You want to create a private connection between your instances on Compute Engine and your on-premises data center. You require a connection of at least 20 Gbps. You want to follow Google-recommended practices. How should you set up the connection?

• A.Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises datacenter using a single Cloud VPN.
• B.Create a VPC and connect it to your on-premises data center using Dedicated Interconnect.
• C.Create a Cloud Content Delivery Network (Cloud CDN) and connect it to your on-premises data center using Dedicated Interconnect.
• D.Create a VPC and connect it to your on-premises data center using a single Cloud VPN.

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You set up an autoscaling instance group to serve web traffic for an upcoming launch. After configuring the instance group as a backend service to an HTTP(S) load balancer, you notice that virtual machine (VM) instances are being terminated and re-launched every minute. The instances do not have a public IP address. You have verified the appropriate web response is coming from each instance using the curl command. You want to ensure the backend is configured correctly.
What should you do?

• A.Ensure that a firewall rules exists to allow source traffic on HTTP/HTTPS to reach the load balancer.
• B.Assign a public IP to each instance and configure a firewall rule to allow the load balancer to reach the instance public IP.
• C.Ensure that a firewall rule exists to allow load balancer health checks to reach the instances in the instance group.
• D.Create a tag on each instance with the name of the load balancer. Configure a firewall rule with the name of the load balancer as the source and the instance tag as the destination.

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You are creating an App Engine application that uses Cloud Datastore as its persistence layer. You need to retrieve several root entities for which you have the identifiers. You want to minimize the overhead in operations performed by Cloud Datastore. What should you do?

• A.Create the Key object for each Entity and run a batch get operation
• B.Create the Key object for each Entity and run multiple get operations, one operation for each entity
• C.Use the identifiers to create a query filter and run a batch query operation
• D.Use the identifiers to create a query filter and run multiple query operations, one operation for each entity

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For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

• A.BigQuery to store the data, and a web server cluster in a managed instance group to access the data. Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
• B.Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
• C.Google Cloud Storage Nearline to store the data, and gsutil to access the data.
• D.Google Cloud Storage Coldline to store the data, and gsutil to access the data.

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The current Dress4win system architecture has high latency to some customers because it is located in one data center.
As of a future evaluation and optimizing for performance in the cloud, Dresss4win wants to distribute it's system architecture to multiple locations when Google cloud platform.
Which approach should they use?

• A.Use regional managed instance groups and a global load balancer to increase performance because the regional managed instance group can grow instances in each region separately based on traffic.
• B.Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines managed by your operations team.
• C.Use regional managed instance groups and a global load balancer to increase reliability by providing automatic failover between zones in different regions.
• D.Use a global load balancer with a set of virtual machines that forward the requests to a closer group of virtual machines as part of a separate managed instance groups.

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