AI Technologies and Frameworks CT-AI Practice Questions (Page 3)

Questions 11–15

1. 11foundation · easy

   What is a key characteristic that distinguishes deep learning from traditional machine learning?

   • ADeep learning does not require large amounts of data
   • BDeep learning can only be used for classification tasks
   • CDeep learning requires manually engineered features
   • DDeep learning uses neural networks with multiple hidden layers to automatically learn hierarchical representations
   Reveal Solution Discussion Select an answer first
2. 12foundation · easy

   What is the primary role of an AI development framework like TensorFlow or PyTorch?

   • ATo provide pre-built functions and tools for building, training, and deploying AI models
   • BTo provide hardware acceleration for AI workloads
   • CTo replace the need for programming languages entirely
   • DTo automatically generate training data for AI models
   Reveal Solution Discussion Select an answer first
4. 13application · medium

   A bank wants to predict loan default risk based on customer demographic and financial history data. The dataset has 50,000 rows and 30 features. The bank needs a model that is interpretable for regulatory compliance. Which approach is most appropriate?

   • AMachine learning with logistic regression
   • BDeep learning with a neural network
   • CMachine learning with a random forest
   • DExpert system with manual rules
   Reveal Solution Discussion Select an answer first
5. 14application · medium

   A data science team is training a large language model. They have a limited budget and need to balance training time with cost. They are considering using cloud GPUs. Which factor is most important to consider when selecting the GPU instance?

   • ANumber of CPU cores
   • BNetwork bandwidth
   • CStorage type
   • DGPU memory capacity
   Reveal Solution Discussion Select an answer first
6. 15application · medium

   A company wants to automate the extraction of key information (e.g., invoice numbers, dates, amounts) from scanned invoices. The invoices are in various formats and may contain handwritten notes. Which combination of AI technologies is most appropriate?

   • AComputer vision to read the text and NLP to interpret the content
   • BExpert system with predefined templates for each invoice format
   • CMachine learning with a single model that handles both image and text
   • DDeep learning with a convolutional neural network only
   Reveal Solution Discussion Select an answer first