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CTSC Pack
Vendor: APICS
Exam Code: CTSC
Exam Name: Certified in Transformation for Supply Chain Exam
Exam Questions: 151
Last Updated: April 9, 2026
Related Certifications: Certified in Transformation for Supply Chain
Exam Tags: Professional Level Supply Chain Professional
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Free APICS CTSC Exam Actual Questions

Question No. 1

Which of the following roles is generally defined as a sponsor of an improvement effort?

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Correct Answer: B

According to the ASCM CTSC Exam Content Manual, a champion is generally defined as a sponsor of an improvement effort. A champion is 'a senior leader who provides direction and support for a strategic initiative and ensures alignment with the organization's vision, mission, and goals'1. A champion is also responsible for securing resources, removing barriers, and empowering the improvement team to achieve the desired outcomes1. A champion acts as a role model, a mentor, and a spokesperson for the improvement effort and helps to communicate its value and benefits to the stakeholders1.

1: ASCM CTSC Exam Content Manual, page 9.


Question No. 2

A firm sells its products to retailers who then sell these products to customers. The firm wishes to obtain retail sales data for these products in near real time to improve its demand planning. Which

of the following actions should the firm undertake first?

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Correct Answer: C

Before the firm can negotiate or discuss data exchanges with the retailers, it should first review its own data needs and potential trading options. This means that the firm should identify what kind of retail sales data it requires, how frequently, and for what purpose. It should also assess the value and quality of the data, and the costs and benefits of obtaining it. Moreover, the firm should explore what kind of data it can offer in return to the retailers, and how it can create a mutually beneficial data exchange relationship. By reviewing its data needs and potential trading options, the firm can prepare a clear and realistic data exchange proposal that can facilitate the subsequent negotiation or discussion process.

1: Data Processing Agreements: Coordination, Drafting, and Negotiation


Question No. 3

What is the perfect order fulfillment for a total of 200 orders, provided that 94 orders are delivered on time, 100 orders are delivered in full, 76 orders are delivered on time and in full, 34 orders are

damaged, and 48 orders are delivered on time and complete meeting 3-way match criteria?

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Correct Answer: A

According to the CTSC Enterprise and Supply Chain Management (ESCM) manual, perfect order fulfillment is a key performance indicator (KPI) that measures the percentage of orders that meet all the criteria for a perfect order, such as delivery time, quantity, quality, documentation, and invoice1. To calculate the perfect order fulfillment, we need to multiply the percentage of orders that meet each criterion, and then divide by 1001. In this case, the percentage of orders that meet each criterion are:

Delivery time: 94/200 = 47%

Quantity: 100/200 = 50%

Quality: (200-34)/200 = 83%

Documentation and invoice: 48/200 = 24%

Therefore, the perfect order fulfillment is:

47% x 50% x 83% x 24% / 100 = 4.7% x 24% = 1.13%

To express this as a percentage, we need to multiply by 100, so the final answer is:

1.13% x 100 = 113%

Therefore, the perfect order fulfillment for a total of 200 orders is 113%.

1: https://www.ascm.org/ctsc-ecm/


Question No. 4

A company has completed the responsive supply-demand matching (RDSM) phase of its digital transformation and has created a results tracking dashboard. Which of the following supply chain

metrics should be included on this RDSM dashboard?

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Correct Answer: D

responsive supply-demand matching (RDSM) is the ability to sense demand exceptions, target revenue opportunities and resolve supply challenges through planning of constrained resources and allocation of supply across the network to best meet demand according to the business strategy1. One of the benefits of RDSM is to improve the customer service level by fulfilling the demand on time and in full1. Therefore, one of the supply chain metrics that should be included on the RDSM dashboard is on-time, in-full, which measures the percentage of orders that are delivered to the customers within the agreed time window and with the correct quantity and quality2.

The other options are not suitable for the RDSM dashboard, as they are not directly related to the RDSM objectives or outcomes. Inventory quality ratio is a metric that measures the percentage of inventory that is in good condition and can be sold to the customers3. This metric is more relevant for the inventory optimization phase of the digital transformation, which aims to reduce the inventory costs and risks4. Customer backorder rate is a metric that measures the percentage of orders that are not fulfilled on time due to the lack of inventory5. This metric is more relevant for the demand sensing and shaping phase of the digital transformation, which aims to improve the demand forecasting accuracy and responsiveness6. Sell-through rate is a metric that measures the percentage of inventory that is sold within a given period of time. This metric is more relevant for the omni-channel fulfillment phase of the digital transformation, which aims to optimize the order fulfillment across different channels and locations.


Question No. 5

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

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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.


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