C1000-012 Online Practice Questions and Answers

What Watson solution can answer common support questions typically handled by a live agent?

A. Tone Analyzer

B. Watson Assistant

C. Natural Language Understanding

D. Language Translator

Which type of learning is K-means clustering?

A. automatic learning

B. supervised learning

C. unsupervised learning

D. reinforcement learning

What combination of IBM Watson services would best implement the Agent Assist pattern?

A. Speech to Text and Personality Insights

B. Watson Assistant and Discovery

C. Watson Assistant and Visual Recognition

D. Natural Language Classifier and Visual Recognition

Which statement best describes the supervised learning process in building a question answering system?

A. The system ingests the corpus and is able to answer questions after ingestion

B. A human supervisor monitors the progress of the learning, evaluates the answers, and incrementally improves the results

C. The system learns by example from a set of questions and their respective answers

D. The system ingests a corpus and asks a human supervisor for clarification in natural language when it encounters a subject it does not understand

Which IBM Watson image service allows training based on custom images?

A. Visual Recognition

B. Face Recognition

C. Similarity Recognition

D. Image Recognition

A developer is using machine learning techniques to train a system which will identify fraudulent insurance claims. Which would be best suited for training data?

A. Samples of known fraudulent and legitimate claims

B. A set of known legitimate claims mixed in with random claim samples

C. A set of known fraudulent claims mixed in with random claim samples

D. A new set of unknown claims

Someone is training a machine learning system to perform classification of unstructured content. What is the purpose of a validation data set on the training process?

A. Validation data sets are used to fine tune the accuracy of the training model

B. Validation data sets are only used if test data is unavailable

C. Validation data sets are exactly the same as test data sets and are used to test the limits of the machine learning model

D. Validation data sets would never be used in a classification system as only training and test data are required

What is the definition of false positive in the context of measuring accuracy of a machine learning system?

A. The system returns a low confidence score for a correct answer.

B. The system returns a high confidence score for an incorrect answer.

C. The system returns only low confidence scores for all answers.

D. The system returns only high confidence for all answers, both correct and incorrect.

Which statement best describes the unsupervised learning process when performing clustering?

A. Data points are compared iteratively and the distances between each other are used to determine whether they belong in the same cluster or not.

B. A neural network is deployed in unsupervised mode to determine to which cluster a data point belongs.

C. A human supervisor decides which data points belong to which clusters.

D. Examples of data points and their associated cluster are fed into the system allowing it to learn and generalize for the rest of the data set.

Which IBM Watson service is trainable?

A. Discovery News

B. Visual Recognition

C. Tone Analyzer

D. Personality Insights