Question 1

Your organization operates in multiple regions worldwide, including the EU and the US. As part of your FinOps responsibilities, you need to ensure that cloud resource management complies with GDPR (General Data Protection Regulation) and CCPA (California Consumer Privacy Act). You are also responsible for optimizing costs across these regions. Which of the following actions should you take to maintain compliance and cost-efficiency? (Choose two)

Options :

A : Allow each regional team to choose its storage solution based on local preferences to meet compliance and cost requirements effectively.

B : Use a unified, centralized data storage solution across all regions to reduce storage and operational costs.

C : Implement region-specific storage configurations to store data in locations that comply with regional data residency laws.

D : Automate deletion and anonymization of personally identifiable information (PII) across all storage, including cloud backups, to avoid legal breaches and reduce storage costs.

Answer: C,D

Question 2

In a cloud environment, which practices will most effectively automate workload management while minimizing both operational costs and resource waste?

(Select two correct answers)

Options :

A : Using spot instances exclusively for all production workloads to maximize cost savings

B : Implementing a standard instance size for all workloads to maintain consistency across the environment

C : Employing autoscaling in combination with predictive algorithms to anticipate peak demand periods

D : Decreasing the frequency of performance monitoring to reduce operational overhead

E : Leveraging serverless computing where appropriate to manage unpredictable or spiky workloads

Answer: C,E

Question 3

An organization notices recurring spending anomalies in their cloud environment and wants to establish a robust process for detecting and addressing these unexpected cost variations. Which two approaches would best support continuous improvement in anomaly detection and response?

Options :

A : Reviewing and adjusting anomaly detection parameters monthly to adapt to changing usage patterns and reduce false positives.

B : Escalating all detected anomalies to the highest management level to ensure immediate resolution.

C : Using a standard deviation-based threshold across all services, regardless of each service’s variability.

D : Implementing machine learning models that learn from historical data to improve the precision of anomaly detection over time.

Answer: A,D

Question 4

Your team is tasked with running a large-scale data processing workload on a cloud platform, and you’ve decided to use spot instances to save costs. However, spot instances can be interrupted by the cloud provider if capacity is needed for other users. To manage this risk while minimizing costs, which strategy would be most effective?

Options :

A : Use spot instances exclusively, relying on the cloud provider’s notification system to restart tasks when interruptions occur.

B : Increase the maximum price for spot instances to match the on-demand rate, ensuring that instances remain active without interruptions.

C : Implement a checkpointing mechanism within the application to periodically save progress, allowing tasks to resume from the last checkpoint in case of interruption.

D : Select only the most stable availability zone to deploy the workload, assuming that interruptions will be less frequent.

Answer: C

Question 5

A global enterprise observes that their cloud usage costs are high due to inefficient resource utilization across multiple teams. The FinOps team is tasked with implementing strategies to improve efficiency by identifying underutilized resources and optimizing them without disrupting critical workflows.Which TWO actions would most effectively improve resource utilization while minimizing operational impact?

Options :

A : Rightsizing instances based on historical usage data

B : Setting up automated policies to terminate idle instances after a predefined period

C : Replacing underutilized instances with on-demand instances for increased flexibility

D : Consolidating workloads onto fewer, larger instances to minimize resource fragmentation

Answer: A,B