A team notices that their Databricks bill for model serving has increased significantly, but the number of requests has not changed. They suspect that the average number of tokens per request has increased. Which Databricks tool or metric would confirm this?

The number of provisioned throughput units.

The model's training loss curve.

The system table for serving endpoint usage, which includes input and output token counts.

The cluster metrics for CPU utilization.

DatabricksCertified Generative AI Engineer Associate

Domain 6Objective 4

Cost Control and Usage Tracking GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 5)

Part of the Section 6: Evaluation and Monitoring domain, which makes up ~17% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~6–10 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here

5free pages

3concepts

Questions 21–21

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A team notices that their Databricks bill for model serving has increased significantly, but the number of requests has not changed. They suspect that the average number of tokens per request has increased. Which Databricks tool or metric would confirm this?
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Cost Control and Usage Tracking GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 5)

Questions 21–21

A team notices that their Databricks bill for model serving has increased significantly, but the number of requests has not changed. They suspect that the average number of tokens per request has increased. Which Databricks tool or metric would confirm this?

Keep studying — Section 6: Evaluation and Monitoring