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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q177-Q182):

NEW QUESTION # 177
Your company uses Cloud Logging to manage large volumes of log dat
a. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing. What should you do?

A. Create a Cloud Logging log export to Cloud Storage.
B. Create a Cloud Logging log export to Pub/Sub.
C. Create a Cloud Logging log export to BigQuery.
D. Create a Cloud Function to read Cloud Logging log entries and send them to the third-party application.

Answer: B

NEW QUESTION # 178
You are developing an application that will allow users to read and post comments on news articles. You want to configure your application to store and display user-submitted comments using Firestore. How should you design the schema to support an unknown number of comments and articles?

A. Store each comment in a subcollection of the article.
B. Store each comment in a document, and add the comment's key to an array property on the user profile.
C. Add each comment to an array property on the article.
D. Store each comment in a document, and add the comment's key to an array property on the article.

Answer: B

NEW QUESTION # 179
You are a developer at a large organization. You have an application written in Go running in a production Google Kubernetes Engine (GKE) cluster. You need to add a new feature that requires access to BigQuery.
You want to grant BigQuery access to your GKE cluster following Google-recommended best practices. What should you do?

A. Create a Google service account with BigQuery access. Add the JSON key to Secret Manager, and use the Go client library to access the JSON key.
B. Create a Google service account with BigQuery access. Add the Google service account JSON key to Secret Manager, and use an init container to access the secret for the application to use.
C. Create a Google service account and a Kubernetes service account. Configure Workload Identity on the GKE cluster, and reference the Kubernetes service account on the application Deployment.
D. Create a Google service account with BigQuery access. Add the Google service account JSON key as a Kubernetes secret, and configure the application to use this secret.

Answer: C

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity#what_is Applications running on GKE might need access to Google Cloud APIs such as Compute Engine API, BigQuery Storage API, or Machine Learning APIs.
Workload Identity allows a Kubernetes service account in your GKE cluster to act as an IAM service account.
Pods that use the configured Kubernetes service account automatically authenticate as the IAM service account when accessing Google Cloud APIs. Using Workload Identity allows you to assign distinct, fine-grained identities and authorization for each application in your cluster.

NEW QUESTION # 180
You are developing a corporate tool on Compute Engine for the finance department, which needs to authenticate users and verify that they are in the finance department. All company employees use G Suite.
What should you do?

A. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Issue client-side certificates to everybody in the finance team and verify the certificates in the application.
B. Enable Cloud Identity-Aware Proxy on the HTTP(s) load balancer and restrict access to a Google Group containing users in the finance department. Verify the provided JSON Web Token within the application.
C. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Issue client side certificates to everybody in the finance team and verify the certificates in the application.
D. Configure Cloud Armor Security Policies to restrict access to only corporate IP address ranges. Verify the provided JSON Web Token within the application.

Answer: D

NEW QUESTION # 181
You are developing an application using different microservices that must remain internal to the cluster. You want the ability to configure each microservice with a specific number of replicas.
You also want the ability to address a specific microservice from any other microservice in a uniform way, regardless of the number of replicas the microservice scales to. You plan to implement this solution on Google Kubernetes Engine. What should you do?

A. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using a Service, and use the Service DNS name to address it from other microservices within the cluster.
B. Deploy each microservice as a Pod. Expose the Pod in the cluster using an Ingress, and use the Ingress IP address to address the Pod from other microservices within the cluster.
C. Deploy each microservice as a Deployment. Expose the Deployment in the cluster using an Ingress, and use the Ingress IP address to address the Deployment from other microservices within the cluster.
D. Deploy each microservice as a Pod. Expose the Pod in the cluster using a Service, and use the Service DNS name to address the microservice from other microservices within the cluster.

Answer: A

Explanation:
We need to have deployment descriptor with apiversion, kind, metadata, spec details.
We can mention the replica set inside spec.
All pods must communicate with each other using service DNS names -> DNS is built in for GKE cluster.

NEW QUESTION # 182
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