You are developing your microservices application on Google Kubernetes Engine. During testing, you want to validate the behavior of your application in case a specific microservice should suddenly crash. What should you do?

• A.Destroy one of the nodes of the Kubernetes cluster to observe the behavior.
• B.Configure Istio's traffic management features to steer the traffic away from a crashing microservice.
• C.Use Istio's fault injection on the particular microservice whose faulty behavior you want to simulate.
• D.Add a taint to one of the nodes of the Kubernetes cluster. For the specific microservice, configure a pod anti-affinity label that has the name of the tainted node as a value.

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For this question, refer to the Dress4Win case study.
As part of their new application experience, Dress4Wm allows customers to upload images of themselves. The customer has exclusive control over who may view these images.
Customers should be able to upload images with minimal latency and also be shown their images quickly on the main application page when they log in. Which configuration should Dress4Win use?

• A.Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata that maps each customer's ID and their image files.
• B.Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in Cloud Storage that contains the customer's unique ID.
• C.Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner attribute, ensuring privacy of images.
• D.Use a distributed file system to store customers' images. As storage needs increase, add more persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps each customer's ID to their image files.

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You want to automate the creation of a managed instance group. The VMs have many OS package dependencies. You want to minimize the startup time for new VMs in the instance group.
What should you do?

• A.Use Terraform to create the managed instance group and a startup script to install the OS package dependencies.
• B.Create a custom VM image with all OS package dependencies. Use Deployment Manager to create the managed instance group with the VM image.
• C.Use Puppet to create the managed instance group and install the OS package dependencies.
• D.Use Deployment Manager to create the managed instance group and Ansible to install the OS package dependencies.

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You need to develop procedures to test a disaster plan for a mission-critical application. You want to use Google-recommended practices and native capabilities within GCP.
What should you do?

• A.Use Deployment Manager to automate service provisioning. Use Activity Logs to monitor and debug your tests.
• B.Use gcloud scripts to automate service provisioning. Use Stackdriver to monitor and debug your tests.
• C.Use gcloud scripts to automate service provisioning. Use Activity Logs monitor and debug your tests.
• D.Use Deployment Manager to automate service provisioning. Use Stackdriver to monitor and debug your tests.

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Your team needs to create a Google Kubernetes Engine (GKE) cluster to host a newly built application that requires access to third-party services on the internet. Your company does not allow any Compute Engine instance to have a public IP address on Google Cloud. You need to create a deployment strategy that adheres to these guidelines. What should you do?

• A.Configure the GKE cluster as a private cluster, and configure Cloud NAT Gateway for the cluster subnet.
• B.Configure the GKE cluster as a private cluster. Configure Private Google Access on the Virtual Private Cloud (VPC).
• C.Configure the GKE cluster as a route-based cluster. Configure Private Google Access on the Virtual Private Cloud (VPC).
• D.Create a Compute Engine instance, and install a NAT Proxy on the instance. Configure all workloads on GKE to pass through this proxy to access third-party services on the Internet.

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