Cisco CCNA 200-301 AI and Machine Learning Practice Test

Topic 42 focuses on AI and Machine Learning in Network Operations for the Cisco Certified Network Associate (CCNA) certification and the 200-301 exam, using Cisco networking and Cisco IOS concepts where relevant. For broader exam preparation, review the Cisco CCNA 200-301 Exam Dumps page. Each question includes a concise explanation of the correct answer and the technical reason the other choices are incorrect.

Question 1

Which broad field in which computer systems perform tasks normally require aspects of human intelligence?

1. Capacity forecasting
2. Anomaly detection
3. Artificial intelligence
4. Machine learning

Correct Answer: C

 

Correct Answer

Answer C is correct because the selected answer describes a broad field in which computer systems perform tasks that normally require aspects of human intelligence.

Incorrect Answers

Answer A is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

Answer B is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Answer D is incorrect because the “Machine learning” option describes a different concept: a subset of AI in which models learn patterns from data to make classifications, predictions, or decisions.

 

Question 2

What is a subset of AI in which models learn patterns from data to make classifications, predictions, or decisions?

1. Generative AI
2. Supervised learning
3. Root-cause assistance
4. Machine learning

Correct Answer: D

 

Correct Answer

Answer D is correct because the selected answer describes a subset of AI in which models learn patterns from data to make classifications, predictions, or decisions.

Incorrect Answers

Answer A is incorrect because the “Generative AI” option describes a different concept: AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Answer B is incorrect because the “Supervised learning” option describes a different concept: a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

Answer C is incorrect because the “Root-cause assistance” option describes a different concept: Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

 

Question 3

Which type of AI creates new text, summaries, or suggested configurations from learned patterns?

1. Anomaly detection
2. Capacity forecasting
3. Generative AI
4. Predictive AI

Correct Answer: C

 

Correct Answer

Answer C is correct because generative AI produces new content from learned patterns.

Incorrect Answers

Answer A is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Answer B is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

Answer D is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

 

Question 4

Which type of AI estimates future network conditions from historical and current data?

1. Anomaly detection
2. Root-cause assistance
3. Model hallucination
4. Predictive AI

Correct Answer: D

 

Correct Answer

Answer D is correct because predictive AI uses historical and current data to estimate future outcomes.

Incorrect Answers

Answer A is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Answer B is incorrect because the “Root-cause assistance” option describes a different concept: Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Answer C is incorrect because the “Model hallucination” option describes a different concept: a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

 

Question 5

Which use of analytics or ML to identify behavior significantly differs from a learned or expected baseline?

1. Anomaly detection
2. Capacity forecasting
3. Artificial intelligence
4. AIOps

Correct Answer: A

 

Correct Answer

Answer A is correct because the selected answer describes the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Incorrect Answers

Answer B is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

Answer C is incorrect because the “Artificial intelligence” option describes a different concept: a broad field in which computer systems perform tasks that normally require aspects of human intelligence.

Answer D is incorrect because the “AIOps” option describes a different concept: the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

 

Question 6

Which term describes using trends and predictive analysis to estimate future network resource requirements?

1. Predictive AI
2. Generative AI
3. Artificial intelligence
4. Capacity forecasting

Correct Answer: D

 

Correct Answer

Answer D is correct because the selected answer describes using trends and predictive analysis to estimate future network resource requirements.

Incorrect Answers

Answer A is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

Answer B is incorrect because the “Generative AI” option describes a different concept: AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Answer C is incorrect because the “Artificial intelligence” option describes a different concept: a broad field in which computer systems perform tasks that normally require aspects of human intelligence.

 

Question 7

Which term describes using analytics or AI to correlate symptoms and suggest likely causes of a network problem?

1. Generative AI
2. Anomaly detection
3. Root-cause assistance
4. Supervised learning

Correct Answer: C

 

Correct Answer

Answer C is correct because the selected answer describes using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Incorrect Answers

Answer A is incorrect because the “Generative AI” option describes a different concept: AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Answer B is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Answer D is incorrect because the “Supervised learning” option describes a different concept: a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

 

Question 8

What is the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance?

1. Artificial intelligence
2. AIOps
3. Root-cause assistance
4. Supervised learning

Correct Answer: B

 

Correct Answer

Answer B is correct because the selected answer describes the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Incorrect Answers

Answer A is incorrect because the “Artificial intelligence” option describes a different concept: a broad field in which computer systems perform tasks that normally require aspects of human intelligence.

Answer C is incorrect because the “Root-cause assistance” option describes a different concept: Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Answer D is incorrect because the “Supervised learning” option describes a different concept: a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

 

Question 9

Which machine-learning approach trained with labeled examples associate inputs with expected outputs?

1. Supervised learning
2. Generative AI
3. Root-cause assistance
4. Capacity forecasting

Correct Answer: A

 

Correct Answer

Answer A is correct because the selected answer describes a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

Incorrect Answers

Answer B is incorrect because the “Generative AI” option describes a different concept: AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Answer C is incorrect because the “Root-cause assistance” option describes a different concept: Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Answer D is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

 

Question 10

What is a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable?

1. Model hallucination
2. Capacity forecasting
3. AIOps
4. Anomaly detection

Correct Answer: A

 

Correct Answer

Answer A is correct because the selected answer describes a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

Incorrect Answers

Answer B is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

Answer C is incorrect because the “AIOps” option describes a different concept: the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Answer D is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

 

Question 11

For Artificial intelligence, which statement is accurate?

1. A broad field in which computer systems perform tasks that normally require aspects of human intelligence.
2. The application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.
3. The use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.
4. AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Correct Answer: A

 

Correct Answer

Answer A is correct because the choice accurately describes Artificial intelligence: A broad field in which computer systems perform tasks that normally require aspects of human intelligence.

Incorrect Answers

Answer B is incorrect because the “AIOps” option describes a different concept: the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Answer C is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Answer D is incorrect because the “Generative AI” option describes a different concept: AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

 

Question 12

For Machine learning, which statement is accurate?

1. AI used to estimate future outcomes or likely conditions from historical and current data.
2. A subset of AI in which models learn patterns from data to make classifications, predictions, or decisions.
3. The application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.
4. A broad field in which computer systems perform tasks that normally require aspects of human intelligence.

Correct Answer: B

 

Correct Answer

Answer B is correct because the selected answer describes a subset of AI in which models learn patterns from data to make classifications, predictions, or decisions.

Incorrect Answers

Answer A is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

Answer C is incorrect because the “AIOps” option describes a different concept: the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Answer D is incorrect because the “Artificial intelligence” option describes a different concept: a broad field in which computer systems perform tasks that normally require aspects of human intelligence.

 

Question 13

For Generative AI, which statement is accurate?

1. Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.
2. AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.
3. The use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.
4. Using trends and predictive analysis to estimate future network resource requirements.

Correct Answer: B

 

Correct Answer

Answer B is correct because AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Incorrect Answers

Answer A is incorrect because the “Root-cause assistance” option describes a different concept: Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Answer C is incorrect because the “Anomaly detection” option describes a different concept: the use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Answer D is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

 

Question 14

For Predictive AI, which statement is accurate?

1. A machine-learning approach trained with labeled examples that associate inputs with expected outputs.
2. The application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.
3. A generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.
4. AI used to estimate future outcomes or likely conditions from historical and current data.

Correct Answer: D

 

Correct Answer

Answer D is correct because it accurately defines Predictive AI. The matching definition is: AI used to estimate future outcomes or likely conditions from historical and current data.

Incorrect Answers

Answer A is incorrect because the “Supervised learning” option describes a different concept: a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

Answer B is incorrect because the “AIOps” option describes a different concept: the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Answer C is incorrect because the “Model hallucination” option describes a different concept: a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

 

Question 15

For Anomaly detection, which statement is accurate?

1. AI used to estimate future outcomes or likely conditions from historical and current data.
2. The use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.
3. Using trends and predictive analysis to estimate future network resource requirements.
4. A subset of AI in which models learn patterns from data to make classifications, predictions, or decisions.

Correct Answer: B

 

Correct Answer

Answer B is correct because the choice accurately describes Anomaly detection: The use of analytics or ML to identify behavior that significantly differs from a learned or expected baseline.

Incorrect Answers

Answer A is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

Answer C is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

Answer D is incorrect because the “Machine learning” option describes a different concept: a subset of AI in which models learn patterns from data to make classifications, predictions, or decisions.

 

Question 16

For Capacity forecasting, which statement is accurate?

1. A generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.
2. Using trends and predictive analysis to estimate future network resource requirements.
3. AI used to estimate future outcomes or likely conditions from historical and current data.
4. A machine-learning approach trained with labeled examples that associate inputs with expected outputs.

Correct Answer: B

 

Correct Answer

Answer B is correct because the selected answer describes using trends and predictive analysis to estimate future network resource requirements.

Incorrect Answers

Answer A is incorrect because the “Model hallucination” option describes a different concept: a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

Answer C is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

Answer D is incorrect because the “Supervised learning” option describes a different concept: a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

 

Question 17

For Root-cause assistance, which statement is accurate?

1. Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.
2. AI used to estimate future outcomes or likely conditions from historical and current data.
3. A generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.
4. The application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Correct Answer: A

 

Correct Answer

Answer A is correct because the selected answer describes using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Incorrect Answers

Answer B is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

Answer C is incorrect because the “Model hallucination” option describes a different concept: a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

Answer D is incorrect because the “AIOps” option describes a different concept: the application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

 

Question 18

For AIOps, which statement is accurate?

1. AI used to estimate future outcomes or likely conditions from historical and current data.
2. AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.
3. A generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.
4. The application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Correct Answer: D

 

Correct Answer

Answer D is correct because it accurately defines AIOps. The matching definition is: The application of AI and machine learning to IT operations for event correlation, anomaly detection, and operational assistance.

Incorrect Answers

Answer A is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

Answer B is incorrect because the “Generative AI” option describes a different concept: AI that creates new content such as text, summaries, configurations, or suggested remediation based on learned patterns.

Answer C is incorrect because the “Model hallucination” option describes a different concept: a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

 

Question 19

For Supervised learning, which statement is accurate?

1. A generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.
2. Using trends and predictive analysis to estimate future network resource requirements.
3. A machine-learning approach trained with labeled examples that associate inputs with expected outputs.
4. AI used to estimate future outcomes or likely conditions from historical and current data.

Correct Answer: C

 

Correct Answer

Answer C is correct because the choice accurately describes Supervised learning: A machine-learning approach trained with labeled examples that associate inputs with expected outputs.

Incorrect Answers

Answer A is incorrect because the “Model hallucination” option describes a different concept: a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

Answer B is incorrect because the “Capacity forecasting” option describes a different concept: Using trends and predictive analysis to estimate future network resource requirements.

Answer D is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.

 

Question 20

For Model hallucination, which statement is accurate?

1. A machine-learning approach trained with labeled examples that associate inputs with expected outputs.
2. Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.
3. A generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.
4. AI used to estimate future outcomes or likely conditions from historical and current data.

Correct Answer: C

 

Correct Answer

Answer C is correct because the selected answer describes a generative-AI failure mode in which the model presents incorrect or unsupported information as though it were reliable.

Incorrect Answers

Answer A is incorrect because the “Supervised learning” option describes a different concept: a machine-learning approach trained with labeled examples that associate inputs with expected outputs.

Answer B is incorrect because the “Root-cause assistance” option describes a different concept: Using analytics or AI to correlate symptoms and suggest likely causes of a network problem.

Answer D is incorrect because the “Predictive AI” option describes a different concept: AI used to estimate future outcomes or likely conditions from historical and current data.