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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Ensuring solution and operations excellence	12.5%	- Implementing monitoring, logging, and observability 1. Cloud Monitoring, Logging, and Error Reporting 2. Alerting, dashboarding, and root cause analysis - Applying Well-Architected Framework principles 1. Operational excellence, reliability, security, cost, and performance pillars - Planning for continuous improvement 1. Technology updates and architecture evolution 2. Feedback loops and optimization cycles
Topic 2: Managing and provisioning solution infrastructure	15%	- Configuring network topologies and connectivity 1. VPC design, peering, and hybrid connectivity 2. Load balancing and CDN configuration - Managing storage and data services 1. Database deployment, replication, and backup 2. Cloud Storage, Filestore, Persistent Disk management - Provisioning and managing compute resources 1. Auto-scaling and resource management 2. VMs, GKE, App Engine, Cloud Run deployment and management
Topic 3: Designing for security and compliance	17.5%	- Implementing identity and access management 1. IAM roles, permissions, and service accounts 2. Organizational policies and resource hierarchy - Enforcing compliance and governance 1. VPC Service Controls and security perimeters 2. Security controls, auditing, and logging - Securing data and communications 1. Encryption at rest and in transit 2. Key management and secret security
Topic 4: Managing implementation	12.5%	- Testing and validating solutions 1. Functional, performance, and security testing 2. Disaster recovery and failover testing - Using Google Cloud tools and APIs programmatically 1. Infrastructure as Code (Terraform, Deployment Manager) 2. Cloud SDK, Cloud Shell, and Cloud Code - Guiding development and deployment teams 1. CI/CD pipelines and automation 2. Application and infrastructure deployment strategies
Topic 5: Designing and planning a cloud solution architecture	25%	- Evaluating and selecting Google Cloud services 1. Serverless and managed service adoption 2. Compute, storage, database, and networking service selection - Planning cloud migration and hybrid/multi-cloud environments 1. Interoperability and integration design 2. Migration planning and execution 3. Data transfer and synchronization - Designing cloud solution infrastructure aligned with business requirements 1. Cost optimization strategies 2. Compliance and regulatory requirements consideration 3. Scalability, high availability, and fault tolerance design
Topic 6: Analyzing and optimizing technical and business processes	15%	- Optimizing cost and resource efficiency 1. Committed use discounts and pricing models 2. Resource right-sizing and usage monitoring - Streamlining operational workflows 1. Change management and incident response 2. Stakeholder communication and alignment - Improving reliability and performance 1. Latency reduction and throughput optimization 2. SLO, SLA, and error budgeting

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q107-Q112):

NEW QUESTION # 107

The migration of JencoMart's application to Google Cloud Platform (GCP) is progressing too slowly. The infrastructure is shown in the diagram. You want to maximize throughput.
What are three potential bottlenecks? (Choose three.)

A. A copy command that is not suited to operate over long distances
B. Fewer virtual machines (VMs) in GCP than on-premises machines
C. A single VPN tunnel, which limits throughput
D. A tier of Google Cloud Storage that is not suited for this task
E. Complicated internet connectivity between the on-premises infrastructure and GCP
F. A separate storage layer outside the VMs, which is not suited for this task

Answer: A,C,F

NEW QUESTION # 108
To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department.
Which two steps should you take? (Choose two.)

A. Apply VM CPU utilization label and include it in the BigQuery billing export
B. Use the - -no-auto-delete flag on all persistent disks and stop the VM
C. Use the - -auto-delete flag on all persistent disks and terminate the VM
D. Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM
E. Use Google BigQuery billing export and labels to associate cost to groups
F. Store all state into local SSD, snapshot the persistent disks, and terminate the VM

Answer: B,E

NEW QUESTION # 109
For this question, refer to the TerramEarth case study.
To speed up data retrieval, more vehicles will be upgraded to cellular connections and be able to transmit data to the ETL process. The current FTP process is error-prone and restarts the data transfer from the start of the file when connections fail, which happens often. You want to improve the reliability of the solution and minimize data transfer time on the cellular connections. What should you do?

A. Use one Google Container Engine cluster of FTP servers. Save the data to a Multi- Regional bucket. Run the ETL process using data in the bucket.
B. Directly transfer the files to a different Google Cloud Regional Storage bucket location in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process to retrieve the data from each Regional bucket.
C. Use multiple Google Container Engine clusters running FTP servers located in different regions. Save the data to Multi-Regional buckets in us, eu, and asia. Run the ETL process using the data in the bucket.
D. Directly transfer the files to different Google Cloud Multi-Regional Storage bucket locations in us, eu, and asia using Google APIs over HTTP(S). Run the ETL process using the data in the bucket.

Answer: B

Explanation:
Topic 3, JencoMart Case Study
Company Overview
JencoMart is a global retailer with over 10,000 stores in 16 countries. The stores carry a range of goods, such as groceries, tires, and jewelry. One of the company's core values is excellent customer service. In addition, they recently introduced an environmental policy to reduce their carbon output by 50% over the next 5 years.
Company Background
JencoMart started as a general store in 1931, and has grown into one of the world's leading brands known for great value and customer service. Over time, the company transitioned from only physical stores to a stores and online hybrid model, with 25% of sales online. Currently, JencoMart has little presence in Asia, but considers that market key for future growth.
Solution Concept
JencoMart wants to migrate several critical applications to the cloud but has not completed a technical review to determine their suitability for the cloud and the engineering required for migration. They currently host all of these applications on infrastructure that is at its end of life and is no longer supported.
Existing Technical Environment
JencoMart hosts all of its applications in 4 data centers: 3 in North American and 1 in Europe, most applications are dual-homed.
JencoMart understands the dependencies and resource usage metrics of their on-premises architecture.
Application Customer loyalty portal
LAMP (Linux, Apache, MySQL and PHP) application served from the two JencoMart- owned U.S. data centers.
Database
* Oracle Database stores user profiles
* 20 TB
* Complex table structure
* Well maintained, clean data
* Strong backup strategy
* PostgreSQL database stores user credentials
* Single-homed in US West
No redundancy
Backed up every 12 hours
* 100% uptime service level agreement (SLA)
* Authenticates all users
Compute
* 30 machines in US West Coast, each machine has:
Twin, dual core CPUs
32GB of RAM
* Twin 250 GB HDD (RAID 1)
* 20 machines in US East Coast, each machine has:
Single dual-core CPU
2 4 GB of RAM
* Twin 250 GB HDD (RAID 1)
Storage
* Access to shared 100 TB SAN in each location
* Tape backup every week
Business Requirements
* Optimize for capacity during peak periods and value during off-peak periods
* Guarantee service availably and support
* Reduce on-premises footprint and associated financial and environmental impact.
* Move to outsourcing model to avoid large upfront costs associated with infrastructure purchase
* Expand services into Asia.
Technical Requirements
* Assess key application for cloud suitability.
* Modify application for the cloud.
* Move applications to a new infrastructure.
* Leverage managed services wherever feasible
* Sunset 20% of capacity in existing data centers
* Decrease latency in Asia
CEO Statement
JencoMart will continue to develop personal relationships with our customers as more people access the web. The future of our retail business is in the global market and the connection between online and in-store experiences. As a large global company, we also have a responsibility to the environment through 'green' initiatives and polices.
CTO Statement
The challenges of operating data centers prevents focus on key technologies critical to our long-term success. Migrating our data services to a public cloud infrastructure will allow us to focus on big data and machine learning to improve our service customers.
CFO Statement
Since its founding JencoMart has invested heavily in our data services infrastructure.
However, because of changing market trends, we need to outsource our infrastructure to ensure our long-term success. This model will allow us to respond to increasing customer demand during peak and reduce costs.

NEW QUESTION # 110
You are using a single Cloud SQL instance to serve your application from a specific zone. You want to introduce high availability. What should you do?

A. Create a read replica instance in a different region
B. Create a read replica instance in the same region, but in a different zone
C. Create a failover replica instance in a different region
D. Create a failover replica instance in the same region, but in a different zone

Answer: C

Explanation:
Explanation
Reference https://cloud.google.com/sql/docs/mysql/configure-ha

NEW QUESTION # 111
For this question, refer to the JencoMart case study
A few days after JencoMart migrates the user credentials database to Google Cloud Platform and shuts down the old server, the new database server stops responding to SSH connections. It is still serving database requests to the application servers correctly. What three steps should you take to diagnose the problem?
Choose 3 answers

A. Take a snapshot of the disk and connect to a new machine to investigate.
B. Delete the instance, attach the disk to a new VM, and investigate.
C. Check inbound firewall rules for the network the machine is connected to.
D. Print the Serial Console output for the instance for troubleshooting, activate the interactive console, and investigate.
E. Connect the machine to another network with very simple firewall rules and investigate.
F. Delete the virtual machine (VM) and disks and create a new one.

Answer: A,C,D

Explanation:
https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh D: Handling "Unable to connect on port 22" error message Possible causes include:
There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.
The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.
References:
https://cloud.google.com/compute/docs/ssh-in-browser
https://cloud.google.com/compute/docs/ssh-in-browser

NEW QUESTION # 112
......

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