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Google Professional-Cloud-Architect Exam Syllabus Topics:

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

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q85-Q90):

NEW QUESTION # 85
You are working in a highly secured environment where public Internet access from the Compute Engine VMs is not allowed. You do not yet have a VPN connection to access an on-premises file server. You need to install specific software on a Compute Engine instance. How should you install the software?

Answer: A

Explanation:
Reference:
https://cloud.google.com/vpc/docs/private-access-options#pga-supported


NEW QUESTION # 86
For this question, refer to the JencoMart case study.
JencoMart wants to move their User Profiles database to Google Cloud Platform. Which Google Database should they use?

Answer: A

Explanation:
https://cloud.google.com/datastore/docs/concepts/overview
Common workloads for Google Cloud Datastore:
User profiles
Product catalogs
Game state
References: https://cloud.google.com/storage-options/
https://cloud.google.com/datastore/docs/concepts/overview


NEW QUESTION # 87
A recent audit revealed that a new network was created in your GCP project. In this network, a GCE instance has an SSH port open to the world. You want to discover this network's origin.
What should you do?

Answer: C

Explanation:
Explanation/Reference:
Explanation:
Incorrect Answers:
A: To use the Stackdriver alerting console we must first set up alerting policies.
B: Data access logs only contain read-only operations.
Audit logs help you determine who did what, where, and when.
Cloud Audit Logging returns two types of logs:
Admin activity logs

Data access logs: Contains log entries for operations that perform read-only operations do not modify

any data, such as get, list, and aggregated list methods.


NEW QUESTION # 88
For this question, refer to the TerramEarth case study.
TerramEarth's CTO wants to use the raw data from connected vehicles to help identify approximately when a vehicle in the development team to focus their failure. You want to allow analysts to centrally query the vehicle data. Which architecture should you recommend?

Answer: D

Explanation:
https://cloud.google.com/solutions/iot/
https://cloud.google.com/solutions/designing-connected-vehicle-platform
https://cloud.google.com/solutions/designing-connected-vehicle-platform#data_ingestion
http://www.eweek.com/big-data-and-analytics/google-touts-value-of-cloud-iot-core-for-analyzing- connected-car-data
https://cloud.google.com/solutions/iot/


NEW QUESTION # 89
Case Study: 6 - TerramEarth
Company Overview
TerramEarth manufactures heavy equipment for the mining and agricultural industries. About
80% of their business is from mining and 20% from agriculture. They currently have over 500 dealers and service centers in 100 countries. Their mission is to build products that make their customers more productive.
Solution Concept
There are 20 million TerramEarth vehicles in operation that collect 120 fields of data per second.
Data is stored locally on the vehicle and can be accessed for analysis when a vehicle is serviced.
The data is downloaded via a maintenance port. This same port can be used to adjust operational parameters, allowing the vehicles to be upgraded in the field with new computing modules.
Approximately 200,000 vehicles are connected to a cellular network, allowing TerramEarth to collect data directly. At a rate of 120 fields of data per second with 22 hours of operation per day, TerramEarth collects a total of about 9 TB/day from these connected vehicles.
Existing Technical Environment
TerramEarth's existing architecture is composed of Linux and Windows-based systems that reside in a single U.S. west coast based data center. These systems gzip CSV files from the field and upload via FTP, and place the data in their data warehouse. Because this process takes time, aggregated reports are based on data that is 3 weeks old.
With this data, TerramEarth has been able to preemptively stock replacement parts and reduce unplanned downtime of their vehicles by 60%. However, because the data is stale, some customers are without their vehicles for up to 4 weeks while they wait for replacement parts.
Business Requirements
Decrease unplanned vehicle downtime to less than 1 week.
* Support the dealer network with more data on how their customers use their equipment to better
* position new products and services
Have the ability to partner with different companies - especially with seed and fertilizer suppliers
* in the fast-growing agricultural business - to create compelling joint offerings for their customers.
Technical Requirements
Expand beyond a single datacenter to decrease latency to the American Midwest and east
* coast.
Create a backup strategy.
* Increase security of data transfer from equipment to the datacenter.
* Improve data in the data warehouse.
* Use customer and equipment data to anticipate customer needs.
* Application 1: Data ingest
A custom Python application reads uploaded datafiles from a single server, writes to the data warehouse.
Compute:
Windows Server 2008 R2
* - 16 CPUs
- 128 GB of RAM
- 10 TB local HDD storage
Application 2: Reporting
An off the shelf application that business analysts use to run a daily report to see what equipment needs repair. Only 2 analysts of a team of 10 (5 west coast, 5 east coast) can connect to the reporting application at a time.
Compute:
Off the shelf application. License tied to number of physical CPUs
* - Windows Server 2008 R2
- 16 CPUs
- 32 GB of RAM
- 500 GB HDD
Data warehouse:
A single PostgreSQL server
* - RedHat Linux
- 64 CPUs
- 128 GB of RAM
- 4x 6TB HDD in RAID 0
Executive Statement
Our competitive advantage has always been in the manufacturing process, with our ability to build better vehicles for lower cost than our competitors. However, new products with different approaches are constantly being developed, and I'm concerned that we lack the skills to undergo the next wave of transformations in our industry. My goals are to build our skills while addressing immediate market needs through incremental innovations.
For this question, refer to the TerramEarth case study. To be compliant with European GDPR regulation, TerramEarth is required to delete data generated from its European customers after a period of 36 months when it contains personal data. In the new architecture, this data will be stored in both Cloud Storage and BigQuery. What should you do?

Answer: D


NEW QUESTION # 90
......

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