RELIABLE PROFESSIONAL-CLOUD-ARCHITECT BRAINDUMPS SHEET - PROFESSIONAL-CLOUD-ARCHITECT INSTANT DISCOUNT

Reliable Professional-Cloud-Architect Braindumps Sheet - Professional-Cloud-Architect Instant Discount

Reliable Professional-Cloud-Architect Braindumps Sheet - Professional-Cloud-Architect Instant Discount

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If you are looking to advance in the fast-paced and technological world, Google is here to help you achieve this aim. Google provides you with the excellent Google Certified Professional - Cloud Architect (GCP) practice exam, which will make your dream come true of passing the Google Professional-Cloud-Architect Certification Exam.

Google Professional-Cloud-Architect certification exam has been designed to validate the skills of cloud professionals who are interested in designing and developing solutions on Google Cloud Platform. Candidates who pass the exam will have demonstrated their expertise in designing and implementing cloud solutions that are scalable, reliable, and secure. Professional-Cloud-Architect exam covers a wide range of topics, including cloud architecture, infrastructure, security, and compliance. Candidates are required to demonstrate their knowledge of these topics by answering multiple-choice questions, case studies, and scenarios.

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q41-Q46):

NEW QUESTION # 41
You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly. What should you do?

  • A. Navigate the predefined dashboards in the Cloud Monitoring workspace, create custom metrics, and install alerting software on a Compute Engine instance.
  • B. Navigate the predefined dashboards in the Cloud Monitoring workspace, and then add metrics and create alert policies.
  • C. Write a shell script that gathers metrics from GKE nodes, publish these metrics to a Pub/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, and then add metrics and create alert policies.

Answer: B

Explanation:
https://cloud.google.com/stackdriver/docs/solutions/gke/legacy-stackdriver/monitoring


NEW QUESTION # 42
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 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
    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.
  • 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 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.

Answer: C

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


NEW QUESTION # 43
Your company is planning to perform a lift and shift migration of their Linux RHEL 6.5+ virtual machines.
The virtual machines are running in an on-premises VMware environment. You want to migrate them to Compute Engine following Google-recommended practices. What should you do?

  • A. 1. Perform an assessment of virtual machines running in the current VMware environment.
    2.Install a third-party agent on all selected virtual machines.
    3.Migrate all virtual machines into Compute Engine.
  • B. 1. Define a migration plan based on the list of the applications and their dependencies.
    2. Migrate all virtual machines into Compute Engine individually with Migrate for Compute Engine.
  • C. 1. Perform an assessment of virtual machines running in the current VMware environment.
    2. Define a migration plan, prepare a Migrate for Compute Engine migration RunBook, and execute the migration.
  • D. 1. Perform an assessment of virtual machines running in the current VMware environment.
    2.Create images of all disks. Import disks on Compute Engine.
    3.Create standard virtual machines where the boot disks are the ones you have imported.

Answer: C

Explanation:
Explanation
The framework illustrated in the preceding diagram has four phases:
*Assess. In this phase, you assess your source environment, assess the workloads that you want to migrate to Google Cloud, and assess which VMs support each workload.
*Plan. In this phase, you create the basic infrastructure for Migrate for Compute Engine, such as provisioning the resource hierarchy and setting up network access.
*Deploy. In this phase, you migrate the VMs from the source environment to Compute Engine.
*Optimize. In this phase, you begin to take advantage of the cloud technologies and capabilities.
Reference: https://cloud.google.com/architecture/migrating-vms-migrate-for-compute-engine-getting-started


NEW QUESTION # 44
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? (Choose two.)

  • A. Use Google BigQuery billing export and labels to associate cost to groups
  • B. Store all state into local SSD, snapshot the persistent disks, and terminate the VM
  • C. Apply VM CPU utilization label and include it in the BigQuery billing export
  • D. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM
  • E. Use the - -auto-delete flag on all persistent disks and terminate the VM
  • F. Use the - -no-auto-delete flag on all persistent disks and stop the VM

Answer: A,F


NEW QUESTION # 45
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

  • A. Relational
  • B. Blobstore
  • C. Flat file
  • D. NoSQL

Answer: D

Explanation:
Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:
Incorrect Answers:
D: The Blobstore API allows your application to serve data objects, called blobs, that are much larger than the size allowed for objects in the Datastore service. Blobs are useful for serving large files, such as video or image files, and for allowing users to upload large data files.
References: https://www.mongodb.com/nosql-explained


NEW QUESTION # 46
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