Updated Professional-Cloud-Developer - Google Certified Professional - Cloud Developer Exam Reviews

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: 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
Topic 2: Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design resilient and scalable application architectures 2. Choose storage options for application data 3. Design secure applications
Topic 3: 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
Topic 4: Manage application performance monitoring	- Monitor and troubleshoot applications 1. Analyze metrics and alerts 2. Configure logging and tracing 3. Optimize application performance
Topic 5: Build and test applications	- Manage development environments 1. Implement CI/CD pipelines 2. Perform application testing 3. Build application artifacts

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Google Certified Professional - Cloud Developer Sample Questions (Q68-Q73):

NEW QUESTION # 68
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. Smoke tests
B. Stackdriver uptime checks
C. Cloud Load Balancing - heath checks
D. Managed instance group - heath checks

Answer: B

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

NEW QUESTION # 69
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 Profiler to generate report.
C. Use Stackdriver Debugger to generate report.
D. Use Stackdriver Trace to generate reports.
E. Use Zipkin collector to gather data.

Answer: D,E

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 # 70
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine.
What should you do?

A. Place the unique configuration values in the persistent disk.
B. Place the unique configuration values in a Cloud Bigtable table.
C. Place the unique configuration values in the instance template startup script.
D. Place the unique configuration values in the instance template instance metadata.

Answer: D

Explanation:
https://cloud.google.com/compute/docs/instances/startup-scripts
A startup script is a file that contains commands that run when a virtual machine (VM) instance boots.

NEW QUESTION # 71
You have an analytics application that runs hundreds of queries on BigQuery every few minutes using BigQuery API. You want to find out how much time these queries take to execute. What should you do?

A. Use Stackdriver Trace to plot API execution time.
B. Use Stackdriver Monitoring to plot slot usage.
C. Use Stackdriver Trace to plot query execution time.
D. Use Stackdriver Monitoring to plot query execution times.

Answer: D

NEW QUESTION # 72
Your application named ecom-web-app is deployed in three GKE clusters: ecom-web-app-dev, ecom-web-app-qa, and ecom-web-app-prod. You need to ensure that only trusted container images are deployed to the ecom-web-app-prod GKE cluster in the production environment while following Google-recommended practices. What should you do?

A. Set up Binary Authorization, and define cluster-specific rules in clusterAdmissionRules nodes in the policy YAML file.
B. Set up an image verification process by using Cloud Functions where the function is invoked when a container image is built in Cloud Build and ensures that only trusted container images are stored in Artifact Registry.
C. Set up Binary Authorization, and exempt any container images that are not deployed to the ecom- web-app-prod GKE cluster.
D. Set up an image verification process that scans the container images in Artifact Registry for vulnerabilities and tags the image versions that fail the scan as untrusted.

Answer: A

Explanation:
Binary Authorization is a Google-recommended security feature that enforces deploy-time security policies for containerized applications running on GKE. By setting up Binary Authorization and defining cluster-specific rules using the clusterAdmissionRules in the policy YAML file, you can ensure that only trusted and verified container images are deployed to the ecom-web-app-prod GKE cluster. This setup allows you to configure specific rules for the production environment, providing an added layer of security and control over which images can be deployed.
Other options, like using an image verification process alone, do not enforce strict deploy-time policies directly at the cluster level and thus may not prevent untrusted images from being deployed.

NEW QUESTION # 73
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