HOW TO CRACK THE CHALLENGING GOOGLE PROFESSIONAL-CLOUD-ARCHITECT EXAM EASILY AND QUICKLY?

How to Crack the Challenging Google Professional-Cloud-Architect Exam Easily and Quickly?

How to Crack the Challenging Google Professional-Cloud-Architect Exam Easily and Quickly?

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The Professional-Cloud-Architect exam requires a lot of preparation, hard work, and practice to be successful. To pass the Google Certified Professional - Cloud Architect (GCP) (Professional-Cloud-Architect) test, you need to get updated Google Professional-Cloud-Architect dumps. These Professional-Cloud-Architect questions are necessary to study for the test and pass it on the first try. Updated Professional-Cloud-Architect Practice Questions are essential prepare successfully for the Google Certified Professional - Cloud Architect (GCP) certification exam. But gaining access to updated Professional-Cloud-Architect questions is challenging for the candidates.

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Google Professional-Cloud-Architect Certification Exam is a highly sought-after certification that validates the skills and expertise of professionals in designing, developing, and managing secure, scalable, and highly available cloud solutions using Google Cloud Platform (GCP). Professional-Cloud-Architect exam is intended for individuals who have a deep understanding of GCP services and can design highly scalable and reliable cloud solutions that meet the business and technical requirements of organizations.

To become a Google Certified Professional - Cloud Architect, candidates must pass a rigorous exam that tests their understanding of various cloud architecture concepts, such as designing and planning a cloud solution architecture, managing and provisioning a cloud infrastructure, optimizing and securing a cloud solution, and analyzing and optimizing technical and business processes of a cloud solution.

Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Certification Exam is a globally recognized professional certification that validates an individual's ability to design, develop, and manage robust, scalable, and secure cloud architecture solutions using Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is ideal for cloud architects, cloud engineers, solutions architects, and IT professionals who are responsible for designing and managing cloud infrastructure and applications.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q16-Q21):

NEW QUESTION # 16
For this question, refer to the Dress4Win case study.
As part of Dress4Win's plans to migrate to the cloud, they want to be able to set up a managed logging and monitoring system so they can handle spikes in their traffic load. They want to ensure that:
* The infrastructure can be notified when it needs to scale up and down to handle the ebb and flow of usage throughout the day
* Their administrators are notified automatically when their application reports errors.
* They can filter their aggregated logs down in order to debug one piece of the application across many hosts Which Google StackDriver features should they use?

  • A. Logging, Alerts, Insights, Debug
  • B. Monitoring, Trace, Debug, Logging
  • C. Monitoring, Logging, Alerts, Error Reporting
  • D. Monitoring, Logging, Debug, Error Report

Answer: D


NEW QUESTION # 17
Mountkirk Games' gaming servers are not automatically scaling properly. Last month, they rolled out a new feature, which suddenly became very popular. A record number of users are trying to use the service, but many of them are getting 503 errors and very slow response times. What should they investigate first?

  • A. Verify that the database is online
  • B. Verify that the project quota hasn't been exceeded
  • C. Verify that the new feature code did not introduce any performance bugs
  • D. Verify that the load-testing team is not running their tool against production

Answer: B

Explanation:
Explanation: 503 is service unavailable error. If the database was online everyone would get the 503 error.


NEW QUESTION # 18
As part of their new application experience, Dress4Wm allows customers to upload images of themselves.
The customer has exclusive control over who may view these images.
Customers should be able to upload images with minimal latency and also be shown their images quickly
on the main application page when they log in.
Which configuration should Dress4Win use?

  • A. Use a distributed file system to store customers' images. As storage needs increase, add more
    persistent disks and/or nodes. Assign each customer a unique ID, which sets each file's owner
    attribute, ensuring privacy of images.
  • B. Store image files in a Google Cloud Storage bucket. Add custom metadata to the uploaded images in
    Cloud Storage that contains the customer's unique ID.
  • C. Use a distributed file system to store customers' images. As storage needs increase, add more
    persistent disks and/or nodes. Use a Google Cloud SQL database to maintain metadata that maps
    each customer's ID to their image files.
  • D. Store image files in a Google Cloud Storage bucket. Use Google Cloud Datastore to maintain metadata
    that maps each customer's ID and their image files.

Answer: D


NEW QUESTION # 19
You have an application deployed on Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

  • A. Use kubect1 set image deployment/echo-deployment <new-image>
  • B. Update the deployment yaml file with the new container image. Use kubect1 delete deployment/ echo-deployment and kubect1 create -f <yaml-file>
  • C. Update the service yaml file which the new container image. Use kubect1 delete service/echoservice and kubect1 create -f <yaml-file>
  • D. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

Answer: A

Explanation:
https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps#updating_an_application


NEW QUESTION # 20
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading.
Where should you store the data?

  • A. Google Cloud Bigtable
  • B. Google Cloud SQL
  • C. Google Cloud Storage
  • D. Google BigQuery

Answer: A

Explanation:
It is time-series data, So Big Table.
https://cloud.google.com/bigtable/docs/schema-design-time-series
Google Cloud Bigtable is a scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads.
Good for:
Low-latency read/write access
High-throughput analytics
Native time series support
Common workloads:
IoT, finance, adtech
Personalization, recommendations
Monitoring
Geospatial datasets
Graphs
References: https://cloud.google.com/storage-options/


NEW QUESTION # 21
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