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| Section | Objectives |
|---|
| Implement hybrid connectivity | - Dedicated and partner interconnect
- 1. High availability design patterns
- 2. VLAN attachments and configuration
- VPN and peering
- 1. VPC peering and Shared VPC
- 2. HA VPN setup
|
| Implement virtual networks | - VPC configuration
- 1. Custom mode VPC setup
- 2. Firewall rules configuration
- Load balancing and traffic management
- 1. HTTP(S), TCP/SSL load balancing
- 2. Cloud DNS configuration
|
| Manage, monitor, and optimize network operations | - Network monitoring and logging
- 1. Cloud Monitoring and Logging usage
- 2. Network Intelligence Center tools
- Security and troubleshooting
- 1. Latency and connectivity diagnostics
- 2. Firewall and security policy troubleshooting
|
| Design and plan a Google Cloud network | - Hybrid and multi-cloud architecture design
- 1. Interconnect and VPN planning
- 2. Routing strategy design (BGP)
- VPC design and topology planning
- 1. Subnet design and IP address planning
- 2. Regional vs global architecture considerations
|
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Google Cloud Certified - Professional Cloud Network Engineer Sample Questions (Q148-Q153):
NEW QUESTION # 148
You are establishing a hybrid connection between your on-premises data center and Google Cloud. You configured a Cloud DNS private zone and an inbound server policy in your primary VPC to allow on-premises hosts to resolve private DNS zones hosted in Google Cloud, such as vm.gcp.corp.internal. The inbound server policy has been assigned an IP address, and you have configured your on-premises DNS servers to conditionally forward requests for the gcp.corp.internal domain to this IP.
From your on-premises network, you can see that the routes for the inbound forwarding addresses were learned as expected, and response traffic is correctly being routed through your on-premises edge firewall to GCP. However, all DNS queries from on-premises clients for this domain are timing out, and they are unable to resolve the addresses of any Google Cloud resources.
What should you do?
- A. Create a firewall rule on your on-premises firewall to allow traffic on TCP:53 and UDP:53 from the on-premises IP address range to Cloud DNS inbound server policy IP addresses.
- B. Configure the Cloud DNS outbound server policy with the same IP address as the inbound policy.
- C. Ensure the Cloud DNS API is enabled in the project that contains your primary VPC.
- D. Create a Cloud DNS peering connection between your VPC and the VPC where the private zone is hosted.
Answer: A
Explanation:
DNS queries are timing out because the traffic still must be allowed through the on-premises firewall on both UDP 53 and TCP 53 for the inbound forwarding path to work. Google Cloud documents that the effective firewall configuration must allow DNS traffic on both protocols, so permitting that traffic to the Cloud DNS inbound forwarding addresses resolves the timeout issue.
Reference:
https://docs.cloud.google.com/dns/docs/server-policies-overview
NEW QUESTION # 149
Your organization has multiple VMs running on Google Cloud within a VPC. The VMs require connectivity to certain Google APIs. You need to enable Private Google Access for VM connectivity to Cloud Storage. What should you do?
- A. Enable Private Google Access on the subnet, create a default route that points to the default internet gateway, and enable the Cloud Storage API.
- B. Enable Private Google Access on the VM, remove the default route that points to the default internet gateway, and enable the Cloud Storage API.
- C. Enable Private Google Access on the VPC, create a default route that points to the default internet gateway, and enable the Cloud Storage API.
- D. Enable Private Google Access on the project, remove the default route that points to the default internet gateway, and enable the Cloud Storage API.
Answer: A
Explanation:
Private Google Access allows VMs in a VPC subnet to access Google APIs and services (such as Cloud Storage) without requiring an external IP address. The key steps to enable Private Google Access for VM connectivity to Cloud Storage are as follows:
Enable Private Google Access on the subnet: Private Google Access is configured at the subnet level, not at the project or VM level. This ensures that VMs within the subnet can access Google APIs privately through internal IPs.
Create a default route to the default internet gateway: While the VMs use Private Google Access for Google APIs, they still need the default route for any other internet-bound traffic. This ensures proper routing for all other traffic.
Enable the Cloud Storage API: Enabling the Cloud Storage API ensures that the required service is available for your project and accessible to your VMs.
NEW QUESTION # 150
You are designing a new global application using Compute Engine instances that will be exposed by a global HTTP(S) load balancer. You need to secure your application from distributed denial-of-service and application layer (layer 7) attacks. What should you do?
- A. Configure VPC firewall rules to protect the Compute Engine instances against distributed denial-of-service attacks.
- B. Configure hierarchical firewall rules for the global HTTP(S) load balancer public IP address at the organization level.
- C. Configure a Google Cloud Armor security policy in your project, and attach it to the backend service to secure the application.
- D. Configure VPC Service Controls and create a secure perimeter. Define fine-grained perimeter controls and enforce that security posture across your Google Cloud services and projects.
Answer: A
NEW QUESTION # 151
(You are deploying an application to Google Kubernetes Engine (GKE). The application needs to make API calls to a private Cloud Storage bucket. You need to configure your application Pods to authenticate to the Cloud Storage API, but your organization policy prevents the usage of service account keys. You want to follow Google-recommended practices. What should you do?)
- A. Create the GKE cluster with Workload Identity Federation. Configure the default node service account to access the bucket. Deploy the application into the cluster so the application can use the node service account permissions. Use Identity and Access Management (IAM) to grant the service account access to the bucket.
- B. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 24 hours.
- C. Create the GKE cluster with Workload Identity Federation. Create a Google service account and a Kubernetes ServiceAccount, and configure both service accounts to use Workload Identity Federation.Attach the Kubernetes ServiceAccount to the application Pods and configure the Google service account to access the bucket with Identity and Access Management (IAM).
- D. Create the GKE cluster and deploy the application. Request a security exception to create a Google service account key. Set the constraints/iam.serviceAccountKeyExpiryHours organization policy to 8 hours.
Answer: C
Explanation:
Create a Google Service Account: You create a dedicated Google service account specifically for your application's interaction with the private Cloud Storage bucket. This allows you to grant precise IAM permissions to this service account on the bucket (e.g., roles/storage.objectViewer or roles/storage.
objectCreator).
* Create a Kubernetes ServiceAccount: You create a Kubernetes ServiceAccount within your GKE cluster. This is the identity that your application Pods will assume within the cluster.
* Configure Workload Identity Federation: You establish a trust relationship between the Kubernetes ServiceAccount and the Google service account using Workload Identity Federation. This involves configuring IAM policies that allow the Kubernetes ServiceAccount to impersonate the Google service account.
* Annotate Pods with the Kubernetes ServiceAccount: You associate the created Kubernetes ServiceAccount with your application Pods. When the application in these Pods makes a call to the Cloud Storage API, the Workload Identity agent running on the GKE nodes automatically exchanges the Kubernetes ServiceAccount token for a short-lived Google Cloud access token for the associated Google service account.
This approach offers several security advantages and aligns with Google's recommended practices:
* Principle of Least Privilege: The Google service account is granted only the necessary permissions to access the specific Cloud Storage bucket.
* No Service Account Keys to Manage: You avoid the security risks associated with creating, storing, and rotating service account keys.
* Auditable Authentication: All API calls are attributed to the specific Google service account, providing better auditability.
* Simplified Management: Workload Identity Federation automates the credential management process for your application.
Google Cloud Documentation References:
* Workload Identity: https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity 1 - This is the primary documentation explaining how to use Workload Identity to allow applications in GKE to access Google Cloud services securely without using service account keys.
NEW QUESTION # 152
Your company has just launched a new critical revenue-generating web application. You deployed the application for scalability using managed instance groups, autoscaling, and a network load balancer as frontend. One day, you notice severe bursty traffic that caused autoscaling to reach the maximum number of instances, and users of your application cannot complete transactions. After an investigation, you think it is a DDOS attack. You want to quickly restore user access to your application and allow successful transactions while minimizing cost.
Which two steps should you take? (Choose two.)
- A. Shut down the entire application in GCP for a few hours. The attack will stop when the application is offline.
- B. Use Cloud Armor to blacklist the attacker's IP addresses.
- C. Increase the maximum autoscaling backend to accommodate the severe bursty traffic.
- D. SSH into the backend compute engine instances, and view the auth logs and syslogs to further understand the nature of the attack.
- E. Create a global HTTP(s) load balancer and move your application backend to this load balancer.
Answer: C,D
NEW QUESTION # 153
......
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