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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q263-Q268):

NEW QUESTION # 263
Your company has deployed a new API to a Compute Engine instance. During testing, the API is not behaving as expected. You want to monitor the application over 12 hours to diagnose the problem within the application code without redeploying the application. Which tool should you use?

A. Cloud Monitoring
B. Cloud Trace
C. Cloud Debugger snapshots
D. Cloud Debugger logpoints

Answer: D

Explanation:
https://cloud.google.com/debugger/docs/using/logpoints
Logpoints allow you to inject logging into running services without restarting or interfering with the normal function of the service

NEW QUESTION # 264
You are supporting a business-critical application in production deployed on Cloud Run. The application is reporting HTTP 500 errors that are affecting the usability of the application. You want to be alerted when the number of errors exceeds 15% of the requests within a specific time window. What should you do?

A. Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Scheduler to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold
B. Create a Cloud Function that consumes the Cloud Monitoring API Use Cloud Composer to trigger the Cloud Function daily and alert you if the number of errors is above the defined threshold.
C. Navigate to the Cloud Run page in the Google Cloud console, and select the service from the services list.
Use the Metrics tab to visualize the number of errors for that revision and refresh the page daily.
D. Create an alerting policy in Cloud Monitoring that alerts you if the number of errors is above the defined threshold.

Answer: B

NEW QUESTION # 265
You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

A. Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming
B. Configure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.
C. Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.
D. Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

Answer: B

Explanation:
convention

NEW QUESTION # 266
You work for an environmental agency in a large city. You are developing a new monitoring platform that will capture air quality readings from thousands of locations in the city. You want the air quality reading devices to send and receive their data payload to the newly created RESTful backend systems every minute by using a curl command. The backend systems are running in a single cloud region and are using Premium Tier networking. You need to connect the devices to the backend while minimizing the daily average latency, measured by using Time to First Byte (TTFB). How should you build this service?

A. 1. Run the air quality devices' backends in a managed instance group.
2. Create an external passthrough Network Load Balancer to connect to the managed instance group.
3. Configure a connection between the air quality devices and the Network Load Balancer.
B. 1 Run the air quality devices' backends in a managed instance group.
2. Create an external Application Load Balancer, and connect it to the managed instance group.
3. Configure a connection between the air quality devices and the Application Load Balancer.
C. 1. Run the air quality devices' backends on Compute Engine VMs.
2. Create a weighted round robin routing policy on Cloud DNS.
3. Configure the air quality devices to connect by using this DNS.
D. 1. Run the air quality devices' backends on Compute Engine VMs.
2. Create a round robin routing policy on Cloud DNS for these Compute Engine VMs.
3. Configure the air quality devices to connect by using this DNS.

Answer: B

Explanation:
https://web.dev/articles/optimize-ttfb

NEW QUESTION # 267
Which of the following gestures should be avoided when welcoming a customer? (Choose two.)

A. Making eye contact
B. Opening hands
C. Fidgeting
D. Folding arms
E. Standing straight

Answer: C,D

NEW QUESTION # 268
......

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