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Question No. 1

When tasked with developing a transformational supply chain strategy, it is important to start with:

Adetermining the customers' current and future needs.

Bidentifying and documenting external megatrends.

Cscanning and assessing the competitor landscape.

Dprioritizing actions and assessing their effectiveness.

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Correct Answer: A

According to the ASCM CTSC Exam Content Manual, one of the first steps in developing a transformational supply chain strategy is to ''determine the current and future needs and expectations of the customers, and align the supply chain strategy with the business strategy and customer value proposition'' (p.16)1. This helps to ensure that the supply chain transformation is customer-centric and focused on delivering value to the end users. The other options are also important, but they should be done after the initial determination of the customers' needs.

Question No. 2

A company implements a new enterprise resource planning (ERP) system in 5 different regions globally. During ERP deployment, the company realizes that one region structures the product

hierarchy significantly differently than the other four regions. What step did this company omit in transforming management?

AIdentifying the drivers of current performance

BDeveloping an organizational mapping

CUnderstanding the relationship between actions

DDeploying the five core supply chain management disciplines

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Correct Answer: B

According to the ASCM CTSC Exam Content Manual, developing an organizational mapping is one of the steps in transforming management. An organizational mapping is defined as 'a tool that helps to identify the current and future state of the organization's structure, roles, responsibilities, and reporting relationships'1. An organizational mapping can help to ensure alignment and consistency across different regions, functions, and processes, and to identify and resolve any gaps or conflicts that may arise during the transformation. By omitting this step, the company failed to recognize and address the difference in the product hierarchy among the regions, which could lead to problems in data integration, reporting, and analysis in the new ERP system.

Question No. 3

What is the purpose of using value at risk (VAR) in supply chain risk management?

ATo establish a common language to quantify supply chain risk in terms of currency

BTo prioritize supply chain risks based on their likelihood of occurrence

CTo assess the financial impacts of supply chain risks

DTo measure the effectiveness of supply chain mitigation efforts

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Correct Answer: A

Explore

the purpose of using value at risk (VAR) in supply chain risk management is to establish a common language to quantify supply chain risk in terms of currency. VAR is defined as 'a statistical technique used to measure and quantify the level of financial risk within a firm or investment portfolio over a specific time frame'2. VAR can help to estimate the potential loss that a supply chain may face due to various sources of disruption, such as demand fluctuations, supplier failures, natural disasters, or cyberattacks13. By expressing supply chain risk in monetary terms, VAR can help to communicate the risk exposure to different stakeholders, compare the risk profiles of different supply chain scenarios, and allocate resources for risk mitigation13. VAR can also help to link supply chain risk management with corporate financial performance and strategy14.

Question No. 4

A firm creating a digital supply chain transformation team wants to ensure the data feeds to be used are of high quality and free of errors. Which key role within the transformation team should be

responsible for the quality and accuracy of the data feeds?

AData engineer

BData steward

CData modeler

DData scientist

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Correct Answer: B

According to the ASCM CTSC Exam Content Manual, a data steward is a key role within a digital supply chain transformation team that is responsible for the quality and accuracy of the data feeds. A data steward is defined as 'an oversight or data governance role within an organization, and is responsible for ensuring the quality and fitness for purpose of the organization's data assets, including the metadata for those data assets'1. A data steward may share some responsibilities with a data custodian, such as the awareness, accessibility, release, appropriate use, security and management of data1. A data steward would also participate in the development and implementation of data assets. A data steward may seek to improve the quality and fitness for purpose of other data assets their organization depends upon but is not responsible for1. Data stewards have a specialist role that utilizes an organization's data governance processes, policies, guidelines and responsibilities for administering an organizations' entire data in compliance with policy and/or regulatory obligations1. The overall objective of a data steward is the data quality of the data assets, datasets, data records and data elements1. This includes documenting metainformation for the data, such as definitions, related rules/governance, physical manifestation, and related data models (most of these properties being specific to an attribute/concept relationship), identifying owners/custodian's various responsibilities, relations insight [definition needed] pertaining to attribute quality, aiding with project requirement data facilitation and documentation of capture rules1. Data stewards begin the stewarding process with the identification of the data assets and elements which they will steward, with the ultimate result being standards, controls and data entry1. The steward works closely with business glossary standards analysts (for standards), with data architect / modelers (for standards), with DQ analysts (for controls) and with operations team members (good-quality data going in per business rules) while entering data1. Data stewardship roles are common when organizations attempt to exchange data precisely and consistently between computer systems and to reuse data-related resources1. Master data management often [quantify] makes references to the need for data stewardship for its implementation to succeed. Data stewardship must have precise purpose, fit for purpose or fitness1.

1: Data steward - Wikipedia

Question No. 5

In addition to creating an internal and external profile of the organization, which of the following items is needed to define the scope of the supply chain transformation project?

ABusiness description

BStrategic background

CValue proposition statement

DSWOT analysis

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Correct Answer: B

According to the CTSC exam content manual1, the strategic background is one of the items needed to define the scope of the supply chain transformation project, along with the internal and external profile of the organization. The strategic background includes the vision, mission, values, goals, and objectives of the organization, as well as the drivers and enablers of the transformation.

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