Data Science and MLOps level 2 Quiz Attempt review
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School
National University of Singapore *
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Course
IS4261
Subject
Information Systems
Date
May 24, 2024
Type
Pages
10
Uploaded by CaptainFogOyster19
Question 1
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Question 2
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Data Science and MLOps level 2
Quiz
You must receive a score of 75% or higher on the quiz to complete
the course.
Started on
Tuesday, May 21, 2024, 4:44 AM
State
Finished
Completed on
Tuesday, May 21, 2024, 5:25 AM
Time taken
41 mins 19 secs
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Congratulations, you passed the Data
Science and MLOps level 2 Quiz!
The IBM Client Engineering organization can
provide one or more Design Thinking
workshop to help prioritize a client's goals.
What else do they offer?
Machine learning lifecycle
management
Hybrid cloud and AI technologies
An end-to-end solution for data science
and MLOps
Consulting services on-site or remote
You client tells you that Amazon AWS is their
strategic platform. They want to know what
IBM can offer to accelerate their data
science projects. After talking about the
value provided by IBM, what offering would
you lead with?
Cloud Pack for Data Enterprise Edition
Cloud Pack for Integration
Data Science and MLOps bundle
Cloud Pack for Data as a Service
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Question 3
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Question 4
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Question 5
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You’re presenting to a client about Watson
Query and bring up the importance of a
concept called “single version of the truth”
and how enterprises are inadvertently
creating “multiple versions of the truth”. One
of the attendees asks, “What do you think
causes multiple versions of truth?” What do
you tell them?
Combining multiple datasets on-the-fly
Using multiple interfaces to access data
Duplicating data
Transforming data as it is read
While working on a data science opportunity,
you engage with many people who represent
different facets of a client's business and
each of them has some influence on their
company's software buying decision. Which
one of the following roles has, as one of their
main priorities, a need to understand how a
vendor's solution deploys machine learning
models?
Data Science Practice Leader
Chief Data Of
�
cer
Director of Enterprise Architecture
Financial Analyst
What is an easy way for clients to get started
with the IBM Data Science and MLOps
platform?
Sign up for Expert Labs services
Install the data science and MLOps
software bundle on AWS
Register for a Cloud Pak for Data as a
Service account
Go through a workshop hosted by
IBM client engineering
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Question 6
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Question 7
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Question 8
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What could cause a lack of con
�
dence in
generated model?
The data scientist that created the
model left the company
The model uses open-source libraries
The model uses a decision tree
algorithm
The model is a black box
Expertise connect is a companion offering for
the Data Science and MLOps bundle. What
other offering would be relevant for clients
that have implemented this bundle and have
reached the point where their models are
now in production?
MLOps Monitor
MLOps Build
MLOps Verify
MLOps Deploy
The IBM data science and MLOps capabilities
include the ability to create models using
what TYPES of tools?
No-code, graphical UI, and canvas
No-code, AutoAI, and Jupyter Lab
No-code, low-code, and full code
No-code, Jupyter notebook, and full
code
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Question 9
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Question 10
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Question 11
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Who are the main three buyer pro
�
les for a
data science and MLOps opportunities?
Analytics leader, Line of business,
and IT leader
Chief Executive Of
�
cer, Chief Data
Of
�
cer, and Chief Operating Of
�
cer
Chief Data Of
�
cer, Chief Technology
Of
�
cer, and Director of analytics
VP enterprise technology, Operations
manager, and Director of IT strategy
It is a common practice to have multiple
copies of data stored in different locations.
Why is this a problem?
Copies of the data can be lost
Data users can't trust that they are
using current data
Users will need to create models from
each copy
More data scientists are required to
handle multiple copies
The IBM Data Science and MLOps
capabilities include an automated pipeline
interface used to orchestrate AI modeling.
This feature can take multiple tasks and run
them in various sequences, depending on
conditions that a client can de
�
ne supported
by the pipeline editor is NOT included in the
Data Science and MLOps Express offering?
AutoAI
Notebook
Model deployment
Data re
�
nery
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