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IBM C1000-059 問題練習

IBM AI Enterprise Workflow V1 Data Science Specialist 試験

最新更新時間: 2024/03/19,合計62問。

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Question No : 1
What is used to scale large positive values during data cleaning?

正解:

Question No : 2
What is the first step in creating a custom model in Watson Visual Recognition service?

正解:

Question No : 3
With only limited labeled data available how might a neural network use case be realized?

正解:

Question No : 4
Which test is applied to determine the relationship between two categorical variables?

正解:
Explanation:
Reference: https://www.pluralsight.com/guides/testing-for-relationships-between-categorical-variables-using-the-chi-square-test

Question No : 5
What statement is true about UTF-8?

正解:
Explanation:
Reference: https://www.w3.org/International/questions/qa-what-is-encoding

Question No : 6
Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?

正解:
Explanation:
Reference: https://www.researchgate.net/publication/318093829_Developing_an_innovative_entity_extraction_method_for_unstructured_data

Question No : 7
Which two statements are correct about deploying machine learning models? (Choose two.)

正解:

Question No : 8
Which is a technique that automates the handling of categorical variables?

正解:
Explanation:
Reference: https://hub.packtpub.com/how-to-handle-categorical-data-for-machine-learning-algorithms/

Question No : 9
Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

正解:

Question No : 10
Determine the number of bigrams and trigrams in the sentence.
"Data is the new oil".

正解:

Question No : 11
After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.
What is the most likely reason for this problem?

正解:
Explanation:
Reference: https://github.com/IBM/watson-stock-market-predictor/blob/master/README.md

Question No : 12
The formula for recall is given by (True Positives) / (True Positives + False Negatives).



What is the recall for this example?

正解:
Explanation:
Reference: https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/

Question No : 13
A neural network is composed of a first affine transformation (affine1) followed by a ReLU non-linearity, followed by a second affine transformation (affine2).
Which two explicit functions are implemented by this neural network? (Choose two.)

正解:

Question No : 14
Given the following matrix multiplication:



What is the value of P?

正解:
Explanation:
Reference: https://www.mathsisfun.com/algebra/matrix-multiplying.html

Question No : 15
When should median value be used instead of mean value for imputing missing data?

正解:

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