1. Scenario Overview

TerramEarth is a global manufacturer of heavy machinery for mining and agricultural industries. They aim to improve fleet management and equipment maintenance by migrating to Google Cloud. Their requirements include real-time telemetry processing, predictive analytics, and high availability to support global operations.

Link: TerramEarth Case Study

2. Summary of Core Solutions

3. Question Breakdown by Subject

A. Real-Time Telemetry Ingestion

• Likely Exam Question: “Which GCP services should TerramEarth use to ingest and process real-time equipment telemetry data?”
• Answer: Pub/Sub and Dataflow
• Why: Pub/Sub handles reliable ingestion of telemetry events, while Dataflow processes and transforms the data for downstream use in real time.

B. Predictive Maintenance

• Likely Exam Question: “How can TerramEarth predict when machinery will require maintenance?”
• Answer: BigQuery and BigQuery ML
• Why: BigQuery stores historical and real-time data, while BigQuery ML trains and runs predictive maintenance models directly on the data.

C. High Availability for APIs

• Likely Exam Question: “What GCP service ensures global availability of TerramEarth’s APIs for fleet management?”
• Answer: Global HTTP(S) Load Balancer
• Why: It distributes traffic globally, ensuring low latency and high availability for APIs.

D. Scalable Processing of Batch Data

• Likely Exam Question: “Which services can process large-scale historical telemetry data for analysis?”
• Answer: Dataflow and Cloud Storage
• Why: Cloud Storage stores batch data, and Dataflow processes it efficiently for analysis.

E. User Analytics and Reporting

• Likely Exam Question: “Which GCP services provide actionable insights and reporting for TerramEarth’s operations?”
• Answer: BigQuery and Looker
• Why: BigQuery performs data analysis at scale, and Looker provides user-friendly dashboards and reports.

F. Security

• Likely Exam Question: “How can TerramEarth secure sensitive telemetry data and APIs?”
• Answer:
  • IAM: Manages access control.
  • Cloud Armor: Protects APIs against DDoS attacks.
  • Security Command Center (SCC): Identifies vulnerabilities and ensures compliance.

G. Cost Optimization

• Likely Exam Question: “How can TerramEarth optimize costs while scaling resources?”
• Answer:
  • Active Assist: Recommends cost-saving measures.
  • Autoscaler: Adjusts resources dynamically based on demand.