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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Developer Sample Questions (Q234-Q239):

NEW QUESTION # 234
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 Horizontal Pod Autoscaler, and scale based on a custom metric.
B. Deploy a Vertical Pod Autoscaler, and scale based on the CPU load.
C. Deploy a Vertical Pod Autoscaler, and scale based on a custom metric.
D. Deploy a Horizontal Pod Autoscaler, and scale based on the CPU toad.

Answer: D

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 # 235
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?

A. Stackdriver uptime checks
B. Cloud Load Balancing - heath checks
C. Smoke tests
D. Managed instance group - heath checks

Answer: A

Explanation:
Reference:
https://medium.com/google-cloud/stackdriver-monitoring-automation-part-3-uptime-checks-
476b8507f59c

NEW QUESTION # 236
Leigh states that her MacBook Pro (Retina, 15-inch, Mid 2015) does not recognize the SD card she brought with her. You have her reproduce the issue and discover that she is properly inserting the card. However, it is not recognized by Photos or Image Capture. What question should you ask next to isolate the issue to hardware?

A. Have you tried resetting your SMC and NVRAM?
B. What kind of files or images are on the SD card?
C. Are you running the latest version of Photos?
D. Have you had this issue with all SD cards or just this one?

Answer: D

NEW QUESTION # 237
You are deploying a microservices application to Google Kubernetes Engine (GKE). The application will receive daily updates. You expect to deploy a large number of distinct containers that will run on the Linux operating system (OS). You want to be alerted to any known OS vulnerabilities in the new containers. You want to follow Google-recommended best practices. What should you do?

A. Enable Container Analysis, and upload new container images to Artifact Registry. Review the vulnerability results before each deployment.
B. Use the Container Analysis REST API to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.
C. Use the gcloud CLI to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.
D. Enable Container Analysis, and upload new container images to Artifact Registry. Review the critical vulnerability results before each deployment.

Answer: A

Explanation:
Explanation
https://cloud.google.com/container-analysis/docs/automated-scanning-howto
https://cloud.google.com/container-analysis/docs/os-overview says: The Container Scanning API allows you to automate OS vulnerability detection, scanning each time you push an image to Container Registry or Artifact Registry. Enabling this API also triggers language package scans for Go and Java vulnerabilities (Preview).

NEW QUESTION # 238
Your website is deployed on Compute Engine. Your marketing team wants to test conversion rates between 3 different website designs.
Which approach should you use?

A. Deploy the website on App Engine as three separate services.
B. Deploy the website on App Engine and use traffic splitting.
C. Deploy the website on Cloud Functions and use traffic splitting.
D. Deploy the website on Cloud Functions as three separate functions.

Answer: B

Explanation:
Reference:
https://cloud.google.com/appengine/docs/standard/python/splitting-traffic

NEW QUESTION # 239
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