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LLM Observability: Tracing, Scoring and Debugging Language Model Applications

What LLM Observability Adds Beyond Application Monitoring

Quiz: What LLM Observability Adds Beyond Application Monitoring

Traces, Spans and Sessions in a Multi Step AI Application

Quiz: Traces, Spans and Sessions in a Multi Step AI Application

What to Log: Prompts, Context, Tool Calls and Responses

Quiz: What to Log: Prompts, Context, Tool Calls and Responses

Redaction and Privacy Controls in Trace Data

Quiz: Redaction and Privacy Controls in Trace Data

OpenTelemetry Conventions for Generative AI Spans

Quiz: OpenTelemetry Conventions for Generative AI Spans

Online Scoring: Automated Judges Running on Live Traffic

Quiz: Online Scoring: Automated Judges Running on Live Traffic

User Feedback Signals and the Selection Bias They Carry

Quiz: User Feedback Signals and the Selection Bias They Carry

Retrieval Diagnostics: Was the Right Context Even Fetched?

Quiz: Retrieval Diagnostics: Was the Right Context Even Fetched?

Cost, Token Usage and Latency Budgets by Route

Quiz: Cost, Token Usage and Latency Budgets by Route

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Quiz: Traces, Spans and Sessions in a Multi Step AI Application

LLM Observability: Tracing, Scoring and Debugging Language Model Applications
Traces, Spans and Sessions in a Multi Step AI Application
Quiz: Traces, Spans and Sessions in a Multi Step AI Application

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Question 1 of 5

1. Question

Traces in multi-step AI workflows show how data flows between components in an application.

Traces are used to store user data securely
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Traces capture the complete path of data through an AI application
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Traces replace database queries in AI systems
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Traces are only relevant for single-step processes
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Question 2 of 5

2. Question

A span in an AI application represents a single operation such as a database query or API call.

A span is a collection of multiple traces
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A span is a type of session identifier
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A span represents individual operations within a trace
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A span is used to store user preferences
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Question 3 of 5

3. Question

Sessions group traces together based on user interactions or business transactions.

Sessions are used to store temporary files
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Sessions group related traces by user or business transaction
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Sessions are only used for authentication purposes
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Sessions replace all other forms of data storage
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Question 4 of 5

4. Question

The purpose of connecting trace segments through shared identifiers is to maintain data integrity across components.

Shared identifiers are used to encrypt data
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Shared identifiers allow segments to be linked into a complete trace
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Shared identifiers are used to reduce network traffic
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Shared identifiers prevent data from being stored
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Question 5 of 5

5. Question

Span durations help identify which parts of an AI pipeline are slow or failing.

Span durations are used to measure user satisfaction
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Span durations help identify performance bottlenecks
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Span durations are used to calculate billing charges
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Span durations are only relevant for cloud providers
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