Weekend Sale Special 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: exams65

IBM AI Enterprise Workflow V1 Data Science Specialist Question and Answers

IBM AI Enterprise Workflow V1 Data Science Specialist

Last Update May 9, 2024
Total Questions : 62

We are offering FREE C1000-059 IBM exam questions. All you do is to just go and sign up. Give your details, prepare C1000-059 free exam questions and then go for complete pool of IBM AI Enterprise Workflow V1 Data Science Specialist test questions that will help you more.

C1000-059 pdf

C1000-059 PDF

$35  $99.99
 Add to Cart
C1000-059 Engine

C1000-059 Testing Engine

$42  $119.99
 Add to Cart
C1000-059 PDF + Engine

C1000-059 PDF + Testing Engine

$56  $159.99
 Add to Cart
Questions 1

Which measure can be used to show business stakeholders the likelihood that a machine learning model will generate a true prediction?

Options:

A.  

accuracy

B.  

variance

C.  

mean

D.  

skewness

Discussion 0
Questions 2

Which one is the most appropriate use case for artificial intelligence (AI)?

Options:

A.  

detecting objects in video streams

B.  

compressing large video files

C.  

aggregating sales revenue per state

D.  

creating a pivot table with monthly costs

Discussion 0
Questions 3

What are two hyperparameters used when building a k-means model? (Choose two.)

Options:

A.  

kernel

B.  

learning rate

C.  

number of iterations

D.  

number of clusters

E.  

number of neighbors

Discussion 0
Questions 4

Which is an example of a nominal scale data?

Options:

A.  

a variable industry with categorical values such as financial, engineering, and retail

B.  

a variable mood with a scale of values unhappy, ok, and happy

C.  

a variable bank account balance whose possible values are $5, $10, and $15

D.  

a variable temperature with a scale of values low, medium, and high

Discussion 0
Questions 5

Given two multidimensional arrays of the same data type, A and B which two Python NumPy statements give the matrix product of the two matrices? (Choose two.)

Options:

A.  

A @ B

B.  

A × B

C.  

A * B

D.  

np.matprod(A,B)

E.  

np.dot(A,B)

Discussion 0
Questions 6

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

Options:

A.  

OCR

B.  

Hough transformation

C.  

Fourier transform

D.  

normalized correlation

Discussion 0
Questions 7

What is the primary role of a data steward?

Options:

A.  

they are a "blue sky thinker" who comes up with new approaches to use new data in innovative ways

B.  

they have a strong understanding of the enterprise's database architecture

C.  

they define data processes to meet compliance and regulatory obligations

D.  

the one who collects, processes, and performs statistical analysis on data

Discussion 0
Questions 8

The formula for recall is given by (True Positives) / (True Positives + False Negatives). What is the recall for this example?

Options:

A.  

0.2

B.  

0.25

C.  

0.5

D.  

0.33

Discussion 0
Questions 9

What is meant by the curse of dimensionality?

Options:

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.

Discussion 0
C1000-059 Questions Answers | C1000-059 Test Prep | IBM AI Enterprise Workflow V1 Data Science Specialist Questions PDF | C1000-059 Online Exam | C1000-059 Practice Test | C1000-059 PDF | C1000-059 Test Questions | C1000-059 Study Material | C1000-059 Exam Preparation | C1000-059 Valid Dumps | C1000-059 Real Questions | IBM Data and AI: Data and AI C1000-059 Exam Questions