Your company has a Google Cloud resource hierarchy with folders for production test and development Your cyber security team needs to review your company's Google Cloud security posture to accelerate security issue identification and resolution You need to centralize the logs generated by Google Cloud services from all projects only inside your production folder to allow for alerting and near-real time analysis. What should you do?

• A.Enable the Workflows API and route all the logs to Cloud Logging
• B.Create a central Cloud Monitoring workspace and attach all related projects
• C.Create an aggregated log sink associated with the production folder that uses a Pub Sub topic as the destination
• D.Create an aggregated log sink associated with the production folder that uses a Cloud Logging bucket as the destination

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Your applications performance in Google Cloud has degraded since the last release You suspect that downstream dependencies might be causing some requests to take longer to complete You need to investigate the issue with your application to determine the cause What should you do?

• A.Configure Error Reporting in your application
• B.Configure Google Cloud Managed Service for Prometheus in your application
• C.Configure Cloud Profiler in your application
• D.Configure Cloud Trace in your application

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Your team is designing a new application for deployment both inside and outside Google Cloud Platform (GCP). You need to collect detailed metrics such as system resource utilization. You want to use centralized GCP services while minimizing the amount of work required to set up this collection system. What should you do?

• A.Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.
• B.Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.
• C.Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.
• D.Install an Application Performance Monitoring (APM) tool in both locations, and configure an export to a central data storage location for analysis.

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You support an application that stores product information in cached memory. For every cache miss, an entry is logged in Stackdriver Logging. You want to visualize how often a cache miss happens over time. What should you do?

• A.Link Stackdriver Logging as a source in Google Data Studio. Filler (he logs on the cache misses.
• B.Configure Stackdriver Profiler to identify and visualize when the cache misses occur based on the logs.
• C.Create a logs-based metric in Stackdriver Logging and a dashboard for that metric in Stackdriver Monitoring.
• D.Configure BigOuery as a sink for Stackdriver Logging. Create a scheduled query to filter the cache miss logs and write them to a separate table

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You are designing a new Google Cloud organization for a client. Your client is concerned with the risks associated with long-lived credentials created in Google Cloud. You need to design a solution to completely eliminate the risks associated with the use of JSON service account keys while minimizing operational overhead. What should you do?

• A.Use custom versions of predefined roles to exclude all iam.serviceAccountKeys. * service account role permissions.
• B.Apply the constraints/iam.disableserviceAccountKeycreation constraint to the organization.
• C.Apply the constraints/iam.disableServiceAccountKeyUp10ad constraint to the organization.
• D.Grant the roles/ iam.serviceAccountKeyAdmin IAM role to organization administrators only.

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