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Welcome to the Cloud Infrastructure Mechanisms MCQs Page

Dive deep into the fascinating world of Cloud Infrastructure Mechanisms with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Cloud Infrastructure Mechanisms, a crucial aspect of Cloud Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Cloud Infrastructure Mechanisms, 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 Cloud Infrastructure Mechanisms. 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 Cloud Infrastructure Mechanisms. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Cloud Infrastructure Mechanisms MCQs | Page 3 of 5

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Q21.
What is the primary protocol used to access cloud storage devices that implement object storage interfaces?
Discuss
Answer: (c).HTTP Explanation:The primary protocol used to access cloud storage devices that implement object storage interfaces is HTTP (Hypertext Transfer Protocol).
Q22.
Which industry organization supports the use of object storage interfaces through its Cloud Data Management Interface (CDMI)?
Discuss
Answer: (c).SNIA Explanation:The Storage Networking Industry Association (SNIA) supports the use of object storage interfaces through its Cloud Data Management Interface (CDMI).
Discuss
Answer: (b).It relies on tables to organize similar data into rows and columns. Explanation:Relational data storage in cloud environments relies on tables to organize similar data into rows and columns. It involves the use of industry standard SQL (Structured Query Language).
Q24.
Which query language is commonly used with relational storage mechanisms in cloud environments?
Discuss
Answer: (d).SQL Explanation:The query language commonly used with relational storage mechanisms in cloud environments is SQL (Structured Query Language).
Discuss
Answer: (c).To achieve better performance and scalability Explanation:One of the primary motivations for using non-relational (NoSQL) storage in cloud environments is to achieve better performance and scalability, especially for horizontally scalable storage.
Discuss
Answer: (c).Limited or primitive schemas for stored data Explanation:The trade-off associated with using non-relational (NoSQL) storage in cloud environments is that it involves limited or primitive schemas for stored data, resulting in a "looser" structure and less support for complex relational database functions.
Q27.
What is the main challenge associated with scaling vertically in cloud-based relational databases?
Discuss
Answer: (b).Complexity and cost-ineffectiveness Explanation:The main challenge associated with scaling vertically in cloud-based relational databases is the complexity and cost-ineffectiveness of the process. Horizontal scaling is often preferred for better scalability and performance.
Discuss
Answer: (c).Collecting and processing IT resource usage data Explanation:The primary responsibility of the cloud usage monitor mechanism in a cloud environment is to collect and process IT resource usage data.
Q29.
Which of the following is NOT a common implementation format for a cloud usage monitor?
Discuss
Answer: (b).Security Agent Explanation:While monitoring agents, resource agents, and audit agents are common implementation formats for cloud usage monitors, "Security Agent" is not typically classified as a format for a cloud usage monitor.
Q30.
Which type of cloud usage monitor is commonly used to measure network traffic and message metrics?
Discuss
Answer: (b).Monitoring Agent Explanation:A monitoring agent is commonly used to measure network traffic and message metrics by residing along existing communication paths to monitor and analyze dataflows.
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