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Welcome to the Service Quality Metrics and SLAs MCQs Page

Dive deep into the fascinating world of Service Quality Metrics and SLAs with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Service Quality Metrics and SLAs, a crucial aspect of Cloud Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Service Quality Metrics and SLAs, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Cloud Computing.

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Check out the MCQs below to embark on an enriching journey through Service Quality Metrics and SLAs. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Cloud Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Service Quality Metrics and SLAs. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Service Quality Metrics and SLAs MCQs | Page 4 of 5

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Discuss
Answer: (d).To align SLA guarantees with the cloud consumer's specific requirements. Explanation:Documenting guarantees at an appropriate granularity in SLAs is important to align SLA guarantees with the cloud consumer's specific requirements.
Q32.
What phase do resiliency metrics apply to address the challenges and events that can threaten the regular level of a service?
Discuss
Answer: (a).Design Phase Explanation:Resiliency metrics can be applied in the Design Phase to address the challenges and events that can threaten the regular level of a service.
Discuss
Answer: (c).It measures the time expected to complete a switchover from a severe failure to a replicated instance in a different geographical area. Explanation:The Mean-Time to Switchover (MTSO) metric measures the time expected to complete a switchover from a severe failure to a replicated instance in a different geographical area.
Discuss
Answer: (c).The ability of an IT resource to perform its intended function under pre-defined conditions without experiencing failure. Explanation:Service performance metrics focus on the ability of an IT resource to perform its intended function under pre-defined conditions without experiencing failure.
Discuss
Answer: (d).To clarify how SLA metrics are measured and calculated. Explanation:Including specific metric formulas in SLAs is important to clarify how SLA metrics are measured and calculated.
Discuss
Answer: (d).It allows cloud consumers to verify SLA compliance independently. Explanation:Considering independent SLA monitoring allows cloud consumers to verify SLA compliance independently, especially if there are suspicions that SLA guarantees are not always being met by the cloud provider.
Q37.
Why might cloud consumers want to keep a copy of historical SLA-related data even after ending their business relationship with a cloud provider?
Discuss
Answer: (d).To meet data privacy requirements or for future comparisons. Explanation:Cloud consumers might want to keep a copy of historical SLA-related data even after ending their business relationship with a cloud provider for reasons such as meeting data privacy requirements or for future comparisons.
Discuss
Answer: (c).The fact that the IT resources may have dependencies beyond their control. Explanation:Cloud providers should disclose the fact that the IT resources they are leasing may have dependencies beyond their control if they are leasing IT resources from other cloud providers.
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Answer: (d).To inform cloud consumers about potential external dependencies. Explanation:The purpose of disclosing cross-cloud dependencies in SLAs is to inform cloud consumers about potential external dependencies that may affect the services provided by the cloud provider.
Discuss
Answer: (c).Service resiliency is often a guarantee specified in SLAs. Explanation:Service resiliency is often a guarantee specified in SLAs, indicating the ability of an IT resource to recover from operational disturbances.
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