Your software team is developing an on-premises web application that requires direct connectivity to Compute Engine Instances in GCP using the RFC 1918 address space. You want to choose a connectivity solution from your on-premises environment to GCP, given these specifications:
* Your ISP is a Google Partner Interconnect provider.
* Your on-premises VPN device's internet uplink and downlink speeds are 10 Gbps.
* A test VPN connection between your on-premises gateway and GCP is performing at a maximum speed of
500 Mbps due to packet losses.
* Most of the data transfer will be from GCP to the on-premises environment.
* The application can burst up to 1.5 Gbps during peak transfers over the Interconnect.
* Cost and the complexity of the solution should be minimal.
How should you provision the connectivity solution?

• A.Use network compression over your VPN to increase the amount of data you can send over your VPN.
• B.Provision a Dedicated Interconnect instead of a VPN.
• C.Create multiple VPN tunnels to account for the packet losses, and increase bandwidth using ECMP.
• D.Provision a Partner Interconnect through your ISP.

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You are deploying a global external TCP load balancing solution and want to preserve the source IP address of the original layer 3 payload.
Which type of load balancer should you use?

• A.HTTP(S) load balancer
• B.Network load balancer
• C.Internal load balancer
• D.TCP/SSL proxy load balancer

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You converted an auto mode VPC network to custom mode. Since the conversion, some of your Cloud Deployment Manager templates are no longer working. You want to resolve the problem.
What should you do?

• A.Explicitly reference the custom mode networks in the Cloud Armor whitelist.
• B.Update the VPC firewall to allow the Cloud Deployment Manager to access the custom mode networks.
• C.Apply an additional IAM role to the Google API's service account to allow custom mode networks.
• D.Explicitly reference the custom mode networks in the Deployment Manager templates.

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You are designing a Google Kubernetes Engine (GKE) cluster for your organization. The current cluster size is expected to host 10 nodes, with 20 Pods per node and 150 services. Because of the migration of new services over the next 2 years, there is a planned growth for 100 nodes, 200 Pods per node, and 1500 services. You want to use VPC-native clusters with alias IP ranges, while minimizing address consumption.
How should you design this topology?

• A.Create a subnet of size/25 with 2 secondary ranges of: /17 for Pods and /21 for Services. Create a VPC- native cluster and specify those ranges.
• B.Create a subnet of size/28 with 2 secondary ranges of: /24 for Pods and /24 for Services. Create a VPC- native cluster and specify those ranges. When the services are ready to be deployed, resize the subnets.
• C.Use gcloud container clusters create [CLUSTER NAME]--enable-ip-aliasto create a VPC-native cluster.
• D.Use gcloud container clusters create [CLUSTER NAME]to create a VPC-native cluster.

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You are using a 10-Gbps direct peering connection to Google together with the gsutil tool to upload files to Cloud Storage buckets from on-premises servers. The on-premises servers are
100 milliseconds away from the Google peering point. You notice that your uploads are not using the full 10-Gbps bandwidth available to you. You want to optimize the bandwidth utilization of the connection.
What should you do on your on-premises servers?

• A.Tune TCP parameters on the on-premises servers.
• B.Compress files using utilities like tar to reduce the size of data being sent.
• C.Remove the -m flag from the gsutil command to enable single-threaded transfers.
• D.Use the perfdiag parameter in your gsutil command to enable faster performance: gsutil perfdiag gs://[BUCKET NAME].

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