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Candidates can take the GCP exam online, with the option of taking the exam at a testing center. Professional-Cloud-Architect exam consists of multiple-choice and multiple-select questions, and candidates have two hours to complete the exam. The passing score for the GCP exam is 70%.

Google Professional-Cloud-Architect (Google Certified Professional - Cloud Architect (GCP)) Certification Exam is designed to test the skills and knowledge of cloud architects who work with Google Cloud Platform. It is a globally recognized certification and is highly valued in the industry. Google Certified Professional - Cloud Architect (GCP) certification exam is intended for professionals who have experience in designing and implementing cloud solutions, and who are interested in advancing their careers in cloud architecture.

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To become a Google Certified Professional - Cloud Architect (GCP), a candidate must pass the Professional-Cloud-Architect certification exam. Professional-Cloud-Architect exam consists of multiple-choice and scenario-based questions that test the candidate's ability to design, manage, and secure cloud solutions on GCP. Professional-Cloud-Architect exam is proctored and can be taken online or at a testing center.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q17-Q22):

NEW QUESTION # 17
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. Put flat files into Google Cloud Storage.
  • B. Insert data into Google Cloud SQL.
  • C. Load data into Google BigQuery.
  • D. Stream data into Google Cloud Datastore.

Answer: C

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 # 18
Your company is migrating its on-premises data center into the cloud. As part of the migration, you want to integrate Kubernetes Engine for workload orchestration. Parts of your architecture must also be PCI DSScompliant.
Which of the following is most accurate?

  • A. All Google Cloud services are usable because Google Cloud Platform is certified PCI-compliant.
  • B. Kubernetes Engine and GCP provide the tools you need to build a PCI DSS-compliant environment.
  • C. Kubernetes Engine cannot be used under PCI DSS because it is considered shared hosting.
  • D. App Engine is the only compute platform on GCP that is certified for PCI DSS hosting.

Answer: A

Explanation:
https://cloud.google.com/security/compliance/pci-dss


NEW QUESTION # 19
Your web application must comply with the requirements of the European Union's General Data Protection Regulation (GDPR). You are responsible for the technical architecture of your web application. What should you do?

  • A. Ensure that your web application only uses native features and services of Google Cloud Platform, because Google already has various certifications and provides "pass-on" compliance when you use native features.
  • B. Enable the relevant GDPR compliance setting within the GCPConsole for each of the services in use within your application.
  • C. Ensure that Cloud Security Scanner is part of your test planning strategy in order to pick up any compliance gaps.
  • D. Define a design for the security of data in your web application that meets GDPR requirements.

Answer: D


NEW QUESTION # 20
You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool.
This requires a relational database that can operate on hundreds of terabytes of data. What is the Google recommended tool for such applications?

  • A. Cloud Spanner, because it is globally distributed
  • B. Cloud SQL, because it is a fully managed relational database
  • C. BigQuery, because it is designed for large-scale processing of tabular data
  • D. Cloud Firestore, because it offers real-time synchronization across devices

Answer: A

Explanation:
Reference: https://cloud.google.com/files/BigQueryTechnicalWP.pdf


NEW QUESTION # 21
You want to make a copy of a production Linux virtual machine in the US-Central region. You want to manage and replace the copy easily if there are changes on the production virtual machine. You will deploy the copy as a new instances in a different project in the US-East region. What steps must you take?

  • A. Create a snapshot of the root disk and select the snapshot as the root disk when you create a new virtual machine instance in the US-East region.
  • B. Use the Linux dd and netcat command to copy and stream the root disk contents to a new virtual machine instance in the US-East region.
  • C. Create an image file from the root disk with Linux dd command, create a new disk from the image file, and use it to create a new virtual machine instance in the US-East region
  • D. Create a snapshot of the root disk, create an image file in Google Cloud Storage from the snapshot, and create a new virtual machine instance in the US-East region using the image file for the root disk.

Answer: D


NEW QUESTION # 22
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