Other Applications DY0-001 Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A manufacturing company monitors vibration signals from industrial machinery to detect potential failures. The raw sensor data contains noise and high-frequency components that obscure the relevant patterns. Which technique should be applied first to improve the signal-to-noise ratio before further analysis?

   • AApply a high-pass filter to remove low-frequency drift and focus on high-frequency components.
   • BApply a Fourier transform to convert the signal to the frequency domain and then discard all frequency components.
   • CApply a low-pass filter to remove high-frequency noise while preserving the lower-frequency vibration patterns.
   • DApply a band-stop filter to remove a specific frequency range that contains the signal.
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A credit card company wants to detect fraudulent transactions in real-time. They have a large dataset of labeled transactions (fraudulent vs. legitimate) and need a model that can identify new, unseen fraud patterns. Which algorithm is most suitable for this task?

   • AIsolation Forest, an unsupervised anomaly detection algorithm that isolates outliers in the data.
   • BK-means clustering, an unsupervised algorithm that groups similar transactions into clusters.
   • CApriori algorithm, an association rule mining technique to find frequent itemsets in transaction data.
   • DLogistic Regression, a supervised classification algorithm trained on labeled historical transactions.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   Which reinforcement learning algorithm is known for learning the value of actions in a given state?

   • ALinear regression
   • BDecision tree
   • CQ-learning
   • DK-means clustering
   Reveal Solution Discussion Select an answer first
5. 29foundation · easy

   What is the primary purpose of anomaly detection in data science?

   • ATo reduce the number of features in a dataset
   • BTo summarize the central tendency of a dataset
   • CTo identify data points that deviate significantly from the norm
   • DTo classify data into predefined categories
   Reveal Solution Discussion Select an answer first
6. 30foundation · easy

   In which industry is graph analysis used to detect money laundering by analyzing transaction networks?

   • AEducation
   • BHealthcare
   • CRetail
   • DBanking and finance
   Reveal Solution Discussion Select an answer first