Qwiklabs Sakura Satio

Link to the Lab:  https://www.cloudskillsboost.google/focuses/2794?parent=catalog Link to the Video:  https://youtu.be/KFjyI-o60W8 Link to the Channel:  https://www.youtube.com/channel/UCiWP5KYh4MWj-yp3j-DMIrA Answers are marked bold and are highlighted in light yellow This builds a temporary environment in Google Cloud. Start lab (button) Credit Time Score When the timer reaches 00:00:00, you will lose access to your temporary Google Cloud environment. False True Some labs have tracking, which scores your completion of hands-on lab activities. False True In order to receive completion credit for a lab that has tracking, you must complete the required hands-on lab activities. False True What field is NOT found in the left pane? Project ID System admin Password Open Google Console The username in the left panel, which resembles googlexxxxxx_student@qwiklabs.net, is a Cloud IAM identity. True False An organizing entity for anything you build with Google Cloud. Password Username Clou

Link to the Lab:  https://www.cloudskillsboost.google/focuses/14572?parent=catalog Link to the Video:  https://www.youtube.com/embed/vVvE-dvGs-Y Link to the Channel:  https://www.youtube.com/channel/UCiWP5KYh4MWj-yp3j-DMIrA STEPS Task 1: gcloud config set compute/zone us-east1-b nano role-definition.yaml *insert whatever is given below* title: "orca_storage_update" description: "Permissions" stage: "ALPHA" description: "Permissions" stage: "ALPHA" includedPermissions: - storage.buckets.get - storage.objects.get - storage.objects.list - storage.objects.update - storage.objects.create   To save a .yaml file press ctrl+x then press y then press enter   gcloud iam service-accounts create orca-private-cluster-sa --display-name "Orca Private Cluster Service Account"   gcloud iam roles create orca_storage_update \ --project $DEVSHELL_PROJECT_ID \ --file role-definition.yaml Task 2 and 3:   gcloud projects add-iam-policy-bi

Link to the Lab:  https://www.cloudskillsboost.google/focuses/11044?parent=catalog Link to the Video:  https://youtu.be/lkI8WscliSs Link to the Channel:  https://www.youtube.com/channel/UCiWP5KYh4MWj-yp3j-DMIrA STEPS (will be unique for everyone) storage →  bucket → create bucket with your Cloud Storage Bucket Name . For Access Control select Fine-Grained → Press create bigquery →  select project →  create dataset →  name= BigQuery Dataset Name open cloud shell gsutil cp gs://cloud-training/gsp323/lab.csv . cat lab.csv gsutil cp gs://cloud-training/gsp323/lab.schema . cat lab.schema copy the bigquery schema and store it somewhere go to bigquery go to dataset lab create table create table from = google cloud storage select file from GCS bucket = cloud-training/gsp323/lab.csv table name = customers enable edit as text paste the bigquery schema that you copied earlier create Go to dataproc clusters create cluster → Cluster on Compute Engine → Create Location → Region leave the rest d

Link to the Lab:  https://www.cloudskillsboost.google/focuses/10457?parent=catalog Link to the Video:  https://youtu.be/9-IWU0To3w8 Link to the Channel:  https://www.youtube.com/channel/UCiWP5KYh4MWj-yp3j-DMIrA STEPS Step 1: Create a Docker image and store the Dockerfile gsutil cat gs://cloud-training/gsp318/marking/setup_marking.sh | bash gcloud source repos clone valkyrie-app cd valkyrie-app cat > Dockerfile <<EOF FROM golang:1.10 WORKDIR /go/src/app COPY source . RUN go install -v ENTRYPOINT ["app","-single=true","-port=8080"] EOF docker build -t valkyrie-app:v0.0.1 . cd .. cd marking ./step1.sh Step 2:Test the created Docker image cd .. cd valkyrie-app docker run -p 8080:8080 valkyrie-app:v0.0.1 & cd .. cd marking ./step2.sh   Step 3: Push the Docker image in the Container Repository make sure you are out of the marking folder... to get out of the marking folder run: cd .. cd valkyrie-app docker tag valkyrie-app:v0.0.1 gcr.io/$GOOGLE_