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Download Google Certified Professional - Cloud Developer Exam Dumps

NEW QUESTION 26
You are monitoring a web application that is written in Go and deployed in Google Kubernetes Engine. You notice an increase in CPU and memory utilization. You need to determine which source code is consuming the most CPU and memory resources. What should you do?

• A. Create a Cloud Logging query that gathers the web application's logs. Write a Python script that calculates the difference between the timestamps from the beginning and the end of the application's longest functions to identity time-intensive functions.
• B. Import the Cloud Profiler package into your application, and initialize the Profiler agent. Review the generated flame graph in the Google Cloud console to identify time-intensive functions.
• C. Import OpenTelemetry and Trace export packages into your application, and create the trace provider.
  Review the latency data for your application on the Trace overview page, and identify where bottlenecks are occurring.
• D. Download, install, and start the Snapshot Debugger agent in your VM. Take debug snapshots of the functions that take the longest time. Review the call stack frame, and identify the local variables at that level in the stack.

Answer: B

NEW QUESTION 27
You have an application written in Python running in production on Cloud Run. Your application needs to read/write data stored in a Cloud Storage bucket in the same project. You want to grant access to your application following the principle of least privilege. What should you do?

• A. Use the default service account linked to the Cloud Run revision in production.
• B. Create a user-managed service account with a custom Identity and Access Management (IAM) role.
• C. Create a user-managed service account with the Project Editor Identity and Access Management (IAM) role.
• D. Create a user-managed service account with the Storage Admin Identity and Access Management (IAM) role.

Answer: B

Explanation:
Explanation
https://cloud.google.com/iam/docs/understanding-roles#storage.admin

NEW QUESTION 28
You want to re-architect a monolithic application so that it follows a microservices model. You want to accomplish this efficiently while minimizing the impact of this change to the business.
Which approach should you take?

• A. Deploy the application to Compute Engine and turn on autoscaling.
• B. Refactor the monolithic application with appropriate microservices in a single effort and deploy it.
• C. Build a new application with the appropriate microservices separate from the monolith and replace it when
• D. Replace the application's features with appropriate microservices in phases.

Answer: B

Explanation:
it is complete.

NEW QUESTION 29
You manage a microservices application on Google Kubernetes Engine (GKE) using Istio. You secure the communication channels between your microservices by implementing an Istio AuthorizationPolicy, a Kubernetes NetworkPolicy, and mTLS on your GKE cluster. You discover that HTTP requests between two Pods to specific URLs fail, while other requests to other URLs succeed. What is the cause of the connection issue?

• A. The cluster has mTLS configured in permissive mode, but the Pod's sidecar proxy is sending unencrypted traffic in plain text.
• B. The Authorization Policy of your cluster is blocking HTTP requests for specific paths within your application.
• C. A Kubernetes NetworkPolicy resource is blocking HTTP traffic between the Pods.
• D. The Pod initiating the HTTP requests is attempting to connect to the target Pod via an incorrect TCP port.

Answer: B

NEW QUESTION 30
You manage your company's ecommerce platform's payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly. What should you do?

• A. Store the logs in Cloud Logging as custom logs with a custom retention period.
• B. Store the logs in a Cloud Storage bucket with bucket lock turned on.
• C. Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.
• D. Store the logs in a Cloud Storage bucket with a 3-year retention period.

Answer: A

Explanation:
Explanation
https://cloud.google.com/logging/docs/buckets#custom-retention

NEW QUESTION 31
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