IBM C1000-059 Exam Questions Instant Access

Question 1

What is the primary role of a data steward?

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

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

Cthey define data processes to meet compliance and regulatory obligations

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

Answer : D

Question 2

When should median value be used instead of mean value for imputing missing data?

Afor skewed data

Bfor real numbers

Cfor normally distributed data

Dfor large data sets

Answer : D

Question 3

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 4

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 5

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?

Aincrease the depth of the neural network

Binsert a dropout layer in the neural network architecture

Cincrease the proportion of the train dataset by moving examples from the validation dataset to the train dataset

Drestart the training with a higher learning rate

Answer : D

Question 6

Which two statements are correct about deploying machine learning models? (Choose two.)

AIt allows integration within business applications.

BIt makes it possible to create reports for management dynamically using specific parameters from executives.

CIt is critical for achieving high accuracy in training.

DIt is a necessary step in training and evaluating the performance of the models.

EIt is only possible on the cloud because they require a large amount of compute resources.

Answer : C, D

Question 7

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

Atrend, noise, covariance

Btrend, noise, kurtosis

Ctrend, seasonality, causation

Dtrend, seasonality, noise

Answer : D

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