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By Google · Question Mode

QuestionQ141

Building and testing applications

You must load-test a group of REST API endpoints deployed to Cloud Run. The API responds to HTTP POST requests. Your load tests must satisfy these requirements:

  • Load is generated from multiple parallel threads.
  • API user traffic comes from multiple source IP addresses.
  • Load can scale up through additional test instances.

You want to use Google-recommended best practices. How should you configure the load test?

  • A Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in a managed instance group, and run one instance of the image for each VM.
  • B Create an image that has cURL installed, and configure cURL to run a test plan. Deploy the image in an unmanaged instance group, and run one instance of the image for each VM.
  • C Deploy a distributed load testing framework on a private Google Kubernetes Engine cluster. Deploy additional Pods as needed to initiate more traffic and support the number of concurrent users.
  • D Download the container image of a distributed load testing framework on Cloud Shell. Sequentially start several instances of the container on Cloud Shell to increase the load on the API.
Explanation

A distributed load-testing framework on GKE can run concurrent test workers in multiple Pods and scale the test generator horizontally by adding Pods. This provides controlled concurrent traffic and multiple load-generator sources. Google Cloud recommends using a controlled test harness, such as JMeter, for Cloud Run load testing and increasing load through thread groups and request timing.

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