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Die Google Professional-Cloud-Architect-Zertifizierungsprüfung testet Kandidaten für ihre Fähigkeit, Cloud-Lösung-Architekturen zu entwerfen und zu planen, die Infrastruktur, sicherzustellen, sicherzustellen, die Leistung und Skalierbarkeit zu optimieren und Probleme zu beheben und zu beheben. Die Prüfung deckt eine Reihe von Themen wie Cloud -Architektur, Infrastruktur, Sicherheit, Datenspeicherung, Netzwerk und Anwendungsentwicklung ab.

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Die Google Professional-Cloud-Architect-Prüfung ist eine Zertifizierung, die von der Google Cloud Platform (GCP) für Personen angeboten wird, die ihre Fähigkeiten und Kenntnisse im Design, der Entwicklung und dem Management skalierbarer und sicherer Cloud-Lösungen demonstrieren wollen. Diese Zertifizierung ist für Cloud-Architekten, Cloud-Entwickler und andere IT-Profis gedacht, die für das Design und die Implementierung von Cloud-Infrastrukturen verantwortlich sind.

Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q182-Q187):

182. Frage
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly.
Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?

A. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
B. Google Container Registry, Google Container Engine, Google HTTP(s) Load Balancer
C. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
D. Google Cloud Storage, Google App Engine, Google Network Load Balancer

Antwort: B

Begründung:
https://cloud.google.com/load-balancing/
https://cloud.google.com/solutions/ansible-with-spinnaker-tutorial
http://blog.armory.io/what-is-immutable-infrastructure/
https://cloud.google.com/compute/docs/load-balancing/http/

183. Frage
Your organization uses separate Google Cloud projects for shared services, development, testing, and production.
- The shared services project hosts your private CI/CD runners and a
central Artifact Registry
- The development, testing, and production projects host the GKE
clusters where applications are deployed.
You need to design an architecture that allows the CI/CD runners to connect to the GKE clusters and the clusters to pull images from Artifact Registry, all using private IP addresses. However, direct network traffic between the development, testing, and production environments must be strictly prohibited. What should you do?

A. Create a separate VPC in each of the four projects. Connect each environment's VPC to the shared services VPC through VPC Network Peering.
B. Configure the shared services project as a Shared VPC host. Create a single VPC in this host project and attach the environment projects as service projects.
C. Create a separate VPC in each project. Use VPC Network Peering to create a full mesh, connecting every VPC directly to every other VPC.
D. Expose the resources in the shared services project using an external load balancer. Implement a firewall rule to limit access.

Antwort: A

Begründung:
Creating separate VPCs for shared services, development, testing, and production, and then peering only each environment VPC with the shared services VPC forms a hub-and-spoke design. This allows:
- CI/CD runners (in shared services VPC) to reach each GKE cluster over private IP.
- GKE clusters (in env VPCs) to pull images privately from Artifact Registry (via Private Service Connect / VPC-SC aware patterns).
- No direct connectivity between dev, test, and prod, because VPC Network Peering is non- transitive and you do not peer the environment VPCs with each other, thus enforcing strong isolation by design.

184. Frage
Your company has an enterprise application running on Compute Engine that requires high availability and high performance. The application has been deployed on two instances in two zones in the same region in active-passive mode. The application writes data to a persistent disk.
In the case of a single zone outage, that data should be immediately made available to the other instance in the other zone. You want to maximize performance while minimizing downtime and data loss. What should you do?

A. 1. Create a Cloud Storage bucket.
2. Mount the bucket into the first instance with gcs-fuse.
3. In case of a zone outage, mount the Cloud Storage bucket to the second instance with gcs- fuse.
B. 1. Attach a persistent SSD disk to the first instance.
2. Create a snapshot every hour.
3. In case of a zone outage, recreate a persistent SSD disk in the second instance where data is coming from the created snapshot.
C. 1. Attach a local SSD to the first instance disk.
2. Execute an rsync command every hour where the target is a persistent SSD disk attached to the second instance.
3. In case of a zone outage, use the second instance.
D. 1. Attach a regional SSD persistent disk to the first instance.
2. In case of a zone outage, force-attach the disk to the other instance.

Antwort: D

Begründung:
https://cloud.google.com/compute/docs/disks/repd-failover

185. Frage
For this question, refer to the Dress4Win case study.
Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services.
The Stackdriver dashboard is not reporting the services as healthy. What should they do?

A. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the value matches GoogleStackdriverMonitoring- UptimeChecks (https://cloud.google.com/monitoring)
B. Configure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
C. Install the Stackdriver agent on all of the legacy web servers.
D. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule

Antwort: D

186. Frage
You need to upload files from your on-premises environment to Cloud Storage. You want the files to be encrypted on Cloud Storage using customer-supplied encryption keys. What should you do?

A. Use gsutil to upload the files, and use the flag --encryption-key to supply the encryption key.
B. Supply the encryption key using gcloud config. Use gsutil to upload the files to that bucket.
C. Use gsutil to create a bucket, and use the flag --encryption-key to supply the encryption key. Use gsutil to upload the files to that bucket.
D. Supply the encryption key in a .boto configuration file. Use gsutil to upload the files.

Antwort: D

Begründung:
https://cloud.google.com/storage/docs/gsutil/addlhelp/UsingEncryptionKeys#generating- customer-supplied-encryption-keys

187. Frage
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