IBM c1000-059 practice test

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 is a preferred approach for simplifying the data transformation steps in machine learning
model management and maintenance?

• A. Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
• B. Do not apply any data transformation or feature extraction or feature engineering steps.
• C. Leverage only deep learning algorithms.
• D. Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

Which is a technique that automates the handling of categorical variables?

• A. binary encoding
• B. decoding
• C. autoencoding
• D. one-hot encoding

Which two statements are correct about deploying machine learning models? (Choose two.)

• A. It allows integration within business applications.
• B. It makes it possible to create reports for management dynamically using specific parameters from executives.
• C. It is critical for achieving high accuracy in training.
• D. It is a necessary step in training and evaluating the performance of the models.
• E. It is only possible on the cloud because they require a large amount of compute resources.

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

What statement is true about UTF-8?

• A. It is encoding for Latin script.
• B. It is rarely used today.
• C. It is encoding for Unicode characters.
• D. It is equal to ASCII.

Which test is applied to determine the relationship between two categorical variables?

• A. paired t-test
• B. chi squared test
• C. z test
• D. t-test

With only limited labeled data available how might a neural network use case be realized?

• A. by assigning random labels
• B. by increasing the depth of the neural network
• C. by creating random data
• D. by using a customized pre-trained model

What is the first step in creating a custom model in Watson Visual Recognition service?

• A. Test the newly trained model.
• B. Document the errors from the built in models.
• C. Obtain image files containing objects to be classified and organize them into classes.
• D. Use IBM SPSS to create new machine learning classifiers.

What is used to scale large positive values during data cleaning?

• A. division by random numbers
• B. square
• C. logarithm
• D. subtract median