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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Security | 15% | - Encryption and protection methods - Data classification and handling - Data privacy and compliance - Data lifecycle security |
| Topic 2: Securing the Layers | 5% | - Cloud security fundamentals - Network security - Application security - Endpoint security |
| Topic 3: Enterprise Risk | 14% | - Risk treatment and mitigation strategies - Risk appetite and tolerance - Risk identification and assessment |
| Topic 4: Solution Delivery | 13% | - Security in solution design - Security testing and validation - Integrating security into requirements - Secure implementation and deployment |
| Topic 5: Cybersecurity Risks and Controls | 12% | - Defense in depth approach - Control categories and implementation - Types of cybersecurity threats and vulnerabilities |
| Topic 6: User Access Control | 15% | - Access reviews and recertification - Identity and access management principles - Authentication and authorization - Privileged access management |
| Topic 7: Cybersecurity Overview and Basic Concepts | 14% | - Role of Business Analysis in Cybersecurity - Core cybersecurity terminology and principles - Cybersecurity frameworks and standards |
| Topic 8: Operations | 12% | - Security monitoring and incident response - Change management and security - Business continuity and disaster recovery - Security awareness and training |
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NEW QUESTION # 57
NIST 800-30 defines cyber risk as a function of the likelihood of a given threat-source exercising a potential vulnerability, and:
Answer: B
Explanation:
NIST SP 800-30 describes risk using a classic risk model: risk is a function of likelihood and impact. In this model, a threat-source may exploit a vulnerability, producing a threat event that results in adverse consequences. The likelihood component reflects how probable it is that a threat event will occur and successfully cause harm, considering factors such as threat capability and intent (or in non-adversarial cases, the frequency of hazards), the existence and severity of vulnerabilities, exposure, and the strength of current safeguards. However, likelihood alone does not define risk; a highly likely event that causes minimal harm may be less important than a less likely event that causes severe harm.
The second required component is the impact-the magnitude of harm to the organization if the adverse event occurs. Impact is commonly evaluated across mission and business outcomes, including financial loss, operational disruption, legal or regulatory consequences, reputational damage, and loss of confidentiality, integrity, or availability. This is why option D is correct: NIST's definition explicitly ties the risk expression to the resulting impact on the organization.
The other options may influence likelihood assessment or control selection, but they are not the missing definitional element. Detection probability and control assurance relate to monitoring and governance; predisposing conditions can shape likelihood. None replace the
NEW QUESTION # 58
How is a risk score calculated?
Answer: D
Explanation:
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 likelihood reflects 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. Impact reflects 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.
NEW QUESTION # 59
Information classification of data is a level of protection that is based on an organization's:
Answer: B
Explanation:
Information classification is the practice of assigning data a sensitivity level so the organization can apply protections that match the business impact if the information is exposed, altered, or becomes unavailable. The core driver for classification is the risk of harm-especially harm caused by unauthorized disclosure. If disclosure would result in regulatory penalties, reputational damage, competitive disadvantage, contractual breach, or harm to customers and employees, the data is classified at a higher level and requires stronger controls. These controls commonly include tighter access restrictions (least privilege and role-based access), stronger authentication, encryption at rest and in transit, stricter handling and sharing rules, audit logging, monitoring, and secure disposal requirements.
While retention can be influenced by compliance obligations, it is not what determines the classification level; retention policies typically reference classification but do not define it. "Need for access" is managed through access control decisions, which are applied after the data's sensitivity is understood; classification informs who should have access, not the other way around. "Timing of availability" relates to availability requirements and service resilience, which are important, but classification schemes primarily focus on sensitivity and potential damage from inappropriate exposure, with integrity and availability considerations often handled as additional impact dimensions.
Therefore, the best verified basis for information classification is the organization's assessment of risk of loss or harm from disclosure.
NEW QUESTION # 60
Why would a Business Analyst include current technology when documenting the current state business processes surrounding a solution being replaced?
Answer: C
Explanation:
A Business Analyst documents current technology in the "as-is" state because business processes are rarely isolated; they depend on applications, interfaces, data exchanges, identity services, and shared infrastructure. From a cybersecurity perspective, replacing one solution can unintentionally change trust boundaries, authentication flows, authorization decisions, logging coverage, and data movement across integrated systems. Option B is correct because understanding the current technology landscape helps identify where security impacts may occur across the value chain, including upstream data providers, downstream consumers, third-party services, and internal platforms that rely on the existing system.
Cybersecurity documents emphasize that integration points are common attack surfaces. APIs, file transfers, message queues, single sign-on, batch jobs, and shared databases can introduce risks such as broken access control, insecure data transmission, data leakage, privilege escalation, and gaps in monitoring. If the BA captures current integrations, dependencies, and data flows, the delivery team can properly perform threat modeling, define security requirements, and avoid breaking compensating controls that other systems depend on. This also supports planning for secure decommissioning, migration, and cutover, ensuring credentials, keys, service accounts, and network paths are rotated or removed appropriately.
The other options are less precise for the question. Training is not the core driver for documenting current technology. Governance requirements apply broadly but do not explain why current tech must be included. Data classification is important, but it is a separate activity from capturing technology dependencies needed to assess integration security impacts.
NEW QUESTION # 61
Public & Private key pairs are an example of what technology?
Answer: B
Explanation:
Public and private key pairs are the foundation of asymmetric encryption, also called public key cryptography. In this model, each entity has two mathematically related keys: a public key that can be shared widely and a private key that must be kept secret. The keys are designed so that what one key does, only the other key can undo. This enables two core security functions used throughout cybersecurity architectures.
First, confidentiality: data encrypted with a recipient's public key can only be decrypted with the recipient's private key. This allows secure communication without having to share a secret key in advance, which is especially important on untrusted networks like the internet. Second, digital signatures: a sender can sign data with their private key, and anyone can verify the signature using the sender's public key. This provides authenticity (proof the sender possessed the private key), integrity (the data was not altered), and supports non-repudiation when combined with proper key custody and audit practices.
These mechanisms underpin widely used security controls such as TLS for secure web connections, secure email standards, code signing, and certificate-based authentication. A VPN may use public key cryptography during key exchange, but the key pair itself is specifically an encryption technology. IoT and network segregation are unrelated categories.
NEW QUESTION # 62
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