CIPM Exam Dumps - Certified Information Privacy Manager (CIPM)

Crafting policies which ensure minimal data is collected is least likely to be achieved by implementing a Data Lifecycle Management (DLM) program, as it is more related to the data collection stage, not the data management stage. A DLM program focuses on how to handle the data after it has been collected, such as how to store, use, share, and dispose of it. The other options are more likely to be achieved by implementing a DLM program, as they help to optimize the data storage costs, comply with the data retention obligations, and protect the data confidentiality. References: CIPM Body of Knowledge, Domain III: Privacy Program Management Activities, Task 1: Manage data inventory.

The CIPM Operational Lifecycle requires that assessments begin with an understanding of what data exists and how it is classified. Reviewing the data inventory is the foundational step in any privacy audit because it establishes the scope of personal data, processing purposes, and system ownership. Without an accurate inventory, efforts to map cross-border transfers or identify processing locations will be incomplete or inaccurate.

While mapping data flows and locations (Option A) is critical, it must be informed by a validated inventory. Encryption and cloud provider reviews are protective controls and vendor management activities that occur later in the lifecycle. CIPM stresses that privacy audits should follow a structured approach: inventory → mapping → risk evaluation → controls. Starting with the data inventory ensures the audit is comprehensive, repeatable, and aligned with accountability obligations under global privacy laws.

 All of the changes listed will likely trigger a data inventory update except for the passage of a new privacy regulation. A data inventory is a record of all personal data that an organization collects, processes, stores, shares, or disposes of. A data inventory helps an organization understand what types of personal data it holds, where it comes from, where it goes, and how it is protected. A data inventory should be updated regularly to reflect any changes in the organization’s data processing activities or practices. Some examples of changes that would trigger a data inventory update are outsourcing a business function, acquiring a new subsidiary, or onboarding a new vendor. These changes may involve new sources or destinations of personal data, new purposes or categories of processing, new security measures or risks, or new contractual agreements or obligations. The passage of a new privacy regulation may not trigger a data inventory update unless it affects the organization’s existing data processing activities or practices. However, it may trigger a compliance assessment or gap analysis to determine if the organization needs to make any adjustments to its privacy program or policies to meet the new legal requirements. References: Data Inventory Hub; Data Inventory: What It Is & How To Create One

When a data breach incident has occurred, the first priority is to determine how to contain the breach. Containment means stopping or minimizing the further loss or unauthorized disclosure of personal data, as well as preserving evidence for investigation and remediation. Containment may involve isolating affected systems, devices, or networks; changing access credentials; blocking malicious IP addresses; or notifying relevant parties such as law enforcement or security experts. After containing the breach, the next steps are to assess the impact and severity of the breach, notify the affected individuals and authorities if required, evaluate the causes and risks of the breach, and implement measures to prevent future breaches1, 2. References: CIPM - International Association of Privacy Professionals, Free CIPM Study Guide - International Association of Privacy Professionals

In the CIPM Operational Lifecycle, the Assess phase requires organizations to identify legal, regulatory, and privacy risks before adopting new technologies. AI tools used in recruitment present heightened risks related to automated decision-making, bias, transparency, and lawful processing. Therefore, evaluating compliance with applicable privacy and AI regulations must occur before notices, vendor selection, or contracts. This ensures risks are understood and mitigated at the earliest stage.

The PCI DSS framework does not require implementing strong asset control protocols. Asset control protocols are policies and procedures that govern how an organization manages its physical and digital assets, such as inventory, equipment, software, data, etc. Asset control protocols may include aspects such as identification, classification, valuation, tracking, maintenance, disposal, etc. Asset control protocols are important for ensuring the security and integrity of an organization’s assets, but they are not part of the PCI DSS framework.

The results from a previous information audit can be leveraged in a PIA process. An information audit is a systematic review of the personal data that an organization holds, such as its sources, purposes, locations, flows, and retention periods. An information audit can provide valuable input for a PIA, as it can help identify the types and categories of personal data that will be involved in the project, as well as the potential risks and impacts associated with them. References: IAPP CIPM Study Guide, page 27.