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google PROFESSIONAL_CLOUD_ARCHITECT

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Exam contains 279 questions

Page 7 of 47
Question 37 🔥

As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load.They want to ensure that:* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day* Their administrators are notified automatically when their application reports errors.* They can filter their aggregated logs down in order to debug one piece of the application across many hostsWhich Google StackDriver features should they use?

Which database solution meets these requirements?
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Question 38 🔥

For this question, refer to the Dress4Win case study. To be legally compliant during an audit, Dress4Win must be able to give insights in all administrative actions that modify the configuration or metadata of resources on Google Cloud.What should you do?

Which database solution meets these requirements?
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Question 39 🔥

A news feed web service has the following code running on Google App Engine. During peak load, users report that they can see news articles they already viewed.What is the most likely cause of this problem?

Which database solution meets these requirements?
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Question 40 🔥

Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

Which database solution meets these requirements?
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Question 41 🔥

For this question, refer to the Mountkirk Games case study. Mountkirk Games wants you to design a way to test the analytics platform's resilience to changes in mobile network latency. What should you do?

Which database solution meets these requirements?
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Question 42 🔥

For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from itsEuropean customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage andBigQuery. What should you do?

Which database solution meets these requirements?
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