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QT РТ 11

Last updated over 4 years ago

30 questions

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Question 1

1.

I. Put questions to the underlined words.
1. Something happened during the storm last night.

Question 2

2.

2. One of the students didn't do the final exam.

Question 3

3.

3. I dreamt about a strange animal last night.

Question 4

4.

4. Somebody rang me at 3 am last week!

Question 5

5.

5. Someone gave me a watch for my birthday.

Question 6

6.

6. Martin is thinking about his holiday.

Question 7

7.

II. Put in tags.
7. Let's go, ……………………... ?

Question 8

8.

8. Don't smoke, ………………………….. ?

Question 9

9.

9. I am right, ........... ?

Question 10

10.

10. Nobody saw them on Monday, …………………………. ?

Question 11

11.

11. We often watch TV in the afternoon, …………………………..?

Question 12

12.

III. All questions are wrong. Write the correct questions.
12. When begins the race?

Question 13

13.

13. Sell you fish?

Question 14

14.

14. Who does the trumpet play?

Question 15

15.

15. Plays Mike volleyball?

Question 16

16.

Question 17

17.

Question 18

18.

Question 19

19.

Question 20

20.

Question 21

21.

Question 22

22.

Question 23

23.

Question 24

24.

Question 25

25.

Question 26

26.

Question 27

27.

Question 28

28.

Question 29

29.

Question 30

30.

IV Match the following words to the appropriate definitions: 
something that will solve all problems

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

used to describe a business or system that is able to grow or to be made larger

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

a quality or characteristic that someone or something has

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

an occasion when someone goes into a place or situation where they are not wanted or expected to be

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

the crime of getting money by deceiving people

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

a large amount of information stored on one computer, or on a number of computers in the same place

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

the action of supporting or opposing a particular person or thing in an unfair way, because of allowing personal opinions to influence your judgment.

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

to increase the size, amount, or importance of something, usually an organization or process

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

the process of using special software to look at large amounts of computer data in order to find out useful information, for example what types of product a company's customers buy

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

to use something for the wrong purpose in a way that is harmful or morally wrong

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

the part of a car that contains some of the controls used for driving and the devices for measuring speed and distance

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

to use something or someone, especially in an effective way

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

a computer system or a type of computer program that is designed to copy the way in which the human brain operates

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis

an area of interest or an area over which a person has control

bias

dashboard

fraud

intrusion

data mining

scalable

data warehouse

deploy

abuse

panacea

scale up

attribute

domain

neural networks

market-basket analysis