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Quiz sobre o Futuro do Trabalho

Authored by Woolhemberg Ferreira de Melo

Mathematics

1st Grade

Quiz sobre o Futuro do Trabalho
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following technologies is considered one of the main drivers of automation in the future of work?

Augmented Reality (AR)

Virtual Reality (VR)

Artificial Intelligence (AI)

Internet of Things (IoT)

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which socio-emotional skill tends to gain even more importance in a job market with increasing automation?

Fast typing ability

Knowledge of specific software

Skill in accounting analysis

Creativity and complex problem solving

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following professional areas is projected to have high demand in the next 10 years, driven by growing environmental concerns?

Traditional banking operations

Non-sustainable large-scale manufacturing

Renewable energy and sustainability

Postal services

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which labor market indicator represents the percentage of the economically active population that is looking for a job?

Employment Level

Participation Rate

Unemployment Rate

Average Income

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When analyzing a graph of the unemployment rate evolution over time, an upward line generally indicates:

A weakening of the labor market.

An increase in the economically active population.

A greater generation of formal jobs.

A decrease in informality.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main objective of resume screening performed by algorithms in the selection of professionals?

Conduct initial interviews with candidates.

Evaluate the cultural fit of candidates.

Apply technical skills tests.

Identify candidates who meet the job requirements.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following factors represents a potential risk in using algorithms for professional selection?

Increased speed of the recruitment process.

Greater focus on data and evidence.

Potential to identify passive candidates.

Perpetuation of existing biases in training data.

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