From 057575b451a1adeb1e35fb66fda3c53c255864e7 Mon Sep 17 00:00:00 2001
From: amanchopra1905 <amanc@lambdatest.com>
Date: Wed, 22 Jan 2025 18:21:31 +0530
Subject: [PATCH] added scenario 2

---
 docs/hyperexecute-run-jmeter-tests.md | 30 ++++++++++++++++++++++++---
 1 file changed, 27 insertions(+), 3 deletions(-)

diff --git a/docs/hyperexecute-run-jmeter-tests.md b/docs/hyperexecute-run-jmeter-tests.md
index 49fea3ee8..f95a2ae31 100644
--- a/docs/hyperexecute-run-jmeter-tests.md
+++ b/docs/hyperexecute-run-jmeter-tests.md
@@ -130,8 +130,8 @@ You can analyze the number of requests sent on that particular time.
 <img loading="lazy" src={require('../assets/images/hyperexecute/frameworks/performance_testing/logs.png').default} alt="HyperExecute"  width="1920" height="868" className="doc_img"/>
 
 ## Handling Special Scenarios: Overriding and Default Values
-### Scenario 1: Overriding Values via the HyperExecute UI
-When executing performance tests using HyperExecute, you have the option to override default parameters directly in the UI. Let’s explore a sample scenario to understand how HyperExecute handles these overrides.
+### Scenario 1: Overriding Values via Projects portal
+When executing performance tests using HyperExecute, you have the option to override default parameters directly in the Projects portal. Let’s explore a sample scenario to understand how HyperExecute handles these overrides.
 
 You configure the following parameters in the HyperExecute UI:
 - **Virtual Users :** (The total number of simulated users for the test): 500
@@ -158,4 +158,28 @@ Machine 1 = 84 users, Machine 2 = 83 users, Machine 3 = 83 users.
 - **Optimal Resource Utilization :** It ensures that no machine exceeds the maximum user threshold, maintaining a balanced and efficient test execution.
 - **Region-Specific Allocation :** Users are distributed proportionally based on the defined load percentages for each region.
 
-This approach ensures smooth execution of performance tests and provides precise control over resource utilization, enabling you to simulate real-world scenarios effectively.
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+This approach ensures smooth execution of performance tests and provides precise control over resource utilization, enabling you to simulate real-world scenarios effectively.
+
+### Scenario 2: Default Parameters
+In this scenario, you proceed without overriding the default values in the HyperExecute Projects portal. The configuration parameters from your JMeter file and project setup are applied as-is.
+
+#### Scenario Details:
+- **Total Users :** 250 (Specified in the JMeter .jmx file.)
+- **Regions :** 2 
+- **Machines :** 3 (Each region is allocated three machines.)
+
+#### Resulting Test Distribution:
+- **Load Distribution Across Regions :** The total of 250 virtual users is not divided across the regions because no overrides were applied. Instead, each region receives the full 250 users.
+
+- **Machine Allocation :** Each region is allocated three machines. The total user load for the region is replicated across all three machines in the region:
+  - **Region 1 :** 3 machines → 250 users per machine.
+  - **Region 2 :** 3 machines → 250 users per machine.
+
+- **User Allocation per Machine :** Each machine in both regions processes **250 users**, resulting in a total of 750 users (250 users × 3 machines) per region.
+
+#### Key Takeaways:
+- **Default Behavior :** Without overrides, the user load from the .jmx file is replicated across all configured machines in each region.
+- **Resource Replication :** Instead of splitting the total users among machines, HyperExecute applies the same load to each machine in a region.
+- **Importance of Overrides :** To distribute users proportionally across machines and regions, use the UI to override parameters such as total users, maximum users per machine, or load percentages.
+
+This behavior highlights how HyperExecute ensures flexibility in test execution while allowing for configuration control based on project requirements.
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