Cuestionario vinculado a una guía · Medio Nivel

Prueba de IA para gerentes de relaciones bancarias

Prueba cómo las herramientas de información de RM utilizan la recuperación filtrada por derechos, por qué los números de las notas de crédito se mantienen separados de la narrativa y qué significa realmente la siguiente mejor acción.

Rutas de guía relacionadasIA para gerentes de relaciones bancarias
Pregunta 1 de 8

In an RM assistant built on retrieval-augmented generation, when should access-control filtering happen?

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  1. In an RM assistant built on retrieval-augmented generation, when should access-control filtering happen?
    • After the model writes its answer, by redacting sensitive words
    • Before retrieved text reaches the model
    • Only when the banker exports the briefing
    • Once a month during an audit
  2. Why does the guide recommend computing credit memo figures deterministically and inserting them as fixed values?
    • Credit committees refuse to read AI-generated narrative
    • It prevents the language model from inventing or miscalculating financial figures
    • Deterministic numbers are required by suitability rules
    • It lets the model skip reading financial statements
  3. What does a well-designed next-best-action system do?
    • Automatically sells products to clients without the banker
    • Replaces the banker's quarterly client reviews
    • Presents options with reasons, leaving the banker to decide whether they fit
    • Ranks bankers by how many products they sell
  4. Which constraint specifically prevents material non-public information from flowing between teams in an RM tool?
    • Information barriers
    • Contact frequency limits
    • Model drift monitoring
    • Data retention schedules
  5. What public example does the guide give of an AI assistant for advisors?
    • A chatbot that approves mortgages for retail customers
    • Morgan Stanley's GPT-4-based assistant that answers from internal research and procedures
    • A central bank tool for supervising relationship managers
    • A trading algorithm that executes client orders
  6. Why is a credit memo described as a control document?
    • It controls the bank's marketing budget
    • It sets the client's account permissions
    • Credit committees rely on it to decide loans, so errors can lead to poor lending decisions
    • It is automatically filed with regulators
  7. Besides propensity models, what do next-best-action systems typically combine to produce suggestions?
    • Business rules such as eligibility, suitability and contact frequency limits
    • Random selection of products to avoid bias
    • Only the banker's sales targets
    • Social media sentiment about the bank
  8. Why should next-best-action systems log each suggestion, its features and whether the banker acted?
    • To calculate banker bonuses automatically
    • To support model monitoring and conduct review
    • To send the log to clients each month
    • To train the model to ignore banker decisions