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Answer: Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
The correct combination for Flowlogistic's needs is Cloud Pub/Sub for real-time messaging, Cloud Dataflow for data processing, and Cloud Storage for reliable data storage. This setup supports both streaming and batch data, aligns with their requirement to use managed services, and ensures scalability. Note: The Flowlogistic Case Study has been removed from the Professional Data Engineer exam syllabus.
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Flowlogistic, a leading logistics and supply chain provider, is facing challenges with their current infrastructure's inability to support their proprietary real-time inventory-tracking system due to the limitations of their Apache Kafka-based technology stack. They aim to migrate to Google Cloud Platform (GCP) to leverage cloud capabilities for real-time data ingestion, processing, and storage. Which combination of GCP products would best support their needs?
A
Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
B
Cloud Pub/Sub, Cloud Dataflow, and Local SSD
C
Cloud Pub/Sub, Cloud SQL, and Cloud Storage
D
Cloud Load Balancing, Cloud Dataflow, and Cloud Storage
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