Cloud Computing Week 8 Assignment Answer
Cloud Computing Week 8 Assignment Answer
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1. In Docker, which command will show all containers (both running and stopped) on the host?
A) docker ps
B) docker ps -a
C) docker container run
D) docker images
Answer : b
2. Which statement about Docker volumes is TRUE?
A) Docker volumes are stored inside a container’s writable layer.
B) Docker volumes are automatically deleted when a container stops.
C) Docker volumes persist independently of the container lifecycle.
D) Docker volumes can only be attached to one container at a time.
Answer : c
3. Which statement best describes the relationship between containers and virtual machines?
A) A single container usually includes its own kernel, separate from the host.
B) Multiple containers can share the same OS kernel while running on a VM.
C) Containers must run directly on bare-metal hardware and cannot run inside VMs.
D) VMs must always run inside containers for isolation.
Answer : b
4. Which of the following is NOT a primary responsibility of Kubernetes?
A) Automatic restart of failed containers.
B) Scheduling containers across a cluster of nodes.
C) Providing low-level hardware virtualization via hypervisor extensions.
D) Load balancing traffic across multiple replicas of a service.
Answer : c
5. In a Green Cloud data center, which strategy most directly reduces energy consumption while
maintaining SLA as much as possible?
A) Keeping all servers powered on but underutilized to handle sudden spikes.
B) Randomly assigning VMs to physical hosts to spread heat evenly.
C) Consolidating VMs onto fewer physical servers and powering down idle machines.
D) Running all workloads on the oldest hardware first to extend newer hardware lifetime.
Answer : c
6. Which is the biggest practical challenge when integrating wireless sensor networks (WSNs) directly
into a Sensor-Cloud?
A) Sensors typically cannot support full virtualization due to limited compute/memory.
B) Sensor nodes always have plentiful power and do not need energy-aware designs.
C) Sensors typically produce data that is low-volume, homogeneous and trivial to store.
D) Sensors natively run container orchestrators like Kubernetes.
Answer : a
7. Which architecture is most appropriate to support ultra-low-latency IoT applications (e.g., industrial control, autonomous systems) that cannot tolerate high round-trip time to a distant cloud?
A) Rely solely on centralized cloud data centers located far from devices.
B) Use edge/fog computing nodes closer to the devices for processing.
C) Buffer all data at the cloud and respond in large periodic batches.
D) Disable any local processing on devices and send raw data directly to the cloud.
Answer : b
8. Why is it often necessary to preprocess or aggregate sensor data before long-term storage in large-scale IoT/Sensor Cloud systems?
A) To reduce rapidly growing storage and processing costs from raw high-volume data
B) Because all sensor data is already compressed and easy to store
C) To eliminate the need for cloud infrastructure
D) To make sensors consume more battery power
Answer : a
9. Consider the following statements about virtualization in a Sensor Cloud:
Statement 1: Virtual sensors can be created by aggregating, filtering, or combining data from
multiple physical sensors.
Statement 2: Virtualization in a Sensor Cloud allows multiple applications to share the same
underlying physical sensor infrastructure.
Which option is correct?
A) Statement 1 is True and Statement 2 is False
B) Statement 1 is False and Statement 2 is True
C) Both statements are True
D Both statements are False
Answer : c
10. What is the primary reason latency-critical IoT applications (e.g., autonomous vehicle control)
cannot rely solely on a centralized cloud?
A) Cloud data centers are too expensive to operate.
B) Physical network distance to cloud data centers introduces unacceptable round-trip latency.
C) Cloud platforms do not support real-time data analytics.
D) IoT devices cannot connect to the internet continuously.
Answer : b
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