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Zorluk: Çok zorDeploying and Managing Compute Engine Virtual Machines

A DevOps team is automating the deployment of a Compute Engine instance named `analytics-worker` in zone `us-central1-a` using the Google Cloud CLI. The VM requires a local file `/opt/scripts/init.sh` to run as a startup script during boot. Additionally, the VM must have custom metadata configured with a key of `environment` set to `production`, attach a custom service account `[email protected]`, and be granted read-only access to Cloud Storage via API access scopes. Which `gcloud compute instances create` command correctly provisions this virtual machine according to all requirements?

  1. gcloud compute instances create analytics-worker --zone=us-central1-a --metadata-from-file=startup-script=/opt/scripts/init.sh --metadata=environment=production --service-account=sa-analytics@my-project.iam.gserviceaccount.com --scopes=https://www.googleapis.com/auth/devstorage.read_onlyCevap
  2. B
    gcloud compute instances create analytics-worker --zone=us-central1-a --metadata=startup-script-file=/opt/scripts/init.sh,environment=production --service-account=sa-analytics@my-project.iam.gserviceaccount.com --scopes=https://www.googleapis.com/auth/devstorage.read_only
  3. C
    gcloud compute instances create analytics-worker --zone=us-central1-a --metadata-from-file=startup-script=/opt/scripts/init.sh --metadata=environment=production --service-account=sa-analytics@my-project.iam.gserviceaccount.com --scopes=roles/storage.objectViewer
  4. D
    gcloud compute instances create analytics-worker --zone=us-central1-a --metadata-from-file=startup-script=/opt/scripts/init.sh --metadata=environment=production --service-account=sa-analytics@my-project.iam.gserviceaccount.com --scopes=https://www.googleapis.com/auth/devstorage.read_only --preemptible --provisioning-model=SPOT

Cevap

The correct command is the one that uses `--metadata-from-file=startup-script=/opt/scripts/init.sh` alongside `--metadata=environment=production`, `--service-account=sa-analytics@my-project.iam.gserviceaccount.com`, and `--scopes=https://www.googleapis.com/auth/devstorage.read_only`.
The correct command properly distinguishes between string metadata and file-based metadata by employing `--metadata-from-file=startup-script=/opt/scripts/init.sh` and `--metadata=environment=production`. It also correctly specifies a valid OAuth scope URI (`https://www.googleapis.com/auth/devstorage.read_only`) alongside the custom service account email address.

Adım Adım Çözüm

1
Identify the proper CLI flag for local script metadata attachment.
Local files supplied as startup scripts must be specified via `--metadata-from-file=startup-script=<path_to_file>` rather than standard string `--metadata`.
The standard `--metadata` flag treats values as explicit string literals, whereas `--metadata-from-file` reads the content of the file specified at the path.
2
Differentiate between OAuth API access scopes and IAM permissions.
The `--scopes` flag requires valid OAuth URLs or shorthand aliases (such as `storage-ro` or `https://www.googleapis.com/auth/devstorage.read_only`).
IAM roles (e.g., `roles/storage.objectViewer`) govern authorization on GCP resources, while legacy API access scopes define the maximum permissions allowed on the instance's service account credentials.
3
Verify service account attachment and availability parameters.
Specify `--service-account` with the full service account email and avoid conflicting provisioning model flags.
Mixing legacy `--preemptible` flags with modern `--provisioning-model=SPOT` flags causes CLI validation errors.

Anahtar Kavram

Deploying Compute Engine VMs with startup scripts, custom metadata, custom service accounts, and API scopes via gcloud CLI
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Konular

Deploying and Managing Compute Engine Virtual Machines

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