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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Cloud Certified Professional Cloud Developer Exam
Exam Number:	Professional Cloud Developer
Exam Duration:	120 minutes
Exam Price:	$200 USD (may vary by region and taxes)
Certificate Validity Period:	2 years
Exam Format:	Multiple select, Case study, Multiple choice
Real Exam Qty:	Approximately 50–60 questions
Available Languages:	Japanese, English
Related Certifications:	Google Cloud Certified - Associate Cloud Engineer Google Cloud Certified - Professional Cloud Architect
Recommended Training:	Official Google Cloud Certification Training Path Google Cloud Skills Boost - Professional Cloud Developer
Exam Registration:	Official Google Cloud Certification Registration Kryterion Webassessor Portal
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online proctored exam (remote) or onsite test center via Kryterion Webassessor
Pre Condition:	No formal prerequisites required. Recommended: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud.
Official Syllabus URL:	https://cloud.google.com/certification/cloud-developer

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As businesses worldwide continue to adopt cloud computing, the demand for experts who can develop cloud-based applications using various cloud services is experiencing an upward trend. It is in recognition of this need that Google Cloud offers the Professional-Cloud-Developer Exam - also known as Google Certified Professional - Cloud Developer.

Google Certified Professional - Cloud Developer Sample Questions (Q322-Q327):

NEW QUESTION # 322
You are monitoring a web application that is written in Go and deployed in Google Kubemetes Engine. You notice an increase in CPU and memory utilization. You need to determine which function is consuming the most CPU and memory resources. What should you do?

A. Add print commands to the application source code to log when each function is called, and redeploy the application.
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. 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.
D. 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 which functions cause the most latercy.

Answer: B

Explanation:
Google Cloud Profiler efficiently analyzes cloud-based applications, like those on GKE, using minimal code changes and flame graphs for in-depth insights into CPU and memory usage, thus identifying performance bottlenecks with ease. For more information, visit:
https://dev.to/billcchung/profiling-go-grpc-service-with-google-cloud-profiler-1k8l and
https://www.cncf.io/blog/2020/03/27/continuous-profiling-go-application-running-in-kubernetes/

NEW QUESTION # 323
Which of the following statements empathize with the customer or helps resolve a conflict? (Choose three.)

A. "Please control yourself. That is not how it works."
B. "I'm sorry to hear that."
C. "I can understand why you are upset."
D. "It is not possible to repair it by Monday."
E. "Calm down. You are being ridiculous."
F. "These devices are expensive, I cannot change that."
G. "You are right. I would be frustrated as well."

Answer: B,C,G

NEW QUESTION # 324
You need to redesign the ingestion of audit events from your authentication service to allow it to handle a large increase in traffic. Currently, the audit service and the authentication system run in the same Compute Engine virtual machine. You plan to use the following Google Cloud tools in the new architecture:
Multiple Compute Engine machines, each running an instance of the authentication service Multiple Compute Engine machines, each running an instance of the audit service Pub/Sub to send the events from the authentication services.
How should you set up the topics and subscriptions to ensure that the system can handle a large volume of messages and can scale efficiently?

A. Create one Pub/Sub topic. Create one push subscription with the endpoint pointing to a load balancer in front of the audit services.
B. Create one Pub/Sub topic. Create one pull subscription per audit service instance to allow the services to share the messages.
C. Create one Pub/Sub topic per authentication service. Create one pull subscription per topic to be used by one audit service.
D. Create one Pub/Sub topic. Create one pull subscription to allow the audit services to share the messages.
E. Create one Pub/Sub topic per authentication service. Create one push subscription per topic, with the endpoint pointing to one audit service.

Answer: C

NEW QUESTION # 325
Your team has created an application that is hosted on a Google Kubemetes Engine (GKE) cluster. You need to connect the application to a legacy REST service that is deployed in two GKE clusters in two different regions. You want to connect your application to the legacy service in a way that is resilient and requires the fewest number of steps. You also want to be able to run probe-based health checks on the legacy service on a separate port. How should you set up the connection? (Choose two.)

A. Configure the legacy service's firewall to allow health checks originating from the application.
B. Configure the legacy service's firewall to allow health checks originating from the sidecar proxy.
C. Configure the legacy service's firewall to allow health checks originating from the Traffic Director control plane.
D. Use Traffic Director with a sidecar proxy to connect the application to the service.
E. Set up a proxyless Traffic Director configuration for the application.

Answer: B,D

Explanation:
For connecting a GKE-hosted application to a legacy REST service across two regions, using Traffic Director with a sidecar proxy and configuring the legacy service's firewall for health checks offers a resilient and efficient solution.
https://thenewstack.io/google-traffic-director-and-the-l7-internal-load-balancer-intermingles-cloud- native-and-legacy-workloads/

NEW QUESTION # 326
You recently deployed a Go application on Google Kubernetes Engine (GKE). The operations team has noticed that the application's CPU usage is high even when there is low production traffic. The operations team has asked you to optimize your application's CPU resource consumption. You want to determine which Go functions consume the largest amount of CPU.
What should you do?

A. Deploy a Fluent Bit daemonset on the GKE cluster to log data in Cloud Logging. Analyze the logs to get insights into your application code's performance.
B. Connect to your GKE nodes using SSH. Run the top command on the shell to extract the CPU utilization of your application.
C. Modify your Go application to capture profiling data. Analyze the CPU metrics of your application in flame graphs in Profiler.
D. Create a custom dashboard in Cloud Monitoring to evaluate the CPU performance metrics of your application.

Answer: C

Explanation:
https://cloud.google.com/profiler/docs/about-profiler
Cloud Profiler is a statistical, low-overhead profiler that continuously gathers CPU usage and memory-allocation information from your production applications. It attributes that information to the source code that generated it, helping you identify the parts of your application that are consuming the most resources, and otherwise illuminating your applications performance characteristics.

NEW QUESTION # 327
......

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