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| Section | Weight | Objectives |
|---|---|---|
| Cloud Computing Technologies | 25% | - Network Virtualization - Server Virtualization - Desktop Virtualization - Virtualization Technology - Distributed Storage Technology |
| Cloud Computing Fundamentals | 15% | - Cloud Computing Service Models (IaaS, PaaS, SaaS) - Cloud Computing Concepts and Evolution - Cloud Computing Deployment Models - Benefits and Challenges of Cloud Computing |
| Cloud Computing Applications | 15% | - Solution Design - Operation and Maintenance - Business Scenarios |
| Huawei Cloud Computing Solutions | 30% | - FusionAccess Overview - FusionStorage Overview - Cloud Computing Platform Architecture - FusionCompute Overview - Product Features and Functions |
| Cloud Computing Security | 15% | - Security Architecture - Cloud Security Threats - Compliance and Regulations - Security Best Practices |
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NEW QUESTION # 41
The kernel is an essential part of the operating system, which is used to manage computer hardware resources and provide the system call interface required by the upper application program to run.
Answer: A
NEW QUESTION # 42
The function of the Internet of Things is only to collect data generated by various things.
Answer: A
NEW QUESTION # 43
In Huawei FusionAccess, Huawei Desktop Protocol (HDP) classifies displayed bitmaps. It uses the lossless compression algorithm for text and the lossy compression algorithm for non-sensitive data, saving bandwidth without compromising user experience.
Answer: B
Explanation:
According to the Huawei HCIA-Cloud Computing curriculum, specifically the section on Huawei Desktop Protocol (HDP), the statement provided is FALSE. While the protocol does indeed perform "Intelligent Desktop Recognition" to classify bitmaps and apply different compression algorithms, the classification criteria are based on the image type (content characteristics), not the "sensitivity" of the data.
HDP classifies screen content into two primary categories:Non-natural images(such as text, lines, and desktop window frames) andNatural images(such as photographs, gradients, and video frames). For non-natural images like text, HDP uses alossless compression algorithm. This ensures that the edges of characters remain crisp and readable, preventing the "blurring" effect that can lead to eye strain. For natural images, the protocol uses alossy compression algorithm(such as H.264/H.265 based encoding). This significantly reduces the amount of data transmitted over the network while maintaining a visual quality that is acceptable to the human eye for pictorial content.
The term "non-sensitive data" used in the question is not a technical term within the HDP specification. A user's bank statement (highly sensitive) and a random text document (non-sensitive) would both be compressed using the lossless algorithm because they are both "text" content. Therefore, the compression logic is strictly content-aware to optimize the User Experience (UX) and bandwidth, regardless of the data's security classification. Understanding this distinction is vital for the exam as it highlights Huawei's "Graphics and Text Separation" technology.
NEW QUESTION # 44
Which of the following descriptions about the conditions for creating virtual machine snapshots is wrong?
Answer: C
NEW QUESTION # 45
KVM is based on the underlying CPU hardware-assisted virtualization technology, so it needs CPU support for virtualization features to be realized.
Answer: B
NEW QUESTION # 46
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