Professional Cloud Architect · Free Practice Question Hard
Question 41
A large healthcare organization is looking to build a secure and scalable platform for storing and analyzing medical records. The platform must meet the following requirements:
support high volumes of medical records with low latency
ensure secure storage and processing of sensitive medical information
enable real-time data analysis and reporting on patient health and treatment outcomes
minimize downtime during maintenance and upgrades
minimize costs while still providing high performance
Which solution would you recommend to meet these requirements?
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A
Implementing a serverless solution using Cloud Functions for data processing, Cloud Firestore for data storage, and Cloud Pub/Sub for real-time data processing.
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B
Implementing a custom-built solution using Cloud Pub/Sub for real-time data processing, Bigtable for data storage, and Google Kubernetes Engine (GKE) for deployment and scaling.
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C
Implementing a hybrid solution using Compute Engine for data processing, Cloud SQL for data storage, and BigQuery for real-time analytics.
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D
Implementing a managed solution using Cloud Healthcare API for data analysis, Cloud Storage for data storage, and Cloud Load Balancing for high-availability data access.
Reveal correct answer
Correct answer: D
A.
This option offers simplicity and scalability through serverless components. However, Cloud Firestore may not be the most suitable data storage solution for high volumes of medical records. It may not provide the low latency and performance required for real-time data analysis and reporting.
B.
While this option provides flexibility and control over the solution components, it also requires significant development and maintenance effort. It may not be the most cost-effective and scalable option for meeting the specified requirements.
C.
While this option combines different services for specific purposes, it introduces additional complexity and maintenance overhead. Compute Engine and Cloud SQL require managing virtual machines and databases, which may not be the most scalable and cost-effective approach.
D.
This solution meets the requirements by using Cloud Healthcare API, which is specifically designed for healthcare organizations to store, process, and analyze sensitive medical information securely and efficiently. Cloud Storage provides secure and scalable storage for the medical records. And, Cloud Load Balancing ensures high-availability of the data access, minimizing downtime during maintenance and upgrades.
Discussion
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