熱門的AIP-210考試重點,免費下載AIP-210考試資料得到妳想要的CertNexus證書
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CertNexus AIP-210 考試大綱:
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可靠的AIP-210考試重點擁有模擬真實考試環境與場境的軟件VCE版本&可依賴的AIP-210考題資訊
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最新的 Certified AI Practitioner AIP-210 免費考試真題 (Q79-Q84):
問題 #79
Which database is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems?
- A. Incident
- B. Configuration Management
- C. Asset
- D. Code Repository
答案:A
解題說明:
An incident database is a database that is designed to better anticipate and avoid risks of AI systems causing safety, fairness, or other ethical problems. An incident database collects and stores information about incidents or events where AI systems have caused or contributed to negative outcomes or harms, such as accidents, errors, biases, discriminations, or violations. An incident database can help identify patterns, trends, causes, impacts, and solutions for AI-related incidents, as well as provide guidance and best practices for preventing or mitigating future incidents.
問題 #80
Which of the following can take a question in natural language and return a precise answer to the question?
- A. IBM Watson
- B. Pandas
- C. Databricks
- D. Spark ML
答案:A
解題說明:
Explanation
IBM Watson is an AI technology that can take a question in natural language and return a precise answer to the question. IBM Watson is a cognitive computing system that can understand natural language, generate hypotheses, and provide evidence-based answers. IBM Watson can be applied to various domains and industries, such as healthcare, education, finance, or law.
問題 #81
Which of the following can take a question in natural language and return a precise answer to the question?
- A. IBM Watson
- B. Pandas
- C. Databricks
- D. Spark ML
答案:A
解題說明:
IBM Watson is an AI technology that can take a question in natural language and return a precise answer to the question. IBM Watson is a cognitive computing system that can understand natural language, generate hypotheses, and provide evidence-based answers. IBM Watson can be applied to various domains and industries, such as healthcare, education, finance, or law.
問題 #82
Which of the following are true about the transform-design pattern for a machine learning pipeline? (Select three.) It aims to separate inputs from features.
- A. It encapsulates the processing steps of ML pipelines.
- B. It transforms the output data after production.
- C. It seeks to isolate individual steps of ML pipelines.
- D. It ensures reproducibility.
- E. It represents steps in the pipeline with a directed acyclic graph (DAG).
答案:A,C,D
解題說明:
The transform-design pattern for ML pipelines aims to separate inputs from features, encapsulate the processing steps of ML pipelines, and represent steps in the pipeline with a DAG. These goals help to make the pipeline modular, reusable, and easy to understand. The transform-design pattern does not seek to isolate individual steps of ML pipelines, as this would create entanglement and dependency issues. It also does not transform the output data after production, as this would violate the principle of separation of concerns.
問題 #83
Which of the following describes a typical use case of video tracking?
- A. Medical diagnosis
- B. Traffic monitoring
- C. Video composition
- D. Augmented dreaming
答案:B
解題說明:
Explanation
Video tracking is a technique that involves detecting and following moving objects in a video sequence. Video tracking can be used for various applications, such as surveillance, security, sports analysis, and human-computer interaction. One typical use case of video tracking is traffic monitoring, where video tracking can help measure traffic flow, detect congestion, identify violations, and optimize traffic signals.
問題 #84
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