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?

• A.Work with your ISP to diagnose the problem
• B.Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application
• C.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
• D.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

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TerramEarth plans to connect all 20 million vehicles in the field to the cloud. This increases the volume to
20 million 600 byte records a second for 40 TB an hour.
How should you design the data ingestion?

• A.Vehicles write data directly to GCS
• B.Vehicles stream data directly to Google BigQuery
• C.Vehicles continue to write data using the existing system (FTP)
• D.Vehicles write data directly to Google Cloud Pub/Sub

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For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?

• A.Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.
• B.Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
• C.Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.
• D.Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.

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You are implementing a single Cloud SQL MySQL second-generation database that contains business-critical transaction dat a. You want to ensure that the minimum amount of data is lost in case of catastrophic failure. Which two features should you implement? (Choose two.)

• A.Sharding
• B.Read replicas
• C.Binary logging
• D.Automated backups
• E.Semisynchronous replication

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For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win's sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

• A.Google Cloud Storage Coldline to store the data, and gsutil to access the data.
• B.Google Cloud Storage Nearline to store the data, and gsutil to access the data.
• C.Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
• D.BigQuery to store the data, and a web server cluster in a managed instance group to access the data.Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.

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