DUMPS
BASE
EXAM DUMPS
IBM
C1000-177
28% OFF Automatically For You
Foundations of Data Science using IBM watsonx
, 1.Why is it important to create hypotheses about the behavior of the AI system?
A. It simplifies the coding process for developers
B. It helps predict and mitigate potential risks associated with the system
C. It is primarily for marketing purposes
D. It fulfills a legal requirement for AI development
Answer: B
2.In the context of machine learning, what does the term 'model drift' refer to?
A. The migration of the model from one server to another
B. The change in model parameters due to new updates
C. The change in model performance due to changes in underlying data patterns
D. The physical movement of the hardware running the model
s
as
Answer: C
P
ou
Y
p
el
H
3.Which approach is recommended for prioritizing business opportunities when
to
planning an MVP?
de
ui
A. Choosing the most straightforward implementation irrespective of impact
G
dy
B. Assessing the potential return on investment and strategic fit
tu
C. Prioritizing based on the preference of the project manager
S
ht
D. Focusing solely on technological innovation
ig
-R
Answer: B
)
02
8.
(V
ps
4.What is the primary purpose of monitoring a model in production?
um
A. To enhance the visual appeal of the model's output
D
77
B. To ensure the model's performance remains stable over time
-1
00
C. To reduce the model's complexity for easier understanding
10
D. To increase the model's training speed
C
ic
Answer: B
nt
he
ut
A
5.Which of the following are essential tasks when preparing data for exploratory
analysis? (Choose Three)
A. Labeling data accurately
B. Ensuring data is representative of the entire population
C. Assigning random values to missing data points
D. Anonymizing sensitive information
E. Organizing data chronologically
Answer: ABD
BASE
EXAM DUMPS
IBM
C1000-177
28% OFF Automatically For You
Foundations of Data Science using IBM watsonx
, 1.Why is it important to create hypotheses about the behavior of the AI system?
A. It simplifies the coding process for developers
B. It helps predict and mitigate potential risks associated with the system
C. It is primarily for marketing purposes
D. It fulfills a legal requirement for AI development
Answer: B
2.In the context of machine learning, what does the term 'model drift' refer to?
A. The migration of the model from one server to another
B. The change in model parameters due to new updates
C. The change in model performance due to changes in underlying data patterns
D. The physical movement of the hardware running the model
s
as
Answer: C
P
ou
Y
p
el
H
3.Which approach is recommended for prioritizing business opportunities when
to
planning an MVP?
de
ui
A. Choosing the most straightforward implementation irrespective of impact
G
dy
B. Assessing the potential return on investment and strategic fit
tu
C. Prioritizing based on the preference of the project manager
S
ht
D. Focusing solely on technological innovation
ig
-R
Answer: B
)
02
8.
(V
ps
4.What is the primary purpose of monitoring a model in production?
um
A. To enhance the visual appeal of the model's output
D
77
B. To ensure the model's performance remains stable over time
-1
00
C. To reduce the model's complexity for easier understanding
10
D. To increase the model's training speed
C
ic
Answer: B
nt
he
ut
A
5.Which of the following are essential tasks when preparing data for exploratory
analysis? (Choose Three)
A. Labeling data accurately
B. Ensuring data is representative of the entire population
C. Assigning random values to missing data points
D. Anonymizing sensitive information
E. Organizing data chronologically
Answer: ABD
