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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Designing cloud-native applications	- Application architecture design - Scalability and resiliency patterns - Microservices design principles
Topic 2: Deploying applications	- Release management strategies - CI/CD pipelines - Containerization and deployment (Cloud Run, GKE)
Topic 3: Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Topic 4: Building and testing applications	- Debugging and troubleshooting applications - Application development on Google Cloud - Unit and integration testing strategies
Topic 5: Ensuring application performance and reliability	- Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization - Fault tolerance and incident response

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Google Certified Professional - Cloud Developer Sample Questions (Q383-Q388):

NEW QUESTION # 383
You have an ecommerce application hosted in Google Kubernetes Engine (GKE) that receives external requests and forwards them to third-party APIs external to Google Cloud. The third-party APIs are responsible for credit card processing, shipping, and inventory management using the process shown in the diagram.
Your customers are reporting that the ecommerce application is running slowly at unpredictable times. The application doesn't report any metrics You need to determine the cause of the inconsistent performance What should you do?

A. Install the OpenTelemetry library for your respective language, and instrument your application.
B. Install the Ops Agent inside your container and configure it to gather application metrics.
C. Modify your application to read and forward the x-Cloud-Trace-context header when it calls the downstream services D Enable Managed Service for Prometheus on the GKE cluster to gather application metrics.

Answer: A

NEW QUESTION # 384
You manage a microservice-based ecommerce platform on Google Cloud that sends confirmation emails to a third-party email service provider using a Cloud Function. Your company just launched a marketing campaign, and some customers are reporting that they have not received order confirmation emails. You discover that the services triggering the Cloud Function are receiving HTTP 500 errors. You need to change the way emails are handled to minimize email loss. What should you do?

A. Configure the sender application to retry the execution of the Cloud Function every one second if a request fails.
B. Configure the sender application to write emails to Memorystore and then trigger the Cloud Function. When the function is triggered, it reads the email details from Memorystore and sends them to the email service.
C. Configure the sender application to publish the outgoing emails in a message to a Pub/Sub topic.
Update the Cloud Function configuration to consume the Pub/Sub queue.
D. Increase the Cloud Function's timeout to nine minutes.

Answer: C

Explanation:
This is a robust and scalable approach. By decoupling the email sending process using Pub/Sub, you introduce a queueing mechanism. This ensures that even if the Cloud Function encounters an issue, the email messages are not lost but remain in the queue. Additionally, Pub/Sub can handle high throughput and provides retry mechanisms.

NEW QUESTION # 385
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. 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.
D. 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.

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 # 386
You are developing a flower ordering application. Currently you have three microservices:
- Order Service (receives the orders)
- Order Fulfillment Service (processes the orders)
- Notification Service (notifies the customer when the order is filled) You need to determine how the services will communicate with each other. You want incoming orders to be processed quickly and you need to collect order information for fulfillment. You also want to make sure orders are not lost between your services and are able to communicate asynchronously. How should the requests be processed?

Answer: C

Explanation:
For efficient and reliable communication in a flower ordering application with microservices, the best approach is "Order request -> Order Service -> Pub/Sub queue -> Order Fulfillment Service
-> Firestore Database -> Pub/Sub queue -> Notification Service," ensuring quick processing and asynchronous communication without data loss.
https://cloud.google.com/pubsub/docs/overview

NEW QUESTION # 387
You manage an ecommerce application that processes purchases from customers who can subsequently cancel or change those purchases. You discover that order volumes are highly variable and the backend order-processing system can only process one request at a time. You want to ensure seamless performance for customers regardless of usage volume. It is crucial that customers' order update requests are performed in the sequence in which they were generated. What should you do?

A. Use a Pub/Sub subscriber in pull mode and use a data store to manage ordering.
B. Send the purchase and change requests as REST requests to the backend.
C. Send the purchase and change requests over WebSockets to the backend.
D. Use a Pub/Sub subscriber in push mode and use a data store to manage ordering.

Answer: A

Explanation:
https://cloud.google.com/pubsub/docs/pull

NEW QUESTION # 388
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