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[General] AIP-210 Examinations Actual Questions | Study Materials AIP-210 Review

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【General】 AIP-210 Examinations Actual Questions | Study Materials AIP-210 Review

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CertNexus Certified Artificial Intelligence Practitioner (CAIP) Sample Questions (Q67-Q72):NEW QUESTION # 67
Which of the following is the primary purpose of hyperparameter optimization?
  • A. Makes models easier to explain to business stakeholders
  • B. Increases recall over precision
  • C. Improves model interpretability
  • D. Controls the learning process of a given algorithm
Answer: D
Explanation:
Explanation
Hyperparameter optimization is the process of finding the optimal values for hyperparameters that control the learning process of a given algorithm. Hyperparameters are parameters that are not learned by the algorithm but are set by the user before training. Hyperparameters can affect the performance and behavior of the algorithm, such as its speed, accuracy, complexity, or generalization. Hyperparameter optimization can help improve the efficiency and effectiveness of the algorithm by tuning its hyperparameters to achieve the best results.

NEW QUESTION # 68
Which of the following unsupervised learning models can a bank use for fraud detection?
  • A. Anomaly detection
  • B. DB5CAN
  • C. Hierarchical clustering
  • D. k-means
Answer: A
Explanation:
Anomaly detection is an unsupervised learning technique that identifies outliers or abnormal patterns in data, which can be useful for fraud detection. Anomaly detection algorithms can learn the normal behavior of transactions and flag the ones that deviate significantly from the norm, indicating possible fraud.

NEW QUESTION # 69
A data scientist is tasked to extract business intelligence from primary data captured from the public. Which of the following is the most important aspect that the scientist cannot forget to include?
  • A. Data privacy
  • B. Cybersecurity
  • C. Data security
  • D. Cyberprotection
Answer: A
Explanation:
Explanation
Data privacy is the right of individuals to control how their personal data is collected, used, shared, and protected. It also involves complying with relevant laws and regulations that govern the handling of personal data. Data privacy is especially important when extracting business intelligence from primary data captured from the public, as it may contain sensitive or confidential information that could harm the individuals if misused or breached .

NEW QUESTION # 70
An AI practitioner incorporates risk considerations into a deployment plan and decides to log and store historical predictions for potential, future access requests.
Which ethical principle is this an example of?
  • A. Safety
  • B. Privacy
  • C. Transparency
  • D. Fairness
Answer: C
Explanation:
Transparency is an ethical principle that describes the degree to which an AI system can provide clear and understandable information about its inputs, outputs, processes, and decisions. Transparency can help increase trust and confidence among users and stakeholders, as well as enable accountability and responsibility for the system's actions and outcomes. Logging and storing historical predictions for potential, future access requests is an example of transparency, as it can help provide evidence and explanation for the system's recommendations, as well as facilitate auditing and feedback.

NEW QUESTION # 71
You and your team need to process large datasets of images as fast as possible for a machine learning task.
The project will also use a modular framework with extensible code and an active developer community.
Which of the following would BEST meet your needs?
  • A. Microsoft Cognitive Services
  • B. Keras
  • C. Caffe
  • D. TensorBoard
Answer: C
Explanation:
Caffe is a deep learning framework that is designed for speed and modularity. It can process large datasets of images efficiently and supports various types of neural networks. It also has a large and active developer community that contributes to its code base and documentation. Caffe is suitable for image processing tasks such as classification, segmentation, detection, and recognition

NEW QUESTION # 72
......
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