6.5 Describe Data Transformation and Mapping Within AI Agents AI-TECHNICAL-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A supply-chain AI agent consolidates inventory data from three warehouses. Warehouse A uses 'SKU' as the identifier, Warehouse B uses 'item_code', and Warehouse C uses 'product_id'. All three refer to the same product. The agent's central inventory model requires a unified 'product_identifier' field. Which mapping strategy should the agent use?

   • ADirect mapping for each source
   • BData encoding with a label encoder
   • CData aggregation with a sum operation
   • DSchema alignment with a transformation rule
   Reveal Solution Discussion Select an answer first
2. 2expert · hard

   A financial AI agent detects fraudulent transactions. The input features include 'transaction_amount' (continuous) and 'transaction_type' (categorical: 'transfer', 'withdrawal', 'payment'). The model requires all features to be numeric. The pipeline must also ensure that the categorical feature does not imply an ordinal relationship. Which transformation should be applied to 'transaction_type'?

   • ALabel encoding
   • BOne-hot encoding
   • CNormalization
   • DAggregation
   Reveal Solution Discussion Select an answer first
4. 3foundation · easy

   Which of the following is a common type of data transformation applied to input data within an AI agent?

   • ACreating a new database table to store the raw input data.
   • BFormat conversion, such as changing date strings from 'MM/DD/YYYY' to 'YYYY-MM-DD'.
   • CSending the data to a different server for processing.
   • DDeleting the data after the agent has processed it.
   Reveal Solution Discussion Select an answer first
5. 4expert · hard

   A government AI agent processes citizen applications. The source system uses a 'status' field with values 'A', 'P', and 'R'. The target system expects 'Approved', 'Pending', and 'Rejected'. The pipeline must map these codes to the full words. Which mapping strategy is most appropriate?

   • ATransformation rule with a lookup table
   • BDirect mapping
   • CData aggregation
   • DSchema alignment
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   How does data mapping integrate with the overall AI agent workflow?

   • AIt ensures that data from various sources is correctly aligned to the agent's expected input schema.
   • BIt determines the agent's response format to the user.
   • CIt manages the agent's memory and state during execution.
   • DIt controls the agent's learning rate during training.
   Reveal Solution Discussion Select an answer first