A news teed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed. What is the most likely cause of this problem?

• A.The HTTP Expires header needs to be set to -1 to stop caching.
• B.The URL of the API needs to be modified to prevent caching.
• C.The session variable is local to just a single instance.
• D.The session variable is being overwritten in Cloud Datastore.

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As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging
and monitoring system so they can handle spikes in their traffic load.
They want to ensure that:
* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of
usage throughout the day
* Their administrators are notified automatically when their application reports errors.
* They can filter their aggregated logs down in order to debug one piece of the application across many
hosts
Which Google StackDriver features should they use?

• A.Monitoring, Trace, Debug, Logging
• B.Logging, Alerts, Insights, Debug
• C.Monitoring, Logging, Alerts, Error Reporting
• D.Monitoring, Logging, Debug, Error Report

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You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

• A.Add additional nodes to your Container Engine cluster using the following command:
  gcloud container clusters resize CLUSTER_NAME --size 10
• B.Add a tag to the instances in the cluster with the following command:
  gcloud compute instances add-tags INSTANCE --tags enable --autoscaling max-nodes-10
• C.Update the existing Container Engine cluster with the following command:
  gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10
• D.Create a new Container Engine cluster with the following command:
  gcloud alpha container clusters create mycluster --enable-autocaling --min-nodes=1 --max-nodes=10 and redeploy your application.

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For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

• A.Google Kubernetes Engine with an SSL Ingress
• B.Cloud IoT Core with public/private key pairs
• C.Compute Engine with project-wide SSH keys
• D.Compute Engine with specific SSH keys

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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 its 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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