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Google Professional-Cloud-Architect Exam Syllabus Topics:

Section	Objectives
Managing and provisioning a solution infrastructure	- Configuring network topologies 1. VPC design and peering 2. Hybrid and multi-cloud connectivity 3. Private access and VPN configuration - Configuring individual storage systems 1. Datastore and Bigtable 2. Cloud SQL and Spanner 3. Cloud Storage configuration - Configuring compute systems 1. Cloud Run and Cloud Functions 2. Compute Engine configuration 3. GKE configuration and management
Ensuring solution and operations reliability	- Monitoring/logging/profiling/alerting solution 1. Cloud Monitoring and Cloud Logging 2. Error reporting and alerting 3. Performance profiling and tracing - Deployment and release management 1. Release management and versioning 2. Deployment strategies and rollback - Evaluating quality control measures - Assisting with support 1. Capacity planning and scaling 2. Incident response and troubleshooting
Designing for security and compliance	- Designing for compliance 1. Regulatory and compliance requirements 2. Audit logging and monitoring 3. Data residency and sovereignty - Designing for security 1. Network security 2. Application security 3. Identity and Access Management (IAM) 4. Data security and encryption
Designing and planning a cloud solution architecture	- Designing network, storage, and compute resources 1. Storage options and data lifecycle management 2. GKE cluster and workload design 3. Network design including load balancing and firewall rules 4. Compute engine selection and configuration - Enabling future cloud technology 1. Designing for scalability and elasticity 2. Implementing future-proof architectures - Designing solution infrastructure that meets business requirements 1. Migration planning 2. Business use cases and product strategy 3. Cost optimization 4. Data and storage architecture 5. Networking and compute resources 6. Integration with existing systems - Creating a migration plan 1. Refactoring and rearchitecting applications 2. Identifying workloads for migration 3. Planning data migration
Managing implementation	- Interacting with Google Cloud programmatically 1. APIs and client libraries 2. Infrastructure as Code (IaC) 3. Cloud SDK and gcloud CLI - Advising development/operation team(s) to ensure successful deployment 1. Deployment strategies 2. Application development best practices 3. Testing and validation
Analyzing and optimizing technical and business processes	- Analyzing and defining business processes 1. Cost management and optimization 2. Stakeholder communication 3. Business KPIs and metrics - Analyzing and defining technical processes 1. Incident management and troubleshooting 2. Software development lifecycle (SDLC) 3. CI/CD pipeline design

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q54-Q59):

NEW QUESTION # 54
For this question, refer to the Dress4Win case study. You are responsible for the security of data stored in Cloud Storage for your company, Dress4Win. You have already created a set of Google Groups and assigned the appropriate users to those groups. You should use Google best practices and implement the simplest design to meet the requirements.
Considering Dress4Win's business and technical requirements, what should you do?

A. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements.
Utilize Google's default encryption at rest when storing files in Cloud Storage.
B. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Enable default storage encryption before storing files in Cloud Storage.
C. Assign custom IAM roles to the Google Groups you created in order to enforce security requirements.
Encrypt data with a customer-supplied encryption key when storing files in Cloud Storage.
D. Assign predefined IAM roles to the Google Groups you created in order to enforce security requirements. Ensure that the default Cloud KMS key is set before storing files in Cloud Storage.

Answer: D

Explanation:
https://cloud.google.com/iam/docs/understanding-service-accounts

NEW QUESTION # 55
Your company is planning to perform a lift and shift migration of their Linux RHEL 6.5+ virtual machines. The virtual machines are running in an on-premises VMware environment. You want to migrate them to Compute Engine following Google-recommended practices. What should you do?

A. 1. Perform an assessment of virtual machines running in the current VMware environment.
2. Install a third-party agent on all selected virtual machines.
3. Migrate all virtual machines into Compute Engine.
B. 1. Perform an assessment of virtual machines running in the current VMware environment.
2. Create images of all disks. Import disks on Compute Engine.
3. Create standard virtual machines where the boot disks are the ones you have imported.
C. 1. Perform an assessment of virtual machines running in the current VMware environment.
2. Define a migration plan, prepare a Migrate for Compute Engine migration RunBook, and execute the migration.
D. 1. Define a migration plan based on the list of the applications and their dependencies.
2. Migrate all virtual machines into Compute Engine individually with Migrate for Compute Engine.

Answer: C

Explanation:
The framework illustrated in the preceding diagram has four phases:
- Assess. In this phase, you assess your source environment, assess the workloads that you want to migrate to Google Cloud, and assess which VMs support each workload.
- Plan. In this phase, you create the basic infrastructure for Migrate for Compute Engine, such as provisioning the resource hierarchy and setting up network access.
- Deploy. In this phase, you migrate the VMs from the source environment to Compute Engine.
- Optimize. In this phase, you begin to take advantage of the cloud technologies and capabilities.
Reference: https://cloud.google.com/architecture/migrating-vms-migrate-for-compute-engine- getting-started

NEW QUESTION # 56
Your company runs a critical, revenue-generating ecommerce application that is served by a regional managed instance group (MIG) behind an external HTTP(S) Load Balancer. The operations team is currently overwhelmed with low-priority notifications and is starting to ignore alerts. Your team's service level objective (SLO) is to maintain 99.9% availability, which is measured by the ratio of successful requests (2xx status codes) to total requests. You want to minimize noise from non-critical events and ensure that the team is only notified of issues that are actionable and threaten the SLO. What should you do?

A. Focus on cause-based alerts, creating alerting policies with thresholds for the Compute Engine instances, including CPU utilization, memory usage, disk I/O, and network traffic.
B. Configure alerts based on predictive metrics. Use the instance count of the MIG as the primary metric to trigger an alert.
C. Create log-based alerts for only the WARN and ERROR log entries generated by the application to ensure that no potential issue is missed.
D. Implement an error budget policy based on the availability of the SLO. Create a "page" alert that triggers only when the rate of burn of the error budget predicts a full exhaustion within the next 24 hours.

Answer: D

Explanation:
An error-budget-based alert tied directly to the availability SLO ensures the team is notified only when user-visible reliability is at risk. Alerting on error budget burn rate focuses on actionable incidents that threaten the 99.9% availability target, dramatically reducing alert noise compared to infrastructure or log-based signals that may not impact the SLO.

NEW QUESTION # 57
Case Study: 4 - Dress4Win case study
Company Overview
Dress4win is a web-based company that helps their users organize and manage their personal wardrobe using a website and mobile application. The company also cultivates an active social network that connects their users with designers and retailers. They monetize their services through advertising, e-commerce, referrals, and a freemium app model.
Company Background
Dress4win's application has grown from a few servers in the founder's garage to several hundred servers and appliances in a colocated data center. However, the capacity of their infrastructure is now insufficient for the application's rapid growth. Because of this growth and the company's desire to innovate faster, Dress4win is committing to a full migration to a public cloud.
Solution Concept
For the first phase of their migration to the cloud, Dress4win is considering moving their development and test environments. They are also considering building a disaster recovery site, because their current infrastructure is at a single location. They are not sure which components of their architecture they can migrate as is and which components they need to change before migrating them.
Existing Technical Environment
The Dress4win application is served out of a single data center location.
Databases:
MySQL - user data, inventory, static data
* Redis - metadata, social graph, caching
* Application servers:
Tomcat - Java micro-services
* Nginx - static content
* Apache Beam - Batch processing
* Storage appliances:
iSCSI for VM hosts
* Fiber channel SAN - MySQL databases
* NAS - image storage, logs, backups
* Apache Hadoop/Spark servers:
Data analysis
* Real-time trending calculations
* MQ servers:
Messaging
* Social notifications
* Events
* Miscellaneous servers:
Jenkins, monitoring, bastion hosts, security scanners
* Business Requirements
* Build a reliable and reproducible environment with scaled parity of production. Improve security by defining and adhering to a set of security and Identity and Access Management (IAM) best practices for cloud.
Improve business agility and speed of innovation through rapid provisioning of new resources.
Analyze and optimize architecture for performance in the cloud. Migrate fully to the cloud if all other requirements are met.
Technical Requirements
Evaluate and choose an automation framework for provisioning resources in cloud. Support failover of the production environment to cloud during an emergency. Identify production services that can migrate to cloud to save capacity.
Use managed services whenever possible.
Encrypt data on the wire and at rest.
Support multiple VPN connections between the production data center and cloud environment.
CEO Statement
Our investors are concerned about our ability to scale and contain costs with our current infrastructure. They are also concerned that a new competitor could use a public cloud platform to offset their up-front investment and freeing them to focus on developing better features.
CTO Statement
We have invested heavily in the current infrastructure, but much of the equipment is approaching the end of its useful life. We are consistently waiting weeks for new gear to be racked before we can start new projects. Our traffic patterns are highest in the mornings and weekend evenings; during other times, 80% of our capacity is sitting idle.
CFO Statement
Our capital expenditure is now exceeding our quarterly projections. Migrating to the cloud will likely cause an initial increase in spending, but we expect to fully transition before our next hardware refresh cycle. Our total cost of ownership (TCO) analysis over the next 5 years puts a cloud strategy between 30 to 50% lower than our current model.
For this question, refer to the Dress4Win case study.
Dress4Win has configured a new uptime check with Google Stackdriver for several of their legacy services. The Stackdriver dashboard is not reporting the services as healthy. What should they do?

A. Configure their legacy web servers to allow requests that contain user-Agent HTTP header when the value matches GoogleStackdriverMonitoring-- UptimeChecks (https://cloud.google.com/monitoring)
B. Install the Stackdriver agent on all of the legacy web servers.
C. Configure their load balancer to pass through the User-Agent HTTP header when the value matches GoogleStackdriverMonitoring-UptimeChecks (https://cloud.google.com/monitoring)
D. In the Cloud Platform Console download the list of the uptime servers' IP addresses and create an inbound firewall rule

Answer: A

NEW QUESTION # 58
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. Use a slimmed-down base image like Alpine linux.
C. Remove dependencies from requirements.txt.
D. Use larger machine types for your Google Container Engine node pools.
E. Remove Python after running pip.

Answer: A,B

Explanation:
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 # 59
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