Free CDPSE Practice Quiz

How should the chief privacy officer of an international enterprise BEST balance the requirements of the enterprise’s privacy standards with local regulations?

1. Prioritize organizational standards over local regulations.

   Organizational standards should take into consideration all applicable laws and regulations and would not supersede local regulations.

2. Conduct awareness training regarding conflicts between the standards and local regulations.

   Making an organization aware of standards is a sensible step but is not a complete solution to ensuring compliance.

3. Prioritize local regulations over organizational standards.

   While local regulations should be considered, it is also important to follow organizational standards.

4. Create a local version of the organizational standards.

   Creating a local version of the organizational standards is the most effective compromise in this situation.

When outsourcing business processes, enterprise should maintain proper oversight procedures of the contracted organization's privacy practices PRIMARILY because:

1. The contracting enterprise is accountable and liable for the legal and regulatory privacy requirements of the data.

   Even when outsourcing, the contracting enterprise is still responsible and liable for the legal and regulatory requirements of the data. Therefore, the contracting enterprise must maintain proper oversight over the service provider’s privacy practices.

2. The enterprise should monitor the financial condition of the service provider and determine if there is a going concern

   Overseeing the financial condition of the service provider is very important; however, it does not help the enterprise oversee the service provider’s privacy practices.

3. the service providers are accountable for the regulatory privacy requirements of the data.

   The service provider is contractually responsible for the execution of privacy and protection requirements defined and documented in the service agreement. However, the accountability of the legal and regulatory privacy requirements, remains with the contracting party

4. the insurance requirements should be maintained by the service provider as agreed in the contract.

   It is important to ensure the service provider maintains proper insurance coverage as agreed in the contract; however, it does not help the contracting organization to oversee the service provider’s privacy practices

Who is accountable for establishing the privacy risk and harm tolerance levels?

1. Chief privacy officer

   The chief privacy officer (CPO) may be a member of the enterprise risk management (ERM) committee to provide the committee with advice on specific privacy risk and privacy harms. However, on their own, the CPO would not be accountable for establishing the tolerance levels..

2. Enterprise risk management committee

   The ERM committee is accountable for establishing enterprise privacy risk and privacy harms tolerance levels.

3. Privacy steering committee

   The privacy steering committee is accountable for the review and approval of the privacy management policies and procedures. The ERM committee is accountable for establishing enterprise privacy risk and privacy harms tolerance levels.

4. Chief risk officer

   The chief risk officer provides specialist input when relevant and can be asked to join the ERM committee on occasion or as a permanent member. The ERM committee is accountable for establishing enterprise privacy risk and privacy harms tolerance levels

What would be the BEST reason to include log generation in the design of a system from a privacy perspective?

1. Allow to save the evidence of all operations carried out with the system.

   Although it is possible to track the activities carried out within a system, this is not one of the main reasons to include logging and monitoring in the design of a system related to privacy.

2. Facilitate early detection of abuse or misuse of the data that a system processes.

   Logs and monitoring allows for the early detection of abuse or misuse of the data processed by a system, facilitating the organization to take timely actions.

3. Facilitate the recovery of information in case of system damage.

   Although it is possible to retrieve the information of a system from a log, this is not one of the main reasons to use logs from a privacy point of view.

4. Investigate fraud after it has occurred.

   Logs allow traceability of a fraud carried out with a system, but this is not the main reason for the use of logs from a privacy perspective.

Which of the following would be classified as the first line of defense from the information security and privacy perspective?

1. Control of changes to applications.

   The control of changes to the applications is carried out after the access permissions to the system have been verified, therefore it would not be the first line of defense.

2. Validation of data when entering an application.

   Data validation is a control after entering the system; therefore, it would not be the first line of defense.

3. Identification and authentication of users.

   Identification and authentication is the first line of defense because it prevents unauthorized access to a computer system or information assets.

4. Making back-up copies.

   Taking back-up copies is one of the last controls exercised to protect information, therefore it would not be the first line of defense.

Which stage should the information and data compliance teams be engaged in order to maximize their contributions to the secure development life cycle?

1. Requirements gathering

   In order to ensure that security and privacy requirements are gathered and implemented into system architecture, the information and data compliance teams should be engaged in the initial stage of the secure development life cycle to maximize their contributions

2. Design and coding

   Privacy requirements are considered at the design and coding phase, but they need to be properly gathered before they can be fully integrated.

3. Security testing

   Privacy requirements need to be gathered before an architecture or product is built. Understanding privacy requirements while a product is being tested may result in significant redesign or requirements being missed and is too late in the process to maximize the impact

4. Application release

   Waiting until release to understand privacy and security requirements would be costlyand ineffective

An attacker was able to retrieve data from a test and development environment that contained end user information. Which of the following hardening techniques would BEST prevent this attack from turning into a major privacy breach?

1. Data obfuscation

   Personal and commercial data is usually obfuscated while its used in internal test cycles. This would minimize the data exposed in an attack and best prevent it from turning into a major privacy breach.

2. Data classification

   Data classification enables the determination of the sensitivity and criticality of data assets, which would not have helped prevent the attacker from retrieving this information.

3. Data dictionary

   A data dictionary is a data inventory at the application level and is not a hardening technique that could have prevented this attack.

4. Data normalization

   Data normalization organizes data into tables in such a way that it preserves the relationships among the data. It is not a hardening technique that could have prevented this attack.

Which of the following BEST describes transformation rules used in data warehousing? Transformation rules are:

1. Complex for the staging layer but minimal for the presentation layer.

   The transformation rules may be neither complex for staging layer nor minimal for presentation layer, because the staging layer deals with data as input, whereas the presentation layer deals with data as output.

2. Minimal for the staging layer but more complex for the presentation layer.

   In staging layer, it is important for the data to be as-is. In the presentation layer, the data need to conform to the to-be design, which is highly refined and organized to optimize downstream user efficiency and effectiveness. Accordingly, the transformation rules are minimal for the staging layer while they are more complex for the presentation layer.

3. Minimal for both the staging layer and presentation layer.

   The transformation rules are typically minimal for the staging layer but not for the presentation layer as the presentation layer requires more complex rules to conform to the to-be design to prepare it for the destination target.

4. Complex for both the staging layer and presentation layer.

   The transformation rules are typically complex for the presentation layer but not for the staging layer as its purpose is to mirror the data in the source system.

What is one of the GREATEST concerns for the privacy professional when using data analytics in an enterprise

1. Ensure that all questions asked by the business can be answered.

   While a data analyst will want to ensure that the questions asked by the business, especially related to the market and competition can be answered by the data, this is not the greatest concern for the privacy.

2. Ensure the protection of customer information that is collected.

   Because the information that is generally queried through analytics is related to customers, the privacy of this information is always the main concern. The enterprise could experience a significant negative impact if there was a breach of this information.

3. Ensure that the data mart contains client’s historical information.

   That the data mart contains historical information from the clients would be a concern depending on the information that should be reviewed, but this would not be as big of a concern as ensuring the privacy of the information.

4. Ensure that tools are available to make inquiries to the data warehouse.

   Tools would greatly help data analysts with their job, but it is not concern for the privacy professional

What requirements would be BEST to include in a service level agreement when data is regularly moved outside of the enterprise as part of its life cycle?

1. Data persistence requirements

   Data persistence requirements are established when the information is collected, but they no longer apply when moving information out of the enterprise.

2. Data modeling requirements

   Data modeling requirements are established when the data structure is created, but they no longer apply when moving information outside the enterprise.

3. Data minimization requirements

   Data minimization requirements are established when data are collected, but they no longer apply when moving information outside the company.

4. Quality and privacy requirements

   When data must be moved outside the enterprise on an ongoing basis, it is necessary to establish quality and privacy requirements to ensure the protection of the information while it is in the hands of the third party. This information must be documented in a service level agreement.