Dumps Google Professional-Cloud-Architect Collection, Professional-Cloud-Architect Real Exam Answers

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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Topic 1: Analyze and optimize technical and business processes	- Monitor, log, and optimize system performance - Optimize cost and resource usage
Topic 2: Design for security and compliance	- Implement identity and access management (IAM) - Configure data protection and encryption
Topic 3: Manage implementations of cloud architecture	- Ensure solution reliability and operational excellence - Manage deployment and production systems
Topic 4: Design and plan a cloud solution architecture	- Design Google Cloud solutions based on business requirements - Plan security and compliance requirements - Design for reliability, scalability, and availability
Topic 5: Manage and provision the solution infrastructure	- Provision compute, storage, and network resources - Automate infrastructure deployment

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Professional-Cloud-Architect Real Exam Answers & Professional-Cloud-Architect Test Collection

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q286-Q291):

NEW QUESTION # 286
You are building a continuous deployment pipeline for a project stored in a Git source repository and want to ensure that code changes can be verified deploying to production. What should you do?

A. Use Spinnaker to deploy builds to production using the red/black deployment strategy so that changes can easily be rolled back.
B. Use Spinnaker to deploy builds to production and run tests on production deployments.
C. Use Jenkins to build the staging branches and the master branch. Build and deploy changes to production for 10% of users before doing a complete rollout.
D. Use Jenkins to monitor tags in the repository. Deploy staging tags to a staging environment for testing.
After testing, tag the repository for production and deploy that to the production environment.

Answer: D

Explanation:
Automation Jenkins can monitor Git repo

NEW QUESTION # 287
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting.
There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. The data from the motion detector includes only a sensor ID and several different discrete items of information. Analysts will use this data, together with information about account owners and office locations. Which database type should you use?

A. Relational
B. Blobstore
C. NoSQL
D. Flat file

Answer: C

Explanation:
Explanation
Relational databases were not designed to cope with the scale and agility challenges that face modern applications, nor were they built to take advantage of the commodity storage and processing power available today.
NoSQL fits well for:
Developers are working with applications that create massive volumes of new, rapidly changing data types - structured, semi-structured, unstructured and polymorphic data.

NEW QUESTION # 288
You need to build a continuous delivery pipeline tor a containerized application in Google Cloud. You want to run all your tests in the pipeline to Improve your application ' s quality. What should you do?

A. 1. After the developers push the code to a central repository, trigger Cloud Build to run unit tests If all unit tests are successful, build the application container and push it to a central registry.
2. Trigger Cloud Build to deploy the container to a testing environment and run integration tests and acceptance tests
3. If all tests are successful, deploy the application to the production environment and run the smoke tests
B. 1. Automatically run unit tests in a local environment once the code is changed It all tests are successful, build a container.
2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests.
3. If all tests are successful, tag the code as production ready. Trigger Cloud Build to build and deploy the container to the production environment.
C. 1. Alter the developers push the code to a central repository, trigger Cloud Build to build the application container. Then run unit tests
2. If unit tests are successful, deploy the container to a testing environment and run integration tests.
3. If the integration tests are successful, deploy the container to a production environment and run acceptance tests.
D. 1. Run unit tests in the developer ' s local environment before committing and pushing the code to a central repository
2. After the code is pushed, trigger Cloud Build to build the application container and deploy the container to a testing environment, and run integration tests
3. If the integration tests are successful, deploy the container to your production environment and run acceptance tests.

Answer: A

Explanation:
The most efficient pipeline follows the " Fail Fast " principle (Option A). You should run unit tests before the expensive and time-consuming process of building a container image. If the code logic is broken, the build should fail immediately. Once the image is built and stored, it is deployed to a Testing Environment for integration and acceptance tests to ensure it works within the system architecture. Finally, after deploying to Production , you run smoke tests (basic health checks) to ensure the live environment is stable. Options C and D are less ideal because they either suggest running acceptance tests after reaching production or skipping local validation steps, which increases the risk of deploying broken code to users.

NEW QUESTION # 289
You want to allow your operations team to store logs from all the production projects in your Organization, without including logs from other projects. All of the production projects are contained in a folder. You want to ensure that all logs for existing and new production projects are captured automatically. What should you do?

A. Create log exports in the production projects. Set the log sinks to be BigQuery datasets in the production projects, and grant IAM access to the operations team to run queries on the datasets.
B. Create an aggregated export on the Production folder. Set the log sink to be a Cloud Storage bucket in an operations project.
C. Create an aggregated export on the Organization resource. Set the log sink to be a Cloud Storage bucket in an operations project.
D. Create log exports in the production projects. Set the log sinks to be a Cloud Storage bucket in an operations project.

Answer: B

Explanation:
https://cloud.google.com/logging/docs/export/aggregated_sinks
Aggregated sinks combine and route log entries from the Google Cloud resources contained by an organization or folder.

NEW QUESTION # 290
An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a bettor tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs, what should you do?

A. Send them a list of online resources about logging best practices.
B. Help them define their requirements and assess viable logging tools.
C. Help them upgrade their current tool to take advantage of any new features.
D. Direct them to download and install the Google StackDriver logging agent.

Answer: B

Explanation:
Help them define their requirements and assess viable logging tools. They know the requirements and the existing tools' problems. While it's true StackDriver Logging and Error Reporting possibly meet all their requirements, there might be other tools also meet their need. They need you to provide expertise to make assessment for new tools, specifically, logging tools that can "capture errors and help them analyze their historical log data"

NEW QUESTION # 291
......

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