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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Analyzing and optimizing technical and business processes	15%	- Streamlining operational workflows 1. Stakeholder communication and alignment 2. Change management and incident response - Optimizing cost and resource efficiency 1. Resource right-sizing and usage monitoring 2. Committed use discounts and pricing models - Improving reliability and performance 1. SLO, SLA, and error budgeting 2. Latency reduction and throughput optimization
Managing and provisioning solution infrastructure	15%	- Provisioning and managing compute resources 1. VMs, GKE, App Engine, Cloud Run deployment and management 2. Auto-scaling and resource management - Configuring network topologies and connectivity 1. Load balancing and CDN configuration 2. VPC design, peering, and hybrid connectivity - Managing storage and data services 1. Database deployment, replication, and backup 2. Cloud Storage, Filestore, Persistent Disk management
Designing and planning a cloud solution architecture	25%	- Planning cloud migration and hybrid/multi-cloud environments 1. Data transfer and synchronization 2. Migration planning and execution 3. Interoperability and integration design - Evaluating and selecting Google Cloud services 1. Compute, storage, database, and networking service selection 2. Serverless and managed service adoption - Designing cloud solution infrastructure aligned with business requirements 1. Compliance and regulatory requirements consideration 2. Cost optimization strategies 3. Scalability, high availability, and fault tolerance design
Managing implementation	12.5%	- Testing and validating solutions 1. Disaster recovery and failover testing 2. Functional, performance, and security testing - Guiding development and deployment teams 1. CI/CD pipelines and automation 2. Application and infrastructure deployment strategies - Using Google Cloud tools and APIs programmatically 1. Infrastructure as Code (Terraform, Deployment Manager) 2. Cloud SDK, Cloud Shell, and Cloud Code
Ensuring solution and operations excellence	12.5%	- Planning for continuous improvement 1. Feedback loops and optimization cycles 2. Technology updates and architecture evolution - Applying Well-Architected Framework principles 1. Operational excellence, reliability, security, cost, and performance pillars - Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis
Designing for security and compliance	17.5%	- Enforcing compliance and governance 1. VPC Service Controls and security perimeters 2. Security controls, auditing, and logging - Securing data and communications 1. Key management and secret security 2. Encryption at rest and in transit - Implementing identity and access management 1. Organizational policies and resource hierarchy 2. IAM roles, permissions, and service accounts

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q309-Q314):

NEW QUESTION # 309
One of the developers on your team deployed their application In Google Container Engine with the Dockerfile below. They report that their application deployments are taking too long.

You want to optimize this Dockerfile for faster deployment times without adversely affecting the app's functionality. Which two actions should you take? Choose 2 answers

A. Copy the source after the package dependencies (Python and pip) are installed.
B. Remove Python after running pip.
C. Remove dependencies from requirements.txt.
D. Use larger machine types for your Google Container Engine node pools.
E. Use a slimmed-down base image like Alpine linux.

Answer: A,E

Explanation:
The speed of deployment can be changed by limiting the size of the uploaded app, limiting the complexity of the build necessary in the Dockerfile, if present, and by ensuring a fast and reliable internet connection.
Note: Alpine Linux is built around musl libc and busybox. This makes it smaller and more resource efficient than traditional GNU/Linux distributions. A container requires no more than 8 MB and a minimal installation to disk requires around 130 MB of storage. Not only do you get a fully-fledged Linux environment but a large selection of packages from the repository.
References: https://groups.google.com/forum/#!topic/google-appengine/hZMEkmmObDU
https://www.alpinelinux.org/about/

NEW QUESTION # 310
You deploy your custom Java application to Google App Engine. It fails to deploy and gives you the following stack trace.
What should you do?

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

Answer: B

NEW QUESTION # 311
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

A. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Create a mysqldump of the on-premises MySQL server.
4. Upload the dump to a Cloud Storage bucket.
5. Import the dump into Cloud SQL.
6. Modify the source code of the application to write queries to both databases and read from its local database.
7. Start the Compute Engine application.
8. Stop the on-premises application.
B. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4. Create the replication configuration in Cloud SQL.
5. Configure the source database server to accept connections from the Cloud SQL replica.
6. Finalize the Cloud SQL replica configuration.
7. When replication has been completed, stop the Compute Engine application.
8. Promote the Cloud SQL replica to a standalone instance.
9. Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.
C. 1. Set up Cloud SQL proxy and MySQL proxy.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Stop the on-premises application.
6. Start the Compute Engine application.
D. 1. Stop the on-premises application.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Start the application on Compute Engine.

Answer: B

Explanation:
External replica promotion migration In the migration strategy of external replica promotion, you create an external database replica and synchronize the existing data to that replic a. This can happen with minimal downtime to the existing database. When you have a replica database, the two databases have different roles that are referred to in this document as primary and replica. After the data is synchronized, you promote the replica to be the primary in order to move the management layer with minimal impact to database uptime. In Cloud SQL, an easy way to accomplish the external replica promotion is to use the automated migration workflow. This process automates many of the steps that are needed for this type of migration.
https://cloud.google.com/architecture/migrating-mysql-to-cloudsql-concept
- The best option for migrating your MySQL database is to use an external replica promotion. In this strategy, you create a replica database and set your existing database as the primary. You wait until the two databases are in sync, and you then promote your MySQL replica database to be the primary. This process minimizes database downtime related to the database migration. - https://cloud.google.com/architecture/migrating-mysql-to-cloudsql-concept#external_replica_promotion_migration

NEW QUESTION # 312
Your agricultural division is experimenting with fully autonomous vehicles.
You want your architecture to promote strong security during vehicle operation.
Which two architecture should you consider?
Choose 2 answers:

A. Use a trusted platform module (TPM) and verify firmware and binaries on boot.
B. Enclose the vehicle's drive electronics in a Faraday cage to isolate chips.
C. Use a functional programming language to isolate code execution cycles.
D. Treat every micro service call between modules on the vehicle as untrusted.
E. Require IPv6 for connectivity to ensure a secure address space.
F. Use multiple connectivity subsystems for redundancy.

Answer: A,D

Explanation:
Reference:

NEW QUESTION # 313
Your company wants you to build a highly reliable web application with a few public APIs as the backend.
You don't expect a lot of user traffic, but traffic could spike occasionally. You want to leverage Cloud Load Balancing, and the solution must be cost-effective for users. What should you do?

A. Store static content such as HTML and images in a Cloud Storage bucket. Use Cloud Functions to host the APIs and save the user data in Firestore.
B. Store static content such as HTML and images in Cloud CDN. Use Cloud Run to host the APIs and save the user data in Cloud SQL.
C. Store static content such as HTML and images in Cloud CDN. Host the APIs on App Engine and store the user data in Cloud SQL.
D. Store static content such as HTML and images in a Cloud Storage bucket. Host the APIs on a zonal Google Kubernetes Engine cluster with worker nodes in multiple zones, and save the user data in Cloud Spanner.

Answer: A

Explanation:
https://cloud.google.com/load-balancing/docs/https/setting-up-https-serverless#gcloud:-cloud-functions
https://cloud.google.com/blog/products/networking/better-load-balancing-for-app-engine-cloud-run-and-functions

NEW QUESTION # 314
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