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NEW QUESTION 31
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?
- A. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 0.5.
- B. 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.
- C. Enable VPC Flow Logs on the production VPC network frontend and backend subnets only with a sample volume scale of 1.0.
- D. Enable VPC Flow Logs on the testing and production VPC network frontend and backend subnets with a volume scale of 0.5. Apply changes in testing before production.
Answer: B
NEW QUESTION 32
You are running an experiment to see whether your users like a new feature of a web application. Shortly after deploying the feature as a canary release, you receive a spike in the number of 500 errors sent to users, and your monitoring reports show increased latency. You want to quickly minimize the negative impact on users. What should you do first?
- A. Roll back the experimental canary release.
- B. Trace the origin of 500 errors and the root cause of increased latency.
- C. Start monitoring latency, traffic, errors, and saturation.
- D. Record data for the postmortem document of the incident.
Answer: A
NEW QUESTION 33
You support a high-traffic web application and want to ensure that the home page loads in a timely manner. As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?
- A. Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.
- B. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.
- C. Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.
- D. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
Answer: B
NEW QUESTION 34
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