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AI-900 Study Guide: Foundations of Artificial Intelligence

This study guide is designed to help you review the core concepts covered in the AI-900 exam, specifically focusing on both general Azure AI services and Generative AI.

I. Core Concepts of Artificial Intelligence

A. Defining Artificial Intelligence (AI)

AI’s fundamental goal: Imitate some aspect of human behavior or capability (e.g., speech recognition, image classification, language translation, decision-making, prediction).
AI vs. Generative AI

Prometheus itself doesn't provide built-in tools to directly analyze which metrics are using the most storage. However, there are several ways you can get an idea of which metrics are taking up a lot of space:

Cardinality: A single Prometheus metric with high cardinality (a large number of unique timeseries) can take up a lot of storage. You can use PromQL queries to find metrics with high cardinality. One such query might be count({__name__=~".+"}) by (__name__), which will count the number of unique timeseries for each metric.
Metric volume: You can also check the rate at which metrics are ingested into Prometheus, using a query like rate(prometheus_tsdb_head_samples_appended_total[5m]). This will give you an idea of how many samples are being ingested, which could be a good proxy for understanding which metrics are taking up a lot of space. However, this query won't directly tell you which metrics are responsible for the volume, but will tell you how quickly you're accumulating data ove

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