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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Configure logging and tracing 2. Optimize application performance 3. Analyze metrics and alerts
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design resilient and scalable application architectures 2. Design secure applications 3. Choose storage options for application data
Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Build application artifacts 3. Perform application testing
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Integrate with Google Cloud APIs 2. Implement authentication and authorization 3. Use messaging and event-driven services
Deploy applications	- Deploy applications to Google Cloud 1. Manage application rollout strategies 2. Deploy applications to Google Kubernetes Engine 3. Deploy applications using Cloud Run

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Google Certified Professional - Cloud Developer Sample Questions (Q320-Q325):

NEW QUESTION # 320
You are developing an internal application that will allow employees to organize community events within your company. You deployed your application on a single Compute Engine instance. Your company uses Google Workspace (formerly G Suite), and you need to ensure that the company employees can authenticate to the application from anywhere. What should you do?

A. Set up a VPN tunnel between your company network and your instance's VPC location on Google Cloud. Configure the required firewall rules and routing information to both the on-premises and Google Cloud networks.
B. Add an HTTP(S) load balancer in front of the instance, and set up Identity-Aware Proxy (IAP). Configure the IAP settings to allow your company domain to access the website.
C. Add a public IP address to your instance, and restrict access to the instance using firewall rules. Allow your company's proxy as the only source IP address.
D. Add a public IP address to your instance, and allow traffic from the internet. Generate a random hash, and create a subdomain that includes this hash and points to your instance. Distribute this DNS address to your company's employees.

Answer: B

Explanation:
https://cloud.google.com/blog/topics/developers-practitioners/control-access-your-web-sites-identity-aware-proxy

NEW QUESTION # 321
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

A. Perform stale reads using read-write transactions.
B. Perform strong reads using single-read methods.
C. Perform stale reads using single-read methods.
D. Perform Read-Only transactions.

Answer: C

Explanation:
https://cloud.google.com/spanner/docs/reads
A stale read is read at a timestamp in the past. If your application is latency sensitive but tolerant of stale data, then stale reads can provide performance benefits.

NEW QUESTION # 322

A. It is supposed to write an object in a Cloud Storage bucket owned by project B. However, the write call is failing with the error "403 Forbidden".
What should you do to correct the problem?
B. Grant your user account the roles/iam.serviceAccountUser role for the service-PROJECTA@gcf-admin- robot.iam.gserviceaccount.com service account.
C. Grant the service-PROJECTA@gcf-admin-robot.iam.gserviceaccount.com service account the roles/ storage.objectCreator role for the Cloud Storage bucket.
D. Enable the Cloud Storage API in project B.
E. Grant your user account the roles/storage.objectCreator role for the Cloud Storage bucket.

Answer: B

NEW QUESTION # 323
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. You want to expose this application publicly behind a Cloud Load Balancing HTTP(S) load balancer. What should you do?

A. Configure a GKE Ingress resource.
B. Configure a GKE Ingress resource with type: LoadBalancer.
C. Configure a GKE Service resource with type: LoadBalancer.
D. Configure a GKE Service resource.

Answer: A

Explanation:
Reference:
https://cloud.google.com/kubernetes-engine/docs/concepts/ingress

NEW QUESTION # 324
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 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.
C. 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.
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: C

NEW QUESTION # 325
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