CDPSE Practice Test 2 — 30 Questions

Question 1

When using IBM InfoSphere Information Governance Catalog to map sensitive data, what is the primary purpose of a 'Data Class'?

Accepted Answer

To identify and classify sensitive data patterns. Data classes define the structure of data (e.g., Credit Card Number) to allow automated identification in the catalog.

Answer

To store physical data

Answer

To manage retention policies

Answer

To define user access

Question 2

Which THREE tasks are associated with 'Data Classification' during the life cycle?

Accepted Answer

Identifying sensitive data elements. Identifying data, assigning a label, and applying specific policy rules are the steps in classification.

Answer

Refreshing the server hardware

Answer

Backing up the database

Question 3

When designing a system with k-anonymity, which metric measures the impact of generalization on the utility of the data?

Accepted Answer

Discernibility penalty. Discernibility penalty measures how much the data has been degraded to achieve the k-anonymity requirement.

Answer

Epsilon value

Answer

Entropy loss

Answer

F-score

Question 4

Which TWO outcomes result from effective data classification?

Accepted Answer

Improved application of security controls. Classification enables targeted security controls and informs retention requirements.

Answer

Increased server processing speed

Answer

Reduction in data volume

Answer

Improved user interface design

Question 5

Which THREE components should be included in a data inventory to ensure it is actionable for DSR (Data Subject Request) fulfillment?

Accepted Answer

Storage location. To fulfill a DSR, you must know what the data is, who owns it, and where it resides.

Answer

Server uptime percentage

Answer

Network bandwidth usage

Question 6

A CDPSE is reviewing a vendor's privacy controls. Which finding would be considered a major non-compliance risk?

Accepted Answer

The vendor lacks a documented process for handling data subject erasure requests.. Failure to provide a data subject right to erasure is a critical violation of privacy regulations.

Answer

The vendor uses a different database encryption algorithm than the organization.

Answer

The vendor's privacy policy is not written in the user's native language.

Answer

The vendor only updates their privacy policy once every two years.

Question 7

Which THREE documents are typically required for compliance with global privacy regulations?

Accepted Answer

Data Processing Agreements (DPAs) with third-party vendors.. A privacy notice, ROPA, and data processing agreements are standard compliance artifacts.

Answer

A daily log of all staff internet activity.

Answer

A list of all company-issued laptops.

Question 8

A practitioner is deploying a Google Cloud Storage bucket. To ensure that files containing PII are automatically redacted before being accessed by external users, which Cloud DLP action should be integrated?

Accepted Answer

Cloud DLP de-identification template. Cloud DLP (Data Loss Prevention) triggers can be integrated to inspect and redact content in Cloud Storage.

Answer

IAM conditions

Answer

Storage Transfer Service

Answer

Bucket lock

Question 9

When using Homomorphic Encryption, what is the primary limitation for a privacy engineer to consider?

Accepted Answer

Computational overhead. Homomorphic encryption is extremely computationally intensive, often causing significant performance degradation.

Answer

Data loss during processing

Answer

Inability to perform search

Answer

Lack of vendor support

Question 10

You are integrating a homomorphic encryption library into a cloud-based financial system. What is the primary trade-off you must communicate to stakeholders regarding the implementation of Fully Homomorphic Encryption (FHE)?

Accepted Answer

Significant latency during computation. FHE is computationally expensive, leading to significant latency increases for complex analytical operations on encrypted data.

Answer

Incompatibility with cloud storage

Answer

Increased storage requirements

Answer

Loss of data integrity

Question 11

When managing data retention in Azure Data Lake Storage (ADLS) Gen2, how do you implement a policy that deletes files older than 7 years?

Accepted Answer

Configure a Lifecycle Management policy rule. Lifecycle management policies in ADLS allow you to define rules to delete blobs based on the number of days since last modification.

Answer

Apply a Data Loss Prevention policy

Answer

Create a Power Automate flow to scan the lake

Answer

Use Azure Data Factory to trigger a DELETE SQL query

Answer

Set the 'Delete' flag on the container

Question 12

Which document should a CDPSE review to understand the organization's legal basis for processing employee personal data?

Accepted Answer

The Record of Processing Activities (ROPA).. The Privacy Notice or the internal Record of Processing Activities (ROPA) outlines the legal basis for processing.

Answer

The vendor management list.

Answer

The firewall configuration log.

Answer

The employee handbook.

Question 13

When establishing a privacy steering committee, who should be included to ensure organizational support?

Accepted Answer

Senior representatives from Legal, IT, HR, and Marketing.. Executive sponsorship from cross-functional leadership is vital for authority.

Answer

Only the Human Resources team.

Answer

External consultants only.

Answer

Only the IT staff.

Question 14

In a Google Cloud environment, you need to implement a policy to automatically redact PII from documents uploaded to Cloud Storage. Which service should be integrated?

Accepted Answer

Cloud Data Loss Prevention (DLP) API. Cloud Data Loss Prevention (DLP) API allows for the inspection, de-identification, and redaction of PII within unstructured data.

Answer

Cloud Storage buckets lifecycle policy

Answer

Cloud Identity and Access Management

Answer

Cloud Logging

Question 15

You are designing a system for k-anonymity. If a dataset has an identifier that is unique to every row, what is the first step you must take before applying generalization?

Accepted Answer

Apply suppression to direct identifiers. Quasi-identifiers must be identified, and direct identifiers must be suppressed or removed, as k-anonymity does not protect against direct identification.

Answer

Add synthetic noise

Answer

Normalize the dataset

Answer

Increase the k-value

Question 16

Which TWO of the following are key privacy engineering objectives when designing a system that processes sensitive health data?

Accepted Answer

Data minimization. Data minimization and transparency are fundamental to privacy engineering for sensitive data.

Answer

Hardware cost reduction

Answer

Maximum system availability

Answer

High performance throughput

Question 17

A privacy engineer is reviewing a 'consent management platform' (CMP). Which configuration is necessary to ensure compliance with a user's choice to 'opt-out' of data sharing?

Accepted Answer

Programmatic propagation of the opt-out signal. The CMP must broadcast the opt-out signal to all downstream ad-tech and analytics providers via a standardized framework like GPP or TCF.

Answer

Sending an email confirmation to the user

Answer

Storing the choice in a local browser cookie only

Answer

Displaying the privacy policy on the landing page

Question 18

When classifying data for privacy, what does a 'Restricted' label usually signify?

Accepted Answer

Data requiring limited access and enhanced protection. Restricted data is highly sensitive and requires strict access controls and specific handling to prevent unauthorized access.

Answer

Data that can be shared publicly

Answer

Data that has no retention period

Answer

Data that is no longer needed

Question 19

A privacy engineer is configuring Azure Data Factory to ensure PII is masked during integration. Which feature should be configured to apply dynamic data masking on SQL targets?

Accepted Answer

SQL Dynamic Data Masking policies. Dynamic Data Masking (DDM) in Azure SQL Database allows masking sensitive data, which can be enforced via integration pipelines.

Answer

Azure Policy definition

Answer

Data Factory Mapping Data Flows

Answer

Azure Key Vault access policies

Question 20

Which THREE techniques effectively protect data during the 'use' phase of the life cycle?

Accepted Answer

Pseudonymization. Encryption, masking, and pseudonymization are standard techniques for protecting data during active processing.

Answer

Data replication

Answer

Data compression