Pega NBC 6.2 Exam - Next Best Action Consultant

Question 1

Are companies interested in retaining all customers at all cost?

Prepared by Andre’ Cesta

Answer 1

No

Question 2

Can decisioning be applied to offers and channels or just offers or just channels?

Prepared by Andre’ Cesta

Answer 2

To both offers and channels.

Question 3

What is more generic? Predicting customer propensity to buy or predicting customer behaviour?

Prepared by Andre’ Cesta

Answer 3

Customer behaviour.

Question 4

What can be used as a part of the campaign segmentation/targeting to ensure that we are not targeting customers with offers that they would have bough anyway even without targeting?

Prepared by Andre’ Cesta

Answer 4

Control groups.

Question 5

Customer communications need to be T_ _ _ _ _; C _ _ _ _ _ _-S e n s i t _ _ _; R _ _ _ _ _ _ _ and C _ _ _ _ _ _ _ _ _.

Prepared by Andre’ Cesta

Answer 5

Timely (at the right time); Context-Sensitive (if the customer calls to complain it will not try to sell immediately; Relevant (otherwise the customer will not accept them); Consistent (it remembers what was said before and it is based and aligned with our company strategies).

This Pega set of four customer communication requirements is very similar to marketing TICC: targetted; interactive; continuous; controlled. Or to integrated marketing communications 4Cs: Coherent; Consistent; Complementary; Continuous. But for some reason Pega wants to use their own terminology.

Question 6

Timely; Context Sensitive; Relevant; Consistent are properties of what?

Prepared by Andre’ Cesta

Answer 6

Customer communications.

Question 7

Growth; Service; Retention; and Risk Mitigation are four areas of concern for what?

Prepared by Andre’ Cesta

Answer 7

For business issues; for predictive models; for propositions; all of these can fit these categories. But for Pega memorization it is about business goals.

Question 8

What are the four areas of concern for business when creating next best actions?

Prepared by Andre’ Cesta

Answer 8

• Growth (sell more; acquire more customers);
• Service (improve quality; satisfaction; educate customers);
• Retention (Provide the correct incentive at the right time for keeping our customers from leaving us);
• Risk Mitigation (know customers who are likely to default/not pay or are likely to be low value and act accordingly);

Question 9

Should next best action generate value for the customer? The company? Or both?

Prepared by Andre’ Cesta

Answer 9

Both.

Question 10

The more customers a company has; the more rooms occupied in a hotel the better?

Prepared by Andre’ Cesta

Answer 10

No. Nowadays it is not about occupation or customer base size maximization, but about: margin/yield optimization. Less customers which generate more revenue are more relevant.

Question 11

NBA is about segments of size _. Or in other words about treating each customer as an _ _ _ _ _ _ _ _ _ _.

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Answer 11

1 individual.

Question 12

Should a call reason of cancelling an account probably trigger a sale strategy? What strategy it is more likely to trigger?

Prepared by Andre’ Cesta

Answer 12

No. It is more likely to trigger a retention strategy.

Question 13

Would the reason for leaving: competitor; no money; death be important input for the adaptative model to decide on an offer?

Prepared by Andre’ Cesta

Answer 13

Yes. You could even collect the competitor name if you know your top competitors and this could help predict for how much budget you are likely to retain that customer.

Question 14

What are control groups used for? What do they have to do with beating the dead horse or in some languages (raining on the wet) when it comes to campaigns targeting customers?

Prepared by Andre’ Cesta

Answer 14

Control groups ensure we do not target customers who would have bought anyway, but instead customers who need some explanation/offer/education in order to develop the need/want to buy.

Question 15

What is lift? What is its formula?

Prepared by Andre’ Cesta

Answer 15

(Percent of responded / Percent targetted) * 100. E.g. 20% / 1% = 200.

Question 16

When targeting 100% of the population what is your lift equal to?

Prepared by Andre’ Cesta

Answer 16

The percentage of responders in the population (e.g. 50% or 20% if less people respond to this campaign).

Question 17

True or false? The more customers an organization has; the more transactions the more next best actions?

Prepared by Andre’ Cesta

Answer 17

True.

Question 18

Can NBA rules operationalize business directions and strategies? Can you mention another purpose for NBA rules?

Prepared by Andre’ Cesta

Answer 18

Yes. If they do not or if they go against business directions and regulations they should be reviewed. It is true that they operationalize business directions and strategies, but they call and be about regulations.

Question 19

Predicting customer behaviour benefits: the business; the customer; both; none.

Prepared by Andre’ Cesta

Answer 19

Both. Marketing is about generating win win relationships. It is true though that sometimes marketing pushes people to over-consuption which is not always to their benefit. But the correct answer is about good marketing and educating and captivating customers; and building long term relationships with them. This is how brands are built. And them they will buy more from you because they are delighted and not because of consumerism.

Question 20

What types of data can be input into a predictive or adaptative model? Can you provide classifications/categories for this data?

Prepared by Andre’ Cesta

Answer 20

1. Social and demographic;
2. Product holdings and usage (FRAC: frequency, recency, amount and category of use, ARPU);
3. Customer interaction data (complaints; inquiries; behavioural);
4. Contextual data from interaction (channel; call reason).

Also other categories (sometimes orthogonal or overlapping to the above): demographic; psychographic; behavioral.

Question 21

If there is a credit risk than mitigate that risk; else if there is a churn risk then start/use a retention strategy; else see if there is a sales opportunity.

The above script conditional logic to select from multiple flows of campaign sub-strategies can be implemented via what type of strategy selection component (not segmentation, nor arbitration component)?

Prepared by Andre’ Cesta

Answer 21

A switch component.

Decision trees or tables are segmentation components and not selection components, and moreover decision trees or table just produce a result that is usually mapped to pxSegment, but they do not directly select a sub-strategy. In order to select a sub-strategy and its propositions you need to apply a switch component. Alternatively you could filter on proposition type, but filters are not selection components, but arbitration components.

Question 22

What does CLV stand for?

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Answer 22

Customer Lifetime Value.

Question 23

Which one these three make up a decision strategy?
1. Data; 2. Predictive models; 3. Business Rules.

Prepared by Andre’ Cesta

Answer 23

Answer: 2 and 3 only.

1. Data comes from outside the strategy.

Question 24

When can a next best action be made? Choose the best answer:

1. Every time a new piece of information is received.
2. At the start of an interaction and every time the customer responds.
3. At the start of an interaction and when the customer contact reason is captured.
4. At the start of an interaction and at the end, after the customer response is captured.

Prepared by Andre’ Cesta

Answer 24

1. Every time a new piece of information is received.

This answer is more generic. The others give specific rules of engagement that do not cover all cases.

Question 25

Which Pega software tool is used to build predictive models (not adaptative)? Prepared by Andre' Cesta

Answer 25

The predictive analytics director.

Question 26

Which Pega software tool is used to build adaptative models? Prepared by Andre' Cesta

Answer 26

Adaptative model/decision manager.

Question 27

Yes or no? Does the predictive analytic director generate reports about the model building process? Prepared by Andre' Cesta

Answer 27

Yes.

Question 28

If we do not have historical data should we build predictive or adaptative models? Prepared by Andre' Cesta

Answer 28

Adaptative. Predictive need historical data.

Question 29

Which models should we use for credit risk; claims risk or fraud? Prepared by Andre' Cesta

Answer 29

Predictive. The response for giving somebody credit or loans or insurance comes late and is asynchronous (default or not default on payments, etc).

Question 30

Do adaptative models use multiple or just one modelling technique? Prepared by Andre' Cesta

Answer 30

Multiple.

Question 31

Yes or no: Are adaptative models more powerful than predictive models? Prepared by Andre' Cesta

Answer 31

No. It depends on the situation/adequacy.

Question 32

What is a proposition (choose the most explanative): 1. Sales offer; 2. Sales or retention offer; 3. Any kind of offer; 4. Proposed cause of action; Prepared by Andre' Cesta

Answer 32

4. Proposed cause of action; It can also be an educational proposal (propose customer will learn about something).

Question 33

Project work in a decisioning project cannot typically be parallelized in teams. True or false? Prepared by Andre' Cesta

Answer 33

False. Yes it can be parallelized.

Question 34

What is the Next Best Action Advisor? Prepared by Andre' Cesta

Answer 34

It is the tool used typically in call centres to run next best action strategies for customers.

Question 35

What Pega software tool allows slicing and dicing on dimensions such as issues/groups/propositions; customer; channel; etc? Prepared by Andre' Cesta

Answer 35

The visual analytics director.

Question 36

What are typical items to consider for defining the scope of a decisioning project? Name at least 4 such as: use single offers or bundled offers also; etc. Prepared by Andre' Cesta

Answer 36

1. Direction: inbound/outbound; both. 2. Channels: web; IVR; etc. 3. Business issues: growth, retention, service, risk. 4. Applications: datawarehouse; web shop. 5. Data considerations. Did you guess at least 4 out of 5? Give yourself maximum points.

Question 37

Indicate which 3 project phases can be paralelized: 1. Configure environment; 2. Access data & integrate systems; 3. Create predictive & adaptative models; 4. Create decision strategies; 5. Deploy and test for production; 6. Apply in channels and applications; 7. Monitor and control. Prepared by Andre' Cesta

Answer 37

Steps or phases 2, 3, 4 can be paralelized provided we know a little about the data and have a skeleton/template for the decision strategies. The other are harder to parallelize, but one should start as early as possible to exercise some form of deployment to test environment to avoid future blockages. If you answered any of the above you are fine. Some people may paralelize 3 and 4 and try early 5.

Question 38

Using dot notation (e.g. prefix.propertyname); how can we access the properties inside a property group A in our data model? We mean from an logic expression inside a component. Prepared by Andre' Cesta

Answer 38

If you type primary. it will already autocomplete with the property groups such as "Customer" and this will allow you to access such properties.

Question 39

What does primary. does as a property prefix? What does it access? Prepared by Andre' Cesta

Answer 39

It accesses the property groups in the data model folder from the explorer area from the decision manager.

Question 40

What are the groups of properties typically found under the Data Model/Property folder in the explorer area from the decision manager? Prepared by Andre' Cesta

Answer 40

It has property groups such as Customer; Interaction History; etc.

Question 41

How to use a literal value such as a message that has a dot in it? How to escape this? Prepared by Andre' Cesta

Answer 41

Use quotes primary.Customer.message = "Message..."

Question 42

True or false? String concatenation is done via concat(" value1", "value2"). Prepared by Andre' Cesta

Answer 42

False, concatenation is done like in Java: " value1" + "value2".

Question 43

What are the three flow shapes that are either introduced or modified on PRPC to perform NBA? These point to/refer to PRPC nodes. Prepared by Andre' Cesta

Answer 43

1. Decision (modified to run predictive models and other strategy components/not shapes; decisioning can be built into processes without strategies in them); 2. Run Strategy (introduced to run more complex decisions based on strategies); 3. Capture Response (introduced).

Question 44

What are the new PRPC nodes introduced? THere are 5. They are not the following: Decision; Run Strategy; Capture Response; these are flow shapes that sometimes call/refer to these PRPC nodes. Prepared by Andre' Cesta

Answer 44

1. Scorecard; 2. Predictive model; 3. Adaptative model; 4. Strategy; 5. Interaction;

Question 45

Yes or no? Do Run strategy and Capture response connect directly to strategy? Prepared by Andre' Cesta

Answer 45

No, they connect indirectly to strategies, they connect first to Interaction PRPC nodes. This allows chaning the strategy without impacting the process flow (just change the interaction that marshals parameters and results in and out from the strategy).

Question 46

Which Pega tool is used to create; edit adaptative models? Prepared by Andre' Cesta

Answer 46

It is the adaptative model manager.

Question 47

Next best action advisor; customer process manager and visual business director are part of what set of Pega tools? Prepared by Andre' Cesta

Answer 47

Pega unified marketing.

Question 48

Yes or no? Is it possible to visualize number accepted instead of volume in the visual analytics director? Prepared by Andre' Cesta

Answer 48

Yes. One can visualize besides volume: 1. Number accepted; 2. Number fullfiled; 3. Responses processed; 4. Fullfilment processed; 5. Revenue.

Question 49

Yes or no? The visual analytics director allows visualizing volume by proposition/group/issue and channels. Can channels be substituted by other dimensions? Which ones? Prepared by Andre' Cesta

Answer 49

Yes it can. 1. Customer segments/sub-segments/sub-sub segments; 2. Applications/User Groups/Users; 3. Channels/directions/treatments; 4. Issues/Groups/Propositions; 5. Behaviours/responses; 6. Time/month/day/etc.

Question 50

Name three dimensions visualizable in visual analytics directors and also their different dimension levels. Prepared by Andre' Cesta

Answer 50

1. Customer segments/sub-segments/sub-sub segments; 2. Applications/User Groups/Users; 3. Channels/directions/treatments; 4. Issues/Groups/Propositions; 5. Behaviours/responses; 6. Time/month/day/etc.

Question 51

What kind of predictive model algorithms/techniques are available for predictive models (not adaptative)? Prepared by Andre' Cesta

Answer 51

CART/CHAID/ID3 decision trees; logistic regression; info-trees; bivariate analysis. If you answered decision trees; regression and info trees that is OK.

Question 52

In the context of the next best action advisor. What kind/data type of object stores "customer intents or call reasons" and also is used to store offers presented in the negotiation tabs. Prepared by Andre' Cesta

Answer 52

A data table. This is where we should edit them also. Offers are in the negotiation groups data table and customer intents (aka call reasons) are in the: intent category data table.

Question 53

True or false? Adaptative model properties can become inactive. True or false? Prepared by Andre' Cesta

Answer 53

True; automatically and later can become active again, automatically.

Question 54

True or false? Bivariate analysis and predictor groups help preventing colinearity in regression. True or false? Prepared by Andre' Cesta

Answer 54

True.

Question 55

The next best action advisor shows two main screens in a sequence. First one that allows to select the call reason and another that allows to negotiate an offer if for instance a make offer NBA is selected on the first screen. Question: on the first screen what is the name of the tall rectangle screen area that contains the customer details on the left? Prepared by Andre' Cesta

Answer 55

The customer panel, also known as more about panel.

Question 56

The next best action advisor shows two main screens in a sequence. First one that allows to select the call reason and another that allows to negotiate an offer if for instance a make offer NBA is selected on the first screen. Question: on the first screen what is the name of the wide rectangular screen area that contains the customer stage in the process at the top (among other values related to his current state). Prepared by Andre' Cesta

Answer 56

The customer journey bar.

Question 57

The next best action advisor shows two main screens in a sequence. First one that allows to select the call reason and another that allows to negotiate an offer if for instance a make offer NBA is selected on the first screen. Question: on the first screen in between the customer jorrney bar and the call reason panel a message is displayed to be read aloud by the agent to the customer. What is the name of this message? Prepared by Andre' Cesta

Answer 57

The customer welcome script.

Question 58

The next best action advisor shows two main screens in a sequence. First one that allows to select the call reason and another that allows to negotiate an offer if for instance a make offer NBA is selected on the first screen. Question: on the first screen; to the right the NBA is presented (may change subject to call reason identification). What is the name of this area? Prepared by Andre' Cesta

Answer 58

The NBA box.

Question 59

The next best action advisor shows two main screens in a sequence. First one that allows to select the call reason and another that allows to negotiate an offer if for instance a make offer NBA is selected on the first screen. Question on the second screen offers can be presented in one of two modes/formats/presentation styles. What are they? Prepared by Andre' Cesta

Answer 59

Offer palete and offer comparison list. Configurable via a column that is displayed in the "negotiation groups" data table.

Question 60

The next best action advisor shows two main screens in a sequence. First one that allows to select the call reason and another that allows to negotiate an offer if for instance a make offer NBA is selected on the first screen. Question on the first screen. From which data table do the call reasons come from? Prepared by Andre' Cesta

Answer 60

From the intent category data table.

Question 61

Who creates the dev environment for decisioning projects? Which role? Prepared by Andre' Cesta

Answer 61

It is the lead strategy designer.

Question 62

True or false? In Pega projects a data analyst creates predictive models. True or false? Prepared by Andre' Cesta

Answer 62

True.

Question 63

He configures the system; develops interfaces; deploys strategies; develops data models. His role is that of a: Prepared by Andre' Cesta

Answer 63

System architect.

Question 64

True or false? Decision management focuses on the business functions involved in creating and monitoring predictive models and decision strategies. True or false?

Answer 64

True

Question 65

Decisioning components are the building blocks of a business process. True or false.

Answer 65

False. They are the building blocks of decision strategies that can be called/invoked from business processes.

Question 66

The run strategy rule shape references the strategy rule type. True or false?

Answer 66

False. It is decoupled by referencing first the interaction rule type.

Question 67

What information is not available in the adaptative models page? 1. Channel; 2. Proposition; 3. Performance; 4. Behaviour.

Answer 67

4. Behaviour is not available in the adaptative models page.

Question 68

Which of the following rule types cannot be invoked from a decision shape? 1. Predictive model; 2. Scorecard model; 3. Adaptative model; 4. Decision tree.

Answer 68

3. Adaptative models cannot be invoked from decision shapes.

Question 69

True or false? For monitoring business processes the capture response flow shape is used in combination with the run strategy flow shape.

Answer 69

False.

Question 70

We want to determine the best proposition based on calculations involving variables such as margin made, etc. Which decisioning component do we use?

Answer 70

Prioritization allows ranking propositions based on calculations.

Question 71

To select among decision strategies based on calculations involving customer value, etc, what decision component is best used?

Answer 71

The switch component.

Question 72

To predict at what value a customer will buy a particular service, what kind of model must be created? 1. Scoring model; 2. Spectrum model; 3. Probability model; 4. Value model;

Answer 72

Answer: 2. spectrum model.

Question 73

What is the first step in model analysis? 1. Score distribution; 2. Score comparison; 3. Class comparison; 4. Discrimination comparison;

Answer 73

2. Score comparison.

Question 74

What does a lift of 100 mean?

Answer 74

It means you are for instance able to send campaign mail to 20% of the database or list; and from this mailing obtain only 20% of the responses you'd get if you'd send it to the whole base. So basically your highly likely to response group of 20% of the base is as likely to respond as the whole base and your lift is 20%/20% * 100 = 100. A chimpanzee would make a model better than you. A random model would be better.

Question 75

True or false? Class comparison is similar to score comparison, but it accounts for the customer segments. True or false?

Answer 75

True.

Question 76

True or false? The model report shows the choices and any notes made during the end-to-end predictive model development process.

Answer 76

True.

Question 77

Three things need to be done to configure a response model, which of the following options is incorrect? 1. Indicate which properties will be used as predictors. 2. Indicate the output properties. 3. Indicate which response values will be used to indicate positive behaviour. 4. Indicate which response values will be used to indicate negative behavior.

Answer 77

2 is wrong. You do not need to map model output properties to configure a response model.

Question 78

The execution of the adaptative model produces three outputs. Which of the following is not one of the outputs? 1. Propensity. 2. Performance. 3. Evidence. 4. Lift.

Answer 78

Lift is not an output from an adaptative model. It is evaluated by performance which is 0.5 before it has collected any data.

Question 79

Which of the adaptative model outputs is automatically mapped to a strategy property? Choose one: 1. Propensity; 2. Performance; 3. Evicence; 4. Behaviour.

Answer 79

1. Propensity is automatically mapped to pyPropensity strategy property.

Question 80

True or false? Adaptative models do not need historical data, but if we want we can use historical data to train them. True or false?

Answer 80

1. True.

Question 81

True or false. Adaptative models help us focus activities on the propositions with the highest relevance for the company.

Answer 81

False, one has to have deterministic rules for that. Just a small adaptative model cannot compute relevance for the whole company on all propositions.

Question 82

What is a good reason for clearing a model? (Choose two). 1. When there is not enough evidence; 2. When there is a change in the proposition; 3. When there is too much evidence; 4. When the evidence was generated in a test run;

Answer 82

Answer: 2 and 4.

Question 83

True or false. From two correlated predictors only the predictor with the strongest performance will be selected and become active for the adaptative model.

Answer 83

True. This is to avoid the curse of colinearity.

Question 84

True or false. The Z-ratio indicates the accuracy of the adaptative model.

Answer 84

False. Why? I think the Z ratio is confidence we have in the prediction, but not its accuracy. Confidence is how much we are sure we did not predict well just by chance. The accuracy has nothing to do with how confident we are we predicted well by change. It has to do with how well in fact we predicted (rate of true positives + true negatives) divided by (true positives + true negatives + false positives + false negatives). A value of 1 indicates a super accurate model. A value of 50% indicates a model that predicts true behavior (predicts correctly) only half of the time (better to use random guessing than models).

Question 85

The default property for ranking propositions in the prioritization rule is: 1. pxRank; 2. pxPriority; 3. pxSegment; 4. pxGroup;

Answer 85

Answer it is pxPriority, that must come pre-calculated; and the prioritization rule will change the pxRank values to match the prioritization logic.

Question 86

The property that gives us the order in which the propositions are selected by the Prioritization rule are: 1. pxIdentifier; 2. pxPriority; 3. pxRank; 4. SelectedIndex.

Answer 86

3. pxRank; Still the pxPriority is calculated and changed. But the order is in pxRank (ordinals 1, 2, 3, 4...).

Question 87

The criteria in the filter component are defined such that if the criteria are met the proposition will be filtered out.

Answer 87

False. They are selected, passed through if the criteria is met; if they meet the criteria. Imagine them passing if they meet the filter test.

Question 88

What is the default transformation/test case in strategy designer? Choose one: 1. pyPreview 2. pyTestModel 3. pyDefaultSample 4. pyDefault

Answer 88

pyDefault.

Question 89

Which of the following is correct? 1. Properties defined at the group level are automatically available at the issue level. 2. Properties defined at the issue level are automatically available at the proposition level. 3. Properties defined at the group level are automatically available at the proposition level. 4. Properties defined at the issue level are automatically available at the group level.

Answer 89

1. We can only define properties at the group or proposition levels, not at the higher issue level. Properties defined in the group level cascade down to the proposition level.

Question 90

Which two of the following can be used to inspect the values of properties? Choose two. a. Strategies properties tab. b. Test page. c. Clipboard. d. Visual business director.

Answer 90

b and c.

Question 91

Which property contains the date and time at which a proposition was previously offered? (Choose one) a. pyCount b. pyDate c. pyStamp d. pyWhen

Answer 91

c. pyStamp

Question 92

True or false? The strategy result property contains the action recommended by the Decision Strategy. The interaction result property contains the customer interaction data to the action recommended by the Decision Strategy.

Answer 92

True.

Question 93

Next best advisor question. In which panel from the personalized welcome screen will you find the usage trends?

Answer 93

In the customer details or more about panel (also known as more about panel).

Question 94

What are the key inputs to the initial NBA assessment? Choose three. 1. Risk identification. 2. Business objectives. 3. Call reason. 4. Customer life time value.

Answer 94

All but 3. call reason. Call reason is not available when the screen is presented. The customer agent has to select call reason. Unless the call reason is given by IVR which is not on the training material...

Question 95

If the call reason is to change the customer address what will be the next best action? a. sell something. b. there will be no change in the customer action. c. change the customer address.

Answer 95

c. change the customer address.

Question 96

In the NBA advisor. What is the alternative name for the bundle summary box? And for the negotiated offer box below it?

Answer 96

They are budget box and basket. Bundle summary box is the same as budget box. Negotiated offer box is the same as basket.

Question 97

What is the name of the clipboard page that the call reason information comes from?

Answer 97

SelectedIntentDetails clipboard page (it is a page that contains another page called SelectedIntent with property SelectedIntent.IntentName and SelectedIntent.ID).

Question 98

What is the name from the clipboard page containing channel details?

Answer 98

InteractionDetails clipboard page.

Question 99

To access the negotiation groups table we navigate to ______ : 1. Data models via the data tables landing page; 2. Negotiation tables via the data model landing page; 3. Data tables via the data model landing page; 4. Negotiation tables via the data tables landing page.

Answer 99

3. Data tables via the data model landing page.

Question 100

NBAAdvisor. On the offer palette, within a subgroup are offers ordered by propensity or priority?

Answer 100

Priority.

Question 101

NBAAdvisor. Within palette offer subgroups can we compare the offers?

Answer 101

Yes, via the compare option.

Question 102

NBAA. For offers to be displayed only when related offers are selected we need to populate the RelatedOffer attribute with what?

Answer 102

The Proposition ID of the related offer.

Question 103

What are pyStamp; pyResponse; pyCount and what are they used for?

Answer 103

These are interaction history properties used to understand the previous customer responses to the current proposition being presented. pyStamp is the timestamp this proposition was last presented before; pyCount is the number of times it was presented before; pyResponse is the last response (positive or negative).

Question 104

Do we need to import the control parameters for them to be used in our strategy?

Answer 104

Yes, they need to be imported via an data import shape. We typically name this shape Control Parameters and we can access it from any other shape in the flow by referring to: ControlParameter.

Question 105

Where are the control parameters imported from?

Answer 105

They are defined in the Pega order management framework, OMF. More precisely they are defined in the Pega-OMF-ON-Data - Control Parameters Class. I would not expect people to memorize to this level, but maybe remember the name if seeing it.