IBM C1000-059 Exam Questions Instant Access

Question 1

What are three elements that are typically part of a machine learning pipeline in scikit-learn or pyspark? (Choose three.)

Amodel building

Bdata preprocessing

Cmodel prediction

Dbusiness understanding

Euse case selection

Fdata exploration

Answer : B, C, F

Question 2

After importing a Jupyter notebook and CSV data file into IBM Watson Studio in the IBM Public Cloud project, it is discovered that the notebook code can no longer access the CSV file.

What is the most likely reason for this problem?

ACSV files cannot be used as data sources in Watson Studio.

BThe CSV file was converted to a binary blob and must be converted in the notebook code.

CThe CSV file is stored in a Cloud Object Storage.

DThe CSV file is stored in a Watson Machine Learning instance and is only accessible via REST API.

Answer : C

Question 3

Considering one ML application is deployed using Kubernetes, its output depends on the data which is constantly stored in the model, if needing to scale the system based on available CPUs, what feature should be enabled?

Apersistent storage

Bvertical pod autoscaling

Chorizontal pod autoscaling

Dnode self-registration mode

Answer : A

Question 4

A classification task has examples that are labeled as belonging to one of two classes:

* 90% of the examples belong to class-1

* 10% belong to class-2

Which two techniques are appropriate to deal with the class imbalance? (Choose two.)

Aapply dimensionality reduction to the features before training

Bimpose an additional cost on the model for making classification mistakes on the minority class during training

Clower the detection threshold of the minority class after training

Doversample the minority class and/or undersample the majority class

Eafter training, divide the model accuracy of each class by the proportion that they represent in the dataset

Answer : B, E

Question 5

Which is an example of a nominal scale data?

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

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

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

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

Answer : C

Question 6

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

AOCR

BHough transformation

CFourier transform

Dnormalized correlation

Answer : D

Question 7

What is the meaning of "deep" in deep learning?

ATo go deep into the loss function landscape.

BThe higher the number of machine learning algorithms that can be applied, the deeper is the learning.

CA kind of deeper understanding achieved by any approach taken.

DIt indicates the many layers contributing to a model of the data.

Answer : D

IBM AI Enterprise Workflow V1 Data Science Specialist C1000-059 Exam Questions