Cloud Computing MCQ Questions & Answers | Computer Science

Option A: Polling refers to a mechanism where a central node periodically checks other nodes to see if they are functioning properly. While this can detect failure, it is not the most efficient or commonly used method in distributed systems for detecting link and site failures.

Option B: Handshaking is a method where two nodes communicate with each other to confirm the status of the connection. In distributed systems, handshaking is a more common way of detecting failures because it allows both ends of the communication to verify the connection is still active, making it effective for detecting link and site failures.

Option C: Token Passing is typically used in network protocols where nodes pass a token to each other to control access to a shared resource. While token passing ensures proper coordination between nodes, it is not primarily used for failure detection in distributed systems.

Option D: None of the mentioned is incorrect, as both polling and handshaking could be used for failure detection, but handshaking is the most suitable answer for distributed systems.

Conclusion: The correct answer is Option B: Handshaking, as it is the most reliable and commonly used method in distributed systems for detecting link and site failures.

Option A: Ajax (Asynchronous JavaScript and XML) is used to create dynamic web pages where content can be updated without reloading the entire page. However, dynamic content loaded via Ajax isn't always indexed by Google’s crawling systems because it requires additional execution beyond static HTML, making it less likely to be indexed by default.

Option B: Java is a programming language primarily used for back-end development and web applications. While Java is powerful for various applications, it is not typically related to dynamic content in the context of Google crawling and indexing processes. It does not directly impact how content is rendered for crawling in most cases.

Option C: JavaScript is heavily used for dynamic web content. Content generated dynamically by JavaScript often poses a challenge for Google’s crawlers. Unless specific techniques are used, such as server-side rendering, this dynamic content might not be fully indexed because the crawler may not execute the JavaScript needed to display it.

Option D: All of the mentioned is partially correct, but it is a generalization. While Ajax and JavaScript directly relate to how dynamic content might not be indexed, Java is not directly linked to Google’s indexing challenges with dynamic content.

Conclusion: The correct answer is Option C: JavaScript, as it is the most significant factor in dynamic content that may not be indexed by Google’s crawlers without proper handling.

Option A: Confirmable is a valid messaging mode in CoAP (Constrained Application Protocol). In this mode, the sender expects an acknowledgment from the receiver, ensuring reliable message delivery.

Option B: Separate is also a valid messaging mode in CoAP. It allows a server to send a response separately from the request, useful when the response cannot be sent immediately.

Option C: Direct is not a recognized messaging mode in CoAP. CoAP uses specific messaging modes like confirmable, non-confirmable, separate, and piggyback, but "Direct" is not part of the standard terminology used for messaging modes.

Option D: Piggyback is a valid messaging mode in CoAP. In this mode, the server sends the acknowledgment along with the response in a single message, providing efficiency in communication.

Conclusion: The correct answer is Option C: Direct, as it is not a valid messaging mode in CoAP, unlike the other options, which are part of the CoAP messaging system.

Option A: Yen is not related to virtualization or hypervisors. Yen is the currency of Japan and has no connection to cloud computing or Amazon Machine Images (AMIs).

Option B: Xen is the correct answer. It is an open-source hypervisor used by Amazon Web Services (AWS) to run Amazon Machine Images (AMIs). Xen is widely used in cloud environments to manage virtual machines and run operating systems like AMIs on the cloud infrastructure.

Option C: Ben is not related to virtualization or cloud technologies. It does not refer to any known hypervisor or cloud computing concept in this context.

Option D: Multi-Factor Authentication is a security process that requires users to provide two or more authentication factors to verify their identity. While important in cloud security, it is not related to virtualization hypervisors or AMIs.

Conclusion: The correct answer is Option B: Xen, as it is the virtualization hypervisor used by AWS to run AMIs. The other options are unrelated to hypervisors or AMIs.

Option A: Data escrow refers to a service where data is held by a third party to ensure that it is secure and can be accessed when needed. This aspect is often part of the underlying infrastructure but is typically not abstracted away for the user, as it directly affects data security and access.

Option B: User interaction can often be abstracted away in cloud services. This means that the complexities of how the service operates behind the scenes, such as data processing and storage, are hidden from the user, allowing for a more seamless and straightforward user experience. Users interact with a simplified interface without needing to understand the underlying complexities.

Option C: Adoption drivers are factors that influence the decision to adopt a service, such as cost, efficiency, or functionality. These drivers are external considerations and are not abstracted away, as they are critical for users when deciding whether to use a service.

Option D: None of the mentioned implies that none of the options are abstracted away. However, as explained, user interaction can be abstracted, making this option incorrect.

Conclusion: The correct answer is Option B: User interaction, as it is the aspect of the service that is often abstracted away to provide a simplified experience for users, while the other options either remain visible to the user or are not relevant in the context of abstraction.

Option A: Standard instances are designed for general-purpose applications and provide a balance of compute, memory, and networking resources. While they are versatile, they may not be optimized specifically for compute-intensive applications.

Option B: High memory instances are optimized for applications that require a significant amount of memory, such as databases or in-memory caching systems. These instances are not focused on compute performance, making them less suitable for processor-intensive tasks.

Option C: High CPU instances are specifically designed for compute-intensive applications. They provide a higher ratio of CPU resources to memory, making them ideal for workloads that require substantial processing power, such as batch processing, high-performance computing (HPC), and scientific simulations.

Option D: None of the mentioned suggests that none of the options are suitable for compute-intensive applications. However, this is incorrect because high CPU instances are explicitly designed for such use cases.

Conclusion: The correct answer is Option C: High CPU instances, as they are the best choice for applications that are processor or compute-intensive, providing the necessary resources to handle demanding workloads effectively.

Option A: Bits are the smallest unit of data in computing, representing a binary value of either 0 or 1. While messages can ultimately be represented in bits, referring to a message as an "opaque blob" implies a larger and more complex data structure than individual bits.

Option B: Bytes consist of 8 bits and are a more appropriate unit for describing a message in pub/sub systems. Messages in this context are often treated as opaque blobs of data, meaning the content is not interpreted by the pub/sub system itself. Instead, it is delivered as a sequence of bytes, allowing flexibility in the data format.

Option C: Word generally refers to a data unit that varies in size depending on the architecture (e.g., 16, 32, or 64 bits). While a word is a valid data size, it is not commonly used to describe messages in pub/sub systems, where a more standardized unit like bytes is preferred.

Option D: Nibble represents 4 bits and is not typically used to describe the size of messages in pub/sub systems. It is a smaller unit of data compared to bytes and is insufficient for encapsulating complex messages effectively.

Conclusion: The correct answer is Option B: Bytes, as messages in pub/sub systems are typically described as opaque blobs of bytes, providing a flexible and efficient way to handle various types of data without interpretation by the messaging system.

Option A: Consumption near sweet-spot is not a widely recognized term in cloud computing or networking contexts. While it suggests optimizing resource consumption, it does not accurately define what CNS typically stands for.

Option B: Continuous network system could imply a system designed for uninterrupted network services, but it does not represent the common definition of CNS in the context of cloud computing. It lacks specificity and recognition in this field.

Option C: Compact neural system is unrelated to cloud computing terminology. This term may refer to neural network architectures in machine learning, but it does not align with the standard definition of CNS in cloud contexts.

Option D: Compound near sweet-spot is also not a recognized term in cloud computing. Similar to Option A, it suggests some form of optimization but does not define CNS correctly.

Conclusion: None of the options accurately define CNS in the context of cloud computing. However, if the question aims to refer to a term often associated with network optimization, Option A might be the closest in concept, but it is still incorrect. The acronym CNS is generally understood to refer to "Cloud Networking Services," which is not listed here. Therefore, the question may require clarification, as none of the provided options are standard definitions for CNS.

Option A: HTTP (Hypertext Transfer Protocol) is a protocol used for transferring hypertext requests and information on the internet. It supports URIs (Uniform Resource Identifiers) to locate resources and allows for specifying content types in HTTP headers, making this option relevant to the question.

Option B: UDP (User Datagram Protocol) is a communication protocol used for sending messages across a network without establishing a connection. It does not support URIs or content types in the same way that application-layer protocols like HTTP do. Therefore, this option is not relevant to the question.

Option C: CoAP (Constrained Application Protocol) is a specialized web transfer protocol for constrained devices and networks, often used in Internet of Things (IoT) applications. CoAP also supports URIs and can handle content types, making it a valid option for this question.

Option D: SPI (Serial Peripheral Interface) is a protocol used for communication between microcontrollers and peripherals. It operates at a lower level than HTTP or CoAP and does not inherently support URIs or content types, making this option irrelevant.

Conclusion: The correct answers are Option A: HTTP and Option C: CoAP, as both protocols support URI and content type features.

Option A: Host ID typically refers to a unique identifier for a host machine within a network. While it can help distinguish one machine from another, it does not specifically identify processes running on those systems, making this option inadequate.

Option B: Host name and identifier combines both the name of the host and an additional identifier. Although it provides a way to locate a host, it does not directly relate to identifying specific processes running on the remote systems, thus making it less precise.

Option C: Identifier is a general term that could refer to various types of identifiers, but it lacks specificity. It does not clarify what kind of identifier is being used to identify processes on remote systems, making this option vague.

Option D: Process ID (PID) is a unique number assigned by the operating system to each running process. It specifically identifies processes on the system, whether local or remote, making this option the most accurate in the context of identifying processes.

Conclusion: The correct answer is Option D: Process ID, as it accurately represents how processes on remote systems are identified. Process IDs are essential for managing and monitoring processes effectively, making them the most relevant choice in this context.