Professional Cloud Architect Exam
Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords. What authentication strategy should they use?
Use G Suite Password Sync to replicate passwords into Google
Federate authentication via SAML 2.0 to the existing Identity Provider
Provision users in Google using the Google Cloud Directory Sync tool
Ask users to set their Google password to match their corporate password
Your company has successfully migrated to the cloud and wants to analyze their data stream to optimize operations. They do not have any existing code for this analysis, so they are exploring all their options. These options include a mix of batch and stream processing, as they are running some hourly jobs and live- processing some data as it comes in. Which technology should they use for this?
Google Cloud Dataproc
Google Cloud Dataflow
Google Container Engine with Bigtable
Google Compute Engine with Google BigQuery
Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update. What strategy should you take?
Work with your ISP to diagnose the problem
Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application
Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment
Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and Logging to diagnose the problem
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?
In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux.
Shut down the virtual machine, use the Cloud Platform Console to increase the persistent disk size, then restart the virtual machine
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
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
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
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?
Create a tokenizer service and store only tokenized data
Create separate projects that only process credit card data
Create separate subnetworks and isolate the components that process credit card data
Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data
Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor
Unlock All Questions
You are viewing the free preview. Purchase a plan to access all questions, answers, and detailed explanations.
