PECB ISO-IEC-27001-Lead-Auditor Study & Exam Dumps 2025

PECB Certified ISO/IEC 27001 2022 Lead Auditor exam Questions and Answers

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Question 1

You are an experienced ISMS audit team leader conducting a third-party surveillance audit of an internet services provider. You are reviewing the organization's risk assessment processes for conformity with ISO/IEC 27001:2022.

Which three of the following audit findings would prompt you to raise a nonconformity report?

Options:

Both systems contain additional information security risks which are not associated with preserving the confidentiality, integrity and accessibility of information

The organisation is treating information security risks in the order in which they are identified

The organisation's information security risk assessment process suggests each risk is allocated a risk owner

The organisation has not used RAG (Red, Amber, Green) to classify its' information security risks. Instead, it has used a smiling emoji, a neutral face emoji and a sad face emoji

The organisation's risk assessment criteria have not been reviewed and approved by top management

The organisation's information security risk assessment process is based solely on an assessment of the impact of each risk

The organisation has assessed the probability of all of its information security risks as either 0%, 25%, 50%, 75% or 100%

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Answer:

B, E, F

Explanation:

The three audit findings that would prompt you to raise a nonconformity report are:

•The organisation is treating information security risks in the order in which they are identified

•The organisation’s risk assessment criteria have not been reviewed and approved by top management

•The organisation’s information security risk assessment process is based solely on an assessment of the impact of each risk

According to ISO/IEC 27001:2022, clause 6.1.2, the organisation must establish and maintain an information security risk management process that is consistent with the organisation’s context and aligned with its overall risk management approach1. This process must include the following steps:

•Establishing the risk assessment criteria, which must be approved by top management and reflect the organisation’s risk appetite and objectives2

•Identifying the information security risks, which must consider the assets, threats, vulnerabilities, impacts, and likelihoods3

•Analysing the information security risks, which must determine the levels of risk and compare them with the risk criteria4

•Evaluating the information security risks, which must prioritise the risks and decide whether they need treatment or not5

Therefore, the audit findings B, E, and F indicate that the organisation is not following the required steps of the information security risk management process, and thus are nonconformities with the standard.

The other audit findings are not necessarily nonconformities, as they may be acceptable depending on the organisation’s context and justification. For example:

•Audit finding A may be acceptable if the organisation has identified and treated the additional information security risks that are relevant to its scope and objectives, and has documented the rationale for doing so6

•Audit finding C may be acceptable if the organisation has assigned clear roles and responsibilities for the information security risk management process, and has ensured that the risk owners have the authority and competence to manage the risks7

•Audit finding D may be acceptable if the organisation has defined and communicated the meaning and implications of the emoji-based risk classification, and has ensured that it is consistent with the risk criteria and the risk treatment process8

•Audit finding G may be acceptable if the organisation has justified the use of discrete values for the probability of the information security risks, and has ensured that they are realistic and consistent with the risk criteria and the risk analysis method9

•Audit finding H may be acceptable if the organisation has established and maintained different systems for assessing operational and strategic information security risks, and has ensured that they are integrated and aligned with the overall risk management approach and the ISMS objectives10

[References: 1: ISO/IEC 27001:2022, 6.1.2; 2: ISO/IEC 27001:2022, 6.1.2 a); 3: ISO/IEC 27001:2022, 6.1.2 b); 4: ISO/IEC 27001:2022, 6.1.2 c); 5: ISO/IEC 27001:2022, 6.1.2 d); 6: ISO/IEC 27001:2022, A.0.2; 7: ISO/IEC 27001:2022, 5.3; 8: ISO/IEC 27001:2022, 6.1.2 a) 2); 9: ISO/IEC 27001:2022, 6.1.2 c) 2); 10: ISO/IEC 27001:2022, 6.1.2 a) 1); : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022; : ISO/IEC 27001:2022, , , ]

Question 2

Scenario 1

Fintive is a distinguished security provider specializing in online payments and protection solutions. Founded in 1999 by Thomas Fin in San Jose, California, Fintive offers services to companies operating online that seek to improve their information security, prevent fraud, and protect user information such as personally identifiable information (PII).

Fintive bases its decision-making and operational processes on previous cases, gathering customer data, classifying them according to the case, and analyzing them.

Initially, Fintive required a large number of employees to be able to conduct such complex analyses. However, as technology advanced, the company recognized an opportunity to implement a modern tool — a chatbot — to achieve pattern analyses aimed at preventing fraud in real time. This tool would also assist in improving customer service.

The initial idea was communicated to the software development team, who supported the initiative and were assigned to work on the project. They began integrating the chatbot into the existing system and set an objective regarding the chatbot, which was to answer 85% of all chat queries.

After successfully integrating the chatbot, the company released it for customer use. However, the chatbot exhibited several issues. Due to insufficient testing and a lack of sample data provided during the training phase — when it was supposed to learn the query pattern — the chatbot failed to effectively address user queries. Additionally, it sent random files to users when it encountered invalid inputs, such as unusual patterns of dots and special characters.

Consequently, the chatbot could not effectively answer customer queries, overwhelming traditional customer support and preventing them from assisting customers with their requests.

Recognizing the potential risks, Fintive decided to implement a set of new controls. The measures included enabling comprehensive audit logging, configuring automated alert systems to flag unusual activities, performing periodic access reviews, and monitoring system behavior for anomalies. The objective was to identify unauthorized access, errors, or suspicious activities in a timely manner, ensuring that any potential issues could be quickly recognized and investigated before causing significant harm.

Question

According to Scenario 1, which of the following could be a potential impact of the chatbot issues?

Options:

Temporary slowdown in internal system updates with no effect on users

A breach of customer privacy due to the potential exposure of sensitive files

Minor delays in customer service response times due to the chatbot malfunction

Answer:

Explanation:

From Exact Extract:

1. Identification of potential impact

The scenario clearly states that the chatbot:

Sent random files to users

Encountered invalid inputs

Processed personally identifiable information (PII)

Operated in a live customer-facing environment

Sending random files to users represents a direct risk of unauthorized disclosure of information, which could include:

Customer records

Sensitive operational data

Personally identifiable information (PII)

This constitutes a customer privacy breach, which is a serious information security impact.

2. ISO/IEC 27001:2022 – Impact on confidentiality

Under ISO/IEC 27001:2022, one of the core objectives of an ISMS is to protect confidentiality, especially where PII is involved.

Clause 6.1.2 (Information security risk assessment) requires organizations to identify risks related to loss of confidentiality.

Clause 6.1.3 (Information security risk treatment) requires controls to be implemented where such risks exist.

A system that distributes random files creates a high-impact confidentiality risk.

3. ISO/IEC 27002:2022 – Privacy and PII protection

This scenario directly impacts Annex A control A.5.34 – Privacy and protection of PII, which requires organizations to:

Protect personal data against unauthorized access, disclosure, or misuse.

The chatbot’s behaviour violates the intent of this control and demonstrates a clear privacy impact.

4. Why the other options are incorrect

A. Temporary slowdown in internal system updatesThis is not supported by the scenario. There is no reference to internal system updates being affected.

C. Minor delays in customer service response timesWhile customer support was overwhelmed, the scenario describes a much more severe impact — uncontrolled file transmission and potential data exposure. This understates the risk.

Auditor Conclusion

The most significant and realistic impact arising from the chatbot issues is a breach of customer privacy due to the potential exposure of sensitive files. This aligns with ISO/IEC 27001’s focus on protecting confidentiality and PII.

Question 3

Scenario 1: Fintive is a distinguished security provider for online payments and protection solutions. Founded in 1999 by Thomas Fin in San Jose, California, Fintive

offers services to companies that operate online and want to improve their information security, prevent fraud, and protect user information such as PII. Fintive centers

its decision-making and operating process based on previous cases. They gather customer data, classify them depending on the case, and analyze them. The company

needed a large number of employees to be able to conduct such complex analyses. After some years, however, the technology that assists in conducting such analyses

advanced as well. Now, Fintive is planning on using a modern tool, a chatbot, to achieve pattern analyses toward preventing fraud in real-time. This tool would also be

used to assist in improving customer service.

This initial idea was communicated to the software development team, who supported it and were assigned to work on this project. They began integrating the chatbot

on their existing system. In addition, the team set an objective regarding the chatbot which was to answer 85% of all chat queries.

After the successful integration of the chatbot, the company immediately released it to their customers for use. The chatbot, however, appeared to have some issues.

Due to insufficient testing and lack of samples provided to the chatbot during the training phase, in which it was supposed "to learn" the queries pattern, the chatbot

failed to address user queries and provide the right answers. Furthermore, the chatbot sent random files to users when it received invalid inputs such as odd patterns

of dots and special characters. Therefore, the chatbot was unable to properly answer customer queries and the traditional customer support was overwhelmed with

chat queries and thus was unable to help customers with their requests.

Consequently, Fintive established a software development policy. This policy specified that whether the software is developed in-house or outsourced, it will undergo a

black box testing prior to its implementation on operational systems.

According to scenario 1, the chatbot sent random files to users when it received invalid inputs. What impact might that lead to?

Options:

Inability to provide service

Loss of reputation

Leak of confidential information

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