Question 1

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 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

A financial analyst is tasked with comparing team-level cloud spend across AWS, Azure, and Google Cloud using the FOCUS data model. Each provider has different usage types, pricing models, and tagging conventions. What is the most effective first step to address these multi-cloud allocation challenges using FOCUS-aligned practices?

Options :

A : Apply the cost allocation strategy used for the largest cloud provider to all others

B : Normalize metadata (e.g., labels and tags) across providers before applying allocation rules

C : Consolidate all data sources into a single spreadsheet and manually group costs

D : Convert all costs to a single currency and aggregate by service name

Answer: B

Question 4

During a monthly review, a stakeholder questions the accuracy of a sudden spike in cloud compute costs for a specific business unit. The FinOps team relies on the FOCUS data model to investigate. Which of the following best supports data auditability in this situation?

Options :

A : Replacing the anomalous data with a manually adjusted figure to preserve reporting continuity

B : Tracing the cost anomaly to the original source records and confirming transformation steps

C : Re-running the entire dataset from scratch using new ingestion parameters

D : Generating a forecast report using historical usage trends for comparison

Answer: B

Question 5

Using FOCUS-normalized data, an analyst identifies that a team's object storage costs are increasing despite no significant growth in overall storage usage. Further investigation shows that most charges come from frequent access to archived data. What is the most appropriate optimization recommendation?

Options :

A : Limit user access to archived data by implementing strict IAM policies

B : Recommend deleting archived data older than one month to save costs

C : Move all data to cold storage tiers to reduce costs

D : Review data access patterns and consider transitioning frequently accessed objects to a more appropriate storage class

Answer: D

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