Cloud Computing Week 7 Assignment Answer
Cloud Computing Week 7 Assignment Answer
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1. In a mobile cloud gaming application, users frequently experience frame drops and lag when moving between different Wi-Fi and cellular networks. The primary underlying challenge specific to Mobile Cloud Computing (MCC) in this scenario is:
A) Insufficient number of installed games on the mobile device
B) High dependency on wide-area network conditions for remote execution
C) Overprovisioned CPU and memory on the mobile device
D) Removal of mobile device caches during gameplay
Answer : b
2. Which of the following is the primary reason for deploying a cloudlet (micro data center) in
a campus or stadium?
A) To eliminate the need for encryption between device and cloudlet
B) To provide low-latency compute for AR/VR and other real-time applications close to users
C) To guarantee compliance with global data sovereignty laws
D) To permanently replace centralized cloud data centers
Answer : b
3. Dynamic offloading decision engines often consider an energy-delay trade-off. Which measured parameter below is least useful for that decision at runtime?
A) Current cellular bandwidth and RTT
B) Device battery remaining (percentage)
C) Number of apps installed on the device
D) Estimated CPU time for the task locally
Answer : c
4. A university deploys a small server cluster inside its campus cafeteria to support AR-based menu
visualization and nutrition analysis for students’ smartphones. Computation is offloaded from
phones to this on-site cluster to minimize delay. This on-site resource is best described as:
A) A global hyperscale cloud data center
B) A cloudlet placed close to end users
C) A personal hotspot on a student’s phone
D) A satellite relay node in geostationary orbit
Answer : b
5. A mobile banking app uses MCC to process transactions on cloud servers. Data is transmitted over
the Internet from the app to the cloud. Which of the following is the most critical security concern
in this context?
A) The screen size of the mobile device is too small
B) The app icon resolution being too high
C) Excessive variety of smartphone colors available in the market
D) Confidentiality of sensitive data while it is transmitted and processed
Answer : d
6. Which of the following is a key advantage of Fog Computing over Cloud Computing?
A)Better support for real-time applications like healthcare monitoring and autonomous vehicles
B)Higher centralization of resources
C) Infinite storage capacity
D) Removal of network infrastructure
Answer : a
7. Which of the following best explains why 5G + Edge/Fog is often recommended for real-time
remote healthcare monitoring?
A) 5G guarantees zero packet loss in all deployments
B) 5G replaces the need for any local processing hardware
C) Edge processing reduces decision latency while 5G offers low transport latency and high reliabılity
D) Edge nodes make patient data public for faster access
Answer : c
8. In geospatial cloud workflows that process very large satellite image files, which optimization
typically gives the most direct improvement in parallel processing throughput?
A) Increasing on-device screen resolution of the operator’s laptop
B) Using a single-threaded processing pipeline to avoid synchronization overhead
C) Renaming files to shorter filenames to reduce I/O time
D)Partitioning large raster tiles into spatially-indexed blocks processed in parallel
Answer : d
9. A startup processes global high-resolution satellite imagery and LiDAR data to detect deforestation patterns. When migrating to a geospatial cloud platform, which challenge is most fundamental from a data-processing perspective?
A) Extremely high computation and storage demands for massive raster and vector datasets
B) The general lack of public interest in environmental topics
C) The impossibility of running any GIS software on cloud infrastructure
D) The mandatory removal of open geospatial standards (e.g., OGC standards) in cloud systems
Answer : a
10. A smart healthcare system uses wearable sensors to continuously monitor patients’ ECG signals
and detect abnormalities in real time. Alerts must be raised within a few hundred milliseconds.
Which combination is most appropriate to meet these latency requirements?
A) Batch analyties in a distant cloud region + periodic manual report downloads
B) Pure cloud processing over a high-latency satellite link
C) Fog/Edge nodes performing local pre-processing + low-latency wireless access network (e.g.. 5G)
D) Storing all data offline on the device and uploading it once per day
Answer : c
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