Question 1

A Business Unit Lead asks a FinOps Analyst to project their team’s cloud expenses for the next quarter using FOCUS-aligned data. Which approach best utilizes the FOCUS data model to support this forecasting scenario?

Options :

A : Apply estimated cloud growth rates provided by vendors to monthly invoices

B : Average compute utilization metrics from monitoring tools and apply to future budget

C : Use historical cost data from the lineItem/unblendedCost field, grouped by billingPeriod/startDate

D : Estimate based on employee headcount and service-level agreements

Answer: C

Question 2

During ingestion of multi-cloud billing data into a FOCUS-compatible system, a FinOps Analyst notices inconsistent labeling conventions for cost categories such as “Compute” vs “VMs.” What is the most aligned action with FOCUS normalization principles?

Options :

A : Accept provider-specific labels to retain original context.

B : Merge all categories into a generic “Cloud Resource” bucket.

C : Remove category labels entirely to avoid confusion.

D : Normalize inconsistent labels to a standard taxonomy defined by FOCUS.

Answer: D

Question 3

After analyzing a normalized FOCUS dataset, an analyst notices that a product team consistently has higher storage costs per GiB-hour than other teams. All teams use the same cloud provider and similar storage classes. What is the most data-driven next step to validate the cause?

Options :

A : Recommend the product team move to a cheaper provider without further analysis

B : Assume the team has inefficient storage practices and escalate to finance leadership

C : Compare only total monthly storage costs across teams to simplify the insight

D : Review resource-level metadata for differences in data access patterns or retention policies

Answer: D

Question 4

A company is using multiple cloud providers and wants to allocate costs to product teams across clouds. However, one provider does not consistently apply the projectId or tagging standards used by the others. What strategy should the FinOps team adopt to achieve consistent cross-cloud cost allocation?

Options :

A : Manually assign project ownership to untagged records during monthly reporting.

B : Apply a flat percentage distribution of untagged costs across all product teams.

C : Enrich the untagged data by mapping resourceId to existing organizational metadata and populating the labels field.

D : Exclude the untagged data from the allocation process to maintain accuracy.

Answer: C

Question 5

During a monthly FinOps review, the team notices sudden spikes in compute costs. Upon investigation, they find malformed usage entries in the dataset. Which of the following best aligns with FOCUS data quality assurance practices to proactively prevent such issues?

Options :

A : Wait for the cloud provider to fix the data before continuing analysis

B : Suppress anomalous values from reporting dashboards

C : Implement schema validation rules during data ingestion

D : Configure dashboards to ignore sudden cost changes under 10%

Answer: C

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