Weekend Special Limited Time 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code = simple70

Pass the IBM Data and AI: Data and AI C1000-059 Questions and answers with ExamsMirror

Practice at least 50% of the questions to maximize your chances of passing.
Exam C1000-059 Premium Access

View all detail and faqs for the C1000-059 exam

Go to Exam

509 Students Passed

86% Average Score

92% Same Questions
Viewing page 1 out of 2 pages
Viewing questions 1-10 out of questions
Questions # 1:

What are two key characteristics of cloud architecture that could benefit AI applications? (Choose two.)

Options:

A.

constant attention needed for maintenance and support of the cloud platform

B.

capable of managing and handling dynamic workloads with automatic recovery from failures

C.

hybrid clouds enable the deployment of distributed large neural networks

D.

support for common business oriented language (COBOL) applications

E.

the hardware requirement can be scaled up as per the demand

Questions # 2:

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

Questions # 3:

Which is a technique that automates the handling of categorical variables?

Options:

A.

binary encoding

B.

decoding

C.

autoencoding

D.

one-hot encoding

Questions # 4:

Which situation would disqualify a machine learning system from being used for a particular use case?

Options:

A.

The use case requires a 100% likelihood of making a correct/true prediction.

B.

Training and testing data for the model contain outliers.

C.

Data for the machine learning model is available only as static CSV files.

D.

The neural network for the model requires significantly more computing power than a logistic regression model.

Questions # 5:

Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

Options:

A.

Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.

B.

Do not apply any data transformation or feature extraction or feature engineering steps.

C.

Leverage only deep learning algorithms.

D.

Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

Questions # 6:

Determine the number of bigrams and trigrams in the sentence. "Data is the new oil".

Options:

A.

3 bigrams, 3 trigrams

B.

4 bigrams, 4 trigrams

C.

3 bigrams, 4 trigrams

D.

4 bigrams, 3 trigrams

Questions # 7:

What are two methods used to detect outliers in structured data? (Choose two.)

Options:

A.

multi-label classification

B.

isolation forest

C.

gradient descent

D.

one class Support Vector Machine (SVM)

E.

Word2Vec

Questions # 8:

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

Options:

A.

Support Vector Machines

B.

Naive Bayes classification

C.

Logistic regression

D.

Linear regression

Questions # 9:

In which example would recall be preferred over precision?

Options:

A.

recall is always preferred

B.

identify suitable candidates for a job

C.

detection of malignant tumors

D.

book recommendation

Questions # 10:

Which distance is applied for multivariate outlier detection?

Options:

A.

Minkowski distance

B.

Manhattan distance

C.

Mahalanobis distance

D.

Euclidean distance

Viewing page 1 out of 2 pages
Viewing questions 1-10 out of questions
TOP CODES

TOP CODES

Top selling exam codes in the certification world, popular, in demand and updated to help you pass on the first try.

2V0-11.25
ADM-201
Agentforce-Specialist
CMMC-CCP
Data-Cloud-Consultant
PCNSE
PDI
PSE-Strata-Pro-24
Secure-Software-Design
Sharing-and-Visibility-Architect
Workday-Pro-Integrations
ZDTA