PEGAPCDS86V1 Dumps To Pass Pegasystems Exam in 24 Hours - DumpsTorrent [Q29-Q49]

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PEGAPCDS86V1 Dumps To Pass Pegasystems Exam in 24 Hours - DumpsTorrent

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NEW QUESTION 29
Which two factors do you inspect to assess the general health of the adaptive models in Prediction Studio?
(Choose Two.)

  • A. Insights
  • B. Model transparency
  • C. Number of decisions
  • D. Performance of the models

Answer: B,D

 

NEW QUESTION 30
A company uses a Monte Carlo data set containing customer information for testing. They want to extend the data model to include all credit card product usage data. Customers may have multiple cards.
To extend the customer data model with the credit card product usage data, you need to______________..

  • A. add a Field
  • B. add a Group
  • C. merge customer and credit card data
  • D. create a Provider

Answer: C

 

NEW QUESTION 31
A contact center application recommends three actions for a customer. The business team wants to know the possible ways in which these actions can be ordered so that the contact center agent can discuss one proposition at a time, starting from the top.
As a strategy designer, if you use a Prioritize component to order the actions, what are your options?

  • A. In ascending or in descending order based on a numerical value
  • B. In the order controlled by the contact center agent
  • C. In a random order
  • D. In the order in which they are displayed in the strategy canvas

Answer: B

 

NEW QUESTION 32
Which property is automatically recomputed for each decision component?

  • A. Order
  • B. Rank
  • C. Propensity
  • D. Priority

Answer: C

 

NEW QUESTION 33
To enable an assessment of its reliability, the Adaptive Model produces three outputs: Propensity.
Performance and Evidence.
The performance of an Adaptive Model that has not collected any evidence is_____________________.

  • A. 0.0
  • B. null
  • C. 1-0
  • D. 0.5

Answer: A

 

NEW QUESTION 34
You are a company with a new and unique product, and you want to offer it to the right customer. Given the scenario, which rule type should you use?

  • A. Decision Table
  • B. Scorecard
  • C. Predictive Model
  • D. Adaptive Model

Answer: A

 

NEW QUESTION 35
A company wants to capture the sentiment of relevant Twitter messages to allow its customer service representatives to concentrate only on the negative messages.
Sentiment refers to the general attitude of the author towards a subject and can be____________.

  • A. Defensive
  • B. Absent
  • C. Offensive
  • D. Positive

Answer: D

 

NEW QUESTION 36
Which Adaptive Model output is automatically mapped to a strategy property?

  • A. performance
  • B. propensity
  • C. evidence
  • D. score

Answer: C

 

NEW QUESTION 37
The Prioritize component always outputs

  • A. top 3 offers
  • B. on arbitrary number of offers
  • C. top 1 offer
  • D. all eligible offers

Answer: D

 

NEW QUESTION 38
Which data is usually not appropriate to be used as a predictor?

  • A. Historical interaction data
  • B. Customer zip code
  • C. Usage data
  • D. Customer name

Answer: B

 

NEW QUESTION 39
A company wants to simulate decisions that requires large amounts of data. However, the organisation's live data is inaccessible. Your advice is to use a Monte Carlo data set.
The Monte Carlo method________________

  • A. enables the company to generate random data for most of its application needs
  • B. combines external data sets into a larger data set
  • C. generates data that the company can use as input for adaptive decisioning
  • D. makes the organisation's live data accessible

Answer: A

 

NEW QUESTION 40
When defining outcomes for an Adaptive Model you must define_________________.

  • A. one or more positive behavior values
  • B. positive, negative and neutral behavior values
  • C. only negative behavior values
  • D. behavior values to be ignored

Answer: C

 

NEW QUESTION 41
The Prediction Studio portal supports the creation of two distinct types of predictive Scoring models are used to__________________.

  • A. predict binary behavior
  • B. score different propositions
  • C. predict continuous behavior
  • D. differentiate between good, better and best

Answer: A

 

NEW QUESTION 42
You can save a regression model as a______________.

  • A. Decision Tree rule
  • B. Scorecard rule
  • C. Predictive Model rule
  • D. Regression Model rule

Answer: D

 

NEW QUESTION 43
The implementation of Next-Best-Action must involve

  • A. defining business issue and group hierarchy
  • B. building a product catalog
  • C. inclusion of third party predictive models
  • D. defining a prioritization formula using contact policies

Answer: A

 

NEW QUESTION 44
When selecting the list of predictors for an adaptive model you should

  • A. select at least one date property
  • B. select up to a maximum of 500 predictors
  • C. always use numeric type for integer properties
  • D. consider a wide range of properties

Answer: B

 

NEW QUESTION 45
A legal firm wants to use text analytics for easier and faster access to information to help with compliance related issues. The legal firm needs a taxonomy of legal concepts.
What is a taxonomy?

  • A. A list of business rules
  • B. A list of valid categories
  • C. A sentiment analysis model
  • D. The output of an expert survey

Answer: B

 

NEW QUESTION 46
As a Data Scientist you want to use a predictive model to detect potential churn for a telco company. Which three options do you have? (Choose Three)

  • A. Use Pega machine learning to build a model
  • B. Import a third party PMML model
  • C. Create a Text extraction model
  • D. Use a Google ML model
  • E. Create an adaptive self-learning model

Answer: A,C,D

 

NEW QUESTION 47
What is the key characteristic that Next-Best-Action must consider to satisfy customer needs?

  • A. Relevancy
  • B. Fraud
  • C. Service
  • D. Mobility

Answer: C

 

NEW QUESTION 48
In a Prioritize component, the best action can be determined based on the value of

  • A. Propensity
  • B. Average Margin
  • C. Customer.Income
  • D. Customer,Value

Answer: D

 

NEW QUESTION 49
......


Pegasystems PEGAPCDS86V1 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Utilizing text analytics for email routing
  • Text Analytics
Topic 2
  • Introducing Pega to data scientists
  • Next-Best-Action
Topic 3
  • Predicting customer behavior using real-time data
  • Understanding decisioning logic
Topic 4
  • Using third party predictive models
  • Adaptive Analytics
Topic 5
  • Building predictive models
  • Predictive Analytics
Topic 6
  • Arbitrating between customer actions
  • Decision Strategies
Topic 7
  • Quantifying the impact of machine learning
  • Demonstrating adaptive learning

 

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