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

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Google Professional-Cloud-Architect Prüfungsplan:

ThemaEinzelheiten
Thema 1
  • Designing for Security and Compliance
  • Resource Hierarchy (organizations, folders, projects)
  • Managing Customer-Supplied Encryption Keys with Cloud KMS
Thema 2
  • Cloud Native Networking (VPC, Peering, Firewalls, Container Networking)
  • Identification of Data Processing Pipeline
Thema 3
  • Envisioning Future Solution Improvements
  • Cloud and Technology Improvements
  • Evangelism and Advocacy
Thema 4
  • Managing and Provisioning Solution Infrastructure
  • Configuring Network Topologies, Extending to on-Premise|Extending to a Multi-Cloud Environment Which May Include GCP to GCP Communication
  • Configuring Individual Storage Systems
Thema 5
  • Designing a Solution Infrastructure that Meets Business Requirements
  • Business Use Cases and Product Strategy
Thema 6
  • Designing Network, Storage, and Compute Resources
  • Integration with on Premises
  • Multi-Cloud Environments
Thema 7
  • Data Processing
  • Compute Provisioning
  • Network Configuration for Data Transfer and Latency
  • Data Growth Management
Thema 8
  • Analyzing and Pptimizing Technical and Business Processes
  • Analyzing and Defining Technical Processes, Software Development Lifecycle Plan
Thema 9
  • Designing a Solution Infrastructure that Meets Technical Requirements
  • High Availability and Failover Design

Google Certified Professional - Cloud Architect (GCP) Professional-Cloud-Architect Prüfungsfragen mit Lösungen (Q223-Q228):

223. Frage
You have developed an application using Cloud ML Engine that recognizes famous paintings from uploaded images. You want to test the application and allow specific people to upload images for the next 24 hours. Not all users have a Google Account. How should you have users upload images?

  • A. Have users upload the images to Cloud Storage. Protect the bucket with a password that expires after 24 hours.
  • B. Create an App Engine web application where users can upload images for the next 24 hours. Authenticate users via Cloud Identity.
  • C. Have users upload the images to Cloud Storage using a signed URL that expires after 24 hours.
  • D. Create an App Engine web application where users can upload images. Configure App Engine to disable the application after 24 hours. Authenticate users via Cloud Identity.

Antwort: A

Begründung:
Reference:
https://cloud.google.com/blog/products/storage-data-transfer/uploading-images-directly-to-cloud-storage-by-using-signed-url


224. Frage
For this question, refer to the EHR Healthcare case study. You are responsible for designing the Google Cloud network architecture for Google Kubernetes Engine. You want to follow Google best practices. Considering the EHR Healthcare business and technical requirements, what should you do to reduce the attack surface?

  • A. Use a public cluster with firewall rules and Virtual Private Cloud (VPC) routes.
  • B. Use a private cluster with a private endpoint with master authorized networks configured.
  • C. Use a public cluster with master authorized networks enabled and firewall rules.
  • D. Use a private cluster with a public endpoint with master authorized networks configured.

Antwort: C


225. Frage
Case Study: 3 - JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart-owned U.S.
data centers.
Database
* Oracle Database stores user profiles
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* PostgreSQL database stores user credentials
-homed in US West
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Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
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* 20 machines in US East Coast, each machine has:
-core CPU
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Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long- term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure. However, because of changing market trends, we need to outsource our infrastructure to ensure our long- term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.
For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform.
Which Google Database should they use?

  • A. Cloud Spanner
  • B. Google BigQuery
  • C. Google Cloud Datastore
  • D. Google Cloud SQL

Antwort: C

Begründung:
Common workloads for Google Cloud Datastore:
User profiles
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Product catalogs
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Game state
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References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview


226. Frage
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 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
  • B. 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
  • C. 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
  • D. 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

Antwort: C


227. Frage
For this question, refer to the EHR Healthcare case study. You need to define the technical architecture for hybrid connectivity between EHR's on-premises systems and Google Cloud. You want to follow Google's recommended practices for production-level applications. Considering the EHR Healthcare business and technical requirements, what should you do?

  • A. Configure Direct Peering between EHR Healthcare and Google Cloud, and make sure you are peering at least two Google locations.
  • B. Configure two Partner Interconnect connections in one metro (City), and make sure the Interconnect connections are placed in different metro zones.
  • C. Configure two Dedicated Interconnect connections in one metro (City) and two connections in another metro, and make sure the Interconnect connections are placed in different metro zones.
  • D. Configure two VPN connections from on-premises to Google Cloud, and make sure the VPN devices on-premises are in separate racks.

Antwort: C

Begründung:
Reference:
based on the requirement of secure and high-performance connection between on-premises systems to Google Cloud


228. Frage
......

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