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ISACA Certified Data Privacy Solutions Engineer Sample Questions (Q40-Q45):
NEW QUESTION # 40
When using anonymization techniques to prevent unauthorized access to personal data, which of the following is the MOST important consideration to ensure the data is adequately protected?
- A. The data must be stored in locations protected by data loss prevention (DLP) technology.
- B. The data must be protected by multi-factor authentication.
- C. The key must be a combination of alpha and numeric characters.
- D. The key must be kept separate and distinct from the data it protects.
Answer: A
NEW QUESTION # 41
Which of the following is the BEST course of action to prevent false positives from data loss prevention (DLP) tools?
- A. Re-establish baselines tor configuration rules
- B. Conduct additional discovery scans.
- C. Suppress the alerts generating the false positives.
- D. Evaluate new data loss prevention (DLP) tools.
Answer: A
Explanation:
Explanation
The best course of action to prevent false positives from data loss prevention (DLP) tools is to re-establish baselines for configuration rules. False positives are events that are triggered by a DLP policy in error, meaning that the policy has mistakenly identified non-sensitive data as sensitive or blocked legitimate actions.
False positives can reduce the effectiveness and efficiency of DLP tools by generating unnecessary alerts, wasting resources, disrupting workflows, and creating user frustration. To avoid false positives, DLP tools need to have accurate and updated configuration rules that define what constitutes sensitive data and what actions are allowed or prohibited. Configuration rules should be based on clear and consistent criteria, such as data classification levels, data sources, data destinations, data formats, data patterns, user roles, user behaviors, etc. Configuration rules should also be regularly reviewed and adjusted to reflect changes in business needs, regulatory requirements, or threat landscape.
Conducting additional discovery scans, suppressing the alerts generating the false positives, or evaluating new DLP tools are not the best ways to prevent false positives from DLP tools. Conducting additional discovery scans may help identify more sensitive data in the network, but it does not address the root cause of false positives, which is the misconfiguration of DLP policies. Suppressing the alerts generating the false positives may reduce the noise and annoyance caused by false positives, but it does not solve the problem of inaccurate or outdated DLP policies. Evaluating new DLP tools may offer some advantages in terms of features or performance, but it does not guarantee that false positives will be eliminated or reduced without proper configuration and tuning of DLP policies.
References: False Positives Handling| Endpoint Data Loss Prevention - ManageEngine ..., Scenario-based troubleshooting guide - DLP Issues, Respond to a DLP policy violation in Power BI - Power BI
NEW QUESTION # 42
The BEST way for a multinational organization to ensure the comprehensiveness of its data privacy policy is to perform an annual review of changes to privacy regulations in.
- A. the region where the business IS incorporated.
- B. all countries with privacy regulations.
- C. all jurisdictions where corporate data is processed.
- D. all data sectors in which the business operates
Answer: C
Explanation:
Explanation
A multinational organization that operates across different countries and regions should perform an annual review of changes to privacy regulations in all jurisdictions where its corporate data is processed. This is because different jurisdictions may have different privacy laws and requirements that apply to the collection, use, storage, transfer, and disposal of personal data. For example, the EU General Data Protection Regulation (GDPR) applies to any organization that processes personal data of individuals in the EU, regardless of where the organization is located or where the data is processed. Therefore, the organization should keep track of the changes to privacy regulations in all relevant jurisdictions and update its data privacy policy accordingly to ensure compliance and avoid penalties or lawsuits.
NEW QUESTION # 43
Which of the following is the BEST way to protect personal data in the custody of a third party?
- A. Require the third party to provide periodic documentation of its privacy management program.
- B. Include requirements to comply with the organization's privacy policies in the contract.
- C. Add privacy-related controls to the vendor audit plan.
- D. Have corporate counsel monitor privacy compliance.
Answer: B
Explanation:
In GDPR parlance, organizations that use third-party service providers are often, but not always, considered data controllers, which are entities that determine the purposes and means of the processing of personal data, which can include directing third parties to process personal data on their behalf. The third parties that process data for data controllers are known as data processors.
The best way to protect personal data in the custody of a third party is to include requirements to comply with the organization's privacy policies in the contract. This means that the organization should specify the terms and conditions of data processing, such as the purpose, scope, duration, and security measures, and ensure that they are consistent with the organization's privacy policies and applicable privacy regulations. The contract should also define the roles and responsibilities of both parties, such as data controller and data processor, and establish mechanisms for monitoring, reporting, auditing, and resolving any issues or incidents related to data privacy. Reference: : CDPSE Review Manual (Digital Version), page 41
NEW QUESTION # 44
Which of the following helps define data retention time in a stream-fed data lake that includes personal data?
- A. Data privacy standards
- B. Privacy impact assessments (PIAs)
- C. Data lake configuration
- D. Information security assessments
Answer: A
Explanation:
Data privacy standards are the set of rules, guidelines, and best practices that define the requirements and expectations for the collection, processing, storage, sharing, and disposal of personal dat a. Data privacy standards help to ensure that personal data is treated in a fair, lawful, transparent, and secure manner, as well as to comply with the applicable privacy laws and regulations. Data privacy standards also help to define the data retention time in a stream-fed data lake that includes personal data, as they specify the criteria and conditions for how long personal data can be kept in the data lake, based on factors such as the purpose, necessity, relevance, and quality of the data. Data retention time is an important aspect of data privacy, as it affects the risk of data breaches, unauthorized access, or misuse of personal data.
NEW QUESTION # 45
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