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Google Professional-Cloud-Architect Certification Exam is a computer-based test that consists of multiple-choice and multiple-select questions. Professional-Cloud-Architect exam duration is two hours, and the passing score is 70%. Professional-Cloud-Architect exam fee is $200, and the certification is valid for two years. Google recommends that candidates take the Architecting with Google Cloud Platform Specialization on Coursera before taking the exam.

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Topics of Google Professional Cloud Architect Exam

Candidates must know the exam topics before they start of preparation.because it will really help them in hitting the core.Our Google Professional Cloud Architect Dumps will include the following topics:

1. Designing and planning a cloud solution architecture

Business requirements considerations

Supporting the application design
Cost optimization
Design decision trade-offs
Build, buy or modify
Compliance and observability
Integration with external systems
Movement of data

Technical requirements considerations

Scalability to meet growth requirements
Elasticity of cloud resources
High availability and failover design
Performance and latency

Network, Storage, and Compute resources Considerations

Integration with on- premises/multi- cloud environments
Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
Choosing data processing technologies
Mapping compute needs to platform products

Creating a migration plan

Licensing mapping
Integrating solution with existing systems
Dependency management planning

Envisioning future solution improvements

Evangelism and advocacy
Cloud and technology improvements
Business needs evolution

2. Managing and provisioning a solution Infrastructure

Configuring network topologies

Extending to on-premises (hybrid networking)
Extending to a multi-cloud environment that may include GCP to GCP communication
Security and data protection

Configuring individual storage systems

Data growth management
Data storage allocation
Data processing/compute provisioning
Data retention and data life cycle management
Security and access management

Configuring compute systems

Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
Container orchestration with Kubernetes
Network configuration for compute nodes
Compute system provisioning
Compute volatility configuration (preemptible vs. standard)

3. Designing for security and compliance

Security considerations

Security controls (e.g., auditing, VPC Service Controls organization policy)
Identity and access management (IAM)
Managing customer- managed encryption keys with Cloud KMS
Separation of duties (SoD)
Data security (key management, encryption)
Penetration testing

compliance Considerations

Commercial (e.g., sensitive data such as credit card information handling, personally identifiable information [PII])
Legislation (e.g., health record privacy, children's privacy, data privacy, and ownership)
Industry certifications (e.g., SOC 2)
Audits (including logs)

4. Analyzing and optimizing technical and business processes

Analyzing and defining technical processes considerations

Business continuity and disaster recovery
Software development life cycle plan (SDLC)
Service catalog and provisioning
Testing and validation
Troubleshooting / post mortem analysis culture

Analyzing and defining business processes. Considerations include:

Team assessment / skills readiness
Cost optimization / resource optimization (capex / opex)
Customer success management

Developing procedures to ensure resilience of solution in production (e.g., chaos engineering)

5. Managing implementation

Advising development/operation team(s) to ensure successful deployment of the solution. considerations

Testing frameworks (load/unit/integration)
Application development
API best practices
Data and system migration tooling

Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq) considerations

Google Cloud Shell
Local installation

6. Ensuring solution and operations reliability

Evaluating quality control measures
Deployment and release management
Monitoring/logging/profiling/alerting solution
Assisting with the support of solutions in operation

Exam Details

The Google Professional Cloud Architect certificate requires one qualifying exam. This test is 2 hours long and consists of the multiple-choice and multiple-select questions. The applicants can take it in English or Japanese, but before registering, they are required to pay the fee of $200. The students can pass the exam online or on-site at one of the testing centers. You should check the certification webpage for more details regarding the registration and testing processes.

Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q31-Q36):

NEW QUESTION # 31
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. Direct them to download and install the Google StackDriver logging agent.
B. Send them a list of online resources about logging best practices.
C. Help them upgrade their current tool to take advantage of any new features.
D. Help them define their requirements and assess viable logging tools.

Answer: D

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 # 32
Your company is designing its data lake on Google Cloud and wants to develop different ingestion pipelines to collect unstructured data from different sources. After the data is stored in Google Cloud, it will be processed in several data pipelines to build a recommendation engine for end users on the website. The structure of the data retrieved from the source systems can change at any time. The data must be stored exactly as it was retrieved for reprocessing purposes in case the data structure is incompatible with the current processing pipelines. You need to design an architecture to support the use case after you retrieve the dat a. What should you do?

A. Store the data in a Cloud Storage bucket. Design the processing pipelines to retrieve the data from the bucket
B. Store the data in a BigQuery table. Design the processing pipelines to retrieve the data from the table.
C. Send the data through the processing pipeline, and then store the processed data in a Cloud Storage bucket for reprocessing.
D. Send the data through the processing pipeline, and then store the processed data in a BigQuery table for reprocessing.

Answer: A

NEW QUESTION # 33
For this question, refer to the JencoMart case study.
The JencoMart security team requires that all Google Cloud Platform infrastructure is deployed using a least privilege model with separation of duties for administration between production and development resources.
What Google domain and project structure should you recommend?

A. Create two G Suite accounts to manage users: one for development/test/staging and one for production.
Each account should contain one project for every application.
B. Create a single G Suite account to manage users with one project for the development/test/staging environment and one project for the production environment.
C. Create two G Suite accounts to manage users: one with a single project for all development applications and one with a single project for all production applications.
D. Create a single G Suite account to manage users with each stage of each application in its own project.

Answer: B

Explanation:
Explanation
Note: The principle of least privilege and separation of duties are concepts that, although semantically different, are intrinsically related from the standpoint of security. The intent behind both is to prevent people from having higher privilege levels than they actually need
* Principle of Least Privilege: Users should only have the least amount of privileges required to perform their job and no more. This reduces authorization exploitation by limiting access to resources such as targets, jobs, or monitoring templates for which they are not authorized.
* Separation of Duties: Beyond limiting user privilege level, you also limit user duties, or the specific jobs they can perform. No user should be given responsibility for more than one related function. This limits the ability of a user to perform a malicious action and then cover up that action.
References: https://cloud.google.com/kms/docs/separation-of-duties

NEW QUESTION # 34
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 named k99.shutdown in the /etc/rc.6.d/ directory.
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 registered as a xinetd service in Linux and configure a Stackdnver endpoint check to call the service.
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:
https://cloud.google.com/compute/docs/shutdownscript

NEW QUESTION # 35
You deploy your custom java application to google app engine.
It fails to deploy and gives you the following stack trace:

A. Digitally sign all of your JAR files and redeploy your application.
B. Recompile the CLoakedServlet class using and MD5 hash instead of SHA1
C. Upload missing JAR files and redeploy your application

Answer: A

NEW QUESTION # 36
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