IBM Watson Application Developer V3.1 - C1000-012 Exam Practice Test

A. Sample documents must be deleted before uploading documents to a collection.

B. Sample documents must be uploaded to a separate collection other than actual content.

C. There is a limit of no more than 5 documents sample documents.

D. The maximum file size for a sample document is 1MB.

E. The maximum file size for documents in a collection is 50MB.

A. Visual Recognition

B. Personality Insights

C. Watson Studio

D. Speech to Text

E. Watson Assistant

A. synthesis

B. voices

C. accent

D. intonation

E. vocalization

A. from the Service Credentials panel of the IBM Cloud service

B. configuration file such as "credentials.plist"

C. token generation service

D. HTTP Authorization request header

A. Yes, 5 entities and 5 intents can be assigned to a single dialog node

B. No, the "jump to" can be used in order to branch to other nodes that have different entity and intent types for the conversation flow

C. No, the addition of more dialog nodes can direct the conversation flow to other intents and entities within those additional dialog nodes

D. Yes, any number of intents and entities can be added to a single dialog node

A. graphics

B. x-rays

C. photos

D. drawings

A. sys-condition

B. sys-entity

C. sys-intent

D. sys-number

A. Preparing various file types to be converted to JSON for final indexing

B. The same heading size and font settings can be used across all documents

C. Fields can be moved, merged, copied or removed

D. Curating and sanitizing documents from various file types

A. using a confusion matrix

B. cross-validation tests

C. changing training set size and averaging results

D. precision

A. When the text is very detailed such that identifying a single class may cause inaccuracies.

B. When the text utterances are very similar in nature and we want to mark slight differences using classes.

C. When experts interpret the same text in different ways, multiple classes support those interpretations.

D. When the classifier has been retained and we want to preserve old classes from a previous training set.