C3W3 Lab error in Task 2. Deploying TFJob components

Course Q&A Machine Learning Engineering for Production(MLOps) Machine Learning Modeling Pipelines in Production
1

Hi, when trying to execute the following command:

student_02_6188c46c950a@cloudshell:~ (qwiklabs-gcp-01-4d491967227b)$ kubectl apply --kustomize tf-training/tf-job-crds/base

…I am getting this:

E0731 06:28:16.466095 576 memcache.go:287] couldn’t get resource list for metrics.k8s.io/v1beta1: the server is currently unable to handle the request
E0731 06:28:16.579653 576 memcache.go:121] couldn’t get resource list for metrics.k8s.io/v1beta1: the server is currently unable to handle the request
error: resource mapping not found for name: “tfjobs.kubeflow.org” namespace: “” from “tf-training/tf-job-crds/base”: no matches for kind “CustomResourceDefinition” in version “apiextensions.k8s.io/v1beta1”
ensure CRDs are installed first

Maybe worth mentioning, that the command from " Task 1. Creating a GKE cluster" / " 2. Now, create the cluster." with parameter:

–cluster-version=1.2

…does not work and I had to use different version (I tried already 1.22 and 1.27 but this does not help in solving the issue encountered in Task 2.

I reported it via available Lab Chat Support but this did not help so far. They have to revise these training materials and this will take some time.

2

Hello @torwan
It seems the lab is broken but the staff has been notified. Thank you!
https://www.cloudskillsboost.google/focuses/17646/reviews?locale=zh_TW&parent=catalog

3

What do you think, how long it usualy takes to solve an issue like this? This is the only thing in my training left to be done to finish it.

4

I am not sure how long, but It will be updated here on Discourse once it’s fixed. Thank You