1) What is the role of humans in AI?
a. Humans need to be in the loop in semiautomatic AI processes.
b. Humans need to control each and every step in AI processes.
c. Humans only need to interpret the output results of AI processes.
d. Human only need to control the data input in AI processes.
2) What is the role of theory and hypotheses when analyzing Big Data?
a. Theory and hypotheses come as results of Big Data analysis.
b. Theory and hypotheses are needed to evaluate Big Data models and interpret results.
c. Theory and hypotheses are not necessary anymore, the data speaks for itself.
d. It is absolutely essential to formulate a clear and concise hypothesis before entering Big Data analysis.
3) What prerequisites must data fulfill in order to be used for Machine Learning?
a. Data must be pre-processed, harmonized and quality checked.
b. Only aggregate data can be used.
c. None, raw data can be used.
d. Data must be in numeric format.
4) What is currently the main use of AI in tourism?
a. Automate processes in tourism like service or reception.
b. Analyse the value creation of tourism within the total economy.
c. Analyse tourism data for statistical purposes.
d. Discover previously unknown patterns and make fact-based decisions.
5) Which of the following programming tools is usually NOT used for Machine Learning?
a. MATLAB
b. JavaScript
c. Python
d. Microsoft Azure
6) What is the relevance of Big Data for AI-based analyses in Tourism?
a. Big Data can be very useful but only when it is analyzed with domain knowledge of tourism.
b. Big Data is just a hype which has no relevance for tourism.
c. Analyzing Big Data by using AI will provide unexpected results and completely new insights.
d. Big Data is much too complex for AI-based analyses.
7) What is meant by the streetlight effect?
a. The streetlight effect means looking for answers where data is actually better accessible.
b. The streetlight effect comes from a particular algorithm highlighting unexpected results.
c. Streetlights are an underestimated data source.
d. The streetlight effect means that data should be gathered during day and nighttimes.
8) Which type of data is typically NOT part of Machine Learning in tourism?
a. Historical climate data
b. User-generated content
c. Pricing and availability of accomodations
d. Sensor data
9) What is the basic principle of Machine Learning?
a. To develop autonomous robots which are able to interact with humans.
b. To create intelligent machines by optimizing algorithms.
c. To train data models by iterating algorithmic processes.
d. To match data from various sources into one data lake.
10) Which of the following steps do NOT belong to the process of Machine Learning?
a. Model Evaluation and Model Training
b. Feature Engineering
c. Literature Review
d. Data Preprocessing
