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Google Professional-Cloud-Architect Exam Questions

Google Professional-Cloud-Architect Exam Questions Answers

Google Certified Professional - Cloud Architect (GCP)

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Google Professional-Cloud-Architect Practice Test Questions ( Updated) – Real Exam Questions & Dumps PDF

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Google Professional-Cloud-Architect Sample Questions – Free Practice Test & Real Exam Prep

Question #1

For this question, refer to the Helicopter Racing League (HRL) case study. Recently HRLstarted a new regionalracing league in Cape Town, South Africa. In an effort to give customers in Cape Town abetter userexperience, HRL has partnered with the Content Delivery Network provider, Fastly. HRLneeds to allow trafficcoming from all of the Fastly IP address ranges into their Virtual Private Cloud network(VPC network). You area member of the HRL security team and you need to configure the update that will allowonly the Fastly IPaddress ranges through the External HTTP(S) load balancer. Which command should youuse?

  • A. glouc compute firewall rules update hlr-policy \--priority 1000 \target tags-sourceiplist fastly \--allow tcp:443
  • B. gcloud compute security policies rules update 1000 \--security-policy hlr-policy \--expression "evaluatePreconfiguredExpr('sourceiplist-fastly')" \--action " allow"
  • C. gcloud compute firewall rules updatesourceiplist-fastly \priority 1000 \allow tcp: 443
  • D. gcloud compute priority-policies rules update1000 \security policy from fastly--src- ip-ranges"-- action " allow"
Answer: B
Reference: https://cloud.google.com/load-balancing/docs/https D18912E1457D5D1DDCBD40AB3BF70D5D
Question #2

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wantsbetter predictionaccuracy from their ML prediction models. They want you to use Google’s AI Platform soHRL can understandand interpret the predictions. What should you do?

  • A. Use Explainable AI.
  • B. Use Vision AI.
  • C. Use Google Cloud’s operations suite.
  • D. Use Jupyter Notebooks.
Question #3

For this question, refer to the Helicopter Racing League (HRL) case study. HRL is lookingfor a cost-effectiveapproach for storing their race data such as telemetry. They want to keep all historicalrecords, train modelsusing only the previous season's data, and plan for data growth in terms of volume andinformation collected.You need to propose a data solution. Considering HRL business requirements and thegoals expressed byCEO S. Hawke, what should you do?

  • A. Use Firestore for its scalable and flexible document-based database. Use collections to aggregate race databy season and event.
  • B. Use Cloud Spanner for its scalability and ability to version schemas with zero downtime. Split race datausing season as a primary key.
  • C. Use BigQuery for its scalability and ability to add columns to a schema. Partition race data based on season.
  • D. Use Cloud SQL for its ability to automatically manage storage increases and compatibility with MySQL. Useseparate database instances for each season.
Question #4

For this question, refer to the Helicopter Racing League (HRL) case study. The HRLdevelopment teamreleases a new version of their predictive capability application every Tuesday evening at 3a.m. UTC to arepository. The security team at HRL has developed an in-house penetration test CloudFunction called Airwolf.The security team wants to run Airwolf against the predictive capability application as soonas it is releasedevery Tuesday. You need to set up Airwolf to run at the recurring weekly cadence. Whatshould you do?

  • A. Set up Cloud Tasks and a Cloud Storage bucket that triggers a Cloud Function.
  • B. Set up a Cloud Logging sink and a Cloud Storage bucket that triggers a Cloud Function.
  • C. Configure the deployment job to notify a Pub/Sub queue that triggers a Cloud Function.
  • D. Set up Identity and Access Management (IAM) and Confidential Computing to trigger a Cloud Function.
Answer: A
Question #5

You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoringworkspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. Whatshould you do?

  • A. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then addmetrics and create alert policies.
  • B. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custommetrics, and install alerting software on a Compute Engine instance.
  • C. Write a shell script that gathers metrics from GKE nodes, publish these metrics to aPub/Sub topic, export the data to BigQuery, and make a Data Studio dashboard.
  • D. Create a custom dashboard in the Cloud Monitoring workspace for each incident, andthen add metrics and create alert policies.
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