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The Google Professional-Cloud-Developer Exam is part of the Google Cloud Certification program, which offers a range of certifications for IT professionals seeking to validate their skills and experience in working with GCP. The Professional-Cloud-Developer certification is one of the most popular certifications in the program and is recognized by employers worldwide as a mark of expertise in developing cloud-native 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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To become a Google Certified Professional - Cloud Developer, candidates must possess a thorough understanding of cloud computing concepts, such as distributed systems, service-oriented architecture, and containerization. Professional-Cloud-Developer Exam covers a wide range of topics, including GCP services such as App Engine, Compute Engine, Cloud Storage, Cloud SQL, and Cloud Pub/Sub, as well as developing cloud-native solutions using GCP tools and technologies such as Kubernetes, Cloud Functions, and Cloud Run. Google Certified Professional - Cloud Developer certification is suitable for developers who want to validate their skills in developing cloud-native applications on GCP and demonstrate their expertise in cloud computing to potential employers.

Google Certified Professional - Cloud Developer Sample Questions (Q146-Q151):

NEW QUESTION # 146
Your team is building an application for a financial institution. The application's frontend runs on Compute Engine, and the data resides in Cloud SQL and one Cloud Storage bucket. The application will collect data containing PII, which will be stored in the Cloud SQL database and the Cloud Storage bucket. You need to secure the PII data. What should you do?

A. 1) Configure a private IP address for Cloud SQL
2) Use VPC-SC to create a service perimeter
3) Add the Cloud SQL database and the Cloud Storage bucket to different service perimeters
B. 1) Create the relevant firewall rules to allow only the frontend to communicate with the Cloud SQL database
2) Enable private access to allow the frontend to access the Cloud Storage bucket privately
C. 1) Create the relevant firewall rules to allow only the frontend to communicate with the Cloud SQL database
2) Using IAM, allow only the frontend service account to access the Cloud Storage bucket
D. 1) Configure a private IP address for Cloud SQL
2) Use VPC-SC to create a service perimeter
3) Add the Cloud SQL database and the Cloud Storage bucket to the same service perimeter

Answer: D

NEW QUESTION # 147
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least 1 replica of the new version and maintain the previous replicas until the new replica is healthy.
Which change should you make to the GKE Deployment object shown below?

A. Set the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.
B. Set the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.
C. Set the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.
D. Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.

Answer: D

NEW QUESTION # 148
Your data is stored in Cloud Storage buckets. Fellow developers have reported that data downloaded from Cloud Storage is resulting in slow API performance. You want to research the issue to provide details to the GCP support team.
Which command should you run?

A. gsutil perfdiag -o output.json gs://my-bucket
B. gsutil test -o output.json gs://my-bucket
C. gcloud services test -o output.json gs://my-bucket
D. gcloud compute scp example-instance:~/test-data -o output.json gs://my-bucket

Answer: A

Explanation:
https://cloud.google.com/storage/docs/gsutil/commands/perfdiag#providing-diagnostic-output-to- cloud-storage-team

NEW QUESTION # 149
You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected.
Which deployment strategy should you use?

A. Recreate deployment
B. Rolling deployment
C. Blue/green deployment
D. Canary deployment

Answer: C

Explanation:
Reference:
https://thenewstack.io/deployment-strategies/

NEW QUESTION # 150
Your API backend is running on multiple cloud providers. You want to generate reports for the network latency of your API.
Which two steps should you take? (Choose two.)

A. Use Fluentd agent to gather data.
B. Use Stackdriver Trace to generate reports.
C. Use Stackdriver Profiler to generate report.
D. Use Zipkin collector to gather data.
E. Use Stackdriver Debugger to generate report.

Answer: B,D

Explanation:
https://cloud.google.com/trace/docs/zipkin
"receive traces from Zipkin clients and forward those traces to Cloud Trace for analysis."
https://cloud.google.com/trace/docs/quickstart#analysis_reports_window

NEW QUESTION # 151
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