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UCS551 REVISION

Total questions: 20

Worksheet time: 13mins

Name
Class
Date
1.

What is data analytics? 

a)

The study of ancient data 

b)

The process of extracting insights from data 

c)

A type of data storage format 

d)

A programming language

2.

All of these are levels of measurement except:

a)

Ratio Data

b)

Interval Data

c)

Ordinal Data

d)

Nominal Data

e)

Descriptive Data

3.

Which of these are the type of data analytics?

a)

Predictive analytics

b)

Diagnostic analytics

c)

Prescriptive analytics

d)

Descriptive analytics

e)

All of these

4.

In the scenario where a retail company analyzes historical data to understand the causes behind a sudden decrease in product sales, which type of data analytics is being employed?

a)

Predictive analytics

b)

Descriptive analytics

c)

Diagnostic analytics

d)

Prescriptive analytics

5.

In a dataset capturing information about customer purchases, including columns like "Customer ID," "Product Name," "Price," and an unexpected column labeled "Sensor Reading," you've realized that the "Sensor Reading" column doesn't provide relevant information for your analysis. What is the appropriate step to enhance the dataset?

a)

Remove duplicate rows

b)

Fill in missing values

c)

Remove the "Sensor Reading" column

d)

Standardize numerical values

6.

Univariate Data is data set that consist of a _________ variable while Multivariate Data is data set that consist of a _________ variables.

a)

single, multiple

b)

multiple, single

c)

single, categorical

d)

time-series, categorical

7.

What step needed because of incomplete, noisy, and inconsistent data are common place properties of large real world database and data warehouse.

a)

Data Warehousing

b)

Data Collecting

c)

Data Preprocessing

d)

Data Storage

8.

In a retail corporation, the sales, inventory, and customer service departments maintain separate databases. To obtain a comprehensive view of customer interactions, what process is essential for combining these datasets?

a)

Data normalization

b)

Data cleansing

c)

Data aggregation

d)

Data integration

9.

In the context of data analysis, what technique involves representing data graphically to identify patterns, trends, and insights more effectively?

a)

Data normalization

b)

Data visualization

c)

Data integration

d)

Data aggregation

10.

What type of chart is shown ?

(a)  

11.

To classify labelled image of cats and dog we can use these algorithm except:

a)

Decision Tree

b)

K-NN

c)

K-Means

d)

Random Forest

12.

This is a (a)   Network architecture which is a classifier that mimic human brain.

13.

What is algorithm use for clustering?

a)

K-Means

b)

K-NN

c)

Logistic Regression

d)

N-Means

14.

What is the first method for K-Means?

a)

Randomly choose k number of center point

b)

Choose a number of cluster

c)

Each data point classified by their distance to the center point

d)

Recompute group center point by taking means of all the vectors in the group

15.

When dealing with missing values in a dataset for a nominal variable (categorical data without inherent order), which approach is appropriate for replacement?

a)

Use the mean of the available values

b)

Use the mode of the available values

c)

Use linear regression to predict missing values

d)

Discard rows with missing values

16.

In data analytics, what does the term "ETL" stand for? 

a)

Efficient Textual Language 

b)

Exception, Termination, Log 

c)

Elasticity, Tolerance, Loss

d)

Extract, Transform, Load 

17.

Which type of data visualization is most suitable for representing the distribution of a single continuous variable, providing insights into the range, skewness, and potential outliers?

a)

Bar chart

b)

Scatter plot

c)

Histogram

d)

Pie chart

18.

Why did the English teacher bring a ladder to class?

a)

Because she wanted to improve their spelling.

b)

Because she heard the class was going to a higher level.

c)

Because she wanted to reach the students' high expectations.

d)

Because she needed a better perspective on grammar.

19.

Consider the following dataset representing the daily temperatures for the first six days of a week in a city:

If the temperature for the 7th day is missing, and you decide to replace it. What is the value to replace the 7th day temperature?

a)

28.5

b)

29.5

c)

30.5

d)

31.5

20.

Consider the following dataset representing the weather conditions for the first six days of a week in a city:

If the weather condition for the 7th day is missing, and you decide to replace, which is the appropriate weather to replace it?

a)

Sunny

b)

Cloudy

c)

Rainy