Explain Core AI Principles and Terminology CY0-001 Practice Questions (Page 5)

Questions 21–25

1. 21foundation · easy

   What is the function of the weights in a neural network?

   • AThey encrypt the data as it passes through the network.
   • BThey determine the strength of the connection between neurons, influencing the signal passed to the next layer.
   • CThey store the training data for later retrieval.
   • DThey define the number of layers in the network.
   Reveal Solution Discussion Select an answer first
2. 22foundation · easy

   Which cybersecurity application could potentially use reinforcement learning?

   • AEncrypting data at rest using a symmetric key.
   • BClassifying network traffic as malicious or benign using labeled historical data.
   • CAutomating the response to an active intrusion by learning which actions minimize damage over time.
   • DGrouping similar malware samples into clusters without labels.
   Reveal Solution Discussion Select an answer first
4. 23foundation · easy

   Which cybersecurity scenario is best suited for unsupervised learning?

   • APredicting the likelihood of a user falling for a phishing attack based on historical labeled incidents.
   • BIdentifying known malware families using a signature database.
   • CClassifying emails as spam or not spam using a dataset of labeled emails.
   • DDetecting new, unknown network anomalies without prior labels of what constitutes an attack.
   Reveal Solution Discussion Select an answer first
5. 24foundation · easy

   What is a 'feature' in the context of AI and machine learning?

   • AAn individual measurable property or characteristic of the data used as input to a model.
   • BA security vulnerability in an AI system.
   • CA type of neural network architecture.
   • DThe final output of a machine learning model.
   Reveal Solution Discussion Select an answer first
6. 25application · medium

   A security team has a large dataset of network flow logs that are labeled as either 'benign' or 'malicious' by a senior analyst. They want to train a model to classify new flows into these two categories. Which machine learning approach should they use?

   • AReinforcement learning with a reward function
   • BSupervised learning with a classification algorithm
   • CSemi-supervised learning using only the unlabeled portion
   • DUnsupervised learning with a clustering algorithm
   Reveal Solution Discussion Select an answer first