The best way to validate that privacy practices align to the published enterprise privacy management program is to conduct an audit. An audit is an independent and objective examination of evidence to provide assurance that privacy practices are effective and compliant with the enterprise privacy management program. An audit can also identify any gaps or weaknesses in the privacy practices and provide recommendations for improvement. An audit can be conducted internally or externally, depending on the scope, objectives, and standards of the audit. Reference: : CDPSE Review Manual (Digital Version), page 83

Reviewing proposed privacy rules that govern the processing of personal data is the most useful action to help define the scope of the project because it helps identify the legal and regulatory requirements, the data protection principles and the privacy objectives that the information security controls need to support. Reviewing recent audit reports, identifying databases that contain personal data or do not have encryption in place are helpful actions to assess the current state of privacy and security, but they do not provide a clear direction for the project scope.
Reference:
CDPSE Review Manual (Digital Version), Domain 2: Privacy Architecture, Task 2.1: Identify and/or define privacy requirements1 CDPSE Certified Data Privacy Solutions Engineer All-in-One Exam Guide, Chapter 3: Privacy Architecture, Section: Privacy Requirements2

Data classification is the process of categorizing data according to its sensitivity, value, and criticality for the organization and the data subjects. Data classification has the greatest impact on the treatment of data within the scope of an organization's privacy policy, as it determines the appropriate level of protection, access, retention, and disposal for each type of dat a. Data classification also helps to comply with the privacy principles and regulations, such as data minimization, purpose limitation, accuracy, security, and accountability.

The most important information to capture in the audit log of an application hosting personal data is the last user who accessed personal dat a. This is because the audit log is a record of the activities and events that occur within the application, such as user actions, system events, errors, or exceptions. The audit log helps to monitor and verify the compliance, security, and performance of the application, as well as to detect and investigate any incidents or anomalies. Capturing the last user who accessed personal data in the audit log helps to ensure the accountability and traceability of the data access, as well as to identify and prevent any unauthorized or inappropriate use, disclosure, or modification of personal data.

The first step when performing a data quality assessment is to assess the completeness of the data inventory, which is a comprehensive list of all data assets within the organization. This will help identify the scope, sources, owners, and characteristics of the data to be assessed. The other options are possible actions that may be taken after the data inventory is complete, depending on the objectives and criteria of the assessment.
Reference:
CDPSE Exam Content Outline, Domain 3 - Data Lifecycle (Data Quality), Task 1: Perform a data quality assessment1.
CDPSE Review Manual, Chapter 3 - Data Lifecycle, Section 3.2 - Data Quality2.