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The CIPT Certification Exam is an essential certification for individuals who want to specialize in privacy technology and data protection. Certified Information Privacy Technologist (CIPT) certification exam covers a wide range of topics related to privacy technology, laws, and regulations, and tests the individual's ability to apply that knowledge in real-world scenarios. Certified Information Privacy Technologist (CIPT) certification is a valuable credential for IT professionals, engineers, software developers, security professionals, and other individuals who work with technology and want to advance their careers in the field of privacy and data protection.
IAPP Certified Information Privacy Technologist (CIPT) Sample Questions (Q131-Q136):
NEW QUESTION # 131
In the realm of artificial intelligence, how has deep learning enabled greater implementation of machine learning?
- A. By using algorithmic approaches such as decision tree learning and inductive logic programming.
- B. By using hand-coded classifiers like edge detection filters so that a program can identify where an object starts and stops.
- C. By hand coding software routines with a specific set of instructions to accomplish a task.
- D. By increasing the size of neural networks and running massive amounts of data through the network to train it.
Answer: D
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.
NEW QUESTION # 132
Which is the most accurate type of biometrics?
- A. Facial recognition.
- B. Voiceprint.
- C. Fingerprint.
- D. DNA
Answer: B
NEW QUESTION # 133
Which of the following suggests the greatest degree of transparency?
- A. A privacy notice accommodates broadly defined future collections for new products.
- B. The data subject has multiple opportunities to opt-out after collection has occurred.
- C. A privacy disclosure statement clearly articulates general purposes for collection
- D. After reading the privacy notice, a data subject confidently infers how her information will be used.
Answer: D
Explanation:
The option that suggests the greatest degree of transparency is After reading the privacy notice, a data subject confidently infers how her information will be used. Transparency in data protection means that data subjects should have clear, concise, and understandable information about how their data is collected, used, and shared. The ability of the data subject to confidently infer the use of their information after reading the privacy notice indicates that the notice is clear and transparent, effectively communicating the data processing practices.
Reference:
GDPR, Article 12: Transparent information, communication, and modalities for the exercise of the rights of the data subject
"Privacy on the Ground: Driving Corporate Behavior" by Kenneth A. Bamberger and Deirdre K. Mulligan
NEW QUESTION # 134
Aadhaar is a unique-identity number of 12 digits issued to all Indian residents based on their biometric and demographic data. The data is collected by the Unique Identification Authority of India. The Aadhaar database contains the Aadhaar number, name, date of birth, gender and address of over 1 billion individuals.
Which of the following datasets derived from that data would be considered the most de-identified?
- A. A count of the day of birth and hash of the person's first initial of their first name.
- B. A count of the years of birth and hash of the person' s gender.
- C. A count of the month of birth and hash of the person's first name.
- D. Account of the century of birth and hash of the last 3 digits of the person's Aadhaar number.
Answer: A
NEW QUESTION # 135
SCENARIO
Please use the following to answer next question:
EnsureClaim is developing a mobile app platform for managing data used for assessing car accident insurance claims. Individuals use the app to take pictures at the crash site, eliminating the need for a built-in vehicle camera. EnsureClaim uses a third-party hosting provider to store data collected by the app. EnsureClaim customer service employees also receive and review app data before sharing with insurance claim adjusters.
The app collects the following information:
First and last name
Date of birth (DOB)
Mailing address
Email address
Car VIN number
Car model
License plate
Insurance card number
Photo
Vehicle diagnostics
Geolocation
What would be the best way to supervise the third-party systems the EnsureClaim App will share data with?
- A. Review the privacy notices for each third-party that the app will share personal data with to determine adequate privacy and data protection controls are in place.
- B. Conduct a security and privacy review before onboarding new vendors that collect personal data from the app.
- C. Develop policies and procedures that outline how data is shared with third-party apps.
- D. Anonymize all personal data collected by the app before sharing any data with third-parties.
Answer: B
Explanation:
The best way to supervise third-party systems that the EnsureClaim App will share data with is to conduct a comprehensive security and privacy review before onboarding new vendors. This review should assess the third party's privacy policies, data protection controls, and compliance with relevant regulations to ensure they meet EnsureClaim's standards. This approach ensures that third parties handle personal data responsibly and securely, mitigating potential risks associated with data sharing.
Reference:
IAPP Certification Textbooks, particularly the sections on vendor management and third-party risk assessment.
"Vendor Management: Reducing Third-Party Risks," IAPP White Paper.
NEW QUESTION # 136
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