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| Section | Objectives |
|---|---|
| Topic 1: Security Governance | - Risk Management - Compliance |
| Topic 2: Identity and Access Management | - Authorization - Authentication |
| Topic 3: Cybersecurity Fundamentals | - Core Concepts - Terminology - Principles |
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NEW QUESTION # 15
ITIL Information Technology Infrastructure Library defines:
Answer: D
Explanation:
ITIL is a widely adopted framework that defines best-practice guidance for IT Service Management. Its focus is on how organizations design, deliver, operate, and continually improve IT services so they reliably support business outcomes. In cybersecurity and service delivery documentation, ITIL is often referenced because strong service management processes are foundational to secure operations. For example, ITIL practices such as incident management, problem management, change enablement, configuration management, and service continuity help ensure security controls are implemented consistently and that deviations are identified, tracked, and corrected.
ITIL does not define how hardware systems interface securely with one another; that is more aligned with architecture standards, security engineering, and network or platform design frameworks. It also does not prescribe a universal set of components for every technology system; that belongs to reference architectures and enterprise architecture standards. Likewise, ITIL is not primarily a security requirements standard. While ITIL supports security governance through practices like risk management, access management, and information security management integration, it does not itself serve as a mandatory security control catalog.
From a cybersecurity perspective, ITIL contributes by promoting repeatable processes, clear roles and responsibilities, measurable service levels, and continual improvement. These elements reduce operational risk, improve response effectiveness, and strengthen accountability-key requirements for maintaining confidentiality, integrity, and availability in production environments.
NEW QUESTION # 16
There are three states in which data can exist:
Answer: B
Explanation:
Data is commonly categorized into three states because the threats and protections change depending on where the data is and what is happening to it. Data at rest is stored on a device or system, such as databases, file shares, endpoints, backups, and cloud storage. The main risks are unauthorized access, theft of storage media, misconfigured permissions, and improper disposal. Controls typically include strong access control, encryption at rest with sound key management, secure configuration and hardening, segmentation, and resilient backup protections including restricted access and immutability.
Data in transit is data moving between systems, such as client-to-server traffic, service-to-service connections, API calls, and email routing. The primary risks are interception, alteration, and impersonation through man-in-the-middle techniques. Standard controls include transport encryption (such as TLS), strong authentication and certificate validation, secure network architecture, and monitoring for anomalous connections or data flows.
Data in use is actively processed in memory by applications and users, for example when a document is opened, a record is processed by an application, or data is displayed to a user. This state is challenging because data may be decrypted for processing. Controls include least privilege, strong authentication and session management, endpoint protection, application security controls, and secure development practices, with hardware-backed isolation when required.
NEW QUESTION # 17
Cybersecurity regulations typically require that enterprises demonstrate that they can protect:
Answer: C
Explanation:
Cybersecurity regulations most commonly focus on the protection of personal data, because misuse or exposure can directly harm individuals through identity theft, fraud, discrimination, or loss of privacy. Privacy and data-protection laws typically require organizations to implement appropriate safeguards to protect personal information across its lifecycle, including collection, storage, processing, sharing, and disposal. In cybersecurity governance documentation, this obligation is often expressed through requirements to maintain confidentiality and integrity of personal data, limit access based on business need, and ensure accountability through logging, monitoring, and audits.
Demonstrating protection of personal data generally includes having a documented data classification scheme, clearly defined lawful purposes for processing, retention limits, and secure handling procedures. Technical controls commonly expected include strong authentication, least privilege and role-based access control, encryption for data at rest and in transit, secure key management, endpoint and server hardening, vulnerability management, and continuous monitoring for suspicious activity. Operational capabilities such as incident response, breach detection, and timely notification processes are also emphasized because regulators expect organizations to manage and report material data exposures appropriately.
While protecting applications, intellectual property, and ensuring continuity are important security objectives, they are not the primary focus of many cybersecurity regulations in the same consistent way as personal data protection. Therefore, the best answer is personal data of customers and employees.
NEW QUESTION # 18
Organizations who don't quantify this will likely miss opportunities toward achieving strategic goals and objectives:
Answer: A
Explanation:
Risk appetite is the amount and type of risk an organization is willing to pursue or retain in order to achieve its objectives. Cybersecurity and enterprise risk management guidance treats risk appetite as a strategic input because it shapes decision-making across portfolios, programs, and day-to-day operations. When risk appetite is quantified through measurable statements and thresholds, leaders can compare proposed initiatives against agreed limits and make consistent trade-offs between speed, cost, innovation, and protection.
If an organization does not quantify risk appetite, it often defaults to inconsistent behavior: some teams become overly cautious and reject beneficial initiatives, while others take uncontrolled risk because there is no clear boundary. Both outcomes can cause missed opportunities. Over-caution can delay digital transformation, cloud adoption, automation, and new customer capabilities. Under-defined boundaries can also lead to surprise losses, regulatory issues, and unplanned remediation that consumes budget and time-reducing the organization's ability to execute strategy.
Quantified risk appetite enables practical governance: it guides which risks can be accepted, which require mitigation, and which must be escalated for executive decision. It also supports prioritization of security investments by focusing resources on risks that exceed tolerance and allowing faster approval for activities that fall within appetite. In short, risk appetite is the strategic "north star" that aligns cybersecurity risk-taking with business goals, making option D the correct choice.
NEW QUESTION # 19
Which of the following is a cybersecurity risk that should be addressed by business analysis during solution development?
Answer: A
Explanation:
Business analysis is responsible for ensuring the solution is correctly understood in terms of business purpose, process flows, data handling, user roles, integrations, and non-functional requirements such as security and privacy. If the solution is not understood well enough, security risks will be missed early, leading to gaps that are expensive and difficult to correct later. This is why option C is the best answer: inadequate understanding prevents reliable identification of threats, sensitive data paths, trust boundaries, and misuse cases during requirements and design stages.
Cybersecurity documents emphasize "security by design" and "shift-left" practices, meaning risks should be identified and addressed before build and test. Business analysis contributes by eliciting and documenting security requirements, clarifying data classification and retention needs, defining user access and privilege expectations, identifying regulatory and policy constraints, and ensuring interfaces and third-party dependencies are known and assessed. BA also supports threat modeling inputs by providing accurate context about actors, workflows, and data movement, which are essential for identifying where controls like authentication, authorization, logging, encryption, and validation must exist.
Other options align to different roles or stages: budgets are governance and project management constraints, QA limitations are testing risks, and coding-introduced vulnerabilities are primarily addressed through secure coding standards, code review, and developer practices. BA's key cybersecurity risk is incomplete understanding that prevents correct security requirements and risk identification.
NEW QUESTION # 20
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