IAPP CIPM Dumps Questions Answers

 The information technology (IT) group supporting and enhancing the privacy program and privacy policy by developing processes and controls best supports implementing controls to bring privacy policies into effect. Privacy policies are documents that define the organization’s principles, commitments, and practices for collecting, using, disclosing, retaining, and protecting personal information. Privacy policies need to be translated into operational processes and controls that ensure compliance with the policy objectives and requirements. The IT group can support and enhance the privacy program and privacy policy by developing processes and controls such as: data classification, data inventory, data mapping, data minimization, consent management, access control, encryption, pseudonymization, anonymization, security safeguards, breach detection and response, data subject rights fulfillment, data retention and disposal, audit logging and monitoring, privacy by design and default, privacy impact assessments, privacy notices and statements, privacy training and awareness.

References:

• CIPM Body of Knowledge (2021), Domain II: Privacy Program Framework, Section A: Privacy Program Framework Components Subsection 1: Privacy Policies
• CIPM Study Guide (2021), Chapter 4: Privacy Program Framework Components Section 4.1: Privacy Policies
• CIPM Textbook (2019), Chapter 4: Privacy Program Framework Components Section 4.1: Privacy Policies
• CIPM Practice Exam (2021), Question 148

A Privacy Impact Assessment (PIA) is a process that helps an organization identify and evaluate the potential privacy risks and impacts of a new or existing project, program, system, or service that involves the collection, use, disclosure, or retention of personal information. A PIA also helps an organization identify and implement appropriate measures to mitigate or eliminate those risks and impacts, and ensure compliance with applicable privacy laws, regulations, and standards. A PIA should be completed to effectively make changes that involve customer personal information, such as converting paper records into electronic form, uploading the records into a new third-party marketing tool, and merging the customer personal information in the marketing tool with information from other applications. A PIA can help an organization assess the necessity, proportionality, and legality of the proposed changes, as well as the potential privacy risks to the customers and the organization, such as unauthorized access, disclosure, modification, or loss of personal information, identity theft, fraud, reputational damage, or legal liability. A PIA can also help an organization implement appropriate measures to mitigate or eliminate those risks, such as data minimization, encryption, anonymization, pseudonymization, consent management, access control, security safeguards, contractual clauses, data protection impact assessments (DPIAs), data subject rights, breach notification procedures, and privacy policies.

References:

• CIPM Body of Knowledge (2021), Domain IV: Privacy Program Operational Life Cycle, Section C: Monitoring and Managing Program Performance Subsection 1: Privacy Impact Assessments1
• CIPM Study Guide (2021), Chapter 9: Monitoring and Managing Program Performance Section 9.1: Privacy Impact Assessments2
• CIPM Textbook (2019), Chapter 9: Monitoring and Managing Program Performance Section 9.1: Privacy Impact Assessments3
• CIPM Practice Exam (2021), Question 1464

If the company ends up allowing departments to interpret the privacy policy differently, they should follow the Data Lifecycle Management (DLM) principle of adequately documenting reasons for inconsistencies. This principle requires that data should be accurate, complete, and consistent throughout its lifecycle and that any deviations or discrepancies should be justified and recorded1 This would help the company to maintain data quality and integrity, as well as to demonstrate accountability and compliance with data protection regulations2

The other options are not DLM principles that the company should follow if they allow departments to interpret the privacy policy differently. Proving the authenticity of the company’s records is a principle related to data preservation and archiving, not data interpretation3 Arranging for official credentials for staff members is a principle related to data access and security, not data interpretation4 Creating categories to reflect degrees of data importance is a principle related to data classification and retention, not data interpretation5 References: 1: Data Lifecycle Management: A Complete Guide | Splunk; 2: Data Lifecycle Management | IBM; 3: Data Preservation | Digital Preservation Handbook; 4: Data Access Management Best Practices | Smartsheet; 5: Data Classification: What It Is And How To Do It | Varonis