Google passleader pdf Professional-cloud-devops-engineer Study Guide by Keanu q32 vce pdf

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Exam Name:	Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Exam Code:	Professional-Cloud-DevOps-Engineer Dumps
Vendor:	Google	Certification:	Cloud DevOps Engineer
Questions:	201 Q&A's	Shared By:	keanu

Question 24

You support a Node.js application running on Google Kubernetes Engine (GKE) in production. The application makes several HTTP requests to dependent applications. You want to anticipate which dependent applications might cause performance issues. What should you do?

Options:

Instrument all applications with Stackdriver Profiler.

Instrument all applications with Stackdriver Trace and review inter-service HTTP requests.

Use Stackdriver Debugger to review the execution of logic within each application to instrument all applications.

Modify the Node.js application to log HTTP request and response times to dependent applications. Use Stackdriver Logging to find dependent applications that are performing poorly.

Discussion

Question 25

You are running a real-time gaming application on Compute Engine that has a production and testing environment. Each environment has their own Virtual Private Cloud (VPC) network. The application frontend and backend servers are located on different subnets in the environment's VPC. You suspect there is a malicious process communicating intermittently in your production frontend servers. You want to ensure that network traffic is captured for analysis. What should you do?

Options:

Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.

Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.

Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes intesting before production.

Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 1.0. Apply changes in testing before production.

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Question 26

You need to define SLOs for a high-traffic web application. Customers are currently happy with the application performance and availability. Based on current measurement, the 90th percentile Of latency is 160 ms and the 95th

percentile of latency is 300 ms over a 28-day window. What latency SLO should you publish?

Options:

90th percentile - 150 ms95th percentile - 290 ms

90th percentile - 160 ms95th percentile - 300 ms

90th percentile - 190 ms95th percentile - 330 ms

90th percentile - 300 ms95th percentile - 450 ms

Discussion

Question 27

You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

Options:

Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.

Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.

Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.