最新的IBM C1000-059免費考試真題

問題1

Which algorithm is best suited if a client needs full explainability of the machine learning model?

A. support vector machine (SVM)

B. logistic regression

C. decision tree

D. recurrent neural network

正確答案: C

問題2

A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.

From the graph, what modification would be appropriate to improve the performance of the model?

A. restart the training with a higher learning rate

B. increase the depth of the neural network

C. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset

D. insert a dropout layer in the neural network architecture

正確答案: A

問題3

If the distribution of the height of American men is approximately normal, with a mean of 69 inches and a standard deviation of 2.5 inches, then roughly 68 percent of American men have heights between and .

A. 71.5 inches and 76.5 inches

B. 66.5 inches and 71.5 inches

C. 64 inches and 74 inches

D. 66.5 inches and 69 inches

正確答案: D

問題4

Which fine-tuning technique does not optimize the hyperparameters of a machine learning model?

A. hyperband

B. random search

C. grid search

D. population based training

正確答案: A

問題5

What is the name of the design thinking work product that contains a summary description of a particular person or role?

A. user summary report

B. snapshot

C. persona

D. My Sticky Note

正確答案: C

問題6

What is meant by the curse of dimensionality?

A. The number of available data sources for a given task is high.

B. The number of available algorithms for a given task is high.

C. The data sparsity becomes more severe as the number of features is increased.

D. The data sparsity becomes more severe as the number of samples is increased.

正確答案: A

問題7

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

A. cognitive analytics

B. predictive analytics

C. prescriptive analytics

D. descriptive analytics

正確答案: C

最新的IBM AI Enterprise Workflow V1 Data Science Specialist - C1000-059免費考試真題

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