PROFESSIONAL-CLOUD-ARCHITECT RELEVANT EXAM DUMPS & 100% PROFESSIONAL-CLOUD-ARCHITECT EXAM COVERAGE

Professional-Cloud-Architect Relevant Exam Dumps & 100% Professional-Cloud-Architect Exam Coverage

Professional-Cloud-Architect Relevant Exam Dumps & 100% Professional-Cloud-Architect Exam Coverage

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q136-Q141):

NEW QUESTION # 136
For this question, refer to the TerramEarth case study. You need to implement a reliable, scalable GCP solution for the data warehouse for your company, TerramEarth. Considering the TerramEarth business and technical requirements, what should you do?

  • A. Replace the existing data warehouse with BigQuery. Use federated data sources.
  • B. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs. Add an additional Compute Engine pre-emptible instance with 32 CPUs.
  • C. Replace the existing data warehouse with BigQuery. Use table partitioning.
  • D. Replace the existing data warehouse with a Compute Engine instance with 96 CPUs.

Answer: A

Explanation:
Reference:
https://cloud.google.com/solutions/bigquery-data-warehouse#external_sources
https://cloud.google.com/solutions/bigquery-data-warehouse


NEW QUESTION # 137
You are creating a solution to remove backup files older than 90 days from your backup Cloud Storage bucket.
You want to optimize ongoing Cloud Storage spend.
What should you do?

  • A. Write a lifecycle management rule in XML and push it to the bucket with gsutil
  • B. Schedule a cron script using gsutil ls -lr gs://backups/**to find and remove items older than 90 days
  • C. Schedule a cron script using gsutil ls -l gs://backups/**to find and remove items older than 90 days and schedule it with cron
  • D. Write a lifecycle management rule in JSON and push it to the bucket with gsutil

Answer: D


NEW QUESTION # 138
You need to develop procedures to verify resilience of disaster recovery for remote recovery using GCP. Your production environment is hosted on-premises. You need to establish a secure, redundant connection between your on premises network and the GCP network.
What should you do?

  • A. Verify that the Transfer Appliance can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if the Transfer Appliance fails.
  • B. Verify that the Transfer Appliance can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if the Transfer Appliance fails.
  • C. Verify that Dedicated Interconnect can replicate files to GCP. Verify that Cloud VPN can establish a secure connection between your networks if Dedicated Interconnect fails.
  • D. Verify that Dedicated Interconnect can replicate files to GCP. Verify that direct peering can establish a secure connection between your networks if Dedicated Interconnect fails.

Answer: C

Explanation:
Explanation
https://cloud.google.com/interconnect/docs/how-to/direct-peering


NEW QUESTION # 139
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?

  • A. Perform the following:
    1) Create a managed instance group with f1-micro type machines.
    2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
    3) Restart the instances to automatically deploy new production releases.
  • B. Perform the following:
    1) Create a managed instance group with n1-standard-1 type machines.
    2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
    3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
  • C. Perform the following:
    1) Create a Kubernetes Engine (GKE) cluster with n1-standard-4 type machines.
    2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
    3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
    Restart the pods to automatically deploy new production releases.
  • D. Perform the following:
    1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
    2) Build a Docker image from the production branch with all of the dependencies, and tag it with the version number.
    3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.

Answer: C

Explanation:
Explanation
https://cloud.google.com/compute/docs/instance-templates


NEW QUESTION # 140
You are using Cloud SQL as the database backend for a large CRM deployment. You want to scale as usage increases and ensure that you don't run out of storage, maintain 75% CPU usage cores, and keep replication lag below 60 seconds. What are the correct steps to meet your requirements?

  • A. 1. Enable automatic storage increase for the instance.
    2. Change the instance type to a 32-core machine type to keep CPU usage below 75%.
    3. Create a Stackdriver alert for replication lag, and deploy memcache to reduce load on the master.
  • B. 1. Enable automatic storage increase for the instance.
    2. Create a Stackdriver alert when CPU usage exceeds 75%, and change the instance type to reduce CPU usage.
    3. Create a Stackdriver alert for replication lag, and shard the database to reduce replication time.
  • C. 1. Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the instance to create more space.
    2. Deploy memcached to reduce CPU load.
    3. Create a Stackdriver alert for replication lag, and change the instance type to a 32-core machine type to reduce replication lag.
  • D. 1. Create a Stackdriver alert when storage exceeds 75%, and increase the available storage on the instance to create more space.
    2. Deploy memcached to reduce CPU load.
    3. Change the instance type to a 32-core machine type to reduce replication lag.

Answer: B


NEW QUESTION # 141
......

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