Fundamentals of Cloud IoT Edge ML Assignment 7 Answers
1) Which holds true for spark streaming?
- Extends Spark for doing big data stream processing.
- Built-in support to consume from Kafka, Flume, Twitter, ZeroMQ, Kinesis, and TCP/IP sockets
- Receive data streams from input sources, process them in a cluster, push out to databases/ dashboards
- All of the above
Answer: All of the above
2) Following are the important features of spark streaming.
- Scaling
- Fault tolerance
- Integration
- All of the above
Answer: All of the above
3) What is stream processing?
- Ability to ingest, process and analyze data in-motion in real- or near-real-time
- Event or micro-batch driven, continuous evaluation and long-lived processing
- Enabler for real-time Prospective, Proactive and Predictive Analytics for Next Best Action
- All of the above
Answer: All of the above
4) Storm in existing streaming system refers to
- Replays record if not processed by a node
- Processes each record at least once
- May update mutable state twice
- All of the above
Answer: All of the above
5) Dstream classes has the following
- Different classes for different languages (Scala, Java)
- Dstream has 36 value members
- Separate Python API
- All of the above
Answer: All of the above
6) MQTT is mainly used for __________
- M2M communication
- Device communication
- Internet communication
- Wireless communication
Answer: M2M communication
7) MQTT is _________ oriented.
- Data
- Message
- Network
- Device
Answer: Message
8) _______ is stable in unreliable environments of high latency and low network bandwidth which makes it a perfect match for Internet of Things scenarios like connected cars or smart homes.
- MQTT
- CoAP
- XMPP
- HTTP
Answer: MQTT
9) The characteristics of Kafka is/are:
- It is a distributed and partitioned messaging system.
- It is highly fault-tolerant
- It is highly scalable
- All of the above
Answer: All of the above
10) Kafka guarantees the following:
- Messages sent by a producer to a topic and a partition are appended in the same order
- A consumer instance gets the messages in the same order as they are produced
- A topic with replication factor N, tolerates upto N-1 server failures
- All of the above
Answer: All of the above
11) List out the characteristics of edge computing.
- Edge computing makes the cloud truly distributed
- Moves core cloud services closer to the origin of data
- Edge mimics public cloud platform capabilities
- All of the above
Answer: All of the above
12) The major benefits of moving data centers to the edge involve improvements to latency, bandwidth, operating costs, and security.
- True
- False
Answer: True
13) ________ can deliver cached content and cloud computing resources to these devices, which is a distributed IT architecture where client data is processed as close to the originating source as possible.
- Edge data centers
- Public cloud
- Centralised data centers
- None of the above
Answer: Edge data centers
14) _______ category of clouds is accessible only to company employees and _______ category of clouds provide service to any paying customer
- Private, public
- Public, private
- Private, hybrid
- Hybrid, public
Answer: Private, public
15) A single-site cloud (as known as “Datacenter”) consists of
- Compute nodes (grouped into racks)
- Switches, connecting the racks
- A network topology, e.g., hierarchical
- All of the above
Answer: All of the above
16) In IoT edge, the data is initially collected from the ________ is passed through the __________ and then the data is streamed to the __________.
- IoT azure sensor, IoT edge gateway, data-store.
- IoT hub, IoT edge gateway, data-store
- IoT azure sensor, IoT hub, data-store
- IoT hub, IoT sensor, data-store
Answer: IoT azure sensor, IoT edge gateway, data-store.
17) Which holds true for Cassandra?
- A distributed key-value store
- Intended to run in a datacenter (and also across DCs)
- Open-sourced
- All of the above
Answer: All of the above
18) __________ is an operation in which data from one node is copied to different nodes in the cluster. This operation ensures redundancy and fault tolerance in the database.
- Data replication
- Commit log
- Composite key
- None of the above
Answer: Data replication
19) The CAP Theorem says that it is impossible to build an implementation of read-write storage/system in an asynchronous network that satisfies all of the following three properties i.e. Availability, Consistency, and Partition tolerance
- True
- False
Answer: True
20) _________ in CAP theorem is when the network fails to deliver some messages to one or more nodes by losing them.
- Partition
- Consistency
- Availability
- None of the above
Answer: Partition
Disclaimer: CHANDRAS EDU does not guarantee the correctness of the answers. These answers are based on the data provided by the NPTEL video lectures, are just for reference, and request students to complete the assignments independently.
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