Professional Cloud Architect · Free Practice Question Medium
Question 30
A financial analytics company has deployed its analytics platform on Google Cloud. The platform processes large volumes of financial data and provides real-time analytics to clients. The company is focused on optimizing its cloud spend while ensuring that its platform remains performant and reliable.
The business requirements are:
Cost Management: Reduce cloud spend while maintaining service reliability.
Data Processing: Handle large-scale data processing tasks efficiently.
Storage Costs: Optimize storage costs for both hot and cold data.
Data Analytics: Provide real-time data analytics with minimal latency.
Which strategies should the company implement to achieve its cost management goals? (Select three)
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A
Use BigQuery with a flat-rate pricing model for predictable costs.
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B
Store all financial data in Google Cloud Storage 'Standard' class to ensure quick access.
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C
Store cold data in Archive Storage to minimize storage costs.
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D
Implement a multi-cloud strategy to take advantage of price competition between providers.
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E
Leverage Google Cloud's Committed Use Contracts to reduce the cost of reserved resources.
Reveal correct answers
Correct answers: A, C, E
A.
The flat-rate pricing model for BigQuery provides predictable costs for data processing, which is beneficial for a company that requires consistent and budgeted spending. This model allows the company to control costs while still leveraging the power of BigQuery for large-scale data processing.
B.
While 'Standard' storage offers quick access, it is more expensive compared to other storage classes like 'Nearline' or 'Coldline,' which are more suitable for data that is not frequently accessed. Storing all data in the 'Standard' class can lead to unnecessary costs, especially if the data access patterns do not justify this class.
C.
Archive Storage is the most cost-effective storage class for data that is rarely accessed. By moving cold data to Archive Storage, the company can significantly reduce storage costs while still retaining the data for long-term needs. This strategy is directly aligned with the goal of optimizing storage costs.
D.
A multi-cloud strategy can introduce complexity and potential costs due to data transfer charges, management overhead, and integration challenges. While price competition might seem appealing, the added complexity often negates the potential cost benefits, making it less optimal for cost management.
E.
Committed Use Contracts offer significant discounts on Google Cloud resources in exchange for committing to use a certain amount of resources over a specified period. This approach is ideal for a company with predictable workloads, enabling substantial cost savings on compute resources while maintaining performance.
Discussion
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