Final Assessment - SAP PAPM CO Expert (23 Questions)

How can SAP Profitability and Performance Management be described best? It is

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• A business data aggregator

• A business data encryption solution

• A calculation engine

• An in memory data storage

• A simulation application

How many number of sampling points do we have to be specify for the linear interpolation?

• Two

• One

• Three

• Four

Which of the following option can be used in the valuation function to discount all cash inflows and cash outflows separately?

• The discount

• The Valuation

• The discounting valuation

• The NPV

Complete the formulaNPV =

• Principal * Rate

• Principal * Term

• Principal * WeightPrincipal * Discount

What are the deployment options of the SAP Profitability and Performance Management solution?

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• On-premise

• Cloud

• A SAP HANA database is required for PaPM

• Stand alone, but integrated

• Stand alone

Which are typical use cases for PaPM?

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• Profitability and allocation

• Plan and forecast modeling

• Cash flow modeling

• Data access and enrichment

• Analysis and reporting

PaPM comes with a rich sample content. What can it be used for?

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• The sample content spares the implementation project

• The content can be used as a starting point for demos, examples, and model creation

• Reading the sample content helps to save on training cost

• Later, it can be used to look up best practices

• It can be used to connect to source systems

Which important applications are provided with PaPM?

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• Modeling: build, change, and test models - Modeling Overview and My Environments

• Classic SAP Implementation Guide

• Execution: run models and analyze results, handle exceptional cases – My Activities, My Events, My Reports

• Classic SAP Easy Access

• SAP Fiori Tiles for the most important apps

The PaPM Function Building Blocks:

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• Provide a clear structure for all PaPM Functions

• Are used to provide a proper documentation of PaPM Models

• Comprise of header, input, signature, lookup, rules, and checks

• Provide the Signature: all processing functions have a signature, which can produce a result for subsequent functions. The signature defines the minimum number of relevant fields of a function. There can also be optional further implicit fields from input, not defined in Signature

• are another name for the PaPM functions which are used to build a PaPM Model

There are three groups of fields in a signature. What is correct on Granularity fields?

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• Granularity fields define the minimum granularity of a function

• They can be used for calculation formulas and assignments within the rules of a function because their values can be changed in the function

• They cannot occur as selection or action fields in the same function, which means rules or modifications on the granularity fields are not allowed

• Granularity fields can be used for horizontal package parallel processing, because they ensure that the overall result is always the same, irrespective of whether all the data is processed in one or multiple packages when you use granularity fields for grouping

• A typical example is the VERSION granularity field in a calculation function, which ensures that all calculations are run for each version and not across all versions