Google Certified Professional - Cloud Architect (GCP) : Professional-Cloud-Architect

Designing for Compliance and Security

• Design for compliance: this covers one’s knowledge of legislation (health record privacy, data privacy, ownership, and children’s privacy); commercial (sensitive data handling and personally identifiable information); industry certifications (SOC 2); audits (such as logs).
• Design for security: the learners need to gain knowledge of penetration testing; identity and access management; resource hierarchy; separation of duties; security control; data security; customer-managed encryption key management with Cloud KMS;

The Google Professional Cloud Architect certification validates the individuals’ knowledge and skills required for a successful career in the domain of Cloud architecture. Specifically, this certificate demonstrates that the candidates have the expertise in designing and planning Cloud solution architecture, managing and provisioning Cloud solution infrastructure, designing for security and compliance, and more. To earn this sought-after certification, the applicants need to take a single qualifying test.

Exam Details

The Google Professional Cloud Architect test is timed. The exact number of questions has not been revealed by the vendor. But, it is known that candidates will be given 2 hours to complete the exam, and the questions will be based on multiple-choice and multiple select types. Available languages are English and Japanese, and one should pay $200 as a registration fee. Note that there can be an additional tax.

When it comes to the exam delivery formats, there are two choices for an aspirant. They can either sit for it in a testing center near them or can avail of the online proctoring facility. In both methods, the content and pattern of the test will be the same.

For this exam, a beta version is offered as well. Anyone who wants to save 40% on the total fee or willing to recertify can take it. The cost in this case is $120, the length increases to 3 hours, and some questions may be provided in the form of case studies. Also, pay attention to the fact that the results will be known after 6-8 weeks only.

Reference: https://cloud.google.com/certification/cloud-architect

Target Audience

The certification is aimed at those Cloud Architects who are able to design, manage, and develop robust, scalable, secure, dynamic, and highly available solutions to drive their organizational business objectives. These specialists can perform the following tasks:

• design, plan, and manage Cloud solution architectures;
• manage the implementation of Cloud architecture;
• evaluate and optimize the business and technical processes;
• design for compliance and security;
• ensure the reliability of solutions and operations.

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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

Question #1
You are migrating a large, on-premises application to Google Cloud. The application consists of several interconnected virtual machines. You want to create a detailed migration plan to ensure a smooth migration with minimal effort. You need to understand the existing environment, identify dependencies, and estimate the total cost of ownership (TCO) in the cloud. What should you do?

A. Use the Google Cloud Migration Center to perform an automated discovery and assessment of the on- premises environment.
B. Use the Google Cloud pricing calculator to input the specifications of your on-premises servers and receive a TCO estimate.
C. Use Config Connector to declare the desired state of your Google Cloud resources in Kubernetes-style manifests.
D. Write a custom script to query the vSphere API for virtual machine information and then import it into BigQuery for analysis.

Question #2
You need to deploy a stateful workload on Google Cloud. The workload can scale horizontally, but each instance needs to read and write to the same POSIX filesystem. At high load, the stateful workload needs to support up to 100 MB/s of writes. What should you do?

A. Create a Cloud Storage bucket and mount it in each instance using gcsfuse.
B. Use a regional persistent disk for each instance.
C. Use a persistent disk for each instance.
D. Create a Cloud Filestore instance and mount it in each instance.

Question #3
You are implementing the infrastructure for a web service on Google Cloud. The web service needs to receive and store the data from 500,000 requests per second. The data will be queried later in real time, based on exact matches of a known set of attributes. There will be periods where the web service will not receive any requests. The business wants to keep costs low. Which web service platform and database should you use for the application?

A. A Compute Engine autoscaling managed instance group and Cloud Bigtable
B. A Compute Engine autoscaling managed instance group and BigQuery
C. Cloud Run and Cloud Bigtable
D. Cloud Run and BigQuery

Question #4
You have found an error in your App Engine application caused by missing Cloud Datastore indexes. You have created a YAML file with the required indexes and want to deploy these new indexes to Cloud Datastore.
What should you do?

A. In the GCP Console, use Datastore Admin to delete the current indexes and upload the new configuration file
B. Create an HTTP request to the built-in python module to send the index configuration file to your application
C. Point gcloud datastore create-indexes to your configuration file
D. Upload the configuration file the App Engine's default Cloud Storage bucket, and have App Engine detect the new indexes

Question #5
For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their current analytics and statistics reporting model to one that meets their technical requirements on Google Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

A. Write a schema migration plan to denormalize data for better performance in BigQuery.
B. Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL cluster.
C. Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to Cloud Storage.
D. Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries against the full dataset to confirm that they complete successfully.
E. Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.

Solutions: