Question 1easymultiple choice
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Refer to the exhibit.
```
{
"policy": {
"bindings": [
{
"role": "roles/aiplatform.user",
"members": ["user:analyst@example.com", "user:engineer@example.com"]
},
{
"role": "roles/aiplatform.admin",
"members": ["user:admin@example.com"]
}
],
"auditConfigs": [
{
"service": "aiplatform.googleapis.com",
"auditLogConfigs": [
{"logType": "ADMIN_READ", "exemptedMembers": []},
{"logType": "DATA_READ", "exemptedMembers": []},
{"logType": "DATA_WRITE", "exemptedMembers": []}
]
}
]
}
}
```Refer to the exhibit. ``` Model Evaluation Metrics: - Accuracy: 0.92 - Precision: 0.88 - Recall: 0.95 - F1 Score: 0.91 - Latency (p95): 450ms - Cost per 1K requests: $0.12 Business Requirements: - Latency must be <500ms for p95 - Cost target: <$0.10 per 1K requests - Accuracy must be >90% ```
Refer to the exhibit. ``` ERROR: Prediction failed: model 'projects/my-project/locations/us-central1/models/123' is not deployed to endpoint 'projects/my-project/locations/us-central1/endpoints/456'. Deploy the model to the endpoint before sending prediction requests. ```
Refer to the exhibit.
```
{
"displayName": "my-pipeline",
"pipelineSpec": {
"root": {
"inputDefinitions": {},
"task": {
"componentRef": {
"name": "comp-model-eval"
},
"inputs": {
"project": {
"runtimeValue": {
"constantValue": "my-project"
}
},
"location": {
"runtimeValue": {
"constantValue": "us-central1"
}
},
"model_name": {
"componentInput": "model_name"
},
"eval_dataset": {
"componentInput": "eval_dataset"
}
}
}
}
},
"runtimeConfig": {
"parameterValues": {
"model_name": "text-bison@001",
"eval_dataset": "projects/my-project/datasets/eval"
}
}
}
```gcloud ai models upload \ --region=us-central1 \ --display-name=my-model \ --artifact-uri=gs://my-bucket/model \ --container-image-uri=us-docker.pkg.dev/vertex-ai/vertex-vision-model-garden-dockers/pytorch:latest
{
"name": "projects/my-project/locations/us-central1/endpoints/123456",
"displayName": "my-endpoint",
"deployedModels": [
{
"id": "789",
"model": "projects/my-project/locations/us-central1/models/456",
"dedicatedResources": {
"machineSpec": {
"machineType": "n1-standard-2",
"acceleratorType": "NVIDIA_TESLA_T4",
"acceleratorCount": 1
},
"minReplicaCount": 1,
"maxReplicaCount": 3
},
"automaticResources": null
}
]
}ERROR: (gcloud.ai.platform.predict) PERMISSION_DENIED: Permission 'aiplatform.endpoints.predict' denied on resource 'projects/my-project/locations/us-central1/endpoints/123456' (or resource may not exist).
Refer to the exhibit. ``` $ gcloud ai endpoints deploy-model \ --endpoint=projects/123/locations/us-central1/endpoints/456 \ --model=projects/123/locations/us-central1/models/789 \ --machine-type=n1-highmem-2 \ --traffic-split=0=100 Deployed model: projects/123/locations/us-central1/endpoints/456/deployedModels/789 Machine type: n1-highmem-2 Traffic split: 100% ```
Refer to the exhibit.
```json
{
"bindings": [
{
"role": "roles/aiplatform.user",
"members": ["user:admin@example.com"]
}
]
}
```Refer to the exhibit. ``` [ERROR] 401 Unauthorized - API key not valid. Please pass a valid API key. ```
{
"bindings": [
{
"role": "roles/aiplatform.user",
"members": ["user:developer@example.com"]
}
],
"etag": "BwWl3Z8="
}displayName: customer-support-endpoint
dedicatedEndpoint: false
machineType: n1-standard-4
minReplicaCount: 2
maxReplicaCount: 10
trafficSplit:
- modelId: support-v1
percentage: 100{
"error": {
"code": 403,
"message": "Permission 'aiplatform.models.predict' denied on resource 'projects/my-project/locations/us-central1/models/456'"
}
}Refer to the exhibit.
```
{
"budgetDisplayName": "genai-budget",
"alertThresholdExceeded": 1.0,
"costAmount": 12500,
"budgetAmount": 10000,
"alertName": "projects/123456789/budgets/12345"
}
```Refer to the exhibit.
```json
{
"deployment": {
"machineType": "n1-highmem-16",
"minReplicaCount": 1,
"maxReplicaCount": 5,
"accelerator": {
"acceleratorType": "NVIDIA_TESLA_T4",
"acceleratorCount": 1
},
"trafficSplit": {"default": 100}
}
}
```