최신 IBM Certification C1000-154 무료샘플문제:
1. Which method is NOT traditionally used for collecting data?
A) Using Python APIs for external data
B) Scraping data from a webpage
C) Predicting future trends with machine learning models
D) Using SQL to fetch data from a data warehouse
2. In classification models, which of the following metrics is NOT directly derived from the confusion matrix?
A) Mean Absolute Error (MAE)
B) Recall
C) Precision
D) F1-score
3. What is the primary purpose of hyperparameter tuning in machine learning models?
A) To increase the number of features in the dataset automatically
B) To reduce the training time of the model to an absolute minimum
C) To adjust the model's complexity to improve its performance on unseen data
D) To ensure the model uses all available computational resources
4. The ROC curve is a graphical representation that shows the performance of a classification model at all classification thresholds.
What does ROC stand for?
A) Recall Operation Curve
B) Regression Operation Characteristic
C) Receiver Operating Characteristic
D) Random Output Curve
5. In the deployment phase, why is it important to know the different data sources available in Cloud Pak for Data?
A) To limit the deployment to only use local file storage
B) To ensure that all data sources are manually processed
C) Because only one type of data source can be used in any deployment
D) To effectively integrate and manage data from various sources for analysis and model training
질문과 대답:
| 질문 # 1 정답: C | 질문 # 2 정답: A | 질문 # 3 정답: C | 질문 # 4 정답: C | 질문 # 5 정답: D |
869 개 고객 리뷰
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