CERTIFICATION PROFESSIONAL-CLOUD-ARCHITECT TRAINING, LATEST PROFESSIONAL-CLOUD-ARCHITECT BRAINDUMPS FILES

Certification Professional-Cloud-Architect Training, Latest Professional-Cloud-Architect Braindumps Files

Certification Professional-Cloud-Architect Training, Latest Professional-Cloud-Architect Braindumps Files

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q244-Q249):

NEW QUESTION # 244
For this question, refer to the Dress4Win case study. Considering the given business requirements, how would you automate the deployment of web and transactional data layers?

  • A. Deploy Nginx and Tomcat using Cloud Launcher. Deploy a MySQL server using Cloud Launcher.
    Deploy Jenkins to Compute Engine using Cloud Deployment Manager scripts.
  • B. Deploy Nginx and Tomcat using Cloud Deployment Manager to Compute Engine. Deploy a Cloud SQL server to replace MySQL. Deploy Jenkins using Cloud Deployment Manager.
  • C. Migrate Nginx and Tomcat to App Engine. Deploy a MySQL server using Cloud Launcher. Deploy Jenkins to Compute Engine using Cloud Launcher.
  • D. Migrate Nginx and Tomcat to App Engine. Deploy a Cloud Datastore server to replace the MySQL server in a high-availability configuration. Deploy Jenkins to Compute Engine using Cloud Launcher.

Answer: D

Explanation:
Topic 6, TerramEarth Case 2
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.
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 and Windows-based systems that reside in a single
U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, 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.
Support the dealer network with more data on how their customers use their equipment to 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.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east coast.
Create a backup strategy.
Increase security of data transfer from equipment to the datacenter.
Improve data in the data warehouse.
Use customer and equipment data to anticipate customer needs.
Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2
- 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair.
Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs
- Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server
- RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower 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. My goals are to build our skills while addressing immediate market needs through incremental innovations.


NEW QUESTION # 245
Your company uses the Firewall Insights feature in the Google Network Intelligence Center. You have several firewall rules applied to Compute Engine instances. You need to evaluate the efficiency of the applied firewall ruleset. When you bring up the Firewall Insights page in the Google Cloud Console, you notice that there are no log rows to display. What should you do to troubleshoot the issue?

  • A. Verify that your user account is assigned the compute.networkAdmin Identity and Access Management (IAM) role.
  • B. Install the Google Cloud SDK, and verify that there are no Firewall logs in the command line output.
  • C. Enable Firewall Rules Logging for the firewall rules you want to monitor.
  • D. Enable Virtual Private Cloud (VPC) flow logging.

Answer: C

Explanation:
Reference: https://cloud.google.com/network-intelligence-center/docs/firewall-insights/how-to/using-firewall- insights


NEW QUESTION # 246
You have deployed several instances on Compute Engine. As a security requirement, instances cannot have a public IP address. There is no VPN connection between Google Cloud and your office, and you need to connect via SSH into a specific machine without violating the security requirements. What should you do?

  • A. Create a bastion host in the network to SSH into the bastion host from your office location. From the bastion host, SSH into the desired instance.
  • B. Add all instances to an unmanaged instance group. Configure TCP Proxy Load Balancing with the instance group as a backend. Connect to the instance using the TCP Proxy IP.
  • C. Configure Identity-Aware Proxy (IAP) for the instance and ensure that you have the role of IAP-secured Tunnel User. Use the gcloud command line tool to ssh into the instance.
  • D. Configure Cloud NAT on the subnet where the instance is hosted. Create an SSH connection to the Cloud NAT IP address to reach the instance.

Answer: A

Explanation:
Reference: https://cloud.google.com/solutions/connecting-securely


NEW QUESTION # 247
Mountkirk Games wants you to design their new testing strategy. How should the test coverage differ from their existing backends on the other platforms?

  • A. Tests should scale well beyond the prior approaches
  • B. Tests should be applied after the release is in the production environment
  • C. Unit tests are no longer required, only end-to-end tests
  • D. Tests should include directly testing the Google Cloud Platform (GCP) infrastructure

Answer: A

Explanation:
From Scenario:
A few of their games were more popular than expected, and they had problems scaling their application servers, MySQL databases, and analytics tools.
Requirements for Game Analytics Platform include: Dynamically scale up or down based on game activity


NEW QUESTION # 248
A development manager is building a new application He asks you to review his requirements and identify what cloud technologies he can use to meet them. The application must
1 . Be based on open-source technology for cloud portability
2 . Dynamically scale compute capacity based on demand
3 . Support continuous software delivery
4 . Run multiple segregated copies of the same application stack
5 . Deploy application bundles using dynamic templates
6 . Route network traffic to specific services based on URL
Which combination of technologies will meet all of his requirements?

  • A. Google Compute Engine and Cloud Deployment Manager
  • B. Google Container Engine, Jenkins, and Helm
  • C. Google Compute Engine, Jenkins, and Cloud Load Balancing
  • D. Google Container Engine and Cloud Load Balancing

Answer: A


NEW QUESTION # 249
......

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