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Big Data Analytics - Week 3 Data Streaming

Total questions: 6

Worksheet time: 4mins

Name
Class
Date
1.

Which of the following is a property of Streaming Data? Select all that apply.

a)

Data is not in order

b)

Only small window available for processing

c)

Dataset is finite

d)

Size and frequency of data are sporadic

2.

Which of the following are features of a stream processing application? Select all that apply.

a)

Centralised architecture

b)

Fault tolerance

c)

Batch processing

d)

Low latency

3.

Which of the following is a Data Streaming application?

a)

Apache Kafka

b)

Hadoop MapReduce

c)

Apache Hive

d)

MongoDB

4.

In which of the following situations should the company use a stream processing application? Select all that apply.

a)

A car manufacturing industry wants to analyse how many products are sent to scrap each month.

b)

A taxi company wants to understand how to change the taxi fare depending on demand.

c)

The metrological department wants to predict the weather using historical data.

d)

The Environmental agency wants analyse the level of air pollution in real-time and display it on a dashboard.

5.

In Apache Kafka, events are organised into _____.

a)

Tables

b)

Documents

c)

Topics

d)

Timestamp

6.

In the figure, P1 and P2 represents partitions 1 and 2. Imagine a new data packet needs to be added to the partitions. How will this look like? Select the correct answer.

a)

Append to P2 with offset value 3

b)

Append to P1 with the offset value 3

c)

Insert in P2 with offset value 2

d)

Insert in P1 with offset value of 2