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C1000-059 Online Practice Questions and Answers

Questions 4

DRAG DROP

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

Select and Place:

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Questions 5

With the help of AI algorithms, which type of analytics can help organizations make decisions based on facts and probability-weighted projections?

A. prescriptive analytics

B. cognitive analytics

C. predictive analytics

D. descriptive analytics

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Questions 6

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

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Questions 7

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

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Questions 8

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.

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Questions 9

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

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Questions 10

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.

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Questions 11

A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.

From the graph, what modification would be appropriate to improve the performance of the model?

A. increase the depth of the neural network

B. insert a dropout layer in the neural network architecture

C. increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset

D. restart the training with a higher learning rate

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Questions 12

In machine vision, the algorithm for detecting objects or features in an image based on a target pattern is known as?

A. OCR

B. Hough transformation

C. Fourier transform

D. normalized correlation

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Questions 13

What are the various components that make up a time series data?

A. trend, noise, covariance

B. trend, noise, kurtosis

C. trend, seasonality, causation

D. trend, seasonality, noise

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Questions 14

Select the three computing languages that IBM Cloud Object Storage SDK supports. (Choose three.)

A. Node.js

B. Java

C. PHP

D. Swift

E. Python

F. C/C++

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Questions 15

The least squares optimization technique (The Method of Least Squares) is used in which algorithm?

A. Support Vector Machines

B. Naive Bayes classification

C. Logistic regression

D. Linear regression

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Questions 16

What is meant by the curse of dimensionality?

A. The number of available algorithms for a given task is high.

B. The number of available data sources for a given task is high.

C. The data sparsity becomes more severe as the number of features is increased.

D. The data sparsity becomes more severe as the number of samples is increased.

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Questions 17

What is the name of the design thinking work product that contains a summary description of a particular person or role?

A. persona

B. snapshot

C. My Sticky Note

D. user summary report

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Questions 18

Which two properties hold true for standardized variables (also known as z-score normalization)? (Choose two.)

A. standard deviation = 0.5

B. expected value = 0

C. expected value = 0.5

D. expected value = 1

E. standard deviation = 1

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Exam Code: C1000-059
Exam Name: IBM AI Enterprise Workflow V1 Data Science Specialist
Last Update: Mar 15, 2025
Questions: 62 Q&As

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