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To be eligible for the Professional-Cloud-Architect exam, candidates should have at least three years of experience in cloud architecture and a deep understanding of GCP services. They should also be familiar with cloud design patterns and best practices, as well as have experience with security and compliance requirements. Professional-Cloud-Architect Exam is designed to test candidates on real-world scenarios and is intended to validate their ability to design, develop, and manage solutions on GCP.

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The Google Professional-Cloud-Architect exam is made up of multiple-choice questions that cover a range of topics, including cloud architecture, security, networking, and data management. Candidates are expected to have a strong understanding of cloud computing technologies and best practices, as well as the ability to apply this knowledge to real-world scenarios. Professional-Cloud-Architect Exam is designed to be challenging, with a passing score of 70% required to earn the certification.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q211-Q216):

NEW QUESTION # 211
Your marketing department wants to send out a promotional email campaign. The development team wants to minimize direct operation management. They project a wide range of possible customer responses, from 100 to 500,000 click-throughs per day. The link leads to a simple website that explains the promotion and collects user information and preferences. Which infrastructure should you recommend?

A. Use a managed instance group to serve the website and Google Cloud Bigtable to store user data.
B. Use a single compute Engine virtual machine (VM) to host a web server, backed by Google Cloud SQL.
C. Use a Google Container Engine cluster to serve the website and store data to persistent disk.
D. Use Google App Engine to serve the website and Google Cloud Datastore to store user data.

Answer: D

Explanation:
Explanation

References: https://cloud.google.com/storage-options/

NEW QUESTION # 212
Your customer runs a web service used by e-commerce sites to offer product recommendations to users. The company has begun experimenting with a machine learning model on Google Cloud Platform to improve the quality of results.
What should the customer do to improve their model's results over time?

A. Save a history of recommendations and results of the recommendations in BigQuery, to be used as training data.
B. Monitor Compute Engine announcements for availability of newer CPU architectures, and deploy the model to them as soon as they are available for additional performance.
C. Export Cloud Machine Learning Engine performance metrics from Stackdriver to BigQuery, to be used to analyze the efficiency of the model.
D. Build a roadmap to move the machine learning model training from Cloud GPUs to Cloud TPUs, which offer better results.

Answer: A

Explanation:
Reference:
https://cloud.google.com/solutions/building-a-serverless-ml-model

NEW QUESTION # 213
Your company plans to migrate a multi-petabyte data set to the cloud. The data set must be available 24hrs a day. Your business analysts have experience only with using a SQL interface.
How should you store the data to optimize it for ease of analysis?

A. Load data into Google BigQuery.
B. Stream data into Google Cloud Datastore.
C. Put flat files into Google Cloud Storage.
D. Insert data into Google Cloud SQL.

Answer: A

Explanation:
Google Big Query is for multi peta byte storage , HA(High availability) which means 24 hours, SQL interface .
https://medium.com/google-cloud/the-12-components-of-google-bigquery-c2b49829a7c7
https://cloud.google.com/solutions/bigquery-data-warehouse
https://cloud.google.com/bigquery/

NEW QUESTION # 214
You have an application deployed on Kubernetes Engine using a Deployment named echo-deployment. The deployment is exposed using a Service called echo-service. You need to perform an update to the application with minimal downtime to the application. What should you do?

A. Update the service yaml file which the new container image. Use kubect1 delete service/echoservice and kubect1 create -f <yaml-file>
B. Use the rolling update functionality of the Instance Group behind the Kubernetes cluster
C. Use kubect1 set image deployment/echo-deployment <new-image>
D. Update the deployment yaml file with the new container image. Use kubect1 delete deployment/ echo-deployment and kubect1 create -f <yaml-file>

Answer: C

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/how-to/updating-apps#updating_an_application

NEW QUESTION # 215
You are deploying a PHP App Engine Standard service with SQL as the backend. You want to minimize the number of queries to the database.
What should you do?

A. Set the memcache service level to dedicated. Create a cron task that runs every minute to populate the cache with keys containing query results.
B. Set the memcache service level to dedicated. Create a key from the hash of the query, and return database values from memcache before issuing a query to Cloud SQL.
C. Set the memcache service level to shared. Create a key called "cached-queries", and return database values from the key before using a query to Cloud SQL.
D. Set the memcache service level to shared. Create a cron task that runs every minute to save all expected queries to a key called "cached-queries".

Answer: B

NEW QUESTION # 216
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