DATA QUEST 2.0

1. Which principle of the CIA Triad ensures that information is accurate and hasn't been tampered with?

• Confidentiality

• Integrity

• Availability

• Authorization

What is the primary purpose of Multi-Factor Authentication (MFA)?

• The primary purpose of Multi-Factor Authentication (MFA) is to increase security by requiring multiple forms of verification.
• To simplify the login process by using a single password.
• To eliminate the need for passwords altogether.
• To provide a backup method for forgotten passwords.

What term is used for a weakness in a system that can be exploited by a threat?

• vulnerability
• exploit
• threat
• risk

A deceptive email urging a user to click a link to "verify" their bank account login details is an example of what type of attack?

• Phishing attack
• Malware attack
• Spoofing attack
• Brute force attack

What is the main function of a Firewall in a network?

• To increase the speed of network connections.
• To provide wireless access to devices.
• To store data securely in the cloud.
• The main function of a Firewall in a network is to monitor and control network traffic based on security rules.

Why is it critically important to install software updates and patches immediately?

• Installing updates can slow down your system.
• Patches are only necessary for major software releases.
• It is critically important to install software updates and patches immediately to protect against security vulnerabilities and ensure optimal performance.
• Software updates are optional and can be ignored.

Which of the following best describes the process of Encryption?

• The process of compressing data to save storage space.
• The process of converting data into a coded format to prevent unauthorized access.
• The method of backing up data to prevent loss.
• The technique of sharing data over a network securely.

Which category of machine learning is used to find inherent structures or groupings within a dataset that has no labeled output?

• Unsupervised learning
• Semi-supervised learning
• Reinforcement learning
• Supervised learning

Which of the following techniques is commonly used to prevent a model from performing too well on training data while generalizing poorly to new, unseen data (overfitting)?

• Data augmentation
• Batch normalization
• Regularization
• Early stopping

In the Bias-Variance Tradeoff, which issue is characterized by a model that is too simple, fails to capture the underlying relationships in the data, and performs poorly on both training and test sets?

• High variance
• High bias
• Overfitting
• Underfitting