Professional-Cloud-Architect - Marvelous Google Certified Professional - Cloud Architect (GCP) Test Pattern

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Earning the Google Professional-Cloud-Architect Certification is an excellent way to demonstrate your expertise and differentiate yourself in a competitive job market. Google Certified Professional - Cloud Architect (GCP) certification is recognized globally and can help you secure high-paying jobs in cloud architecture and related fields. If you are a cloud professional looking to advance your career, the GCP certification is a great investment in your future.

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How to book Google Professional Cloud Architect Exams

The registration for the Google Professional Cloud Architect Exam follows the steps given below.

Step 1: Visit the Google Cloud Webassessor Website
Step 2: Sign in or sign up to your Google Cloud Webassessor account
Step 3: Search for the exam name Google Professional Cloud Architect
Step 4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.

Google Professional-Cloud-Architect Exam is a certification exam offered by Google that validates an individual's ability to design, develop, and manage robust, secure, and scalable cloud architecture solutions using GCP. Professional-Cloud-Architect exam format consists of multiple-choice and scenario-based questions, and candidates must have a strong understanding of cloud computing concepts and GCP services and tools. Achieving this certification demonstrates expertise in GCP and is particularly valuable for cloud architects, cloud engineers, and solutions architects.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q330-Q335):

NEW QUESTION # 330
Your web application uses Google Kubernetes Engine to manage several workloads. One workload requires a consistent set of hostnames even after pod scaling and relaunches.
Which feature of Kubernetes should you use to accomplish this?

A. Container environment variables
B. Persistent Volumes
C. Role-based access control
D. StatefulSets

Answer: B

NEW QUESTION # 331
You are migrating your on-premises solution to Google Cloud in several phases. You will use Cloud VPN to maintain a connection between your on-premises systems and Google Cloud until the migration is completed. You want to make sure all your on-premises systems remain reachable during this period. How should you organize your networking in Google Cloud?

A. Use the same IP range on Google Cloud as you use on-premises
B. Use an IP range on Google Cloud that does not overlap with the range you use on-premises
C. Use an IP range on Google Cloud that does not overlap with the range you use on-premises for your primary IP range and use a secondary range with the same IP range as you use on- premises
D. Use the same IP range on Google Cloud as you use on-premises for your primary IP range and use a secondary range that does not overlap with the range you use on-premises

Answer: C

NEW QUESTION # 332
Your company is building a new architecture to support its data-centric business focus. You are responsible for setting up the network. Your company's mobile and web-facing applications will be deployed on-premises, and all data analysis will be conducted in GCP. The plan is to process and load 7 years of archived .csv files totaling 900 TB of data and then continue loading 10 TB of data daily. You currently have an existing 100-MB internet connection. What actions will meet your company's needs?

A. Compress and upload both achieved files and files uploaded daily using the qsutil -m option.
B. Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish a connection with Google using a Dedicated Interconnect or Direct Peering connection and use it to upload files daily.
C. Lease a Transfer Appliance, upload archived files to it, and send it, and send it to Google to transfer archived data to Cloud Storage. Establish one Cloud VPN Tunnel to VPC networks over the public internet, and compares and upload files daily using the gsutil -m option.
D. Lease a Transfer Appliance, upload archived files to it, and send it to Google to transfer archived data to Cloud Storage. Establish a Cloud VPN Tunnel to VPC networks over the public internet, and compress and upload files daily.

Answer: B

Explanation:
https://cloud.google.com/solutions/transferring-big-data-sets-to-gcp#close

NEW QUESTION # 333
You have found an error in your App Engine application caused by missing Cloud Datastore indexes. You have created a YAML file with the required indexes and want to deploy these new indexes to Cloud Datastore.
What should you do?

A. In the GCP Console, use Datastore Admin to delete the current indexes and upload the new configuration file
B. Point gcloud datastore create-indexes to your configuration file
C. Create an HTTP request to the built-in python module to send the index configuration file to your application
D. Upload the configuration file the App Engine's default Cloud Storage bucket, and have App Engine detect the new indexes

Answer: B

Explanation:
Explanation
https://cloud.google.com/datastore/docs/tools/indexconfig#Datastore_Updating_indexes

NEW QUESTION # 334
For this question, refer to the TerramEarth case study.
TerramEarth's 20 million vehicles are scattered around the world. Based on the vehicle's location its telemetry data is stored in a Google Cloud Storage (GCS) regional bucket (US. Europe, or Asia). The CTO has asked you to run a report on the raw telemetry data to determine why vehicles are breaking down after
100 K miles. You want to run this job on all the data. What is the most cost-effective way to run this job?

A. Move all the data into 1 zone, then launch a Cloud Dataproc cluster to run the job.
B. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a region bucket and use a Cloud Dataproc cluster to finish the jo
C. Move all the data into 1 region, then launch a Google Cloud Dataproc cluster to run the job.
D. Launch a cluster in each region to preprocess and compress the raw data, then move the data into a multi region bucket and use a Dataproc cluster to finish the job.

Answer: B

Explanation:
Storageguarantees 2 replicates which are geo diverse (100 miles apart) which can get better remote latency and availability.
More importantly, is that multiregional heavily leverages Edge caching and CDNs to provide the content to the end users.
All this redundancy and caching means that Multiregional comes with overhead to sync and ensure consistency between geo-diverse areas. As such, it's much better for write-once-read-many scenarios. This means frequently accessed (e.g. "hot" objects) around the world, such as website content, streaming videos, gaming or mobile applications.
References:
https://medium.com/google-cloud/google-cloud-storage-what-bucket-class-for-the-best-performance-5c847ac8f

NEW QUESTION # 335
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