Professional-Cloud-Architect Professional Cloud Architect on Google Cloud Platform

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Showing 10–12 of 15 questions

Question 10 (Mixed Questions)

You want your Google Kubernetes Engine cluster to automatically add or remove nodes based on CPU load.

What should you do?

Select an option, then click Submit answer.

  • Configure a HorizontalPodAutoscaler with a target CPU usage. Enable the Cluster Autoscaler from the GCP Console.

  • Configure a HorizontalPodAutoscaler with a target CPU usage. Enable autoscaling on the managed instance group for the cluster using the gcloud command.

  • Create a deployment and set the maxUnavailable and maxSurge properties. Enable the Cluster Autoscaler using the gcloud command.

  • Create a deployment and set the maxUnavailable and maxSurge properties. Enable autoscaling on the cluster managed instance group from the GCP Console.

Question 11 (Case Study 2)

For this question, refer to the TerramEarth case study. Considering the technical requirements, how should you reduce the unplanned vehicle downtime in GCP?

Select an option, then click Submit answer.

  • Use BigQuery as the data warehouse. Connect all vehicles to the network and stream data into BigQuery using Cloud Pub/Sub and Cloud Dataflow. Use Google Data Studio for analysis and reporting.

  • Use BigQuery as the data warehouse. Connect all vehicles to the network and upload gzip files to a Multi-Regional Cloud Storage bucket using gcloud. Use Google Data Studio for analysis and reporting.

  • Use Cloud Dataproc Hive as the data warehouse. Upload gzip files to a Multi-Regional Cloud Storage bucket. Upload this data into BigQuery using gcloud. Use Google Data Studio for analysis and reporting.

  • Use Cloud Dataproc Hive as the data warehouse. Directly stream data into partitioned Hive tables. Use Pig scripts to analyze data.

Question 12 (Case Study 4)

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Google’s AI Platform so HRL can understand and interpret the predictions. What should you do?

Select an option, then click Submit answer.

  • Use Explainable AI.

  • Use Vision AI.

  • Use Google Cloud’s operations suite.

  • Use Jupyter Notebooks.