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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q73-Q78):

NEW QUESTION # 73
Your company wants to try out the cloud with low risk. They want to archive approximately 100 TB of their log data to the cloud and test the analytics features available to them there, while also retaining that data as a long- term disaster recovery backup.
Which two steps should you take? Choose 2 answers.

Answer: C,D

Explanation:
Explanation/Reference:


NEW QUESTION # 74
You are deploying an application on App Engine that needs to integrate with an on-premises database. For security purposes, your on-premises database must not be accessible through the public Internet. What should you do?

Answer: A

Explanation:
When to choose the flexible environment" "Accesses the resources or services of your Google Cloud project that reside in the Compute Engine network."
https://cloud.google.com/appengine/docs/the-appengine-environments


NEW QUESTION # 75
Your company wants to track whether someone is present in a meeting room reserved for a scheduled meeting. There are 1000 meeting rooms across 5 offices on 3 continents. Each room is equipped with a motion sensor that reports its status every second. You want to support the data upload and collection needs of this sensor network. The receiving infrastructure needs to account for the possibility that the devices may have inconsistent connectivity. Which solution should you design?

Answer: B

Explanation:
A is not correct because having a persistent connection does not handle the case where the device is disconnected.
B is not correct because Cloud SQL is a relational database and not the best fit for sensor data.
Additionally, the frequency of the writes has the potential to exceed the supported number of concurrent connections.
C is correct because Cloud Pub/Sub can handle the frequency of this data, and consumers of the data can pull from the shared topic for further processing.
D is not correct because having a persistent connection does not handle the case where the device is disconnected.
https://cloud.google.com/sql/
https://cloud.google.com/pubsub/


NEW QUESTION # 76
For this question, refer to the TerramEarth case study. You are asked to design a new architecture for the ingestion of the data of the 200,000 vehicles that are connected to a cellular network. You want to follow Google-recommended practices.
Considering the technical requirements, which components should you use for the ingestion of the data?

Answer: D

Explanation:
https://cloud.google.com/solutions/iot-overview
https://cloud.google.com/iot/quotas


NEW QUESTION # 77
For this question refer to the TerramEarth case study
Operational parameters such as oil pressure are adjustable on each of TerramEarth's vehicles to increase their efficiency, depending on their environmental conditions. Your primary goal is to increase the operating efficiency of all 20 million cellular and unconnected vehicles in the field How can you accomplish this goal?

Answer: A

Explanation:
Topic 2, 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
24 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 # 78
......

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