CIW Artificial Intelligence Associate Practice Questions
Prepare for 1D0-181 with more than an answer.
- Exam fee
- $175 USD
- Level
- Associate
- Valid for
- 3 years
Domains covered on the exam 6
- Ideas of AI36.5%
- Data Management14.1%
- Algorithms15.3%
- Legal, Ethical and Privacy Issues7.1%
- Machine Learning17.6%
- Statistics9.4%
- 1
A media company is concerned about the spread of 'deep fakes' affecting their reputation. They want to implement a detection system. Which underlying technology is primarily responsible for the creation of high-quality deep fakes?
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Correct answer: B
GANs consist of two neural networks (generator and discriminator) competing against each other, which allows for the creation of highly realistic synthetic media, known as deep fakes.
- 2
An industrial factory wants to deploy a computer vision system to detect defects on a high-speed assembly line. The system requires ultra-low latency response times (under 10ms) to reject parts. Which deployment model is most appropriate for this requirement?
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Correct answer: D
Edge deployment involves running the AI model directly on local hardware (e.g., cameras or gateways) at the source of data. This eliminates network latency associated with cloud transmission, making it essential for high-speed, real-time applications.
- 3
A financial institution is developing a fraud detection system. The Chief Data Scientist explains to the stakeholders that the system will utilize a subset of Artificial Intelligence that involves algorithms capable of learning from historical transaction data to identify patterns without being explicitly programmed for every specific rule. Which term best describes this specific technology?
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Correct answer: D
Machine Learning (ML) is the specific subset of AI defined by the ability of algorithms to learn patterns from data without explicit programming for every rule. While Deep Learning is a subset of ML, the description provided (learning from historical data without explicit programming) is the broad definition of Machine Learning.
- 4
A developer is designing an intelligent agent for an autonomous vacuum cleaner. The agent must perceive its location and the cleanliness of the floor (Dirty/Clean) and decide whether to Suck, Move Left, or Move Right. The agent does not need to maintain an internal state history or consider future consequences beyond the immediate action. Which type of agent architecture is most appropriate for this specific, limited scope?
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Correct answer: A
A Simple Reflex Agent selects actions based solely on the current percept (e.g., if Dirty then Suck), ignoring the rest of the percept history. This fits the requirement of not maintaining internal state or considering future consequences.
