Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?

• A.Load data into Google BigQuery
• B.Insert data into Google Cloud SQL
• C.Put flat files into Google Cloud Storage
• D.Stream data into Google Cloud Datastore

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For this question, refer to the Mountkirk Games case study. You need to analyze and define the technical architecture for the compute workloads for your company, Mountkirk Games. Considering the Mountkirk Games business and technical requirements, what should you do?

• A.Create a global load balancer with managed instance groups and autoscaling policies. Use non-preemptible Compute Engine instances.
• B.Create network load balancers. Use non-preemptible Compute Engine instances.
• C.Create network load balancers. Use preemptible Compute Engine instances.
• D.Create a global load balancer with managed instance groups and autoscaling policies. Use preemptible Compute Engine instances.

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All compute Engine instances in your VPC should be able to connect to an Active Directory server on specific ports. Any other traffic emerging from your instances is not allowed. You want to enforce this using VPC firewall rules.
How should you configure the firewall rules?

• A.Create an egress rule with priority 100 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 1000 to block all traffic for all instances.
• B.Create an egress rule with priority 1000 to deny all traffic for all instances. Create another egress rule with priority 100 to allow the Active Directory traffic for all instances.
• C.Create an egress rule with priority 1000 to allow the Active Directory traffic. Rely on the implied deny egress rule with priority 100 to block all traffic for all instances.
• D.Create an egress rule with priority 100 to deny all traffic for all instances. Create another egress rule with priority 1000 to allow the Active Directory traffic for all instances.

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You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events in strict chronological order with no repeat data for proper processing.
Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?

• A.Cloud Pub/Sub alone
• B.Cloud Pub/Sub to Cloud DataFlow
• C.Cloud Pub/Sub to Stackdriver
• D.Cloud Pub/Sub to Cloud SQL

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You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

• A.Perform the following:
  1) Create a managed instance group with f1-micro type machines.
  2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
  3) Restart the instances to automatically deploy new production releases.
• B.Perform the following:
  1) Create a managed instance group with n1-standard-1 type machines.
  2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
  3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
• C.Perform the following:
  1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
  2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
  3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
• D.Perform the following:
  1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
  2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
  3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
  Restart the pods to automatically deploy new production releases.

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