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Session 8: Agno Production-Ready Agents - Test Solutions

📝 Multiple Choice Test - Session 8

Question 1: What is Agno's primary design philosophy?

A) Framework-agnostic with maximum flexibility
B) Development-focused with simple prototyping
C) Production-first with built-in observability ✅
D) Model-specific optimization

Explanation: Agno is designed from the ground up for production deployments with comprehensive observability, monitoring, and enterprise-grade features built in from day one.

Question 2: Which observability feature is built into Agno by default?

A) Simple console output
B) Custom logging framework
C) File-based logging only
D) OpenTelemetry with distributed tracing ✅

Explanation: Agno includes OpenTelemetry integration for comprehensive distributed tracing, metrics collection, and observability across complex agent systems.

Question 3: How does Agno handle agent failures in production?

A) Immediate failure without retry
B) Manual intervention required
C) Circuit breakers with exponential backoff ✅
D) Simple retry with fixed delays

Explanation: Agno implements sophisticated failure handling with circuit breakers, exponential backoff, and intelligent retry strategies to maintain system resilience.

Question 4: What format does Agno use for configuration management?

A) INI files with sections
B) YAML with environment variable interpolation ✅
C) Python configuration files
D) JSON with schema validation

Explanation: YAML configuration with environment variable support provides flexibility, security, and easy deployment across different environments.

Question 5: Which deployment model does Agno NOT support?

A) Kubernetes clusters
B) Cloud functions
C) Docker containers
D) Client-side browser deployment ✅

Explanation: Agno is designed for server-side deployments and enterprise environments, not browser-based execution due to security and performance requirements.

Question 6: What is the purpose of Agno's WorkflowOrchestrator?

A) Simple sequential task execution
B) Basic job queuing
C) Complex DAG workflows with compensation ✅
D) Parallel processing only

Explanation: WorkflowOrchestrator handles sophisticated directed acyclic graph workflows with compensation logic, saga patterns, and complex orchestration requirements.

Question 7: How does Agno implement distributed tracing?

A) Custom tracing solution
B) Simple request IDs
C) Database logging only
D) OpenTelemetry with W3C trace context ✅

Explanation: Uses industry-standard OpenTelemetry with W3C trace context propagation for comprehensive distributed system observability.

Question 8: What retry strategy does Agno use for transient failures?

A) Fixed interval retries
B) Random retry intervals
C) Exponential backoff with jitter ✅
D) Linear increase delays

Explanation: Exponential backoff with jitter prevents thundering herd problems and provides optimal retry patterns for distributed systems.

Question 9: Which caching strategy is recommended for Agno agents?

A) File-based caching
B) In-memory caching only
C) Redis with TTL and invalidation ✅
D) Database caching only

Explanation: Redis provides distributed caching with time-to-live, cache invalidation, and high-performance access patterns suitable for production agents.

Question 10: How does Agno handle concurrent request limiting?

A) Semaphores with configurable pools ✅
B) Database locks
C) Simple counter-based limiting
D) Process-based limiting

Explanation: Configurable semaphore pools prevent resource exhaustion while maintaining high throughput and system stability under load.

Question 11: What metrics does Agno's PrometheusMetrics collect by default?

A) Request rates, latencies, error rates, and agent performance ✅
B) CPU utilization only
C) Only response times
D) Memory usage only

Explanation: Comprehensive metrics collection including RED metrics (Rate, Errors, Duration) plus agent-specific performance indicators for complete observability.

Question 12: How does Agno implement structured logging?

A) JSON format with trace correlation ✅
B) CSV format
C) Binary logging
D) Plain text logging

Explanation: JSON structured logging with trace correlation enables efficient log aggregation, analysis, and correlation with distributed tracing data.

Question 13: What alerting capabilities does Agno provide?

A) SMS notifications only
B) Console warnings only
C) Email notifications only
D) Multi-channel alerts with severity levels ✅

Explanation: Comprehensive alerting system with multiple notification channels, severity-based routing, and intelligent alert management.

Question 14: How does Agno handle performance monitoring?

A) Manual performance testing
B) External monitoring tools only
C) Basic timing measurements
D) Comprehensive profiling with bottleneck detection ✅

Explanation: Built-in performance profiling, bottleneck detection, and optimization recommendations for maintaining optimal system performance.

Question 15: What security monitoring features does Agno include?

A) Request validation, rate limiting, and security event tracking ✅
B) File system monitoring only
C) Password strength checking
D) Basic authentication logs

Explanation: Comprehensive security monitoring including request validation, rate limiting, authentication tracking, and security event correlation.

Question 16: How does Agno integrate with existing enterprise authentication systems?

A) No authentication support
B) Only supports API keys
C) Basic username/password only
D) OAuth 2.0, SAML, and LDAP integration ✅

Explanation: Enterprise-grade authentication integration supporting industry-standard protocols for seamless enterprise system integration.

Question 17: What cost management features does Agno provide?

A) Manual cost calculation
B) Basic usage counting
C) No cost tracking
D) Budget tracking, cost alerts, and optimization recommendations ✅

Explanation: Comprehensive cost management with budget tracking, proactive alerting, and AI-driven optimization recommendations for cost efficiency.

Question 18: How does Agno handle data privacy and compliance?

A) User responsibility only
B) No privacy features
C) GDPR compliance, data masking, and audit trails ✅
D) Basic data encryption

Explanation: Built-in GDPR compliance features, data masking capabilities, and comprehensive audit trails for regulatory compliance.

Question 19: What scalability patterns does Agno support?

A) Horizontal scaling with load balancing and auto-scaling ✅
B) Single instance only
C) Manual scaling only
D) Vertical scaling only

Explanation: Enterprise-grade horizontal scaling with intelligent load balancing, auto-scaling policies, and resource optimization.

Question 20: How does Agno manage deployment environments?

A) Multi-environment configuration with promotion pipelines ✅
B) Development environment only
C) Manual environment management
D) Single environment support

Explanation: Sophisticated multi-environment configuration management with automated promotion pipelines and environment-specific settings.

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