Your company has decided to make a major revision of their API in order to create better experiences for their developers. They need to keep the old version of the API available and deployable, while allowing new customers and testers to try out the new API. They want to keep the same SSL and DNS records in place to serve both APIs. What should they do?
A. Configure a new load balancer for the new version of the API.
B. Reconfigure old clients to use a new endpoint for the new API.
C. Have the old API forward traffic to the new API based on the path.
D. Use separate backend pools for each API path behind the load balancer.
Your operations team currently stores 10 TB of data m an object storage service from a third-party provider. They want to move this data to a Cloud Storage bucket as quickly as possible, following Google-recommended practices. They want to minimize the cost of this data migration. When approach should they use?
A. Use the gsutil mv command lo move the data
B. Use the Storage Transfer Service to move the data
C. Download the data to a Transfer Appliance and ship it to Google
D. Download the data to the on-premises data center and upload it to the Cloud Storage bucket
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
A. Google BigQuery
B. Google Cloud SQL
C. Google Cloud Bigtable
D. Google Cloud Storage
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.
You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?
A. Enable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics
B. Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster
C. Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold
D. Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?
A. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
B. Use Spinnaker to deploy builds to production and run tests on production deployments.
C. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
D. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing. After testing, tag the repository for production and deploy that to the production environment.
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?
A. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server. 2.Stop the on-premises application. 3.Create a mysqldump of the on-premises MySQL server. 4.Upload the dump to a Cloud Storage bucket. 5.Import the dump into Cloud SQL. 6.Modify the source code of the application to write queries to both databases and read from its local database. 7.Start the Compute Engine application. 8.Stop the on-premises application.
B. 1. Set up Cloud SQL proxy and MySQL proxy. 2.Create a mysqldump of the on-premises MySQL server. 3.Upload the dump to a Cloud Storage bucket. 4.Import the dump into Cloud SQL. 5.Stop the on-premises application. 6.Start the Compute Engine application.
C. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server. 2.Stop the on-premises application. 3.Start the Compute Engine application, configured to read and write to the on-premises MySQL server. 4.Create the replication configuration in Cloud SQL. 5.Configure the source database server to accept connections from the Cloud SQL replica. 6.Finalize the Cloud SQL replica configuration. 7.When replication has been completed, stop the Compute Engine application. 8.Promote the Cloud SQL replica to a standalone instance. 9.Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
D. 1. Stop the on-premises application. 2.Create a mysqldump of the on-premises MySQL server. 3.Upload the dump to a Cloud Storage bucket. 4.Import the dump into Cloud SQL. 5.Start the application on Compute Engine.
You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket. You want to optimize ongoing Cloud Storage spend. What should you do?
A. Write a lifecycle management rule in XML and push it to the bucket with gsutil.
B. Write a lifecycle management rule in JSON and push it to the bucket with gsutil.
C. Schedule a cron script using gsutil is-lr gs://backups/** to find and remove items older than 90 days.
D. Schedule a cron script using gsutil ls-1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.
You are working in a highly secured environment where public Internet access from the Compute Engine VMs is not allowed. You do not yet have a VPN connection to access an on-premises file server. You need to install specific software on a Compute Engine instance. How should you install the software?
A. Upload the required installation files to Cloud Storage. Configure the VM on a subnet with a Private Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to the VM using gsutil.
B. Upload the required installation files to Cloud Storage and use firewall rules to block all traffic except the IP address range for Cloud Storage. Download the files to the VM using gsutil.
C. Upload the required installation files to Cloud Source Repositories. Configure the VM on a subnet with a Private Google Access subnet. Assign only an internal IP address to the VM. Download the installation files to the VM using gcloud.
D. Upload the required installation files to Cloud Source Repositories and use firewall rules to block all traffic except the IP address range for Cloud Source Repositories. Download the files to the VM using gsutil.
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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