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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Implement authentication and authorization 2. Use messaging and event-driven services 3. Integrate with Google Cloud APIs
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design secure applications 2. Choose storage options for application data 3. Design resilient and scalable application architectures
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Analyze metrics and alerts 3. Configure logging and tracing
Build and test applications	- Manage development environments 1. Build application artifacts 2. Implement CI/CD pipelines 3. Perform application testing
Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Manage application rollout strategies 3. Deploy applications to Google Kubernetes Engine

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Google Certified Professional - Cloud Developer Sample Questions (Q71-Q76):

NEW QUESTION # 71
What requirements are needed for iCloud to automatically back up an iOS device each day? (Choose two.)

A. The device is connected to a power source.
B. The device is updated to latest iOS.
C. The device is powered off.
D. The device's screen is locked.
E. The device has two-factor authentication turned on.

Answer: A,D

Explanation:
Explanation/Reference:
Reference: https://support.apple.com/en-us/HT203977

NEW QUESTION # 72
You have an application deployed in Google Kubernetes Engine (GKE) that reads and processes Pub/Sub messages. Each Pod handles a fixed number of messages per minute. The rate at which messages are published to the Pub/Sub topic varies considerably throughout the day and week, including occasional large batches of messages published at a single moment.
You want to scale your GKE Deployment to be able to process messages in a timely manner. What GKE feature should you use to automatically adapt your workload?

A. Vertical Pod Autoscaler in Recommendation mode
B. Horizontal Pod Autoscaler based on an external metric
C. Vertical Pod Autoscaler in Auto mode
D. Horizontal Pod Autoscaler based on resources utilization

Answer: B

Explanation:
https://kubernetes.io/docs/tasks/run-application/horizontal-pod-autoscale/

NEW QUESTION # 73
Your team detected a spike of errors in an application running on Cloud Run in your production project. The application is configured to read messages from Pub/Sub topic A, process the messages, and write the messages to topic B. You want to conduct tests to identify the cause of the errors. You can use a set of mock messages for testing. What should you do?

A. Deploy the Pub/Sub emulator on your local machine. Point the production application to your local Pub/Sub topics. Write mock messages to topic A, and then analyze the logs.
B. Use the gcloud CLI to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
C. Use the Google Cloud console to write mock messages to topic A. Change the logging level in the application to DEBUG or INFO, and then analyze the logs.
D. Deploy the Pub/Sub and Cloud Run emulators on your local machine. Deploy the application locally, and change the logging level in the application to DEBUG or INFO. Write mock messages to topic A, and then analyze the logs.

Answer: D

Explanation:
https://cloud.google.com/pubsub/docs/emulator

NEW QUESTION # 74
Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.
Which method should they use?

A. Use a source code commit trigger to push a message to a Cloud Pub/Sub topic that triggers an App Engine service to build the source code.
B. Use Cloud Build with a trigger configured for each source code commit.
C. Use a Compute Engine virtual machine instance with an open source continuous integration tool, configured to watch for source code commits.
D. Use Jenkins deployed via the Google Cloud Platform Marketplace, configured to watch for source code commits.

Answer: B

Explanation:
Explanation
https://cloud.google.com/build/docs/automating-builds/create-manage-triggers#:~:text=A%20Cloud%20Build%2

NEW QUESTION # 75
HipLocal's APIs are showing occasional failures, but they cannot find a pattern.
They want to collect some metrics to help them troubleshoot.
What should they do?

A. Install the Stackdriver Monitoring agent on the VMs.
B. Take frequent snapshots of all of the VMs.
C. Use Stackdriver Trace to look for performance bottlenecks.
D. Install the Stackdriver Logging agent on the VMs.

Answer: A

NEW QUESTION # 76
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