ChatGPT (Open AI) Security, Privacy & Ethical Hacking Certification

Do you wish to strengthen your cybersecurity knowledge? Prepare for an interesting voyage as you discover how to study, rack of the ChatGPT ecosystem, an interactive artificial intelligence (AI) machine learning (ML) system that produces text that can be understood by humans. This course gives students free access to tools that can create text, photographs, videos, computer code, and hacking techniques, making it a vital resource for ethical hackers who check networks for vulnerabilities in the face of dangers given by their unethical rivals.

Table of Contents

About the Quiz

Get ChatGPT (Open AI) Security, Privacy & Ethical Hacking Certificate from The Digital Adda which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

Exam Details
  • Format: Multiple Choice Question
  • Questions: 20
  • Passing Score: 16/20 or 80%
  • Language: English

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As a student, ChatGPT can assist with assignments.
*

10 points

True

False

____________________ is a chatbot powered by artificial intelligence and machine learning that improves and learns from user input.
*

10 points

ChatGPT

GPT-3

GPT3

All of the above

In 1997, IBM’s ____________ became the first computer to defeat a reigning world chess champion, Garry Kasparov.
*

10 points

deep blue

deep pink

deep sea

deep black

Which of these are not valid use cases for ChatGPT?.
*

10 points

Data Analysis

Sentiment Analysis

Text Classification

Precision Surgical Procedures

A poisoning attack is a type of attack that aims to corrupt the training data of a machine-learning model.
*

10 points

True

False

What is the purpose of adversarial examples in the ethical hacking of AI systems?
*

10 points

To fool a machine learning model

To corrupt the training data of a machine learning model

To extract a replica of a machine learning model from a black-box API

To reconstruct the training data from the model’s predictions

The CEH attack on AI-based systems known as art.attacks.__________________ is a model extraction attack aimed at extracting a replica of a machine learning model from a black-box API.
*

10 points

ExtractionAttack

BlackBoxAttack

CyberAttack

None of the Above

Open AI code follows ________________ standard.
*

10 points

PEP-80

PEP-8

PEP-18

PEP-8080

ChatGPT can be trained to identify patterns in emails commonly used by attackers to trick users into giving away personal information or login credentials.
*

10 points

True

False

GPT-3 can be used to analyze security reports and identify _______________ in software and systems, making it easier to prioritize and address them.
*

10 points

Vulnerabilities

VAPT

Forensic

All of the above

Which of these are the top 10 security threats for ML/AI according to OWASP?
*

10 points

Identification & Auth Failures

Vulnerable & Outdated Components

Access to Model Artifacts / Cryptographic Failures

All of the above

Developers add clear and concise comments throughout their code to explain the purpose and functionality of different sections. What is this process called?
*

10 points

Splicing

Connecting

Commenting

Annotation

What are the main two targets of nation-state and APT groups?
*

10 points

AI based systems & processes

AI promoters and detractors

None of these

AI-powered chatbots could become a lucrative target for criminals looking to exploit people and businesses.
*

10 points

True

False

Which of the following is not AI-based systems?
*

10 points

Virtual Reality

Metaverse

Augmented Reality

Alternate Universe

Which of these would classify emails as spam or not?
*

10 points

Classifier

Starter

Seperator

All of the above

Which of these can not be done using the art.attacks.InferenceAttack class in ART?
*

10 points

perform model inversion

membership inference attacks

reconstruct the training data from the model’s predictions

infer whether a specific sample was used to train a machine learning model.

membership intracycle attacks

ChatGPT can be trained to identify patterns in ___________ and messages that attackers commonly use to trick users into giving away their personal information or login credentials.
*

10 points

in-person communications

emails

images

All of the above

What is the total number of OWASP vulnerabilities?
*

10 points

10

20

5

3

In ___________________, criminals can use AI-powered deep fake technology to impersonate someone else, commit fraud or steal personal information.
*

10 points

AR/VR

VCR

NVR

DVR

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