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Answer: Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage
The correct answer is A: Cloud Pub/Sub, Cloud Dataflow, and Cloud Storage. This combination fulfills all the requirements for ingesting data from various global sources (Cloud Pub/Sub), processing and querying data in real-time (Cloud Dataflow), and storing the data reliably (Cloud Storage). Cloud Pub/Sub can handle high-throughput ingestion from multiple sources, Cloud Dataflow provides real-time processing and the ability to write transformations, and Cloud Storage offers reliable storage for large volumes of data.
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Flowlogistic's management has assessed that their current Apache Kafka servers are inadequate for handling the data volume required by their real-time inventory tracking system. Your task is to design a new system using Google Cloud Platform (GCP) that will integrate with their proprietary tracking software. This new system must be capable of ingesting data from multiple global sources, performing real-time processing and querying, and storing the data in a reliable manner. Which combination of GCP products would be most suitable for this requirement?
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
E
Cloud Dataflow, Cloud SQL, and Cloud Storage