, which is best described as a hacker in the provided options.

AnAccess Control List (ACL)is a structured, system-maintained list of authorization rules that specifieswho or what is allowed to access a resourceand what actions are permitted. In many operating systems, network devices, and applications, an ACL functions as an internal table that maps identities such as user IDs, group IDs, service accounts, or even device/terminal identifiers to permissions like read, write, execute, modify, delete, or administer. When a subject attempts to access an object, the system consults the ACL to determine whether the requested operation should be allowed or denied, enforcing the organization’s security policy at runtime.

The description in the question matches the classic definition of an ACL as a computerized table of access rules tied to login IDs and sometimes the originating endpoint or terminal context. ACLs are central to implementingdiscretionary access controland are also widely used in networking (for example, permitting or denying traffic flows based on source/destination and ports) and file systems (controlling access to folders and files).

AnAccess Control Entry (ACE)is only a single line item within an ACL (one rule for one subject). A “Relational Access Database” is not a standard security control term for authorization tables. A “Directory Management System” manages identities and groups, but it is not the same as the enforcement list attached to a specific resource. Therefore, the correct answer isAccess Control List.

Transport Layer Security (TLS) strengthens the trustworthiness of application communications by ensuring that data exchanged over an untrusted network is not silently modified and is coming from the expected endpoint. While TCP provides delivery features such as sequencing and retransmission, TLS contributes to what many cybersecurity documents describe as “reliable” secure communication by addingcryptographic integrity protections. TLS uses integrity checks (such as message authentication codes in older versions/cipher suites, or authenticated encryption modes like AES-GCM and ChaCha20-Poly1305 in modern TLS) so that any alteration of data in transit is detected. If an attacker intercepts traffic and tries to change commands, session data, or application content, the integrity verification fails and the connection is typically terminated, preventing corrupted or manipulated messages from being accepted as valid.

This is distinct from merely being “stateful” (a transport-layer property) or “using TCP/IP” (a networking stack choice). TLS can run over TCP and relies on TCP for delivery reliability, but TLS itself is focused onconfidentiality, integrity, and endpoint authentication. Public/private keys and certificates are used during the TLS handshake to authenticate servers (and optionally clients) and to establish shared session keys, but the ongoing protection that prevents undetected tampering is the integrity check on each protected record. Therefore, the best match to how TLS ensures secure, dependable communication is the message integrity mechanism described in option B.

An embedded system is a specialized computing system designed to perform a dedicated function as part of a larger device or physical system. Unlike general-purpose computers, embedded systems are built to support a specific mission such as controlling sensors, actuators, communications, or device logic in products like routers, printers, medical devices, vehicles, industrial controllers, and smart appliances. Cybersecurity documentation commonly highlights that embedded systems tend to operate with constrained resources, which may include limited CPU power, memory, storage, and user interface capabilities. These constraints affect both design and security: patching may be harder, logging may be minimal, and security features must be carefully engineered to fit the platform’s limitations.

Option C best matches this characterization by describing a small form factor and limited processing power, which are typical attributes of many embedded devices. While not every embedded system is “small,” the key idea is that it is purpose-built, resource-constrained, and tightly integrated into a larger product.

The other options describe different concepts. A secure underground facility relates to physical site security, not embedded computing. Being hard to remove is about physical installation or tamper resistance, which can apply to many systems but is not what defines “embedded.” Storing cryptographic keys in a tamper-resistant external device describes a hardware security module or secure element use case, not the general definition of an embedded system.

An organization’s risk management strategy is a governance-level artifact that sets direction for how risk is managed across the enterprise. A core requirement in cybersecurity governance frameworks is clear accountability, including executive ownership for risk decisions that affect the whole organization. Assigning an executive responsible for risk management establishes authority to set risk appetite and tolerance, coordinate risk activities across business units, resolve conflicts between competing priorities, and ensure risk decisions are made consistently rather than in isolated silos. This executive role also supports oversight of risk reporting to senior leadership, ensures resources are allocated to address material risks, and drives integration between cybersecurity, privacy, compliance, and operational resilience programs. Without an accountable executive function, risk management often becomes fragmented, with inconsistent scoring, uneven control implementation, and unclear decision rights for accepting or treating risk.

Option A can be part of a strategy, but the question asks what should be addressed, and the most critical foundational element is enterprise accountability and governance. Option B is too granular for a strategy; selecting controls for each IT asset belongs in security architecture, control baselines, and system-level risk assessments. Option C is typically handled in incident response and breach management plans and procedures, which are operational documents derived from strategy but not the strategy itself. Therefore, the best answer is the assignment of an executive responsible for risk management across the organization.

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Risk mitigation is the risk treatment approach focused onreducing risk to an acceptable levelby lowering either the likelihood of a risk event, the impact of that event, or both. In cybersecurity risk management, mitigation is accomplished by implementingcontrols and countermeasuressuch as technical safeguards, process changes, and administrative measures. Examples include patching vulnerable systems, hardening configurations, enabling multi-factor authentication, applying least privilege, network segmentation, encryption, improved logging and monitoring, secure development practices, and user awareness training. Each of these actions reduces exposure or limits damage if an incident occurs.

The other options describe different risk treatment strategies, not mitigation. Purchasing insurance is generally consideredrisk transfer, where financial impact is shifted to a third party, but the underlying threat and vulnerability may still exist. Eliminating risk by stopping the risky activity isrisk avoidance; it removes the exposure by discontinuing the process, system, or behavior causing the risk. Documenting the risk and preparing a recovery plan aligns more closely withrisk acceptancecombined withcontingency planningor resilience planning; it acknowledges the risk and focuses on recovery rather than reducing the probability of occurrence.

Therefore, the correct definition of risk mitigation is reducing the risk through implementing one or more countermeasures.

In cybersecurity risk management,risk treatmentis the set of actions used to reduce risk to an acceptable level. The most common tool used to directly treat or mitigate cyber risk is acontrolbecause controls are the specific safeguards that prevent, detect, or correct adverse events. Cybersecurity frameworks describe controls as measures implemented to reduce either thelikelihoodof a threat event occurring or theimpactif it does occur. Controls can be technical (such as multifactor authentication, encryption, endpoint protection, network segmentation, logging and monitoring), administrative (policies, standards, training, access approvals, change management), or physical (badges, locks, facility protections). Regardless of type, controls are the direct mechanism used to mitigate identified risks.

Anexit strategyis typically a vendor or outsourcing risk management concept focused on how to transition away from a provider or system; it supports resilience but is not the primary tool for directly mitigating a specific cyber risk.Standardsguide consistency by defining required practices and configurations, but the standard itself is not the mitigation—controls implemented to meet the standard are. Abusiness continuity plansupports availability and recovery after disruption, which is important, but it primarily addresses continuity and recovery rather than directly reducing the underlying cybersecurity risk in normal operations. Therefore, the best answer is the one that represents the direct implementation of safeguards:controls.

In cybersecurity guidance,employees are often described as the first and last line of defensebecause human actions influence nearly every stage of an attack. They are thefirst linesince many threats begin with user interaction: phishing emails, malicious links, social engineering calls, unsafe file handling, weak passwords, and accidental disclosure of sensitive information. A well-trained user who recognizes suspicious requests, verifies identities, and reports anomalies can stop an incident before any technical control is even engaged.

Employees are also thelast linebecause technical protections such as firewalls, filters, and endpoint tools are not perfect. Attackers routinely bypass or evade automated defenses using stolen credentials, living-off-the-land techniques, misconfigurations, or novel malware. When those controls fail, the organization still depends on people to apply secure behaviors: following least privilege, protecting credentials, using multifactor authentication correctly, confirming out-of-band requests for payments or data, and escalating unusual activity quickly. Incident response, containment, and recovery also depend on humans making correct decisions under pressure, following documented procedures, and communicating accurately.

Cybersecurity documents emphasize that a strong security culture, regular awareness training, role-based education, clear reporting channels, and consistent policy enforcement reduce human-enabled risk and turn employees into an effective security control rather than a vulnerability.

In NIST-style risk assessment,overall likelihoodis not a single guess; it is derived by considering two related likelihood components. First isthe likelihood that a threat event will be initiated. This reflects how probable it is that a threat actor or source will attempt the attack or that a threat event will occur, considering factors such as adversary capability, intent, targeting, opportunity, and environmental conditions. Second isthe likelihood that an initiated event will succeed, meaning the attempt results in the adverse outcome. This depends heavily on the organization’s existing protections and conditions, including control strength, system exposure, vulnerabilities, misconfigurations, detection and response capability, and user behavior.

Option A matches this structure: analysts evaluate bothattack initiation likelihoodandinitiated attack success likelihoodto reach an overall view of likelihood. A high initiation likelihood with low success likelihood might occur when an organization is frequently targeted but has strong defenses. Conversely, low initiation likelihood with high success likelihood might apply to niche systems that are rarely targeted but poorly protected.

The other options are incomplete or misplaced. Risk impact is a separate dimension from likelihood, and mitigation strategy is an output of risk treatment, not an input to likelihood. Site traffic and commerce volume can influence exposure but do not define likelihood by themselves. Past experience and trends are useful evidence, but they support estimating the two likelihood components rather than replacing them.

The GDPR establishes a regulatory penalty framework intended to make privacy and data-protection obligations enforceable across organizations of any size. Under GDPR, the most severe administrative fines can reachup to €20 million or up to 4% of the organization’s total worldwide annual turnover of the preceding financial year, whichever is higher. That “whichever is greater” clause is critical: it prevents large enterprises from treating privacy violations as a minor cost of doing business and ensures the sanction can scale with the organization’s economic size and risk impact.

Cybersecurity governance and risk documents typically emphasize GDPR as a driver for enterprise risk management because the consequences extend beyond monetary fines. A confirmed violation often triggers regulatory investigations, mandatory corrective actions, and potential restrictions on processing activities. Organizations may also face indirect impacts such as breach notification costs, legal claims from affected individuals, reputational harm, loss of customer trust, and increased oversight by regulators and auditors.

From a controls perspective, GDPR penalties reinforce the need for strong security and privacy-by-design practices: data minimization, lawful processing, documented purposes, retention controls, encryption where appropriate, access control and least privilege, monitoring and incident response readiness, and evidence-based accountability through policies, records, and audit trails. Selecting option C correctly reflects GDPR’s maximum fine structure and its risk-based deterrence model.

Whitelisting, often called an “allow list,” is a security approach where access is granted only toexplicitly approvedidentities, services, applications, IP addresses, domains, or network flows. In network security, this means the default stance is “deny by default,” and only pre-authorized entities are allowed to communicate or use specific resources. Option C matches this definition because it describes the core idea: explicitly permitting known, approved subjects (people, groups, service accounts, systems) to access a defined privilege or service.

Cybersecurity documents emphasize whitelisting as a strong risk-reduction technique because it constrains the attack surface. Instead of trying to block every bad thing (which is difficult due to evolving threats), whitelisting focuses on allowing only what is required for business operations. Examples include firewall rules that only permit specific source IPs to reach an admin interface, network segmentation policies that allow only required ports between zones, and application whitelisting that permits only approved executables to run. When implemented correctly, it reduces lateral movement opportunities, limits command-and-control traffic, and prevents unauthorized tools from executing.

Whitelisting is different from segmentation (option A), which is about isolating zones based on security needs, and different from blacklisting (option B), which blocks known-bad items. It is also not malware scanning (option D), which detects malicious code after it appears. Whitelisting aligns with least privilege and zero trust principles by tightly controlling what is allowed.