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WorksheetsIT Specialist AI Exam 1.4-1.6
Total questions: 10
Worksheet time: 5mins
Which of the following best describes the purpose of internal access levels in an AI system?
To allow unrestricted model training
To maximize the amount of data users can access
To ensure only authorized users can access certain data or system functions
To improve system performance
What is an example of an adversarial attack on an AI model?
Encrypting stored user data
Adding slightly altered inputs to trick a model into making incorrect predictions
Training a model with extra data
Resetting the model version
When evaluating appropriate use of AI, which question is most important?
How many developers built the model
How much storage the model requires
Whether the model trains quickly
Whether the model might harm or mispredict for specific user groups
Setting guidelines for data gathering primarily ensures that:
Data can be shared freely with all stakeholders
Data is collected ethically, with transparency and user protection
The training pipeline runs faster
The model uses as much personal data as possible
Out-of-context AI results are dangerous because:
They decrease the model’s size
They may be interpreted incorrectly and lead to harmful decisions
They make the model train too slowly
They improve model accuracy unintentionally
Why is transparency about the purpose of data collection important?
It helps users understand how and why their data is used
It prevents the need for validation activities
It reduces system costs
It allows unlimited data collection
Determining who should see AI results relates to which concept?
Real-time learning
Open-source licensing
Access control and stakeholder permissions
Data compression
Industry-specific legal requirements must be reviewed because:
Legal rules vary across sectors, especially in areas like health, finance, and education
It reduces model training time
Laws rarely apply to AI activities
Every industry has identical data regulations
What is one reason why AI outputs must include confidence levels or uncertainty explanations?
They anonymize user data collected by the system
They help users gauge reliability and make informed decisions about using results
They hide model errors from end users
They speed up model training and reduce computation costs
Which of the following is an example of how an AI system might unintentionally harm a specific user group?
A spellchecker suggests synonyms for commonly used words
A facial recognition system has higher error rates for individuals with darker skin tones, leading to misidentification
A calendar app adds customizable color themes
A weather app displays hourly forecasts in a new layout
