# data[].attributes.body
Vet

nurse

doctor

# data[].attributes.body
DOCTOR

TEACHER

NURSE

ENGINEER

LAWYER

# data[].attributes.body
Doctor

Teacher

Engineer

Nurse

Architect

Dentist

Accountant

Police officer

# data[].attributes.body
Doctor

teacher

nourse

police

# data[].attributes.body
nutrition, physical therapy, architecture, veterinary medicine, psychology

# data[].attributes.body
historian

doctor

nurse

veterinarian

secretariat

# data[].attributes.body
Doctor, Pharmacist, Biologist, Chemist, Nurse, Microbiologist,Nutritionist, teacher,

# data[].attributes.body
Nurse

Doctor

Teacher

Dentist

Lawyer

# data[].attributes.body
doctor

nurse

engineer

biologist

veterinarian

nutritionist

# data[].attributes.body
Nurse

Doctor

Teacher

Engineer

Lawyer

Police officer

Chef

Architect

# data[].attributes.headline
Doctor, nurse, psychologist, teacher, lawyer, accountant

# data[].attributes.subject
Doctor, nurse, psychologist, teacher, lawyer, accountant

# data[].attributes.body
nurse

judge

teacher

engineer

psychologist

# data[].attributes.body
Firefighter, Lawyer,Teacher,Dentist, Journalist

# data[].attributes.body
Nurse

Architec

Engineer

Philosopher

Teacher

Physicist

Designer

# data[].attributes.body
Nurse

Doctor

Nutricionist

Dentist

Engineer

Teacher

Psychologist

Architect

# data[].attributes.body
doctor

nurse

enginner

lawyer

pilot

veterinarian

waiter

# data[].attributes.body
engineer (ingeniero)

nurse (enfermero/a)

doctor (médico)

teacher (profesor)

Dentist (dentista)

Police (policia)

# data[].attributes.body
4)This is Marie. She’s from France and she’s a student.

5) This is Yaseen. He’s from Jordan and he’s a pilot.

6)This is Luis. He’s from Brazil and he’s a teacher.

7)This is Kaya. She’s from South Africa and she’s a musician.

8)This is Cho. He’s from South Korea and he’s a chef.

9)This is Nanako. She’s from Japan and she’s a travel agent.

10) This is Nicolas. He’s from Australia and he’s a journalist.

# data[].attributes.body
4 france , student

5 jordan, pilot

6 brazil, teacher

7 south africa, musician

8 south korean, chef

9 japan, journalist

10 australia , travel agent

# data[].attributes.body
1.This is Norma. She’s from Mexico and she’s a dancer.

2.This is Gabriela. She’s from Brazil and she’s a student.

3.This is Frank. He’s from Ireland and he’s a police officer.

4.This is Marie. She’s from France and she’s a teacher.

5.This is Yaseen. He’s from Jordan and he’s a pilot.

6.This is Luis. He’s from Peru and he’s a journalist.

7.This is Kaya. She’s from South Africa and she’s a musician.

8.This is Cho. He’s from Korea and he’s a chef.

9.This is Nanako. She’s from Japan and she’s a travel agent.

10.This is Nicolas. He’s from Australia and he’s a photographer.

# data[].attributes.body
4. France- student

5. Jordan-pilot

6. Brazil-teacher

7. South africa-musician

8. South korea-chef

9. Japan-travel agent

10. Australia-journalist

# data[].attributes.body
1) Mexico - dancer

2) Peru - photographer

3) Ireland - police officer

4) Francia - student

5) Jordan - pilot

6) Brazil - teacher

7) South Africa - musician

8) South Korea - chef

9) Japan - journalist

10) Australia - travel agent

# data[].attributes.body
2. This is Gabriela. She's from Peru and she's a photographer

3. this is a frank. He's from insland and he's a police officer

4. this is Marie. She's from francia and she's a student

5. this is yaseen. He's from jordan and he's a pilot

6. this is luis. He's from brazil and he's a teacher

7. this is kaya. She's from south africa and she's musician

8. this is Cho. He's from south Korean and he's a chef

9. This is nanako. She's from japan and she's travel agent

10. This is nicolas. He's from australia and he's a journalist

# data[].attributes.body
4.- France / student

5.- Jordan/ pilot

6.- Brazil / teacher

7.- South africa / musician

8.- South korea / chef

9.- Japan / journalist

10.- Australia / travel agent

# data[].attributes.body
This is Gabriela. She’s from Peru and

she’s a photographer

This is Frank. He’s from France and he’s a police officer

This is Marie. She’s from Brazil and she’s a student

This is Yaseen. He’s from Jordan and he’s a pilot

This is Luis. He’s from South Africa and he’s a journalist

This is Kaya. She’s from South Africa and she’s a musician

This is Cho. He’s from South Korea and he’s a chef

This is Nanako. She’s from Japan and she’s a teacher

This is Nicolas. He’s from Australia and he’s a travel agent

# data[].attributes.body
4.France, student

5.Jordan, pilot

6.Brazil, teacher

7.South Africa, musician

8. South korean, chef

9. Japan, journalist

10. Australia, travel agent

# data[].attributes.body
4. france - student

5. Jordan - pilot

6. brazil - teacher

7. south africa - musician

8. south korea - chef

9. japan - travel agent

10. australia - journalist

# data[].attributes.body
4. This is Mari. he's from france and shot a student

5. This is Yaseen. He's from jordan and he's a pilot

6. This is Luis. He's from brasil and he's teacher

7. This is kaya. Shes´from south africa and she´s a musician

8. This is cho. he´s from south korea and he´s a chef

9. This is Nanako She's from japan and she's a travel agent

10. This is Nicolas. He's from australia and he's a journalist

# data[].attributes.body
1.this is Norma .She"s from Mexico and she"s a dancer.

2.This is Gabriela. She"s from Peru and she's a photographer.

3.This is a frank. He"s from insland and he's a police officer

4.This is Marie. She"s from francia and she's a student

5.This is yaseen. He"s from jordan and he"s a pilot

6.This is luis. He"s from brazil and he"s a teacher

7.This is kaya. She"s from south africa and she's musician

8.This is Cho. He"s from south Korean and he's a chef

9.This is nanako. She"s from japan and she's travel agent

10.This is nicolas. He"'s from australia and he's a journalist

# data[].attributes.body
1) FRANCE

2) EGYPT

3) CHINA

4) USA

5) INDIA

6) THE UAE

# data[].attributes.body
France

Egypt

China

The USA

India

The UAE

# data[].attributes.headline
Class 2 GUEES THE COUNTRY BY THE LANDMAK

# data[].attributes.subject
Class 2 GUEES THE COUNTRY BY THE LANDMAK

# data[].attributes.body
1C) FRANCE

2B) EGYPT

3A) CHINA

4A) THE USA

5A) INDIA

6A) THE UAE

7 ) BRAZIL

# data[].attributes.body
France

# data[].attributes.body
1.France

2.Egypt

3.China

4.The USA

5.India

6.The UAE

# data[].attributes.body
France

# data[].attributes.body
COUNTRIES

1. FRANCE

2. EGYPT

3. CHINA

4. THE USA

5. INDIA

6. THE UAE

# data[].attributes.body
c) FRANCE

b) EGYPT

a) CHINA

a) THE USA

a) INDIA

c) THE UAE

# data[].attributes.body
FRANCE

EGYPT

CHINA

THE USA

INDIA

The UAE

BRAZIL

# data[].attributes.body
B )Egypt

A) China

The USA

India

The UAE

# data[].attributes.body
This is Norma. She’s from Mexico and she’s a dancer.

This is Gabriela. She’s from Brazil and she’s a photographer.

This is Frank. He’s from Canada and he’s a travel agent.

This is Marie. She’s from France and she’s a chef.

This is Yaseen. He’s from Jordan and he’s a pilot.

This is Lee. He’s from South Korea and he’s a student.

This is Kaya. She’s from South Africa and she’s a musician.

This is Cho. He’s from Japan and he’s a journalist.

This is Nanako. She’s from Japan and she’s a teacher.

This is Nicolas. He’s from Australia and he’s a police officer.

# data[].attributes.body
Egypt

China

The USA

India

The UAE

# data[].attributes.body
1) France

2) Egypt

3) China

4) The USA

5) India

6) The UAE

# data[].attributes.body
1 c) france

2 b)egypt

# data[].attributes.body
a) china

# data[].attributes.body
1.- France

2.- Egypt

3.- China

4.- The USA

5.- India

6.- The UAE

# data[].attributes.body
1. France

2. Egypt

3. China

4. The USA

5. India

6.The UAE

# data[].attributes.body
1.- france

2.-egypt

3.-china

4.- USA

5.-india

6.-the UAE

# data[].attributes.body
France

Egypt

China

# data[].attributes.body
France

Egypt

china

the usa

India

# data[].attributes.body
- France

- Egypt

- China

- The USA

- India

- The UAE

# data[].attributes.body
1. France

2. Egypt

3. China

4. The USA

5. India

# data[].attributes.body
1. France

2. Egypt

3. China

4. The USA

5. India

6. The UAE

# data[].attributes.body
Australia

# data[].attributes.body
the UAE

# data[].attributes.body
She is a musician

She's from Colombia

# data[].attributes.body
He is from Bogotá, Colombia

He is guitarists in the band MORAT

# data[].attributes.body
This is Elon Reeve Musk

He is from Pretoria, South Africa and is a very good businessman

# data[].attributes.body
He is Paul McCartney.

He is from Liverpool, England.

He is a singer.

# data[].attributes.body
this is Ed Sheeran

He is from UK

He is a singer

I like his songs

# data[].attributes.body
This is Gustavo Cerati
He is from Argentina.
He is a singer.

# data[].attributes.body
She is a musician

She is from EE.UU

# data[].attributes.body
He's a actor.

He's from USA

# data[].attributes.body
She is Riahanna

she is from Barbados

she is a singer

# data[].attributes.body
This is Karol G

She is from Colombia

She is a singer

# data[].attributes.body
This is Zendaya Stoermer

She is from USA

She is a good actress

# data[].attributes.body
This is zendaya

She is from the United States

She is an actress and singer

# data[].attributes.body
he is a actor ,he is from USA

# data[].attributes.body
She is actress

She is from the United States

# data[].attributes.body
Carlos listens to Juan Pablo Isaza and Juan Pablo Villamil from the band Morat. They are both guitarists from Bogotá, Colombia.

Sofia listens to the singer Ed Sheeran, who lives in the UK.
She loves his songs.
Especially "Perfect"

# data[].attributes.body
1 . Are you a doctor? _ b: No, I am not.

# data[].attributes.body
1. Are you a doctor? → d. No, I’m not. I’m a nurse.

2. Is she from China? → b. No, she isn’t.

3. Is Ben from London? → a. Yes, he is.

4. Are Mario and Teresa students? → c. Yes, they are.

# data[].attributes.body
1. Are you doctor?No,I'm not.I'm a nurse

2. Is she from China? No, she isn't

3. Is Ben from London?Yes, he is

4. Are Mario and Teresa students ? Yes,they are

# data[].attributes.body
1 Are you a doctor? No, I'm not. I'm a nurse.

2 Is she from China? No, she isn't.

3 Is Ben from Londom? Yes, he is.

4 Are Mario and Teresa students? Yes, they are.

# data[].attributes.body
1. are you a doctor ?

No,I´m not. I'm a nurse

2. is she from China?

no, She isn't

3. is ben from London?

yes, He is

4. Are Mario and Teresa students?

yes, They are

# data[].attributes.body
1. Are you a doctor? .... No, I'm not. I'm a nurse.

2. Is she from china? ... No, she isn't.

3. Is Ben from London? .... Yes, he is.

4. Are Mario and Teresa students? ... Yes, they are.

# data[].attributes.body
1. Are you a doctor? _ d. No, I´m not. I´m a nurse.

2. Is she from China? _ b. No. she isn´t.

3. Is Ben from London? _ a. Yes, he is.

4. Are Mario and Teresa students? _ c. Yes, they are.

# data[].attributes.body
1. Are you a doctor?

No, I'm not. I'm a nurse

2. Is she from China?

No, she isn't

3. Is Ben from London?

Yes, he is

4. Are Mario and Teresa students?

Yes, they are

# data[].attributes.body
1. Are you doctor? ---- No, I'm not. I'm a nurse

2. Is she from China? ------ No,she isn't.

3. Is Ben from London?----- Yes, he is.

4. Are Mario and Teresa?----- Yes, they are.

# data[].attributes.body
1. Are you a doctor?

No, I’m not. I’m a nurse

2. Is she from China?

No, she isn’t

3. Is Ben from London?

Yes, he is

4. Are Mario and Teresa students?

Yes, they are