Echte Professional-Cloud-Architect Fragen und Antworten der Professional-Cloud-Architect Zertifizierungsprüfung

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Die Google Professional Cloud-Architect-Zertifizierung wird in der Branche hoch geschätzt, da das Know-how des Kandidaten beim Entwerfen und Bereitstellen von Cloud-Lösungen mithilfe von GCP demonstriert. Die Zertifizierung bestätigt auch die Fähigkeit des Kandidaten, mit fortschrittlichen Diensten und Technologien von GCP wie BigQuery, Cloud SQL und Cloud -Schraubstoff zu arbeiten. Die Zertifizierung wird weltweit anerkannt und kann Einzelpersonen dabei helfen, ihre Karriere durchzuführen, indem sie neue Beschäftigungsmöglichkeiten und höhere Gehälter eröffnen.

Die Prüfung besteht aus Multiple-Choice-Fragen, die eine Reihe von Themen abdecken, einschließlich Cloud-Architektur, Sicherheit, Netzwerk und Datenverwaltung. Von den Kandidaten wird erwartet, dass sie ein starkes Verständnis der Cloud-Computing-Technologien und Best Practices sowie die Fähigkeit haben, dieses Wissen auf reale Szenarien anzuwenden. Die Prüfung soll eine Herausforderung darstellen, wobei eine bestehende Punktzahl von 70% erforderlich ist, um die Zertifizierung zu verdienen.

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Durch den Erwerb der Google Professional-Cloud-Architect-Zertifizierung zeigt der Kandidat über das Wissen und die Fähigkeiten, die zur Gestaltung und Implementierung von Cloud-Lösungen mithilfe von GCP-Technologien erforderlich sind. Diese Zertifizierung wird von Arbeitgebern sehr geschätzt, da sie zeigt, dass der Kandidat die Fähigkeit hat, skalierbare, effiziente und sichere Cloud -Lösungen zu entwerfen und zu implementieren, die den Anforderungen moderner Unternehmen entsprechen.

Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q291-Q296):

291. Frage
Case Study: 5 - Dress4win
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model. The application has grown from a few servers in the founder's garage to several hundred servers and appliances in a collocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster.
Dress4Win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is moving their development and test environments. They are also building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location. All servers run Ubuntu LTS v16.04.
Databases:
MySQL. 1 server for user data, inventory, static data:
* - MySQL 5.8
- 8 core CPUs
- 128 GB of RAM
- 2x 5 TB HDD (RAID 1)
Redis 3 server cluster for metadata, social graph, caching. Each server is:
* - Redis 3.2
- 4 core CPUs
- 32GB of RAM
Compute:
40 Web Application servers providing micro-services based APIs and static content.
* - Tomcat - Java
- Nginx
- 4 core CPUs
- 32 GB of RAM
20 Apache Hadoop/Spark servers:
* - Data analysis
- Real-time trending calculations
- 8 core CPUS
- 128 GB of RAM
- 4x 5 TB HDD (RAID 1)
3 RabbitMQ servers for messaging, social notifications, and events:
* - 8 core CPUs
- 32GB of RAM
Miscellaneous servers:
* - Jenkins, monitoring, bastion hosts, security scanners
- 8 core CPUs
- 32GB of RAM
Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* - 1 PB total storage; 400 TB available
NAS - image storage, logs, backups
* - 100 TB total storage; 35 TB available
Business Requirements
Build a reliable and reproducible environment with scaled parity of production.
* Improve security by defining and adhering to a set of security and Identity and Access
* Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
* Analyze and optimize architecture for performance in the cloud.
* Technical Requirements
Easily create non-production environment in the cloud.
* Implement an automation framework for provisioning resources in cloud.
* Implement a continuous deployment process for deploying applications to the on-premises
* datacenter or cloud.
Support failover of the production environment to cloud during an emergency.
* Encrypt data on the wire and at rest.
* Support multiple private connections between the production data center and cloud
* environment.
Executive Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a competitor could use a public cloud platform to offset their up-front investment and free them to focus on developing better features. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years for a public cloud strategy achieves a cost reduction between 30% and 50% over our current model.
For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

A. Implement managed instance groups for Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Compute Engine with Persistent Disk storage.
B. Migrate RabbitMQ to Cloud Pub/Sub, Hadoop to BigQuery, and NAS to Compute Engine with Persistent Disk storage. Deploy Tomcat, and deploy Nginx using Deployment Manager.
C. Migrate the web application layer to App Engine, and MySQL to Cloud Datastore, and NAS to Cloud Storage. Deploy RabbitMQ, and deploy Hadoop servers using Deployment Manager.
D. Implement managed instance groups for the Tomcat and Nginx. Migrate MySQL to Cloud SQL, RabbitMQ to Cloud Pub/Sub, Hadoop to Cloud Dataproc, and NAS to Cloud Storage.

Antwort: A

292. Frage
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet.
What should you do?

A. Deploy your application on App Engine standard environment and use App Engine firewall rules to limit access to the open on-premises database.
B. Deploy your application on App Engine standard environment and use Cloud VPN to limit access to the on-premises database.
C. Deploy your application on App Engine flexible environment and use App Engine firewall rules to limit access to the on-premises database.
D. Deploy your application on App Engine flexible environment and use Cloud VPN to limit access to the on-premises database.

Antwort: D

293. Frage
A lead engineer wrote a custom tool that deploys virtual machines in the legacy data center. He wants to migrate the custom tool to the new cloud environment. You want to advocate for the adoption of Google Cloud Deployment Manager.
What are two business risks of migrating to Cloud Deployment Manager? Choose 2 answers.

A. Cloud Deployment Manager only supports automation of Google Cloud resources
B. Cloud Deployment Manager uses Python
C. Cloud Deployment Manager is unfamiliar to the company's engineers
D. Cloud Deployment Manager requires a Google APIs service account to run
E. Cloud Deployment Manager can be used to permanently delete cloud resources
F. Cloud Deployment Manager APIs could be deprecated in the future

Antwort: A,F

Begründung:
Explanation/Reference:
Explanation:
What are two business risks of migrating to Cloud Deployment Manager?
Risk 1 Cloud Deployment Manager APIs could be deprecated in the future.
Risk 2 Cloud Deployment Manager only supports automation of Google Cloud resources.

294. Frage
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

A. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters update mycluster --enable-autoscaling --min-nodes=1 --max-nodes=10
B. Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags INSTANCE --tags enable --autoscaling max-nodes-10
C. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize CLUSTER_NAME --size 10
D. Create a new Container Engine cluster with the following command:
gcloud alpha container clusters create mycluster --enable-autocaling --min-nodes=1 --max-nodes=10
and redeploy your application.

Antwort: B

Begründung:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-autoscaler
Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled. Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.

295. Frage
You are migrating a large, on-premises application to Google Cloud. The application consists of several interconnected virtual machines. You want to create a detailed migration plan to ensure a smooth migration with minimal effort. You need to understand the existing environment, identify dependencies, and estimate the total cost of ownership (TCO) in the cloud. What should you do?

A. Use the Google Cloud pricing calculator to input the specifications of your on-premises servers and receive a TCO estimate.
B. Write a custom script to query the vSphere API for virtual machine information and then import it into BigQuery for analysis.
C. Use the Google Cloud Migration Center to perform an automated discovery and assessment of the on- premises environment.
D. Use Config Connector to declare the desired state of your Google Cloud resources in Kubernetes-style manifests.

Antwort: C

Begründung:
The Google Cloud Migration Center is the unified platform for end-to-end migration. According to the Cloud Migration Framework , the " Assess " phase is the most critical step for a successful migration.
The Migration Center provides automated discovery tools (like the mDiscovery tool) that scan your on- premises environment (vSphere, physical servers, etc.) to collect hardware specs, performance data, and network dependencies . It then generates a TCO (Total Cost of Ownership) report comparing your current costs with optimized Google Cloud sizing. This replaces manual processes like Option D and Option C (which requires you to already know the specs). Option A (Config Connector) is used for managing existing cloud resources, not for assessing on-premises environments for migration.

296. Frage
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