Important IAPP CIPT Exam Questions

Answer: C

Explanation:

In the context of an organization based in California, USA, considering the capture of personal data for best servicing customer calls, the most appropriate step before implementing the online helpdesk solution is to conduct a Legitimate Interest Assessment (LIA). This assessment ensures that the processing of personal data is necessary for the organization's legitimate interests and that it does not infringe upon the privacy, rights, and freedoms of individuals. An LIA helps to balance the company's interests with the privacy rights of the customers and includes an evaluation of necessity, proportionality, and safeguards. This aligns with privacy regulations and best practices as outlined in the IAPP's Information Privacy Technologist guidelines.

Answer: D

Explanation:

Step by Step Comprehensive Detailed Explanation with Reference:

Option A: Risk transfer involves shifting the risk to another party, such as through insurance. Simply informing customers does not transfer the risk.

Option B: Risk mitigation involves taking steps to reduce the severity or likelihood of the risk. Informing and obtaining consent does not mitigate the risk but acknowledges it.

Option C: Risk avoidance involves changing plans to entirely avoid the risk. Informing customers of the risk is not avoiding it but rather acknowledging it.

Option D: Risk acceptance involves recognizing the risk and deciding to proceed with it. By informing customers and obtaining their consent, the organization acknowledges the risk and accepts it as part of their operations.

IAPP CIPT Study Guide

Risk management frameworks and practices in privacy

Answer: B

Explanation:

Deep learning, a subset of machine learning, has enabled the greater implementation of machine learning by significantly enhancing the capabilities of neural networks. Here's how:

Neural Networks Expansion: Deep learning involves the use of large, complex neural networks that have many layers (hence the term 'deep'). These networks can model intricate patterns and representations in data.

Massive Data Processing: Deep learning algorithms require and utilize vast amounts of data to train these neural networks. The more data processed, the better the model can learn to generalize and perform accurately on new data.

Automatic Feature Extraction: Unlike traditional machine learning methods that often require manual feature extraction, deep learning algorithms can automatically learn and extract features from raw data. This eliminates the need for hand-coded classifiers and simplifies the process of implementing machine learning models.

Performance Improvements: The ability to process and learn from large datasets has led to breakthroughs in various fields such as image and speech recognition, natural language processing, and autonomous driving.

Answer: B

Explanation:

When a vendor collects data under an outdated contract that does not align with current organizational practices, the preferred response is to update the contract. This approach ensures that the vendor's data practices align with the current privacy standards and requirements of the organization, maintaining compliance and protecting data subjects. Terminating the contract or destroying the data may be extreme steps that could disrupt business operations or lead to data loss. Continuing the existing contract without any updates leaves the organization exposed to non-compliance risks.

Answer: D

Explanation:

Problem Identification: Recording patient data on a mobile phone's note-taking application poses a significant privacy risk.

Solution: Mobile Device Management (MDM) can enforce security policies, such as encryption, secure app installation, and remote wiping of data.

Benefits: MDM ensures that all devices comply with the organization's security standards, thereby protecting sensitive health information.

Reference: IAPP CIPT Study Guide, Section on Mobile Device Security and Management.