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PCDS
PEGACPDS88V1
Certified Pega Data Scientist 8.8 Questions and Answers

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Questions # 21:

A company wants to create a data set that includes mock-up customer add which method is available to populate these fields?

Options:

Propensity

Bayesian

Monte Carlo

Import

Answer

Explanation

The Monte Carlo method is a way to create a data set that includes mock-up customer data. You can use this method to generate random values for customer properties, such as age, gender, income, etc., based on predefined probabilities and distributions. References: https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set

Questions # 22:

The result of a Predictive Model is stored in a property called__________.

Options:

pyPrediction

pxResult

pyOutcome

pxSegment

Answer

Questions # 23:

U+ Insurance wants to use Pega Process Al™ to detect fraud and assign suspicious claims to a fraud expert for closer inspection.

To meet this requirement, how does an application developer use the outcome of a predictive fraud model in the case type that processes the incoming claim?

Options:

Use the prediction outcome in the condition of an assignment step.

Use the model outcome in the condition of an assignment step.

Use the prediction outcome in the condition of a decision step.

Use the model outcome in the condition of a decision step.

Answer

Explanation

Pega Process AI™ lets you bring your own predictive models to Pega and use predictions in case types to optimize the way your application processes work and meet your business goals.

To use the outcome of a predictive fraud model in the case type that processes the incoming claim, you need to use the model outcome in the condition of a decision step2. This way, you can route suspicious claims to a fraud expert for closer inspection based on the model’s prediction.

Questions # 24:

What are the most important aspects taken into consideration when determining the Next-Best-Action?

Options:

Product discounts and business profitability

Network bandwidth and call duration

Market trends and customer satisfaction

Business objectives and customer needs

Answer

Explanation

The most important aspects taken into consideration when determining the Next-Best-Action are business objectives and customer needs. Business objectives reflect the goals and priorities of the organization, such as increasing revenue, reducing costs, or managing risk. Customer needs reflect the preferences and expectations of the customers, such as their interests, intents, or life events. References: https://academy.pega.com/module/one-one-customer-engagement/topic/next-best-action-designer

Questions # 25:

Which property is automatically recomputed for each decision component?

Options:

Property

Rank

Order

Priority

Answer

Explanation

The rank property is automatically recomputed for each decision component. It indicates the order in which the actions are presented to the customer, based on their priority and propensity. References: https://academy.pega.com/module/creating-and-understanding-decision-strategies-archived/topic/ranking-actions

Questions # 26:

What type of a predictor can you use in an adaptive model?

Options:

Symbolic

Integer

Page Type

Logical

Answer

Explanation

In an adaptive model, you can use Symbolic predictors.

Questions # 27:

Customer Decision Hub™ uses the P*C*V*L arbitration formula to select the next best action for each customer. Which factor in the arbitration formula is calculated by using AI?

Options:

Business levers

Context weighing

Propensity

Action value

Answer

Explanation

In Customer Decision Hub™, the factor in the arbitration formula that is calculated by using AI is Propensity.

Questions # 28:

Pega Customer Decision Hub™ uses the P*C*V*L arbitration formula to select the next best action for each customer. Which description best describes the purpose of the formula?

Options:

To ensure that every customer receives the same action

To ensure that the customer is always given the best offer, regardless of the business objective

To provide insight into business processes

To balance customer needs with business objectives

Answer

Explanation

Pega Customer Decision Hub™ uses the PCV*L arbitration formula to select the next best action for each customer. The purpose of the formula is to balance customer needs with business objectives.

Questions # 29:

To configure an adaptive model, the responses that indicate specific customer behavior must be identified. What types of behavior need to be identified?

Options:

Positive and negative behavior

Any behavior

Positive behavior only

Positive, neutral, and negative behavior

Answer

Explanation

Positive and negative behavior Reference:

To configure an adaptive model, you must identify positive and negative behavior that indicate specific customer behavior.

Questions # 30:

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

Options:

enables the company to generate random data for most of its application needs

generates data that the company can use as input for adaptive decisioning

combines external data sets into a larger data set

makes the organization's live data accessible

Answer

Explanation

The Monte Carlo method enables the company to generate data that simulates customer behavior and can be used as input for adaptive decisioning. The generated data is based on predefined probabilities and distributions that reflect realistic scenarios. References: https://academy.pega.com/module/demonstrating-adaptive-learning-archived/topic/creating-monte-carlo-data-set

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