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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Certified Professional Cloud Developer Exam
Exam Number:Professional Cloud Developer
Exam Duration:120 minutes
Related Certifications:Google Cloud Certified - Professional Cloud Architect
Google Cloud Certified - Associate Cloud Engineer
Available Languages:English, Japanese
Real Exam Qty:Approximately 50–60 questions
Exam Price:$200 USD (may vary by region and taxes)
Exam Format:Multiple select, Multiple choice, Case study
Certificate Validity Period:2 years
Recommended Training:Google Cloud Skills Boost - Professional Cloud Developer
Official Google Cloud Certification Training Path
Exam Registration:Official Google Cloud Certification Registration
Kryterion Webassessor Portal
Sample Questions:Google Professional-Cloud-Developer Sample Questions
Exam Way:Online proctored exam (remote) or onsite test center via Kryterion Webassessor
Pre Condition:No formal prerequisites required. Recommended: 3+ years industry experience including 1+ year designing and managing solutions on Google Cloud.
Official Syllabus URL:https://cloud.google.com/certification/cloud-developer

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Google Professional-Cloud-Developer exam is part of the Google Cloud Certification program, which offers certification paths for professionals seeking to demonstrate their expertise in cloud computing. The program includes various certification exams, including the Professional Cloud Architect, Professional Data Engineer, and Professional Cloud Security Engineer exams. The Professional-Cloud-Developer Exam is specifically designed for developers who want to demonstrate their ability to develop cloud-native applications on GCP.

Google Certified Professional - Cloud Developer Sample Questions (Q174-Q179):

NEW QUESTION # 174
One of your deployed applications in Google Kubernetes Engine (GKE) is having intermittent performance issues. Your team uses a third-party logging solution. You want to install this solution on each node in your GKE cluster so you can view the logs. What should you do?

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/daemonset#usage_patterns DaemonSets are useful for deploying ongoing background tasks that you need to run on all or certain nodes, and which do not require user intervention. Examples of such tasks include storage daemons like ceph, log collection daemons like fluent-bit, and node monitoring daemons like collectd.


NEW QUESTION # 175
Your team recently deployed an application on Google Kubernetes Engine (GKE). You are monitoring your application and want to be alerted when the average memory consumption of your containers is under 20% or above 80% How should you configure the alerts?

Answer: B


NEW QUESTION # 176
You are parsing a log file that contains three columns: a timestamp, an account number (a string), and a transaction amount (a number). You want to calculate the sum of all transaction amounts for each unique account number efficiently.
Which data structure should you use?

Answer: A


NEW QUESTION # 177
You want to notify on-call engineers about a service degradation in production while minimizing development time.
What should you do?

Answer: B

Explanation:
Error Reporting is not about service degradation, more, Error Reporting uses Monitoring to send alerts.
https://cloud.google.com/error-reporting/docs/notifications


NEW QUESTION # 178
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible.
What should you do?

Answer: A

Explanation:
https://cloud.google.com/compute/docs/api/how-tos/authorization
If you run applications on your Compute Engine instances, application default credentials can get credentials through built-in service accounts.


NEW QUESTION # 179
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