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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q169-Q174):

NEW QUESTION # 169
You are load testing your server application. During the first 30 seconds, you observe that a previously inactive Cloud Storage bucket is now servicing 2000 write requests per second and 7500 read requests per second.
Your application is now receiving intermittent 5xx and 429 HTTP responses from the Cloud Storage JSON API as the demand escalates. You want to decrease the failed responses from the Cloud Storage API.
What should you do?

A. Use the XML API instead of the JSON API for interfacing with Cloud Storage.
B. Pass the HTTP response codes back to clients that are invoking the uploads from your application.
C. Limit the upload rate from your application clients so that the dormant bucket's peak request rate is reached more gradually.
D. Distribute the uploads across a large number of individual storage buckets.

Answer: D

Explanation:
Explanation/Reference: https://cloud.google.com/storage/docs/request-rate

NEW QUESTION # 170
Your company has deployed a new API to App Engine Standard environment. During testing, the API is not behaving as expected. You want to monitor the application over time to diagnose the problem within the application code without redeploying the application.
Which tool should you use?

A. Stackdriver Debug Snapshots
B. Stackdriver Trace
C. Stackdriver Monitoring
D. Stackdriver Debug Logpoints

Answer: C

Explanation:
Reference:
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NEW QUESTION # 171
You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning.
You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
* Autoscales during high traffic periods at the end of each month
* Written in Python 3.x
* Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?

A. Modernize and deploy the code on App Engine standard environment.
B. Ask the development team to re-write the application to run as a Docker container on Google Kubernetes Engine.
C. Deploy the modernized application to an n1-standard-1 Compute Engine instance.
D. Modernize and deploy the code on App Engine flexible environment.

Answer: A

Explanation:
https://cloud.google.com/appengine/docs/standard

NEW QUESTION # 172
You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, which runs unit tests on the new code builds a new Docker container image, and pushes it into Container Registry. The last step of your pipeline should deploy the new container to your production Google Kubernetes Engine (GKE) cluster. You need to select a tool and deployment strategy that meets the following requirements:
* Zero downtime is incurred
* Testing is fully automated
* Allows for testing before being rolled out to users
* Can quickly rollback if needed
What should you do?

A. Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if it is successful, deploy the container to production.
B. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a shadow test.
C. Trigger a Spinnaker pipeline configured as a canary test of your new code and, if it is successful, deploy the container to production.
D. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a canary test.

Answer: B

Explanation:
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_shadow_test With a shadow test, you test the new version of your application by mirroring user traffic from the current application version without impacting the user requests.

NEW QUESTION # 173
A computer service technician says, "I don't use ESD precautions and have never had a problem." Which of the following is the correct response to this statement?

A. ESD happens only to inexperienced technicians.
B. ESD damage may not appear immediately.
C. ESD damage is really not as bad as everyone thinks.
D. ESD only occurs in very rare circumstances.

Answer: D

Explanation:
Explanation/Reference: https://electronics.stackexchange.com/questions/2945/should-i-be-worried-about-electro-static- discharge

NEW QUESTION # 174
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