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The Google Professional-Cloud-Architect certification is a valuable certification for professionals who work with GCP. The certification is designed to test the candidate's knowledge and skills in designing, developing, and managing secure, scalable, and reliable solutions on the GCP. The certification is highly regarded in the industry and is recognized by many organizations. Passing the certification exam is a testament to the candidate's expertise in GCP and their ability to design and implement solutions that meet the needs of organizations.

Google Professional-Cloud-Architect Exam Syllabus Topics:

TopicDetails
Topic 1
  • Managing and Provisioning Solution Infrastructure
  • Configuring Network Topologies, Extending to on-Premise|Extending to a Multi-Cloud Environment Which May Include GCP to GCP Communication
  • Configuring Individual Storage Systems
Topic 2
  • Envisioning Future Solution Improvements
  • Cloud and Technology Improvements
  • Evangelism and Advocacy
Topic 3
  • Cloud Native Networking (VPC, Peering, Firewalls, Container Networking)
  • Identification of Data Processing Pipeline
Topic 4
  • Creating a Migration Plan (i.e., documents and architectural diagrams)
  • Integrating Solution with Existing Systems
Topic 5
  • Analyzing and Pptimizing Technical and Business Processes
  • Analyzing and Defining Technical Processes, Software Development Lifecycle Plan
Topic 6
  • Managing Implementation
  • Ensuring Solution and Operations Reliability
  • Deployment and Release Management

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q188-Q193):

NEW QUESTION # 188
You write a Python script to connect to Google BigQuery from a Google Compute Engine virtual machine.
The script is printing errors that it cannot connect to BigQuery.
What should you do to fix the script?

  • A. Install the bq component for gcloud with the command gcloud components install bq.
  • B. Install the latest BigQuery API client library for Python
  • C. Run your script on a new virtual machine with the BigQuery access scope enabled
  • D. Create a new service account with BigQuery access and execute your script with that user

Answer: B

Explanation:
Explanation/Reference:
Explanation:
Applications that use BigQuery must be associated with a Google Cloud Platform Console project with the BigQuery API enabled.
Reference: https://cloud.google.com/bigquery/create-simple-app-api


NEW QUESTION # 189
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.

  • A. Use Cloud Audit Logging to view Cloud Audit Logs, and create a filter on the query operation to get the
  • B. Use 'bq show' to list all jobs. Per job, use 'bq Is' to list job information and get the required information.
  • C. Connect Google Data Studio to BigQuery. Create a dimension for the users and a metric for the amount of queries per user.
  • D. In the BigQuery interface, execute a query on the JOBS table to get the required information.

Answer: B

Explanation:
required information.
Explanation:
https://cloud.google.com/bigquery/docs/managing-jobs


NEW QUESTION # 190
You are implementing Firestore for Mountkirk Games. Mountkirk Games wants to give a new game programmatic access to a legacy game's Firestore database. Access should be as restricted as possible. What should you do?

  • A. Create a service account (SA) in the legacy game's Google Cloud project, add this SA in the new game's IAM page, and then give it the Firebase Admin role in both projects
  • B. Create a service account (SA) in the lgacy game's Google Cloud project, give the SA the Organization Admin rule and then give it the Firebase Admin role in both projects
  • C. Create a service account (SA) in the legacy game's Google Cloud project, give it the Firebase Admin role, and then migrate the new game to the legacy game's project.
  • D. Create a service account (SA) in the legacy game's Google Cloud project, add a second SA in the new game's IAM page, and then give the Organization Admin role to both SAs

Answer: A


NEW QUESTION # 191
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly. Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?

  • A. Google Kubernetes Registry, Google Container Engine, Google HTTP(S) Load Balancer
  • B. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
  • C. Google Cloud Storage, Google App Engine, Google Network Load Balancer
  • D. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine

Answer: A


NEW QUESTION # 192
You have created several preemptible Linux virtual machine instances using Google Compute Engine. You want to properly shut down your application before the virtual machines are preempted.
What should you do?

  • A. Create a shutdown script registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
  • B. Create a shutdown script, registered as a xinetd service in Linux, and use the gcloud compute instances add-metadata command to specify the service URL as the value for a new metadata entry with the key shutdown-script-url
  • C. Create a shutdown script named k99.shutdown in the /etc/rc.6.d/ directory.
  • D. Create a shutdown script and use it as the value for a new metadata entry with the key shutdown-script in the Cloud Platform Console when you create the new virtual machine instance.

Answer: D

Explanation:
Running Shutdown Scripts: Create and run shutdown scripts that execute commands right before an instance is terminated or restarted, on a best-effort basis. This is useful if you rely on automated scripts to start up and shut down instances, allowing instances time to clean up or perform tasks, such as exporting logs, or syncing with other systems.
https://cloud.google.com/compute/docs/shutdownscript
To setup Shutdown Scripts, go to GCP console and follow the steps:
Compute Engine -> VM instance -> Create Instance -> (Expand) Management, disks, networking, SSH keys Enter the key "shutdown-script" and proper value


NEW QUESTION # 193
......

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