C1000-059 Online Practice Questions and Answers

DRAG DROP

What is the best step by step order for machine learning pipeline?

Select and Place:

Which statement is true in the context of evaluating metrics for machine learning algorithms?

A. A random classifier has AUC (the area under ROC curve) of 0.5

B. Using only one evaluation metric is sufficient

C. The F-score is always equal to precision

D. Recall of 1 (100%) is always a good result

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?

A. CSV files cannot be used as data sources in Watson Studio.

B. The CSV file was converted to a binary blob and must be converted in the notebook code.

C. The CSV file is stored in a Cloud Object Storage.

D. The CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.

Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

A. 3 bigrams, 3 trigrams

B. 4 bigrams, 4 trigrams

C. 3 bigrams, 4 trigrams

D. 4 bigrams, 3 trigrams

Which of the following entity extraction techniques would be best for the extraction of telephone numbers from a text document?

A. complex pattern-based

B. regex

C. statistical

D. dictionary

Which distance is applied for multivariate outlier detection?

A. Minkowski distance

B. Manhattan distance

C. Mahalanobis distance

D. Euclidean distance

Which IBM Watson Machine Learning deployment method offers the ultimate flexibility in deploying a machine learning model?

A. Watson Machine Learning Python client

B. Watson Machine Learning FORTRAN client

C. Watson Studio Project

D. Watson Machine Learning REST API

What are two hyperparameters used when building a k-means model? (Choose two.)

A. kernel

B. learning rate

C. number of iterations

D. number of clusters

E. number of neighbors

What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark? (Choose three.)

A. model building

B. data preprocessing

C. model prediction

D. business understanding

E. use case selection F. data exploration

In a hyperparameter search, whether a single model is trained or a lot of models are trained in parallel is largely determined by?

A. The number of hyperparameters you have to tune.

B. The presence of local minima in your neural network.

C. The amount of computational power you can access.

D. Whether you use batch or mini-batch optimization.