Identify Common Machine Learning Techniques AI-900 Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   An email service wants to automatically mark incoming messages as 'spam' or 'not spam'. Which machine learning technique should be used?

   • ARegression
   • BDimensionality reduction
   • CClassification
   • DClustering
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   For which type of task is the Transformer architecture particularly well-suited?

   • ADecision tree classification
   • BLinear regression on tabular data
   • CK-means clustering
   • DNatural language processing
   Reveal Solution Discussion Select an answer first
4. 28expert · hard

   A legal firm wants to automatically extract key clauses from contracts and classify them as 'confidential', 'liability', or 'payment'. The contracts are long and have complex language. Which approach is most appropriate?

   • AUse a clustering model to group similar clauses and then manually label them.
   • BUse a regression model to predict the clause type.
   • CUse a simple bag-of-words model with a classifier.
   • DUse a transformer-based model fine-tuned for named entity recognition and text classification.
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A healthcare organization wants to automatically categorize chest X-ray images into 'normal', 'pneumonia', or 'other abnormality'. They have a large dataset of labeled images and need to achieve high accuracy on subtle visual patterns. Which approach should they choose?

   • AApply a clustering algorithm to group images without using the labels.
   • BUse a regression model to predict a continuous score for each image.
   • CUse a transformer model to process the images as sequential pixel data.
   • DTrain a deep neural network with multiple convolutional layers on the labeled images.
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A company wants to build a chatbot that can understand user queries and generate responses. The queries are complex and require understanding context and relationships between words. Which architecture is best suited for this natural language processing task?

   • AA regression model to predict the next word in a response.
   • BA clustering model to group similar queries and generate responses.
   • CA transformer-based model with self-attention mechanisms to capture relationships between words.
   • DA simple neural network with a single hidden layer.
   Reveal Solution Discussion Select an answer first