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>> IIBA-CCA New Practice Questions <<
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NEW QUESTION # 67
The process by which organizations assess the data they hold and the level of protection it should be given based on its risk to loss or harm from disclosure, is known as:
Answer: D
Explanation:
Information classification is the formal process of evaluating the data an organization creates or holds and assigning it a sensitivity level so the organization can apply the right safeguards. Cybersecurity policies describe classification as the foundation for consistent protection because it links the potential harm from unauthorized disclosure, alteration, or loss to specific handling and control requirements. Typical classification labels include Public, Internal, Confidential, and Restricted, though names vary by organization. Once data is classified, required protections can be specified, such as encryption at rest and in transit, access restrictions based on least privilege, approved storage locations, monitoring requirements, retention periods, and secure disposal methods.
This is not a vulnerability assessment, which focuses on identifying weaknesses in systems, applications, or configurations. It is also not an internal audit, which evaluates whether controls and processes are being followed and are effective. Option D, information categorization, is often used in some frameworks to describe assigning impact levels (for example, confidentiality, integrity, availability impact) to information types or systems, mainly to drive control baselines. While related, the question specifically emphasizes assessing data and deciding the level of protection based on risk from disclosure, which aligns most directly with classification programs used to govern labeling and handling rules across the organization.
A strong classification program improves security consistency, supports compliance, reduces accidental exposure, and helps prioritize controls for the most sensitive information assets.
NEW QUESTION # 68
How should categorization information be used in business impact analysis?
Answer: D
NEW QUESTION # 69
A software product that supports threat detection, and compliance and security incident management, through the collection and analysis of security events and other data sources, is known as a:
Answer: B
Explanation:
A security information and event management system (SIEM) is designed to centralize and analyze security-relevant data to support threat 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.
NEW QUESTION # 70
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 # 71
What risk factors should the analyst consider when assessing the Overall Likelihood of a threat?
Answer: C
Explanation:
In NIST-style risk assessment, overall likelihood is not a single guess; it is derived by considering two related likelihood components. First is the 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 is the 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 both attack initiation likelihood and initiated attack success likelihood to 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.
NEW QUESTION # 72
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