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Essentials Certificate in Artificial Intelligence
#Question
How is 'model bias' particularly problematic in machine learning applications?
A.
Prevents overfitting
B.
Reduces complexity
C.
Leads to unfair outcomes
D.
Enhances interpretability
Correct Answer:
C
Model bias can lead to unfair outcomes and discrimination, affecting how AI systems perform across different demographics.
#Question
What is the main goal of anomaly detection systems in cybersecurity?
A.
Threat prevention
B.
Monitoring network performance
C.
Recognizing normal behavior
D.
Identifying system vulnerabilities
Correct Answer:
A
Anomaly detection systems in cybersecurity are used to identify unusual activity that may indicate a security threat.
#Question
In AI, what does 'curriculum learning' refer to?
A.
Learning from top-down approaches
B.
Learning with predefined goals
C.
Learning at any pace
D.
Learning modules sequentially
Correct Answer:
D
Curriculum learning is an approach where models learn from increasingly complex examples, similar to a structured educational curriculum.
#Question
Which algorithm is specifically designed to classify data into two separate categories?
A.
Random forest
B.
K-means clustering
C.
Decision trees
D.
Support vector machine
Correct Answer:
D
The support vector machine (SVM) is primarily used for binary classification tasks.
#Question
What do we call the challenge of dealing with data that is missing or incomplete in datasets?
A.
Data sparsity
B.
Data corruption
C.
Data normalization
D.
Data imputation
Correct Answer:
A
Data sparsity refers to the challenge of missing information within datasets.
#Question
In the context of Natural Language Processing (NLP), what does 'named entity recognition' entail?
A.
Recognizing important entities
B.
Identifying phrases
C.
Translating text
D.
Categorizing words
Correct Answer:
A
Named entity recognition in NLP identifies and classifies key entities within a text, such as names and organizations.
#Question
What is the primary focus of reinforcement learning?
A.
Learning from historical data
B.
Categorizing data
C.
Maximizing cumulative reward
D.
Enhancing data quality
Correct Answer:
C
Reinforcement learning focuses on maximizing cumulative reward based on interaction with the environment.
Essentials Certificate in Artificial Intelligence
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