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Google Professional-Cloud-Architect Exam Syllabus Topics:

SectionObjectives
Topic 1: Managing and provisioning a solution infrastructure- Configuring network topologies
  • 1. Private access and VPN configuration
  • 2. Hybrid and multi-cloud connectivity
  • 3. VPC design and peering
- Configuring compute systems
  • 1. Compute Engine configuration
  • 2. Cloud Run and Cloud Functions
  • 3. GKE configuration and management
- Configuring individual storage systems
  • 1. Datastore and Bigtable
  • 2. Cloud Storage configuration
  • 3. Cloud SQL and Spanner
Topic 2: 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. Data security and encryption
  • 3. Identity and Access Management (IAM)
  • 4. Application security
Topic 3: 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. Application development best practices
  • 2. Deployment strategies
  • 3. Testing and validation
Topic 4: Analyzing and optimizing technical and business processes- Analyzing and defining technical processes
  • 1. Incident management and troubleshooting
  • 2. CI/CD pipeline design
  • 3. Software development lifecycle (SDLC)
- Analyzing and defining business processes
  • 1. Cost management and optimization
  • 2. Business KPIs and metrics
  • 3. Stakeholder communication
Topic 5: Ensuring solution and operations reliability- Deployment and release management
  • 1. Release management and versioning
  • 2. Deployment strategies and rollback
- Evaluating quality control measures
- Monitoring/logging/profiling/alerting solution
  • 1. Error reporting and alerting
  • 2. Cloud Monitoring and Cloud Logging
  • 3. Performance profiling and tracing
- Assisting with support
  • 1. Incident response and troubleshooting
  • 2. Capacity planning and scaling
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 network, storage, and compute resources
  • 1. Storage options and data lifecycle management
  • 2. GKE cluster and workload design
  • 3. Compute engine selection and configuration
  • 4. Network design including load balancing and firewall rules
- Designing solution infrastructure that meets business requirements
  • 1. Business use cases and product strategy
  • 2. Integration with existing systems
  • 3. Cost optimization
  • 4. Migration planning
  • 5. Networking and compute resources
  • 6. Data and storage architecture
- Creating a migration plan
  • 1. Planning data migration
  • 2. Refactoring and rearchitecting applications
  • 3. Identifying workloads for migration

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Google Certified Professional - Cloud Architect (GCP) Sample Questions (Q65-Q70):

NEW QUESTION # 65
For this question, refer to the Dress4Win case study.
The Dress4Win security team has disabled external SSH access into production virtual machines (VMs) on Google Cloud Platform (GCP). The operations team needs to remotely manage the VMs, build and push Docker containers, and manage Google Cloud Storage objects. What can they do?

Answer: C


NEW QUESTION # 66
Your company has a Google Cloud project that uses BigOuery for data warehousing. The VPN tunnel between the on-premises environment and Google Cloud is configured with Cloud VPN.
Your security team wants to avoid data exfiltration by malicious insiders, compromised code, and accidental oversharing. What should you do?

Answer: B

Explanation:
VPC Service Controls help to establish security perimeters around Google Cloud services like BigQuery to prevent data exfiltration. They enforce restrictions on what resources can be accessed and from where.
Private Google Access allows on-premises hosts to access Google APIs and services securely over a VPN or Interconnect, without traversing the public internet.


NEW QUESTION # 67
For this question, refer to the Dress4Win case study. Dress4Win is expected to grow to 10 times its size in 1 year with a corresponding growth in data and traffic that mirrors the existing patterns of usage. The CIO has set the target of migrating production infrastructure to the cloud within the next 6 months. How will you configure the solution to scale for this growth without making major application changes and still maximize the ROI?

Answer: C

Explanation:
Topic 5, TerramEarth Case 2
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.


NEW QUESTION # 68
Your organization has a 3-tier web application deployed in the same network on Google Cloud Platform. Each tier (web, API, and database) scales independently of the others Network traffic should flow through the web to the API tier and then on to the database tier. Traffic should not flow between the web and the database tier. How should you configure the network?

Answer: A

Explanation:
https://aws.amazon.com/blogs/aws/building-three-tier-architectures-with-security-groups/ Google Cloud Platform(GCP) enforces firewall rules through rules and tags. GCP rules and tags can be defined once and used across all regions.
References:
https://cloud.google.com/docs/compare/openstack/
https://aws.amazon.com/it/blogs/aws/building-three-tier-architectures-with-security-groups/


NEW QUESTION # 69
You are implementing the infrastructure for a web service on Google Cloud. The web service needs to receive and store the data from 500,000 requests per second. The data will be queried later in real time, based on exact matches of a known set of attributes. There will be periods where the web service will not receive any requests. The business wants to keep costs low. Which web service platform and database should you use for the application?

Answer: D


NEW QUESTION # 70
......

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