DUMPS
BASE
EXAM DUMPS
PEGASYSTEMS
PEGACPDS24V1
28% OFF Automatically For You
Certified Pega Data Scientist
, 1.The Prioritize component always outputs __________.
A. on arbitrary number of offers
B. top 1 offer
C. top 3 offers
D. all eligible offers
Answer: D
2.An Adaptive model component in a decision strategy can output ____________.
A. an optimized strategy
B. the customer's propensity to accept an action
C. the number of customers eligible for an action
D. an action
e
as
B
Answer: B
ps
um
D
om
fr
)
02
3.A data scientist and an application developer must configure a chatbot to improve
8.
(V
ps
customer service response time. The application developer created the digital
um
D
messaging channel.
1
V
24
What is the next step for the data scientist?
S
D
P
A. Create a new text prediction and associate it with the digital messaging channel
C
A
G
E
that the application developer creates.
P
s
m
te
B. Create and train a new text prediction and inform the application developer.
ys
as
C. Modify pySystemEntities model to meet business needs, and then associate it with
eg
P
t
the digital messaging channel that the application developer created.
es
ew
D. Train the text prediction that the system generates.
N
e
th
Answer: D
h
it
w
n
io
t
ra
pa
re
P
4.A coffee company wants to create a data set that includes mock up customer
r
ou
Y
address information and the likelihood to churn.
n
he
gt
Which method is available to populate these fields?
en
tr
A. Bayesian
S
B. Propensity
C. Expression
D. Import
Answer: C
5.What is entity extraction in NLP?
A. The process of identifying the subject of a sentence
B. The process of identifying the sentiment of a sentence
C. The process of identifying the action that a user intends to take based on their
BASE
EXAM DUMPS
PEGASYSTEMS
PEGACPDS24V1
28% OFF Automatically For You
Certified Pega Data Scientist
, 1.The Prioritize component always outputs __________.
A. on arbitrary number of offers
B. top 1 offer
C. top 3 offers
D. all eligible offers
Answer: D
2.An Adaptive model component in a decision strategy can output ____________.
A. an optimized strategy
B. the customer's propensity to accept an action
C. the number of customers eligible for an action
D. an action
e
as
B
Answer: B
ps
um
D
om
fr
)
02
3.A data scientist and an application developer must configure a chatbot to improve
8.
(V
ps
customer service response time. The application developer created the digital
um
D
messaging channel.
1
V
24
What is the next step for the data scientist?
S
D
P
A. Create a new text prediction and associate it with the digital messaging channel
C
A
G
E
that the application developer creates.
P
s
m
te
B. Create and train a new text prediction and inform the application developer.
ys
as
C. Modify pySystemEntities model to meet business needs, and then associate it with
eg
P
t
the digital messaging channel that the application developer created.
es
ew
D. Train the text prediction that the system generates.
N
e
th
Answer: D
h
it
w
n
io
t
ra
pa
re
P
4.A coffee company wants to create a data set that includes mock up customer
r
ou
Y
address information and the likelihood to churn.
n
he
gt
Which method is available to populate these fields?
en
tr
A. Bayesian
S
B. Propensity
C. Expression
D. Import
Answer: C
5.What is entity extraction in NLP?
A. The process of identifying the subject of a sentence
B. The process of identifying the sentiment of a sentence
C. The process of identifying the action that a user intends to take based on their
