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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.

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Google Professional-Cloud-Architect (Google Certified Professional-Cloud Architect (GCP)) Zertifizierungsprüfung ist eine weltweit anerkannte professionelle Zertifizierung, die die Fähigkeit einer Person validiert, robuste, skalierbare und sichere Cloud-Architekturlösungen mithilfe von Google Cloud-Plattform zu entwerfen, zu entwickeln und zu verwalten (GCP). Diese Zertifizierung ist ideal für Cloud -Architekten, Cloud -Ingenieure, Lösungsarchitekten und IT -Fachleute, die für die Gestaltung und Verwaltung von Cloud -Infrastruktur und -anwendungen verantwortlich sind.

Die Google Professional-Cloud-Architect-Prüfung ist eine Zertifizierung, die das Fachwissen einer Person im Bereich Cloud Computing mit einem Fokus auf Google Cloud Platform (GCP) überprüft. Diese Prüfung richtet sich an Fachleute, die für die Gestaltung, Entwicklung und Verwaltung von Cloud -Lösungen mit GCP verantwortlich sind. Die Zertifizierung bestätigt die Fähigkeiten, die für die Verarbeitung komplexer Lösungen auf Unternehmensebene erforderlich sind, die sicher, skalierbar und zuverlässig sind.

Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q18-Q23):

18. Frage
Case Study: 2 - TerramEarth Case Study
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries: About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Company Background
TerramEarth formed in 1946, when several small, family owned companies combined to retool after World War II. The company cares about their employees and customers and considers them to be extended members of their family.
TerramEarth is proud of their ability to innovate on their core products and find new markets as their customers' needs change. For the past 20 years trends in the industry have been largely toward increasing productivity by using larger vehicles with a human operator.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second, with 22 hours of operation per day.
TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment

TerramEarth's existing architecture is composed of Linux-based systems that reside in a data center. These systems gzip CSV files from the field and upload via FTP, transform and aggregate them, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
- Decrease unplanned vehicle downtime to less than 1 week, without
increasing the cost of carrying surplus inventory
- Support the dealer network with more data on how their customers use
their equipment IP better position new products and services.
- Have the ability to partner with different companies-especially with
seed and fertilizer suppliers in the fast-growing agricultural
business-to create compelling joint offerings for their customers
CEO Statement
We have been successful in capitalizing on the trend toward larger vehicles to increase the productivity of our customers. Technological change is occurring rapidly and TerramEarth has taken advantage of connected devices technology to provide our customers with better services, such as our intelligent farming equipment. With this technology, we have been able to increase farmers' yields by 25%, by using past trends to adjust how our vehicles operate. These advances have led to the rapid growth of our agricultural product line, which we expect will generate 50% of our revenues by 2020.
CTO Statement
Our competitive advantage has always been in the manufacturing process with our ability to build better vehicles for tower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. Unfortunately, our CEO doesn't take technology obsolescence seriously and he considers the many new companies in our industry to be niche players. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

A. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
B. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.
C. Use multiple Google Container Engine clusters running FTP servers located in different regions.
Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
D. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi-Regional bucket. Run the ETL process using data in the bucket.

Antwort: B

19. Frage
Your company has a networking team and a development team. The development team runs applications on Compute Engine instances that contain sensitive data. The development team requires administrative permissions for Compute Engine. Your company requires all network resources to be managed by the networking team. The development team does not want the networking team to have access to the sensitive data on the instances. What should you do?

A. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2. Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3. Use VPC Peering to join the two VPCs.
B. 1. Create a project with a standalone VPC and assign the Network Admin role to the networking team.
2. Create a second project with a standalone VPC and assign the Compute Admin role to the development team.
3. Use Cloud VPN to join the two VPCs.
C. 1. Create a project with a Shared VPC and assign the Network Admin role to the networking team.
2. Create a second project without a VPC, configure it as a Shared VPC service project, and assign the Compute Admin role to the development team.
D. 1. Create a project with a standalone Virtual Private Cloud (VPC), assign the Network Admin role to the networking team, and assign the Compute Admin role to the development team.

Antwort: C

Begründung:
https://cloud.google.com/iam/docs/job-
functions/networking#single_team_manages_security_network_for_organization In this scenario, a large organization has a central team that manages security and networking controls for the entire organization. Developers do not have permissions to make changes to any network or security settings defined by the security and networking team but they are granted permission to create resources such as virtual machines in shared subnets.
To facilitate this the organization makes use of a shared VPC (Virtual Private Cloud). A shared VPC allows creation of a VPC network of RFC 1918 IP spaces that associated projects (service projects) can then use. Developers using the associated projects can create VM instances in the shared VPC network spaces. The organization's network and security admins can create subnets, VPNs, and firewall rules usable by all the projects in the VPC network

20. Frage
You are developing a globally scaled frontend for a legacy streaming backend data API. This API expects events in strict chronological order with no repeat data for proper processing.
Which products should you deploy to ensure guaranteed-once FIFO (first-in, first-out) delivery of data?

A. Cloud Pub/Sub alone
B. Cloud Pub/Sub to Stackdriver
C. Cloud Pub/Sub to Cloud SQL
D. Cloud Pub/Sub to Cloud DataFlow

Antwort: D

Begründung:
Reference:
https://cloud.google.com/pubsub/docs/ordering

21. Frage
Dress4Win has asked you to recommend machine types they should deploy their application servers to.
How should you proceed?

A. Recommend that Dress4Win deploy into production with the smallest instances available, monitor them
over time, and scale the machine type up until the desired performance is reached.
B. Recommend that Dress4Win deploy application servers to machine types that offer the highest RAM to
CPU ratio available.
C. Identify the number of virtual cores and RAM associated with the application server virtual machines
align them to a custom machine type in the cloud, monitor performance, and scale the machine types
up until the desired performance is reached.
D. Perform a mapping of the on-premises physical hardware cores and RAM to the nearest machine types
in the cloud.

Antwort: D

22. Frage
Your company is planning to perform a lift and shift migration of their Linux RHEL 6.5+ virtual machines.
The virtual machines are running in an on-premises VMware environment. You want to migrate them to Compute Engine following Google-recommended practices. What should you do?

A. 1. Perform an assessment of virtual machines running in the current VMware environment.
2.Install a third-party agent on all selected virtual machines.
3.Migrate all virtual machines into Compute Engine.
B. 1. Perform an assessment of virtual machines running in the current VMware environment.
2. Define a migration plan, prepare a Migrate for Compute Engine migration RunBook, and execute the migration.
C. 1. Perform an assessment of virtual machines running in the current VMware environment.
2.Create images of all disks. Import disks on Compute Engine.
3.Create standard virtual machines where the boot disks are the ones you have imported.
D. 1. Define a migration plan based on the list of the applications and their dependencies.
2. Migrate all virtual machines into Compute Engine individually with Migrate for Compute Engine.

Antwort: B

Begründung:
The framework illustrated in the preceding diagram has four phases:
*Assess. In this phase, you assess your source environment, assess the workloads that you want to migrate to Google Cloud, and assess which VMs support each workload.
*Plan. In this phase, you create the basic infrastructure for Migrate for Compute Engine, such as provisioning the resource hierarchy and setting up network access.
*Deploy. In this phase, you migrate the VMs from the source environment to Compute Engine.
*Optimize. In this phase, you begin to take advantage of the cloud technologies and capabilities.
Reference: https://cloud.google.com/architecture/migrating-vms-migrate-for-compute-engine-getting-started

23. Frage
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