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A Generative AI Engineer is tasked with developing a chatbot to assist the internal HelpDesk Call Center team in quickly locating relevant tickets and resolving issues. While organizing the project tasks for this GenAI application, they realize it’s time to select the data sources (either from Unity Catalog volume or Delta tables) that will be used. They have several potential data sources for consideration: call_rep_history: A Delta table with primary keys for representative_id and call_id. It tracks call resolution times using fields like call_duration and call_start_time. transcript Volume: A Unity Catalog volume containing all call recordings as .wav files, along with text transcripts in .txt format. call_cust_history: A Delta table with primary keys for customer_id and call_id. It monitors internal customer use of the HelpDesk for the purposes of chargeback. call_detail: A Delta table updated hourly with snapshots of call information, including root_cause and resolution fields (although these may be empty for ongoing calls). maintenance_schedule: A Delta table that lists both outages and scheduled maintenance downtimes for HelpDesk applications. They need to choose sources that provide the best context for identifying the root cause and resolution of tickets. Which two data sources should they select?