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Google Professional-Cloud-Developer Exam Overview:

Certification Vendor:	Google Cloud
Exam Name:	Google Certified Professional - Cloud Developer
Exam Number:	Professional-Cloud-Developer
Available Languages:	Japanese, English
Certificate Validity Period:	2 years
Related Certifications:	Google Cloud Certified - Professional Cloud DevOps Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Associate Cloud Engineer
Real Exam Qty:	50-60
Exam Format:	Multiple Choice, Multiple Select
Exam Price:	$200 USD
Exam Duration:	120 minutes
Sample Questions:	Google Professional-Cloud-Developer Sample Questions
Exam Way:	Online-proctored or onsite-proctored at a testing center
Pre Condition:	No formal prerequisites. Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Official Syllabus URL:	https://cloud.google.com/learn/certification/cloud-developer

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With Google Professional-Cloud-Developer, candidates can differentiate themselves from others who are not certified, which will increase their chances of employment and promote their career prospects. The significant advantage of the Google Cloud certification is that it authenticates your expertise in Google Cloud, enhancing your credibility with clients, colleagues, and management, attracting new job opportunities, and creating new career pathways.

Google Certified Professional - Cloud Developer Sample Questions (Q159-Q164):

NEW QUESTION # 159
Your team has created an application that is hosted on a Google Kubemetes Engine (GKE) cluster. You need to connect the application to a legacy REST service that is deployed in two GKE clusters in two different regions. You want to connect your application to the legacy service in a way that is resilient and requires the fewest number of steps. You also want to be able to run probe-based health checks on the legacy service on a separate port. How should you set up the connection? (Choose two.)

A. Configure the legacy service's firewall to allow health checks originating from the application.
B. Configure the legacy service's firewall to allow health checks originating from the sidecar proxy.
C. Set up a proxyless Traffic Director configuration for the application.
D. Configure the legacy service's firewall to allow health checks originating from the Traffic Director control plane.
E. Use Traffic Director with a sidecar proxy to connect the application to the service.

Answer: B,E

Explanation:
For connecting a GKE-hosted application to a legacy REST service across two regions, using Traffic Director with a sidecar proxy and configuring the legacy service's firewall for health checks offers a resilient and efficient solution.
https://thenewstack.io/google-traffic-director-and-the-l7-internal-load-balancer-intermingles-cloud- native-and-legacy-workloads/

NEW QUESTION # 160
You suspect that the issue Darla describes is a result of how she is using her iPhone. Which of the following is an empathetic and supportive closed question to ask?

A. Do you mind if I show you a couple of ways I learned to use the iPhone?
B. That is not the correct way of using the iPhone; do you need a demonstration?
C. Why didn't you review the iPhone User Guide before you tried to use your phone?
D. Do you realize how you are using the iPhone is causing your issue?

Answer: A

Explanation:
Explanation

NEW QUESTION # 161
HipLocal has connected their Hadoop infrastructure to GCP using Cloud Interconnect in order to query data stored on persistent disks.
Which IP strategy should they use?

A. Create an auto mode subnet.
B. Provision a single instance for NAT.
C. Create multiple peered VPCs.
D. Create manual subnets.

Answer: D

NEW QUESTION # 162
Your company's product team has a new requirement based on customer demand to autoscale your stateless and distributed service running in a Google Kubernetes Engine (GKE) duster. You want to find a solution that minimizes changes because this feature will go live in two weeks. What should you do?

A. Deploy a Vertical Pod Autoscaler, and scale based on a custom metric.
B. Deploy a Horizontal Pod Autoscaler, and scale based on a custom metric.
C. Deploy a Vertical Pod Autoscaler, and scale based on the CPU load.
D. Deploy a Horizontal Pod Autoscaler, and scale based on the CPU toad.

Answer: D

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/horizontalpodautoscaler The Horizontal Pod Autoscaler changes the shape of your Kubernetes workload by automatically increasing or decreasing the number of Pods in response to the workload's CPU or memory consumption, or in response to custom metrics reported from within Kubernetes or external metrics from sources outside of your cluster.

NEW QUESTION # 163
You recently developed a new service on Cloud Run. The new service authenticates using a custom service and then writes transactional information to a Cloud Spanner database. You need to verify that your application can support up to 5,000 read and 1,000 write transactions per second while identifying any bottlenecks that occur. Your test infrastructure must be able to autoscale. What should you do?

A. Create a Compute Engine instance that uses a LAMP stack image from the Marketplace, and use Apache Bench to generate load tests against the service. Analyze the results using Cloud Trace.
B. Create a Google Kubernetes Engine cluster running the Locust or JMeter images to dynamically generate load tests. Analyze the results using Cloud Trace.
C. Build a test harness to generate requests and deploy it to Cloud Run. Analyze the VPC Flow Logs using Cloud Logging.
D. Create a Cloud Task to generate a test load. Use Cloud Scheduler to run 60,000 Cloud Task transactions per minute for 10 minutes. Analyze the results using Cloud Monitoring.

Answer: B

Explanation:
https://cloud.google.com/architecture/distributed-load-testing-using-gke

NEW QUESTION # 164
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