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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. Cloud Pub/Sub is used for ingesting real-time data from various global sources. Cloud Dataflow can handle both streaming and batch data, making it suitable for real-time processing. Cloud Storage provides reliable storage for the data, offering scalable and durable storage solutions. Options B and C are not ideal because Local SSDs are not suitable for persisting data, and Cloud SQL is not typically used for ingesting and processing real-time data. Option D is not relevant as Cloud Load Balancing is used for distributing traffic across instances, not for data ingestion and processing.
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Flowlogistic's management has identified a limitation in their current Apache Kafka servers, which are unable to manage the data volume required for their real-time inventory tracking system. As part of an upgrade, you need to design a new system using Google Cloud Platform (GCP) that will support the proprietary tracking software. The new system must be capable of ingesting data from diverse global sources, processing and querying the data in real time, and ensuring reliable data storage. Which combination of GCP products should you select?
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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