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Pega NBC 6.2 Certification Exam - Next Best Action Consultant. > Pega NBC 6.2 Exam - Next Best Action Consultant > Flashcards

Pega NBC 6.2 Exam - Next Best Action Consultant Flashcards

1
Q

Are companies interested in retaining all customers at all cost?

Prepared by Andre’ Cesta

A

No

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2
Q

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

Prepared by Andre’ Cesta

A

To both offers and channels.

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3
Q

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

Prepared by Andre’ Cesta

A

Customer behaviour.

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4
Q

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

A

Control groups.

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5
Q

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

Prepared by Andre’ Cesta

A

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.

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6
Q

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

Prepared by Andre’ Cesta

A

Customer communications.

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7
Q

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

Prepared by Andre’ Cesta

A

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

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8
Q

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

Prepared by Andre’ Cesta

A
  • 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);
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9
Q

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

Prepared by Andre’ Cesta

A

Both.

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10
Q

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

Prepared by Andre’ Cesta

A

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.

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11
Q

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

Prepared by Andre’ Cesta

A

1 individual.

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12
Q

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

A

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

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13
Q

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

A

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.

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14
Q

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

A

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.

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15
Q

What is lift? What is its formula?

Prepared by Andre’ Cesta

A

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

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16
Q

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

Prepared by Andre’ Cesta

A

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

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17
Q

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

Prepared by Andre’ Cesta

A

True.

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18
Q

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

Prepared by Andre’ Cesta

A

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.

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19
Q

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

Prepared by Andre’ Cesta

A

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.

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20
Q

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

A
  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.

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21
Q

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

A

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.

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22
Q

What does CLV stand for?

Prepared by Andre’ Cesta

A

Customer Lifetime Value.

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23
Q

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

Prepared by Andre’ Cesta

A

Answer: 2 and 3 only.

  1. Data comes from outside the strategy.
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24
Q

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

A
  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.

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25
Q

Which Pega software tool is used to build predictive models (not adaptative)?

Prepared by Andre’ Cesta

A

The predictive analytics director.

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26
Q

Which Pega software tool is used to build adaptative models?

Prepared by Andre’ Cesta

A

Adaptative model/decision manager.

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27
Q

Yes or no? Does the predictive analytic director generate reports about the model building process?

Prepared by Andre’ Cesta

A

Yes.

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28
Q

If we do not have historical data should we build predictive or adaptative models?

Prepared by Andre’ Cesta

A

Adaptative. Predictive need historical data.

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29
Q

Which models should we use for credit risk; claims risk or fraud?

Prepared by Andre’ Cesta

A

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

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30
Q

Do adaptative models use multiple or just one modelling technique?

Prepared by Andre’ Cesta

A

Multiple.

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31
Q

Yes or no: Are adaptative models more powerful than predictive models?

Prepared by Andre’ Cesta

A

No. It depends on the situation/adequacy.

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32
Q

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

A
  1. Proposed cause of action; It can also be an educational proposal (propose customer will learn about something).
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33
Q

Project work in a decisioning project cannot typically be parallelized in teams. True or false?

Prepared by Andre’ Cesta

A

False. Yes it can be parallelized.

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34
Q

What is the Next Best Action Advisor?

Prepared by Andre’ Cesta

A

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

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35
Q

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

Prepared by Andre’ Cesta

A

The visual analytics director.

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36
Q

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

A
  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.
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37
Q

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

A

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.

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38
Q

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

A

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

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39
Q

What does primary. does as a property prefix? What does it access?

Prepared by Andre’ Cesta

A

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

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40
Q

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

A

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

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41
Q

How to use a literal value such as a message that has a dot in it? How to escape this?

Prepared by Andre’ Cesta

A

Use quotes primary.Customer.message = “Message…”

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42
Q

True or false? String concatenation is done via concat(“ value1”, “value2”).

Prepared by Andre’ Cesta

A

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

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43
Q

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

A
  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).
44
Q

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

A
  1. Scorecard;
  2. Predictive model;
  3. Adaptative model;
  4. Strategy;
  5. Interaction;
45
Q

Yes or no? Do Run strategy and Capture response connect directly to strategy?

Prepared by Andre’ Cesta

A

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).

46
Q

Which Pega tool is used to create; edit adaptative models?

Prepared by Andre’ Cesta

A

It is the adaptative model manager.

47
Q

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

Prepared by Andre’ Cesta

A

Pega unified marketing.

48
Q

Yes or no? Is it possible to visualize number accepted instead of volume in the visual analytics director?

Prepared by Andre’ Cesta

A

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

49
Q

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

A

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.

50
Q

Name three dimensions visualizable in visual analytics directors and also their different dimension levels.

Prepared by Andre’ Cesta

A
  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.
51
Q

What kind of predictive model algorithms/techniques are available for predictive models (not adaptative)?

Prepared by Andre’ Cesta

A

CART/CHAID/ID3 decision trees; logistic regression; info-trees; bivariate analysis.

If you answered decision trees; regression and info trees that is OK.

52
Q

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

A

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.

53
Q

True or false? Adaptative model properties can become inactive. True or false?

Prepared by Andre’ Cesta

A

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

54
Q

True or false? Bivariate analysis and predictor groups help preventing colinearity in regression. True or false?

Prepared by Andre’ Cesta

A

True.

55
Q

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

A

The customer panel, also known as more about panel.

56
Q

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

A

The customer journey bar.

57
Q

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

A

The customer welcome script.

58
Q

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

A

The NBA box.

59
Q

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

A

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

60
Q

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

A

From the intent category data table.

61
Q

Who creates the dev environment for decisioning projects? Which role?

Prepared by Andre’ Cesta

A

It is the lead strategy designer.

62
Q

True or false? In Pega projects a data analyst creates predictive models. True or false?

Prepared by Andre’ Cesta

A

True.

63
Q

He configures the system; develops interfaces; deploys strategies; develops data models. His role is that of a:

Prepared by Andre’ Cesta

A

System architect.

64
Q

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

A

True

65
Q

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

A

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

66
Q

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

A

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

67
Q

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

A
  1. Behaviour is not available in the adaptative models page.
68
Q

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.
A
  1. Adaptative models cannot be invoked from decision shapes.
69
Q

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

A

False.

70
Q

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

A

Prioritization allows ranking propositions based on calculations.

71
Q

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

A

The switch component.

72
Q

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;
A

Answer: 2. spectrum model.

73
Q

What is the first step in model analysis?

  1. Score distribution;
  2. Score comparison;
  3. Class comparison;
  4. Discrimination comparison;
A
  1. Score comparison.
74
Q

What does a lift of 100 mean?

A

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.

75
Q

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

A

True.

76
Q

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

A

True.

77
Q

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.
A

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

78
Q

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.
A

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

79
Q

Which of the adaptative model outputs is automatically mapped to a strategy property? Choose one:

  1. Propensity;
  2. Performance;
  3. Evicence;
  4. Behaviour.
A
  1. Propensity is automatically mapped to pyPropensity strategy property.
80
Q

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?

A
  1. True.
81
Q

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

A

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

82
Q

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;
A

Answer: 2 and 4.

83
Q

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

A

True. This is to avoid the curse of colinearity.

84
Q

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

A

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).

85
Q

The default property for ranking propositions in the prioritization rule is:

  1. pxRank;
  2. pxPriority;
  3. pxSegment;
  4. pxGroup;
A

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

86
Q

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.
A
  1. pxRank;

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

87
Q

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

A

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.

88
Q

What is the default transformation/test case in strategy designer? Choose one:

  1. pyPreview
  2. pyTestModel
  3. pyDefaultSample
  4. pyDefault
A

pyDefault.

89
Q

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.
A
  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.

90
Q

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.

A

b and c.

91
Q

Which property contains the date and time at which a proposition was previously offered? (Choose one)

a. pyCount
b. pyDate
c. pyStamp
d. pyWhen

A

c. pyStamp

92
Q

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.

A

True.

93
Q

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

A

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

94
Q

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.
A

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…

95
Q

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.

A

c. change the customer address.

96
Q

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

A

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

97
Q

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

A

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

98
Q

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

A

InteractionDetails clipboard page.

99
Q

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.
A
  1. Data tables via the data model landing page.
100
Q

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

A

Priority.

101
Q

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

A

Yes, via the compare option.

102
Q

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

A

The Proposition ID of the related offer.

103
Q

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

A

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).

104
Q

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

A

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.

105
Q

Where are the control parameters imported from?

A

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.

Pega NBC 6.2 Certification Exam - Next Best Action Consultant. (2 decks)

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