Skip to content

Session 3 Module A - Test Solutions

Advanced Orchestration Patterns - Answer Key

Question 1: Parallel Execution Strategy

Correct Answer: c) Task complexity, resource availability, and interdependency scores

Explanation: The workflow mode selection algorithm evaluates multiple factors: - Task complexity score > 0.8 AND CPU > 0.7 → parallel mode - Interdependency score > 0.6 → sequential mode (prevents conflicts) - Moderate conditions → adaptive mode (balances efficiency and coordination)

This multi-factor approach ensures optimal resource utilization while respecting task dependencies.

Question 2: Synchronization Points

Correct Answer: b) Conditional proceed with timeout protection

Explanation: The adaptive synchronization policy handles different completion levels: - 100% completion → immediate progression ("proceed_to_merge") - 75% completion → conditional advancement with timeout ("conditional_proceed") - < 75% completion → continue waiting ("continue_waiting")

The 75% threshold balances completion requirements with practical timeout considerations.

Question 3: Dynamic Agent Generation

Correct Answer: a) Capability match (40%) + Performance score (40%) + Resource efficiency (20%)

Explanation: The composite scoring algorithm weights three factors: 

composite_score = (
    capability_match * 0.4 +      # How well capabilities align
    performance_score * 0.4 +     # Historical success rate  
    resource_efficiency * 0.2     # Computational efficiency
)

This weighting prioritizes capability alignment and proven performance while considering resource optimization.

Question 4: Branch Merging Strategy

Correct Answer: b) Quality score (70%) + Time factor (30%)

Explanation: The intelligent research merging uses quality-weighted integration: 

time_factor = 1.0 / (1.0 + execution_time / 60)  # Prefer faster execution
weight = quality_score * 0.7 + time_factor * 0.3

This approach prioritizes result quality while rewarding efficient execution, creating balanced weighting for synthesis.

Question 5: Agent Specialization

Correct Answer: c) Research focus, depth level, data sources, and fact checking

Explanation: Research specialist agents receive domain-specific configuration: - research_focus: Target domain (technical, market, competitive) - depth_level: Investigation thoroughness (standard, comprehensive) - data_sources: Preferred information sources - fact_checking_enabled: Accuracy verification requirements

These parameters optimize research agents for specific investigation tasks and quality standards.

Key Concepts Summary

Orchestration Patterns

  • Multi-factor decision making balances complexity, resources, and dependencies
  • Adaptive synchronization provides flexibility while maintaining coordination
  • Quality-weighted merging prioritizes accuracy while rewarding efficiency

Dynamic Agent Generation

  • Composite scoring evaluates agent suitability across multiple dimensions
  • Specialization parameters customize agent behavior for specific task types
  • Resource management ensures system stability during dynamic creation

Enterprise Integration

  • Performance tracking enables continuous optimization of agent selection
  • Timeline auditing provides transparency and debugging capabilities
  • Fault tolerance maintains workflow integrity despite individual agent failures

← Back to Module A