Objective assessment Using BigQuery Omni with AWS (1001+ questions and answers)

Objective assessment Using
BigQuery Omni with AWS (1001+
questions and answers)


1. Network-Level Connectivity
Option 1: VPN Connection (Site-to-Site)
 Use Case: Secure, private connectivity between VPCs (AWS) and VPCs
(Google Cloud).
 Implementation:
1. AWS Side:
 Create a Virtual Private Gateway in AWS VPC.
 Configure a Customer Gateway with Google Cloud's
external VPN IP.
2. Google Cloud Side:
 Set up a Cloud VPN Gateway.
 Create a VPN Tunnel pointing to AWS's Virtual Private
Gateway IP.
bash
Copy
# Google Cloud CLI
gcloud compute vpn-tunnels create aws-tunnel \
--peer-address=<AWS_VPN_IP> \
--shared-secret=<SECRET_KEY> \
--target-vpn-gateway=gcp-vpn-gw
 Pros: Low cost, encrypted traffic.

,  Cons: Limited bandwidth (~1.25Gbps per tunnel).
Option 2: Interconnect (Dedicated)
 Use Case: High-throughput (10Gbps+), low-latency connections.
 Implementation:
1. Provision AWS Direct Connect and Google Cloud Partner
Interconnect.
2. Coordinate with a supported carrier (e.g., Equinix, Megaport).
 Pros: Predictable performance, SLA-backed.
 Cons: Higher cost, longer setup time.



2. Data Integration
Option 1: Cross-Cloud Storage Sync
 AWS S3 ↔ Google Cloud Storage:
o Use Storage Transfer Service (Google Cloud) or AWS
DataSync.
bash
Copy
# Google Cloud CLI for transfer
gcloud transfer jobs create s3://aws-bucket gs://gcp-bucket \
--include-prefixes=data/
 Database Replication:
o AWS RDS → Cloud SQL: Set up CDC using Database
Migration Service (DMS).
o DynamoDB ↔ Firestore: Use AWS Lambda + Google Cloud
Functions for sync.
Option 2: Pub/Sub Integration
 AWS SQS/SNS ↔ Google Pub/Sub:
o Deploy a forwarder function (Lambda or Cloud Function):
python

,Copy
# AWS Lambda forwarder to Pub/Sub
import boto3
from google.cloud import pubsub_v1


def handler(event, context):
publisher = pubsub_v1.PublisherClient()
topic_path = 'projects/gcp-project/topics/aws-events'
for record in event['Records']:
publisher.publish(topic_path, data=record['body'].encode())



3. Identity Federation
Option 1: Single Sign-On (SSO)
 AWS IAM ↔ Google Cloud IAM:
1. Set up SAML 2.0 with Okta/Azure AD as the IdP.
2. Map AWS roles to Google Cloud service accounts.
 CLI Access:
bash
Copy
# Assume AWS role to get GCP credentials
aws sts assume-role --role-arn arn:aws:iam::123456789012:role/gcp-
federation
export GOOGLE_APPLICATION_CREDENTIALS=$(aws secretsmanager get-
secret-value --secret-id gcp-key --query SecretString --output text)
Option 2: Workload Identity Federation
 Allow AWS workloads to access Google Cloud without key
management:
bash
Copy

, gcloud iam workload-identity-pools create aws-pool \
--location=global
gcloud iam service-accounts add-iam-policy-binding gcp-
\
--role=roles/iam.workloadIdentityUser \
--member="principalSet://iam.googleapis.com/projects/123/locations/
global/workloadIdentityPools/aws-pool/attribute.aws_role/
arn:aws:sts::123456789012:assumed-role/my-role"



4. Hybrid Compute Orchestration
Option 1: Multi-Cloud Kubernetes
 AWS EKS ↔ Google GKE:
o Use Anthos or Crossplane to manage clusters uniformly.
bash
Copy
# Register EKS cluster to Anthos
gcloud container hub memberships register aws-cluster \
--context=aws-cluster \
--kubeconfig=$HOME/.kube/config
Option 2: Serverless Event Bridge
 AWS EventBridge ↔ Google Eventarc:
o Forward events via HTTP endpoints or Pub/Sub:
yaml
Copy
# Google Cloud Eventarc Trigger
triggers:
- name: aws-events-trigger
event_filters:
- attribute: type