[Aug 15, 2021] PEGAPCDS86V1 Ultimate Study Guide - PracticeMaterial
Ultimate Guide to Prepare PEGAPCDS86V1 Certification Exam for PCDS in 2021
NEW QUESTION 10
In a Prioritize component, the best action can be determined based on the value of
- A. Customer,Value
- B. Propensity
- C. Average Margin
- D. Customer.Income
Answer: A
NEW QUESTION 11
You are the Decisioning Consultant on an Al-powered one-to-one Customer Engagement implementation project. You are asked to design the Next-Best-Action prioritization expression that balances the customer needs with the business objectives.
What factors do you consider in the prioritization expression?
- A. customer contact rules
- B. product compatibility rules
- C. product eligibility rules
- D. business levers
Answer: C
NEW QUESTION 12
A Scoring Model allows you to differentiate between
- A. Accept, Reject, Maybe Later
- B. Good, Better, Best
- C. Good, Bad
- D. Good, Bad, Unknown
Answer: C
NEW QUESTION 13
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. Scorecard
- B. Adaptive Model
- C. Decision Table
- D. Predictive Model
Answer: C
NEW QUESTION 14
A Text Analyzer performs natural language processing on a piece of text. It then produces a structured output, which can be analyzed using reports.
What type of text analysis does the text analyzer perform?
- A. Cross reference analysis
- B. Word count
- C. Word analysis
- D. Classification
Answer: D
NEW QUESTION 15
Which business objective is best suited for the Next-Best-Action approach?
- A. Change Management
- B. Productivity
- C. Employee satisfaction
- D. Growth
Answer: D
NEW QUESTION 16
The Filter component is used to filter________________,
- A. attributes
- B. adaptive models
- C. action
- D. customers
Answer: B
NEW QUESTION 17
A telecom company is interested in improving customer engagement on social media. However, there are hundreds of relevant messages posted every day, and it is not practical for customer service representatives (CSRs) to review and respond to all messages. Instead, CSRs should focus on negative messages.
What do you need to analyze the incoming messages?
- A. Predictive model
- B. Adaptive model
- C. Text extraction model
- D. Text categorization model
Answer: C
NEW QUESTION 18
When building a predictive model, what is a valid predictor data type?
- A. String
- B. Character
- C. Symbolic
- D. Boolean
Answer: C
NEW QUESTION 19
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. 0.5
- B. 0.0
- C. null
- D. 1-0
Answer: B
NEW QUESTION 20
When defining outcomes for an Adaptive Model you must define_________________.
- A. only negative behavior values
- B. one or more positive behavior values
- C. behavior values to be ignored
- D. positive, negative and neutral behavior values
Answer: A
NEW QUESTION 21
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. Import a third party PMML model
- B. Use a Google ML model
- C. Create a Text extraction model
- D. Create an adaptive self-learning model
- E. Use Pega machine learning to build a model
Answer: B,C,E
NEW QUESTION 22
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 23
The implementation of Next-Best-Action must involve
- A. defining business issue and group hierarchy
- B. building a product catalog
- C. defining a prioritization formula using contact policies
- D. inclusion of third party predictive models
Answer: A
NEW QUESTION 24
According to Forrester, it is far more expensive to attract new customers than it is to prevent existing customers from leaving.
Which model type do you use to predict if a customer is likely to churn?
- A. Extraction model
- B. Categorization model
- C. Predictive model
- D. Adaptive model
Answer: C
NEW QUESTION 25
U+ Bank has a chat bot to service its customers. When customers initiate a chat, they are asked to describe the issue they would like to resolve. U+ Bank wants to increase customer satisfaction by assigning the support agent from the correct department to help the customer.
As a data scientist, you need to create a model which will predict the correct department based on the customer's input. To do this you build a_______________.
- A. Adaptive model
- B. Pegs machine learning model
- C. Text categorization model
- D. Text extraction model
Answer: B
NEW QUESTION 26
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