Which of the following collaboration mechanisms involves the establishment of long-term relationships with partners to improve the overall efficiency and effectiveness of the supply chain?
Answer(s): B
According to the ASCM CTSC Exam Content Manual, CPFR is a collaboration mechanism that involves the establishment of long-term relationships with partners to improve the overall efficiency and effectiveness of the supply chain. CPFR is defined as "a business practice that combines the intelligence of multiple trading partners in the planning and fulfillment of customer demand"1. CPFR enables partners to share information, align plans, and synchronize activities across the supply chain, resulting in reduced inventories, improved service levels, and increased sales23.1: ASCM CTSC Exam Content Manual, page 8. 2: Six steps to successful supply chain collaboration | McKinsey 3: Supply Chain Collaboration: Meaning, Importance, Features & Impact | GEP Blog
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?
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
Creating a replica of a real process, product, or service in order to create a virtual representation is called a digital:
Answer(s): A
a digital twin is a virtual representation of a real-world object or system. These virtual models are used to digitally represent performance, identify inefficiencies, and design solutions to improve their physical counterparts. A digital twin is a digital model designed to accurately reflect a physical object. The object being studied--for example, a wind turbine--is outfitted with various sensors related to vital areas of functionality. These sensors produce data about different aspects of the physical object's performance, such as energy output, temperature, weather conditions and more. This data is then relayed to a processing system and applied to the digital copy. Once informed with such data, the virtual model can be used to run simulations, study performance issues and generate possible improvements, all with the goal of generating valuable insights--which can then be applied back to the original physical object. A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is an encapsulated software object or model that mirrors a unique physical object, process, organization, person or other abstraction.
An organization studying its strategic environment for establishing the scope of its supply chain transformation project must first create a:
Answer(s): D
According to the ASCM CTSC Exam Content Manual, a business issue repository is a tool that helps an organization to study its strategic environment for establishing the scope of its supply chain transformation project. A business issue repository is defined as "a collection of business issues that are identified and prioritized by the organization's leadership team and other key stakeholders"1. A business issue repository helps to align the supply chain transformation objectives with the organization's vision, mission, and strategy, and to identify the gaps and opportunities for improvement in the current supply chain performance1. A business issue repository also helps to communicate the rationale and benefits of the transformation to the internal and external stakeholders, and to monitor and measure the progress and outcomes of the transformation1.1: ASCM CTSC Exam Content Manual, page 14.
The most prominent characteristic of a digital supply chain is:
one of the most prominent characteristics of a digital supply chain is the access to latest point-of- sale (POS) data across the network. POS data refers to the information collected by retailers at the point of purchase, such as the product, quantity, price, date, time, and location of the transaction3. Access to this data enables digital supply chains to have real-time visibility of customer demand, inventory levels, and market trends, and to use advanced analytics and artificial intelligence to optimize planning, forecasting, replenishment, and delivery12. Access to POS data also helps digital supply chains to improve customer satisfaction, reduce costs, increase sales, and enhance collaboration among supply chain partners12.
Share your comments for APICS CTSC exam with other users:
Question 1:The best solution is A: Configure a SetupComplete.cmd batch file in the %windir%\setup\scripts directory. Why this is correct:
SetupComplete.cmd
%windir%\setup\scripts
Question 9:Question 9 asks about how GitHub Copilot identifies public code matches when the public code filter is on.
Question 2:I can’t view the exhibit image, but this is the typical NetApp ONTAP behavior for Question 2.
Question 23:Question 23 describes a multimodal model where users can upload unsafe images that could contain hidden instructions. The goal is to implement controls to mitigate this risk. Key points to understand
beautiful exams
You need to implement the date dimension in the data store. The solution must meet the technical requirements. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Populate the date dimension table by using a dataflow. Populate the date dimension table by using a Copy activity in a pipeline. Populate the date dimension view by using T-SQL. Populate the date dimension table by using a Stored procedure activity in a pipeline.Please answer
Question 14:
Question 5:Question 5 asks how to identify min and max values for each column in a Dataflow result. Correct options: B and E.
Question 18:Question 18: Why not A?
Question 4:Question 4 is about when to use batch processing.
Question 5:I can’t see the [Image] in Question 5, but I can explain the likely reasoning.
Question 12:Here’s why Question 12’s correct choices are C and D.
Question 3:Question 3 asks for two valid ways to meet the purchase order creation validation (warn if the vendor is on the exclusion list for the customer/product and block/alert accordingly). Correct answers: C and D
Question 12:Here’s how to understand question 12.
Question 6:Here’s how question 6 works. Key constraint: All new and extended objects must be in an existing model named FinanceExt. Creating a brand-new model is not allowed. Why the two correct options work:
Question 2:I don’t have the text for Question 2 here. Please paste the exact Question 2 (including all answer choices) or describe the topic it covers. Once I have it, I’ll:
Which statement is true about using default environment variables? The environment variables can be read in workflows using the ENV: variable_name syntax. The environment variables created should be prefixed with GITHUB_ to ensure they can be accessed in workflows The environment variables can be set in the defaults: sections of the workflow The GITHUB_WORKSPACE environment variable should be used to access files from within the runner.Correct answer: The statement "The GITHUB_WORKSPACE environment variable should be used to access files from within the runner." is true. Why the others are false:
${{ env.VARIABLE }}
$VARIABLE
GITHUB_
defaults:
run
GITHUB_WORKSPACE
${{ github.workspace }}
$GITHUB_WORKSPACE/...
${{ github.workspace }}/...
As an administrator for this subscription, you have been tasked with recommending a solution that prohibits users from copying corporate information from managed applications installed on unmanaged devices. Which of the following should you recommend? Windows Virtual Desktop. Microsoft Intune. Windows AutoPilot. Azure AD Application Proxy.
Question 34:
Policy
function of appnav in sdwan
Question 1:
Question 5:
Why this is correct
Question 7:
Question 104:
clustering keys
Q23: Fabric Admin is correct. Because Domain admin cannot create domains. Only Fabric Admin can among the given options. Q51: Wrapping @pipeline.parameter.param1 inside {} will return a string. But question requires the expression to return Int, so correct answer should be @pipeline.parameter.param1 (no {})
Question 62:
ZDX
Analyze Score
Y Engine
Question 32:
Question 3:
date = sys.argv[1]
sys.argv[1]
date = spark.conf.get("date")
input()
date = dbutils.notebooks.getParam("date")
dbutils.notebook.run
Question 528:
Question 23:The correct answer is Domain admin (option B), not Fabric admin.
Question 2:For question 2, the key concept is the Longest Prefix Match. Routers pick the route whose subnet mask is the most specific (largest prefix length) that still matches the destination IP. From the options:
Keeping this site free takes real effort. We constantly battle automated scraping and unauthorized content copying. A quick account helps us protect the community and keep the site free.
To continue studying for your CTSC, please sign in or create a free account.