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| Certification Vendor: | IIBA |
|---|---|
| Exam Name: | Certificate in Cybersecurity Analysis (CCA) Exam |
| Exam Number: | IIBA-CCA |
| Real Exam Qty: | 75 |
| Exam Format: | Competency-based, Multiple-choice, Knowledge-based |
| Exam Duration: | 90 minutes |
| Available Languages: | English |
| Exam Price: | $250 (IIBA Member), $400 (Non-Member) |
| Certificate Validity Period: | 3 years |
| Passing Score: | Not published; result shown as Pass/Fail |
| Recommended Training: | IIBA Endorsed Education Providers IIBA CCA Exam Handbook |
| Exam Registration: | PSI Exam Scheduling IIBA Official Registration |
| Sample Questions: | IIBA IIBA-CCA Sample Questions |
| Exam Way: | Online remote proctored exam |
| Pre Condition: | No formal prerequisites; recommended background in business analysis or IT |
| Official Syllabus URL: | https://www.iiba.org/business-analysis-certifications/certificate-in-cybersecurity-analysis/ |
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NEW QUESTION # 37
Public & Private key pairs are an example of what technology?
Answer: A
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 # 38
The hash function supports data in transit by ensuring:
Answer: C
Explanation:
A cryptographic hash function supports data in transit primarily by providing integrity assurance. When a sender computes a hash (digest) of a message and the receiver recomputes the hash after receipt, the two digests should match if the message arrived unchanged. If the message is altered in any way while traveling across the network-whether by an attacker, a faulty intermediary device, or transmission errors-the recomputed digest will differ from the original. This difference is the key signal that the message was modified in transit, which is what option B expresses. In practical secure-transport designs, hashes are typically combined with a secret key or digital signature so an attacker cannot simply modify the message and generate a new valid digest. Examples include HMAC for message authentication and digital signatures that hash the content and then sign the hash with a private key. These mechanisms provide integrity and, when keyed or signed, also provide authentication and non-repudiation properties.
Option A is more specifically about authentication of origin, which requires a keyed construction such as HMAC or a signature scheme; a plain hash alone cannot prove who sent the message. Option C is incorrect because keys are not "converted" from public to private. Option D relates to confidentiality, which is provided by encryption, not hashing. Therefore, the best answer is B because hashing enables detection of message modification during transit.
NEW QUESTION # 39
What risk factors should the analyst consider when assessing the Overall Likelihood of a threat?
Answer: B
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 # 40
If a system contains data with differing security categories, how should this be addressed in the categorization process?
Answer: A
Explanation:
When a system processes multiple information types with different security categorizations, cybersecurity standards require the system's overall security categorization to reflect the highest impact level among those information types. This is commonly called the high-water mark approach. The reason is straightforward: the system is only as secure as the protection applied to the most sensitive or most mission-critical data it handles. If the system were categorized at the lowest impact value, an attacker could target the weaker control baseline and still reach higher-impact information, creating an unacceptable gap in confidentiality, integrity, or availability protection.
In practice, categorization evaluates the potential impact of loss for each of the three security objectives and then selects the highest level for each objective across all information types handled by the system. That resulting system categorization then drives control selection, assurance activities, and the rigor of monitoring and incident response expectations. This approach also supports consistent governance: it prevents under-protecting systems that contain a mix of low and high sensitivity information and aligns control strength with worst-case business impact.
Segregating data across systems can be a valid architecture decision to reduce cost or scope, but it is not the required categorization rule; it is an optional design strategy that must be justified and implemented securely. Merging categories or using the lowest value contradicts risk-based protection principles and would likely fail compliance and audit scrutiny.
NEW QUESTION # 41
Which capability would a solution option need to demonstrate in order to satisfy Logging Requirements?
Answer: B
Explanation:
Logging requirements in cybersecurity focus on ensuring the system can produce reliable, actionable records that support detection, investigation, compliance, and accountability. The most fundamental capability is the ability to record information about user access and actions within the system. This includes authentication events such as logon success or failure, logoff, session creation, and privilege elevation; authorization decisions such as access granted or denied; and security-relevant actions such as viewing, creating, modifying, deleting, exporting, or transmitting sensitive data. Good security logging also captures context like timestamp synchronization, user or service identity, source device or IP, target resource, action performed, and outcome.
This capability supports multiple operational needs. Security monitoring teams rely on logs to identify anomalies like repeated failed logins, unusual access times, access from unexpected locations, or high-risk administrative changes. Incident responders need logs to reconstruct timelines, confirm scope, and preserve evidence. Auditors and compliance teams require logs to demonstrate control effectiveness, segregation of duties, and traceability of changes.
The other options are not sufficient to satisfy logging requirements. Single sign-on can simplify authentication but does not guarantee application-level activity logging. Integration with specialized tools may be useful, but the solution must first generate the required events. Deployment model options do not address whether the system can create detailed audit trails. Therefore, the required capability is recording user access and actions in the system.
NEW QUESTION # 42
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