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DatabricksCertified Generative AI Engineer Associate

Domain 1Objective 4

Translate Business Use Case Goals into a Description of the Desired Inputs and Outputs for the AI Pipeline GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 4)

Part of the Section 1: Design Applications domain, which makes up ~19% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–11 in this domain), expect 1–2 from this objective — we provide 24 practice questions to prepare you well beyond it. (estimate)

24questions here
5free pages
4concepts

Questions 16–20

  1. 16application · medium

    A bank wants to build a pipeline to approve small business loans. The loan officers need a decision recommendation within 5 minutes of application submission. They have application data, credit scores, and financial statements. What is the most important alignment consideration between inputs and outputs?

    Select an answer first
  2. 17application · medium

    A financial services firm wants to build an AI pipeline to detect fraudulent transactions. They have transaction data with timestamps, amounts, merchant categories, and customer profiles. The compliance team requires that the pipeline output an alert for every transaction with a fraud probability above 0.8, and they need to review alerts within 10 minutes of the transaction. What is the most important constraint to consider when specifying the pipeline's inputs and outputs?

    Select an answer first
  3. 18application · medium

    An insurance company wants to build a pipeline to automate claim triage. The goal is to route claims to the appropriate adjuster based on complexity. They have claim forms, photos, and policy documents. The adjusters need a triage decision within 1 hour of claim submission. What input specification is most appropriate?

    Select an answer first
  4. 19foundation · easy

    A marketing team wants to generate personalized email subject lines. The pipeline must process customer data in near real-time. Which input-output alignment is most appropriate?

    Select an answer first
  5. 20expert · hard

    A global e-commerce company wants to build a pipeline to recommend products to users. The goal is to increase cross-selling. They have user purchase history, browsing behavior, and product inventory. The marketing team wants real-time recommendations on the website, while the data science team wants to use a complex model that requires batch processing. The company has a limited budget for infrastructure. What is the most appropriate approach to align inputs and outputs?

    Select an answer first
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