PROFESSIONAL-CLOUD-ARCHITECT TEST DISCOUNT | ONLINE PROFESSIONAL-CLOUD-ARCHITECT TEST

Professional-Cloud-Architect Test Discount | Online Professional-Cloud-Architect Test

Professional-Cloud-Architect Test Discount | Online Professional-Cloud-Architect Test

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Google Professional-Cloud-Architect Exam is a certification that validates the skills and knowledge required to design, develop, and manage robust, secure, scalable, and highly available cloud solutions using Google Cloud Platform (GCP). Google Certified Professional - Cloud Architect (GCP) certification is intended for individuals who have a deep understanding of cloud architecture principles and best practices and can apply them to designing and managing cloud solutions that meet business and technical requirements.

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To prepare for the Google Professional-Cloud-Architect Exam, candidates should have experience in designing and implementing cloud solutions using GCP. They should also have a good understanding of cloud computing concepts, such as virtualization, networking, and storage. Google recommends that candidates complete the Architecting with Google Cloud Platform specialization on Coursera before taking the exam.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q107-Q112):

NEW QUESTION # 107
An application development team has come to you for advice.They are planning to write and deploy an HTTP(S) API using Go 1.12. The API will have a very unpredictable workload and must remain reliable during peaks in traffic. They want to minimize operational overhead for this application. What approach should you recommend?

  • A. Use a Managed Instance Group when deploying to Compute Engine
  • B. Develop the application for App Engine Flexible environment using a custom runtime
  • C. Develop the application for App Engine standard environment
  • D. Develop an application with containers, and deploy to Google Kubernetes Engine (GKE)

Answer: C

Explanation:
Explanation
https://cloud.google.com/appengine/docs/the-appengine-environments


NEW QUESTION # 108
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long-term disaster recovery backup. Which two steps should they take?
Choose 2 answers

  • A. Load logs into Google Cloud SQL.
  • B. Load logs into Google BigQuery.
  • C. Import logs into Google Stackdriver.
  • D. Insert logs into Google Cloud Bigtable.
  • E. Upload log files into Google Cloud Storage.

Answer: B,E

Explanation:
A is correct because BigQuery is the fully managed cloud data warehouse for analytics and supports the analytics requirement.
B is not correct because Cloud SOL does not support the expected 100 TB Additionally, Cloud SQL is a relational database and not the best fit for time-series log data formats C Is not correct because Stackdriver is optimized for monitoring, error reporting, and debugging instead of analytics queries.
D is not correct because Cloud Bigtable is optimized for read-write latency and analytics throughput not analytics querying and reporting.
E is correct because Cloud Storage provides the Coldline storage class to support long-term storage with infrequent access, which would support the long-term disaster recovery backup requirement.


NEW QUESTION # 109
You have deployed an application on Anthos clusters (formerly Anthos GKE). According to the SRE practices at your company you need to be alerted if the request latency is above a certain threshold for a specified amount of time. What should you do?

  • A. Install Anthos Service Mesh on your cluster. Use the Google Cloud Console to define a Service Level Objective (SLO)
  • B. Use Cloud Profiler to follow up the request latency. Create a custom metric in Cloud Monitoring based on the results of Cloud Profiler, and create an Alerting Policy in case this metric exceeds the threshold
  • C. Configure Anthos Config Management on your cluster and create a yaml file that defines the SLO and alerting policy you want to deploy in your cluster
  • D. Enable the Cloud Trace API on your project and use Cloud Monitoring Alerts to send an alert based on the Cloud Trace metrics

Answer: A

Explanation:
Explanation
https://cloud.google.com/service-mesh/docs/overview
https://cloud.google.com/service-mesh/docs/observability/slo-overview


NEW QUESTION # 110
For this question, refer to the Mountkirk Games case study. You are in charge of the new Game Backend Platform architecture. The game communicates with the backend over a REST API.
You want to follow Google-recommended practices. How should you design the backend?

  • A. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L7 load balancer.
  • B. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L7 load balancer.
  • C. Create an instance template for the backend. For every region, deploy it on a single-zone managed instance group. Use an L4 load balancer.
  • D. Create an instance template for the backend. For every region, deploy it on a multi-zone managed instance group. Use an L4 load balancer.

Answer: B

Explanation:
Explanation
https://cloud.google.com/solutions/gaming/cloud-game-infrastructure#dedicated_game_server


NEW QUESTION # 111
A lead software engineer tells you that his new application design uses websockets and HTTP sessions that are not distributed across the web servers. You want to help him ensure his application will run property on Google Cloud Platform. What should you do?

  • A. Meet with the cloud operations team and the engineer to discuss load balancer options.
  • B. Help the engineer to convert his websocket code to use HTTP streaming.
  • C. Review the encryption requirements for websocket connections with the security team.
  • D. Help the engineer redesign the application to use a distributed user session service that does not rely on websockets and HTTP sessions.

Answer: A

Explanation:
Google Cloud Platform (GCP) HTTP(S) load balancing provides global load balancing for HTTP(S) requests destined for your instances.
The HTTP(S) load balancer has native support for the WebSocket protocol.
Incorrect Answers:
A: HTTP server push, also known as HTTP streaming, is a client-server communication pattern that sends information from an HTTP server to a client asynchronously, without a client request.
A server push architecture is especially effective for highly interactive web or mobile applications, where one or more clients need to receive continuous information from the server.
References: https://cloud.google.com/compute/docs/load-balancing/http/


NEW QUESTION # 112
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