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The certification exam consists of multiple-choice questions that evaluate the candidate's knowledge and understanding of GCP. The exam is divided into different sections, and each section focuses on a specific area of GCP. The exam covers topics such as GCP infrastructure, networking, security, data storage, data processing, and application development. To pass the exam, the candidate must score at least 70% on the exam.

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Professional-Cloud-Architect Latest Test Question | New Professional-Cloud-Architect Test Objectives

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Google Professional Cloud Architect Certification Path

The Google Professional Cloud Architect Certification is the highest level of certification mainly focussing to the Solution Architect Professional.There is no prerequisite for this exam but still it would be best to follow some sequence in order to prove immense knowledge as a Google professional Cloud Architect.You can complete Google Associate Certifications then approach for the professional certification. For more information related to Google cloud certification track Google-certification-path

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q26-Q31):

NEW QUESTION # 26
For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?

  • A. Google Cloud SQL
  • B. Google BigQuery
  • C. Cloud Spanner
  • D. Google Cloud Datastore

Answer: D

Explanation:
https://cloud.google.com/datastore/docs/concepts/overview
Common workloads for Google Cloud Datastore:
User profiles
Product catalogs
Game state
References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview


NEW QUESTION # 27
You are helping the QA team to roll out a new load-testing tool to test the scalability of your primary cloud services that run on Google Compute Engine with Cloud Bigtable. Which three requirements should they include? Choose 3 answers

  • A. Ensure that the load tests validate the performance of Cloud Bigtable.
  • B. Create a separate Google Cloud project to use for the load-testing environment.
  • C. Schedule the load-testing tool to regularly run against the production environment.
  • D. Instrument the load-testing tool and the target services with detailed logging and metrics collection.
  • E. Ensure all third-party systems your services use are capable of handling high load.
  • F. Instrument the production services to record every transaction for replay by the load- testing tool.

Answer: A,C,E


NEW QUESTION # 28
Your development team has created a structured API to retrieve vehicle data. They want to allow third parties to develop tools for dealerships that use this vehicle event data. You want to support delegated authorization against this data.
What should you do?

  • A. Build SAML 2.0 SSO compatibility into your authentication system
  • B. Restrict data access based on the source IP address of the partner systems
  • C. Build or leverage an OAuth-compatible access control system
  • D. Create secondary credentials for each dealer that can be given to the trusted third party

Answer: C

Explanation:
Delegate application authorization with OAuth2
Cloud Platform APIs support OAuth 2.0, and scopes provide granular authorization over the methods that are supported. Cloud Platform supports both service-account and user-account OAuth, also called three-legged OAuth.
Reference: https://cloud.google.com/docs/enterprise/best-practices-for-enterprise- organizations#delegate_application_authorization_with_oauth2
https://cloud.google.com/appengine/docs/flexible/go/authorizing-apps


NEW QUESTION # 29
Your company is using BigQuery as its enterprise data warehouse. Data is distributed over several Google Cloud projects. All queries on BigQuery need to be billed on a single project. You want to make sure that no query costs are incurred on the projects that contain the data. Users should be able to query the datasets, but not edit them.
How should you configure users' access roles?

  • A. Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery user on the projects that contain the data.
  • B. Add all users to a group. Grant the group the roles of BigQuery dataViewer on the billing project and BigQuery jobUser on the projects that contain the data.
  • C. Add all users to a group. Grant the group the roles of BigQuery jobUser on the billing project and BigQuery dataViewer on the projects that contain the data.
  • D. Add all users to a group. Grant the group the role of BigQuery user on the billing project and BigQuery dataViewer on the projects that contain the data.

Answer: C

Explanation:
https://cloud.google.com/bigquery/docs/running-queries
JobUser allow to run query while BigQuery DataViewer only READ ONLY


NEW QUESTION # 30
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. Persistent Volumes
  • B. Container environment variables
  • C. Role-based access control
  • D. StatefulSets

Answer: A


NEW QUESTION # 31
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Professional-Cloud-Architect Latest Test Question: https://www.examboosts.com/Google/Professional-Cloud-Architect-practice-exam-dumps.html

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