Configure AI Applications to Optimize Search Results - Challenge Lab | 2026 Updated | Expert Badge
Title: Configure AI Applications to Optimize Search Results | Challenge Lab (GENAI091)
This lab is challenge 3 for Google Cloud Technical Expert Badge - Intelligent Search
In this video, we solve the Challenge Lab: Configure AI Applications to Optimize Search Results.
This intermediate-level challenge lab (GENAI091) tests your ability to fine-tune and optimize search results in AI Applications on Google Cloud. As a challenge lab, no step-by-step instructions are provided—you must analyze the scenario and independently configure the required search controls. This video explains the overall approach and configuration strategy needed to pass the lab.
🔍 What This Video Covers
✔ Configuring search serving controls in AI Applications
✔ Boosting high-priority search results
✔ Burying irrelevant or low-priority results
✔ Filtering entries from search results
✔ Displaying metadata fields in the search interface
✔ Validating configurations using the automated scoring system
✔ Real-world search relevance optimization concepts
🎯 Lab Details
Lab ID: GENAI091
Difficulty: Intermediate
Duration: 1 hour 30 minutes
Passing Score: 80%
Uses real Google Cloud resources with temporary credentials
📂 GitHub Code Link For Prompt and Curl Command
➡️ github.com/techknowcity/google-cloud-partner-skills-labs/blob/main/Configure%20AI%20Applications%20to%20Optimize%20Search%20Results/commands.md
Reference configurations and notes used in the video are provided for learning purposes.
Disclaimer — For Educational Purposes Only
This video is created solely for educational and training purposes.
It is not intended for cheating, bypassing lab requirements, or violating program guidelines.
The goal is to help learners understand Google Cloud concepts and workflows, not to provide unauthorized shortcuts.