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Journey towards Advanced Analytics

Total questions: 10

Worksheet time: 6mins

Name
Class
Date
1.

Which is true for practical data?

a)
b)
c)
d)
2.

Data Science is to insights, Machine Learning is to predictions. AI is to ______

a)

actions

b)

large scale predictions

c)

automations

d)

revolution

3.

Mostly used python library in Data processing?

a)

scikit-learn

b)

numpy

c)

matplotlib

d)

pandas

4.

Which database has schema?

a)

Hbase (Hadoop)

b)

Redis

c)

MongoDB

d)

PostgreSQL

5.

Which is NOT a specialized BI tool?

a)

Excel

b)

Power-BI

c)

Tableau

d)

Qlik sense

6.

Where do Data Analyst(DA) and Data Scientist(DS) differ?

a)

No difference; same role

b)

DS - research questions & insights , predictions

DA - only reports & insights

c)

DA analyses data but DS only develops prediction models

d)

DA fetches data, DS doesn't fetch data

7.

Difference between Machine learning(ML) and Deep learning(DL) ?

a)

DL is part of AI where ML is not.

b)

ML mimics human brain ; DL can't

c)

ML needs feature engineering where DL doesn't

d)

Both are basically same

8.

You have a task to do churn prediction of users (yes/no). Which algorithm will you use in base line model selection?

a)

1. XGBoost

b)

2. K-means Clustering

c)

None

d)

Both 1 & 2

9.

Which is best use of Clustering?

a)

Market segmentation

b)

Sales forecasting

c)

Fraud prediction

d)

Anomaly detection

10.

You need to write a SQL query , fetch data, manipulate them and e-mail to clients. which should you use for efficiency?

a)

PHP

b)

Java

c)

SQL

d)

Python