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the binding between service and service account is missing

This was helpful. Thank you Its much easier with Google Cloud Shell compared to Console. gcloud auth list gcloud config set compute/region us-west1 nano role-definition.yaml title: "orca_storage_editor_902" description: "to be able to create and update storage objects" stage: "ALPHA" includedPermissions: - appengine.versions.create - appengine.versions.delete - storage.buckets.get - storage.objects.get - storage.objects.list - storage.objects.update - storage.objects.create Then save and close the file by pressing CTRL+X, Y and then ENTER. Create custom Role using the above role-definition.yaml ! gcloud iam roles create orca_storage_editor_902 --project $DEVSHELL_PROJECT_ID \ --file role-definition.yaml Service Account! gcloud iam service-accounts create orca-private-cluster-335-sa --display-name "orca-private-cluster-335-sa" Bind Custom Role to Service account! gcloud projects add-iam-policy-binding $DEVSHELL_PROJECT_ID \ --member serviceAccount:orca-private-cluster-335-sa@$DEVSHELL_PROJECT_ID.iam.gserviceaccount.com --role roles/logging.logWriter gcloud projects add-iam-policy-binding $DEVSHELL_PROJECT_ID \ --member serviceAccount:orca-private-cluster-335-sa@$DEVSHELL_PROJECT_ID.iam.gserviceaccount.com --role roles/monitoring.metricWriter gcloud projects add-iam-policy-binding $DEVSHELL_PROJECT_ID \ --member serviceAccount:orca-private-cluster-335-sa@$DEVSHELL_PROJECT_ID.iam.gserviceaccount.com --role roles/monitoring.viewer gcloud projects add-iam-policy-binding $DEVSHELL_PROJECT_ID --member=serviceAccount:orca-private-cluster-335-sa@$DEVSHELL_PROJECT_ID.iam.gserviceaccount.com --role=projects/$DEVSHELL_PROJECT_ID/roles/orca_storage_editor_902 Create and Configure New Kubernetes Engine Private Cluster! gcloud container clusters create orca-cluster-343 \ --num-nodes 1 \ --master-ipv4-cidr 172.16.0.16/28 \ --network orca-build-vpc \ --subnetwork orca-build-subnet \ --enable-master-authorized-networks \ --master-authorized-networks 192.168.10.2/32 \ --enable-ip-alias \ --enable-private-nodes \ --enable-private-endpoint \ --service-account orca-private-cluster-335-sa@$DEVSHELL_PROJECT_ID.iam.gserviceaccount.com \ --zone us-west1-a SSH VM! gcloud config set compute/zone us-west1-a sudo apt-get install kubectl sudo apt-get install google-cloud-sdk-gke-gcloud-auth-plugin echo "export USE_GKE_GCLOUD_AUTH_PLUGIN=True" >> ~/.bashrc source ~/.bashrc gcloud container clusters get-credentials orca-cluster-343 --internal-ip kubectl create deployment hello-server --image=gcr.io/google-samples/hello-app:1.0 Thank you

I am having an issue completing this lab. After multiple attempts, the 2 nginx servers error keeps coming up. Your other labs have helped me to be successful.

Thanks

Excuse me, I have a doubt. How did you know how to manage the long and lat with the pickups and dropoffs? When I saw the assingment I didn't get it actually. 😫

what the worng thing you are doing bro

at 7:42 in Define connectivity method it is not completing and stuck in Configuring the destination database for VPC peering. This can take a few minutes. I tried 2times and its the same and i wait for 20-30 min each time and also trying to refresh and also try delete and re-creating the migration job but nothing will be working. help me to complete the task.

Task 3 still doesn't work for me

Can u please make a videos on 1)Building a Conversational Search Agent with Reasoning Engine and RAG on Vertex Al Search 2)Generative Al Search: Challenge Lab 3)Integrate Search in Applications using Vertex Al Agent Builder 4)Vertex Al Agent Builder Data Store Status Checker 5)Custom Embeddings with Vertex Al Agent Builder 6)Storing and Querying Embeddings with AlloyDB for PostgreSQL 7)Integrate Search in Applications using Vertex Al Agent Builder 8)Informed decision making using Dialogflow CX generators and data stores 9)Generative Chat App with Vertex Al Agent Builder and Dialogflow 10)Search and Conversational Al in AVertex Al and Dialogflow CX: Challenge Lab 11)Orchestrating LLMs with LangChain: Challenge Lab 12)Measure Gen Al performance with the Generative Al Evaluation Service 13)Evaluate a Question Answering App with Rapid Evaluation: Challenge Lab

Ajudou muito!! Valeu! Ótimo conteúdo!

thank you!! 👍

Bro you are using Angular 17 with ngModule? you should just used angular 16?

Thanks sir, it works 👍

Sound off

lab is updated. please make updated solution

😢😢oRilegRobus

HawdgRobs

you are definitely an angular developer expert

Aiplatform not defined its showing

que merda, um vegetal faz melhor kkkk

Great help! Thanks a million!!

How to translate the content which is coming from api

Useless video. Save your time. Not even the audio worth.

Sir thank you! Its work for me 🔥

i got this message on task 3 "It doesn't look like you've completed this step yet. Try again."

LOL 😂😂😂😂

Thanks buddy 😊🎉 it helps me a lot.

12:50 i got error when check glcoud builds list status always failure not working, can you help?

this lab have been upgrade sir, this code don't work please update 😁

Merci

thank you very much guys

gcloud alpha builds triggers import --source=/tmp/trigger.yaml failed here and continuation

Not working

thanks

I have a problem with task 3. I tried several times and it did not work what should i do ?

it said "It doesn't look like you've completed this step yet. Try again." in task 3

Thx mate

As of this writing, I'm convinced this MS Lab Exercise needs to be rewritten and just doesn't work. The curl link shows a white page indicating the resource has been moved (which is why I suspect you didn't click the curl link). I got the Lamna Healthcare Records page to display by running az webapp up --name xxxx --resource-group xxxx but that's as far as I got. I couldn't get the JS or C# modifications to work after the fact.

what exactly you achieved here..its not routing to the specific language right?

Thank you so much.

ok!👍👍😎😎

Ok!👍👍😎😎

you put 3 in the instance and the correct one is 5 It worked here!👍👍😎😎

If the file link was provided in Github it could have been better and easy to use

✌✌😎😎

Bom!✌✌😎😎

Error in last task: Correct predictions = 3, Total predictions = 20, Accuracy = 0.15 Error: Please send the prediction request to the endpoint.

Task 3 isn't necessary bro if task 2 is done in console

?? u said a whole lotta nothing

???