Explanation
Supply risk is the risk of not being able to source the required raw materials, components, or services from suppliers to meet customer demand1.It can be caused by various factors, such as supplier failure, quality issues, natural disasters, geopolitical events, or market fluctuations1.Supply risk can affect the cost, quality, and delivery performance of a supply chain1.
1: https://www.ascm.org/ctsc-ecm/

Explanation
According to the ASCM CTSC Exam Content Manual, one of the factors that influences the risk exposure of a supply chain segment is the availability of alternative sources of supply (p. 20). If there is only one available supplier for an important product, the supply chain segment is more vulnerable to disruptions and uncertainties, such as supplier failure, quality issues, price fluctuations, or geopolitical events. Therefore, this product category should have the most complete and thorough risk mitigation plans, which may include strategies such as developing backup suppliers, increasing inventory buffers, diversifying sourcing locations, or implementing contractual agreements.

Explanation
According to the CTSC Exam Content Manual, one of the ways to accelerate the change and track the progress of a new technology implementation is to create visibility1.Creating visibility means sharing the information and data about the change process, such as the objectives, benefits, milestones, challenges, and results, with the relevant stakeholders, such as the employees, managers, customers, and suppliers1.Creating visibility can help to increase the awareness, understanding, and acceptance of the change, as well as to identify and address the issues and risks that may arise during the change1.Creating visibility can also help to monitor and evaluate the performance and impact of the new technology, and to provide feedback and recognition to the change agents and participants1. The other options are not the best ways to accelerate the change and track the progress of a new technology implementation, as they are more related to other aspects of the supply chain or the change management.Utilizing a push-pull system is a way to balance the demand and supply in the supply chain, but it does not directly affect the speed or the measurement of the change2.Adopting define-test-deploy is a way to implement a new technology in a phased manner, but it does not necessarily accelerate the change or track the progress, unless it is combined with other methods, such as agile or lean3. Identifying current performance drivers is a way to understand the factors that influence the supply chain performance, but it does not help to implement a new technology, unless it is followed by a gap analysis and a solution design.

Explanation
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

Explanation
According to the CTSC Exam Content Manual1,probabilistic forecasting is one of the key capabilities of the sense digital discipline, which aims to capture and analyze data from various sources to generate insights and foresights for decision making. Probabilistic forecasting provides a range of possible outcomes for each item, along with the associated probabilities, rather than a single point estimate. This allows the company to better understand the uncertainty and variability of the demand and supply, and to plan accordingly. Probabilistic forecasting is a positive and expected result of the digital transformation, as it enhances the accuracy and reliability of the forecasts, and enables more effective risk management and scenario analysis.
1: https://www.ascm.org/ctsc-ecm/