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| Section | Weight | Objectives |
|---|---|---|
| IT Risk Assessment | 22% | - Risk assessment methodologies and tools
|
| Governance | 26% | - Organizational risk governance framework
|
| Technology and Security | 20% | - Infrastructure and application security
|
| Risk Response and Reporting | 32% | - Risk response strategies
|
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The validation of expertise, more career opportunities, salary enhancement, instant promotion, and membership of ISACA certified professional community. In this way, the Certified in Risk and Information Systems Control (CRISC) can not only validate their skills and knowledge level but also put their careers on the right track. By doing this you can achieve your career objectives.
NEW QUESTION # 371
Which of the following would MOST effectively reduce risk associated with an increase of online
transactions on a retailer website?
Answer: A
Explanation:
The most effective way to reduce risk associated with an increase of online transactions on a retailer website
is to implement website activity monitoring. Website activity monitoring can help to detect and prevent
fraudulent transactions, unauthorized access, data breaches, and other cyber threats that may compromise the
security and integrity of the website and its data. Scalable infrastructure, a hot backup site, and transaction
limits are other possible ways to reduce risk, but they are not as effective as website activity
monitoring. References = ISACA Certified in Risk and Information Systems Control (CRISC) Certification
Exam Question and Answers, question 7; CRISC Review Manual, 6th Edition, page 202.
NEW QUESTION # 372
Which of the following is MOST critical to the design of relevant risk scenarios?
Answer: D
Explanation:
Risk scenarios are hypothetical situations that describe potential events or actions that could affect the
achievement of enterprise objectives. The design of relevant risk scenarios should consider the following
factors: the risk appetite and tolerance of the enterprise, the key risk indicators and risk drivers, the potential
impact and likelihood of the scenarios, and the alignment with the risk management capabilities of the
enterprise. The scenarios should be realistic, plausible, and consistent with the enterprise's context and
objectives. The scenarios should also be reviewed and updated periodically to reflect changes in the internal
and external environment. The alignment with the risk management capabilities is the most critical factor, as
it ensures that the scenarios are relevant for the decision making and risk response processes of the
enterprise. References = Risk and Information Systems Control Study Manual, 7th Edition, Chapter 2, Section
2.3.3.2, pp. 67-69.
NEW QUESTION # 373
In an organization dependent on data analytics to drive decision-making, which of the following would BEST
help to minimize the risk associated with inaccurate data?
Answer: A
Explanation:
Periodically reviewing big data strategies is the best option to minimize the risk of inaccurate data, because it
allows the organization to assess the quality, validity, and reliability of the data sources and the analytics
methods. It also enables the organization to identify and address any gaps, errors, or inconsistencies in the
data and the results. By reviewing the big data strategies, the organization can ensure that the data analytics
are aligned with the business objectives and the risk appetite.
Establishing an intellectual property agreement is not relevant to the risk of inaccurate data, as it is a legal
measure to protect the ownership and use of the data, not its quality or accuracy.
Evaluating each of the data sources for vulnerabilities is a good practice, but it is not sufficient to minimize
the risk of inaccurate data, as it only focuses on the security aspect of the data, not the validity or reliability of
the data itself.
Benchmarking to industry best practice is a useful way to compare the performance and results of the data
analytics, but it does not directly address the risk of inaccurate data, as it assumes that the data and the
methods are already valid and reliable. References = Risk IT Framework, 2nd Edition, ISACA, 2019, page 62-
63.
NEW QUESTION # 374
Which of the following is MOST important to have in place to ensure the effectiveness of risk and security metrics reporting?
Answer: A
Explanation:
Section: Volume D
Explanation/Reference:
NEW QUESTION # 375
A risk practitioner recently discovered that sensitive data from the production environment is required for
testing purposes in non-production environments. Which of the following i the BEST recommendation to
address this situation?
Answer: B
Explanation:
Masking data before being transferred to the test environment is the best recommendation to address the
situation where sensitive data from the production environment is required for testing purposes in non-
production environments. Data masking is a technique that replaces sensitive data elements with realistic but
fictitious data, preserving the format, structure, and meaning of the original data. Data masking ensures that
the test data is sufficiently anonymized and de-identified, while still maintaining its functionality and validity
for testing purposes. Data masking also reduces the risk of data leakage, exposure, or breach in the test
environment, which may have lower security controls than the production environment. The other options are
not the best recommendations, as they do not adequately protect the sensitive data or meet the testing
requirements. Enabling data encryption in the test environment may protect the data from unauthorized
access, but it does not prevent the data from being decrypted by authorized users who may misuse or
mishandle it. Implementing equivalent security in the test environment may be costly, complex, or
impractical, and it may not be feasible to replicate the same level of security controls as in the production
environment. Preventing the use of production data for test purposes may not be possible or desirable, as
production data may be required to ensure the accuracy, reliability, and quality of the testing
results. References = P = NP: Cloud dataprotection in vulnerable non-production environments ...; Data
masking secures sensitive data in non-production environments ...; CRISC EXAM TOPIC 2 LONG
Flashcards | Quizlet
NEW QUESTION # 376
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