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Exam contains 60 questions

Page 7 of 10

Question 37 🔥

Which two statements accurately describe file size management for IBM Watson Discovery service? (Choose two.)

Which database solution meets these requirements?

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

Highly voted

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

Highly voted

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

Highly voted

D. The maximum file size for a sample document is 5MB.

Highly voted

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

Highly voted

Discussion of the question

Question 38 🔥

Why would the data crawler be used with the IBM Watson Discovery service?

Which database solution meets these requirements?

A. The data crawler automates the upload of content to the Discovery service.

Highly voted

B. Use the data crawler when structured data must be mined from other services.

Highly voted

C. When working with the tooling, the data crawler can be used to upload sample documents.

Highly voted

D. When there is a business need to dynamically crawl websites, Twitter and constantly changing content.

Highly voted

Discussion of the question

Question 39 🔥

In the context of machine learning, what is overfitting?

Which database solution meets these requirements?

A. Overfitting is the creation of a statistical model that describes noise instead of the underlying relationship.

Highly voted

B. Overfitting is the creation of a model that is too general, so it performs well on just about every test that is run against it.

Highly voted

C. Overfitting is the creation of an imprecise model which is the result of only using training data without using any validation data.

Highly voted

D. Overfitting is an artificially accurate model and can occur when the test data is too similar to the training data.

Highly voted

Discussion of the question

Question 40 🔥

What is important when creating an IBM Watson Visual Recognition classifier?

Which database solution meets these requirements?

A. Ensure use of only PNG formatted images.

Highly voted

B. Collect training images for the same classification that are very similar to each other.

Highly voted

C. Provide an approximately equal number of both positive and negative examples of pictures to train with.

Highly voted

D. Make sure training images are high resolution foe better accuracy.

Highly voted

Discussion of the question

Question 41 🔥

What is a method for measuring the accuracy of an unsupervised machine learning system?

Which database solution meets these requirements?

A. changing training set size and averaging results

Highly voted

B. cross-validation tests

Highly voted

C. density estimation

Highly voted

D. using a confusion matrix

Highly voted

Discussion of the question

Question 42 🔥

What are two available IBM Watson REST APIs grouped as Data Insights services? (Choose two.)

Which database solution meets these requirements?

A. Tradeoff Analytics

Highly voted

B. Big Data Analytics

Highly voted

C. Concept Extraction

Highly voted

D. Retrieve and Rank

Highly voted

E. Watson Discovery News

Highly voted

Discussion of the question

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Exam contains 60 questions

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