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C1000-136 IBM Cloud Pak for Data v4.x Solution Architecture Questions and Answers

Questions 4

Which two types of custom workflows are supported by Watson Knowledge Catalog?

Options:

A.

Governance Artifact workflows

B.

New Employee workflows

C.

Code Review workflows

D.

Security workflows

E.

Request workflows

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Questions 5

With limited data science training and staff, which Cloud Pak for Data feature provides the most expedited path to developing data science models?

Options:

A.

Data Lineage

B.

Data Governance

C.

Database Monitoring

D.

Watson Machine Learning with AutoAl

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Questions 6

What are deployment spaces used for when working with Watson Machine Learning?

Options:

A.

Create a collaboration space for developers to create work items, bugs, and system documentation

B.

Create and manage deployments for machine learning models

C.

Organize machine learning models into different deployment pods

D.

Manage Cloud Pak for Data resources

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Questions 7

Which Cloud Pak for Data tool automatically analyzes tabular data and generates candidate model pipelines?

Options:

A.

Data Refinery

B.

Dashboard Editor

C.

RStudio

D.

AutoAl

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Questions 8

What are two rungs of IBM's Al ladder?

Options:

A.

Store

B.

Analyze

C.

Develop

D.

Secure

E.

Collect

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Questions 9

A company is looking to leverage machine learning and data science for self-reporting and analysis of customer churn. Which option has the greatest potential to give them a head start with implementation and leveraging Cloud Pak for Data?

Options:

A.

Developing a customer data model that is imported into Watson Knowledge Catalog

B.

Implementing an Industry Accelerator

C.

Building a data lake to store all customer data

D.

Implementing Cognos Analytics sourced from a Db2 star schema data mart

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Exam Code: C1000-136
Exam Name: IBM Cloud Pak for Data v4.x Solution Architecture
Last Update: Mar 18, 2024
Questions: 63