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Google Professional-Cloud-Developer certification exam is designed to test the knowledge and skills of individuals who develop and deploy applications in the Google Cloud Platform (GCP) environment. Professional-Cloud-Developer exam is a part of the Google Cloud Certification Program, which offers certifications for different roles in the cloud computing industry. The Professional-Cloud-Developer certification exam is intended for developers who have experience working with GCP and are proficient in at least one programming language.

Google Professional-Cloud-Developer certification exam is a challenging but rewarding credential that validates one’s expertise in developing cloud-native applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification is ideal for developers who work with Google Cloud technologies and want to demonstrate their skills to potential employers or clients. If you are interested in pursuing this certification, it is recommended that you have a solid understanding of cloud application development principles, containerization technologies, and best practices for building scalable and secure applications.

Google Professional-Cloud-Developer Certification Exam is an industry-recognized credential that validates the candidate's proficiency in developing and deploying cloud-native applications in the GCP environment. It is designed to evaluate the candidate's practical skills and knowledge, and it requires a good understanding of cloud computing concepts and GCP services. Candidates can prepare for the exam by using official study materials provided by Google, attending training courses, and gaining hands-on experience in developing applications using GCP services.

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Google Certified Professional - Cloud Developer Sample Questions (Q87-Q92):

NEW QUESTION # 87
For this question, refer to the HipLocal case study.
Which Google Cloud product addresses HipLocal's business requirements for service level indicators and objectives?

A. Cloud Trace
B. Cloud Logging
C. Cloud Profiler
D. Cloud Monitoring

Answer: D

Explanation:
https://cloud.google.com/stackdriver/docs/solutions/slo-monitoring#defn-sli

NEW QUESTION # 88
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 pull subscription per audit service instance to allow the services to share the messages.
B. Create one Pub/Sub topic per authentication service. Create one pull subscription per topic to be used by one audit service.
C. Create one Pub/Sub topic. Create one push subscription with the endpoint pointing to a load balancer in front of the audit services.
D. Create one Pub/Sub topic per authentication service. Create one push subscription per topic, with the endpoint pointing to one audit service.
E. Create one Pub/Sub topic. Create one pull subscription to allow the audit services to share the messages.

Answer: E

Explanation:
https://cloud.google.com/pubsub/docs/subscriber "Multiple subscribers can make pull calls to the same
"shared" subscription. Each subscriber will receive a subset of the messages."

NEW QUESTION # 89
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: B

NEW QUESTION # 90
Your company has created an application that uploads a report to a Cloud Storage bucket. When the report is uploaded to the bucket, you want to publish a message to a Cloud Pub/Sub topic. You want to implement a solution that will take a small amount to effort to implement.
What should you do?

A. Configure the Cloud Storage bucket to trigger Cloud Pub/Sub notifications when objects are modified.
B. Create an App Engine application to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.
C. Create an application deployed in a Google Kubernetes Engine cluster to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.
D. Create a Cloud Function that is triggered by the Cloud Storage bucket. In the Cloud Function, publish a message to the Cloud Pub/Sub topic.

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/storage/docs/pubsub-notifications

NEW QUESTION # 91
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. Modify your application to read and forward the x-Cloud-Trace-context header when it calls the
C. Install the Ops Agent inside your container and configure it to gather application metrics.

Answer: A

Explanation:
downstream services
D Enable Managed Service for Prometheus on the GKE cluster to gather application metrics.

NEW QUESTION # 92
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