Your company wants to deploy several microservices to help their system handle elastic loads.
Each microservice uses a different version of software libraries. You want to enable their developers to keep their development environment in sync with the various production services.
Which technology should you choose?

• A.RPM/DEB
• B.Containers
• C.Chef/Puppet
• D.Virtual machines

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Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used. How should you design your architecture?

• A.Create a tokenizer service and store only tokenized data.
• B.Create separate projects that only process credit card data.
• C.Create separate subnetworks and isolate the components that process credit card data.
• D.Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data.
• E.Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.

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You want to establish a Compute Engine application in a single VPC across two regions. The application must communicate over VPN to an on-premises network. How should you deploy the VPN?

• A.Expose the VPC to the on-premises network using IAM and VPC Sharing.
• B.Create a global Cloud VPN Gateway with VPN tunnels from each region to the on-premises peer gateway.
• C.Deploy Cloud VPN Gateway in each region. Ensure that each region has at least one VPN tunnel to the onpremises peer gateway.
• D.Use VPC Network Peering between the VPC and the on-premises network.

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A production database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space.
How can you remediate the problem with the least amount of downtime?

• A.In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
• B.Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine
• C.In the Cloud Platform Console, increase the size of the persistent disk and verify the new space is ready to use with the fdisk command in Linux
• D.In the Cloud Platform Console, create a new persistent disk attached to the virtual machine, format and mount it, and configure the database service to move the files to the new disk
• E.In the Cloud Platform Console, create a snapshot of the persistent disk restore the snapshot to a new larger disk, unmount the old disk, mount the new disk and restart the database service

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Your customer wants to capture multiple GBs of aggregate real-time key performance indicators (KPIs) from their game servers running on Google Cloud Platform and monitor the KPIs with low latency. How should they capture the KPIs?

• A.Store time-series data from the game servers in Google Bigtable, and view it using Google Data Studio.
• B.Output custom metrics to Stackdriver from the game servers, and create a Dashboard in Stackdriver Monitoring Console to view them.
• C.Schedule BigQuery load jobs to ingest analytics files uploaded to Cloud Storage every ten minutes, and visualize the results in Google Data Studio.
• D.Insert the KPIs into Cloud Datastore entities, and run ad hoc analysis and visualizations of them in Cloud Datalab.

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