1
Data architecture is best described as
Correct Answer
the models, policies and rules that define how data is collected, stored, arranged and used
☑ MCQ PRACTICE
Data Analytics Unit 1
Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.
Data Analytics - Unit-1
2
Which of the following is an example of machine-generated sensor data?
Correct Answer
Temperature readings from an IoT sensor
3
GPS data typically consists of
Correct Answer
latitude, longitude and time stamps
4
Which of the following is unstructured data?
Correct Answer
Images and free text
5
Structured data is usually stored in
Correct Answer
rows and columns of tables
6
Noise in data refers to
Correct Answer
random error or variance in a measured variable
7
An outlier is
Correct Answer
a data point that differs significantly from the other observations
8
Which technique is commonly used to handle missing values?
Correct Answer
Imputation
9
Duplicate data means
Correct Answer
the same record appears more than once
10
Which of the following is NOT a dimension of data quality?
Correct Answer
Colourfulness
11
Binning is used to smooth noisy data by
Correct Answer
grouping sorted values into bins and replacing them with bin means or boundaries
12
Data cleaning is the process of
Correct Answer
detecting and correcting errors and inconsistencies in data
13
Data integration means
Correct Answer
combining data from multiple sources into a unified view
14
ETL stands for
Correct Answer
Extract, Transform, Load
15
A data warehouse is
Correct Answer
a subject-oriented, integrated, time-variant, non-volatile collection of data
16
An ECG recording is an example of
Correct Answer
signal data
17
Which of the following is a data transformation technique?
Correct Answer
Normalization
18
Min-max normalization scales the values to the range
Correct Answer
0 to 1
19
According to the IQR rule, a value is an outlier if it lies
Correct Answer
below Q1 − 1.5×IQR or above Q3 + 1.5×IQR
20
The main aim of data reduction is to
Correct Answer
reduce the data volume while preserving analytical results
21
The three Vs of big data are
Correct Answer
Volume, Velocity and Variety
22
Data governance deals with
Correct Answer
policies for the availability, usability, integrity and security of data
23
Z-score normalization uses
Correct Answer
the mean and standard deviation of the attribute
24
Which device generates location data?
Correct Answer
A GPS receiver
25
Replacing the missing values of a numeric attribute with the attribute mean is called
Correct Answer
mean imputation
Fill in the Blanks
26
GPS data contains latitude, longitude and __________ stamps.
Correct Answer
time
27
__________ is random error or variance in a measured variable.
Correct Answer
Noise
28
A data point that differs greatly from the other observations is called an __________.
Correct Answer
outlier
29
Records that appear more than once are called __________ data.
Correct Answer
duplicate
30
Replacing missing values with estimated values is called __________.
Correct Answer
imputation
31
ETL stands for Extract, Transform and __________.
Correct Answer
Load
32
The __________ rule uses Q1 − 1.5×IQR and Q3 + 1.5×IQR to detect outliers.
Correct Answer
IQR
33
Min-max normalization scales values to the range 0 to __________.
Correct Answer
1
34
A __________ is a subject-oriented, integrated, time-variant, non-volatile collection of data.
Correct Answer
data warehouse
35
The three Vs of big data are Volume, Velocity and __________.
Correct Answer
Variety
36
__________ data has no predefined format, for example images and free text.
Correct Answer
Unstructured
37
__________ smoothing groups sorted values into bins to reduce noise.
Correct Answer
Binning
38
__________ cleaning is the process of detecting and correcting errors in data.
Correct Answer
Data
39
Z-score normalization uses the mean and the __________ deviation.
Correct Answer
standard
40
Data __________ describes how data is collected, stored and integrated in an organisation.
Correct Answer
architecture