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CIPS L6M7 Exam Syllabus Topics:

Topic
Details

Topic 1

• Understand data integrity and its impact on procurement and supply: Targeting IT Security Officers, this section focuses on ensuring that all collected information remains accurate (data integrity) while maintaining confidentiality through legal frameworks like GDPR. It assesses strategies for managing disruptions, such as system redundancy.

Topic 2

• Understand the concept of big data in the global supply chain: This section of the exam measures the skills of Supply Chain Managers and covers understanding big data's role in enhancing supply chain operations. It evaluates how big data transforms procurement and supply functions by leveraging large volumes of diverse data, focusing on skills like "Data Trend Analysis.

Topic 3

• Understand the impact of cyber security on procurement and supply: This part targets Cybersecurity Experts, exploring how cyber threats affect supply chains by compromising sensitive information through vulnerabilities in software or networks. It involves evaluating technologies to secure systems effectively, emphasizing "Secure Data Transmission.

 

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CIPS Commercial Data Management Sample Questions (Q79-Q84):

NEW QUESTION # 79
Which of the following are benefits of using smart sensors in a manufacturing factory? Select ALL that apply.

• A. Providing data that can monitor machine performance
• B. Informing on forecasting
• C. Facilitating automated stock replenishment
• D. Tracking workers around the site

Answer: A,B,C,D

Explanation:
All options are correct. Smart sensors help in worker tracking, machine monitoring, forecasting, and stock control.

 

NEW QUESTION # 80
Which of the following would be considered personal data? Select ALL that apply

• A. A child's Date of Birth
• B. The average age of customers in a retail store
• C. An employee's work ID number
• D. The time that someone drove into a carpark

Answer: A,C

Explanation:
Personal data is anything that can be used to identify someone, so options A and D are correct. Examples of personal data include any form of ID number, addresses, dates of birth, bank details, DNA, or medical information. Option B is incorrect because it's an average age, not a person's age. Option C is incorrect because you can't identify someone from the time they entered a car park. P.120 Domain: 2.3

 

NEW QUESTION # 81
Arnold Park is the UK's leading second-hand car retailer. Customers can purchase cars either at a retail outlet or online. Since the cost of purchase is generally high for the average customer, Arnold Park offers various payment options, including loans.
Arnold Park collects many different types of data on cars and its customers. Which of the following is it most likely to get from a third-party data provider?

• A. Credit ratings
• B. Most popular makes and models
• C. Customer satisfaction scores
• D. Average cost of a car in 2019

Answer: A

Explanation:
Credit ratings are obtained from third-party financial institutions, as Arnold Park does not have direct access to this information. The other options relate to data that Arnold Park can collect internally.

 

NEW QUESTION # 82
Which of the following uses data with more than three dimensions?

• A. Hierarchy
• B. Array
• C. Data cube
• D. Taxonomy

Answer: C

Explanation:
Data Cube is the correct answer. It sounds wrong because a cube has three dimensions, but in the world of data, a data cube has more than three dimensions. Taxonomy is a way of organizing two-dimensional data. An array is single-dimensional data. Hierarchy is just there to distract and does not relate to data in this context.

 

NEW QUESTION # 83
Below are details of 5 companies that use Big Dat
a. Each company has a different type of data and applies different quality checks to ensure its accuracy.
Instructions:
Drag and drop the correct Data Type and Quality Check into the table for each company. Some options may not be used.

Answer:

Explanation:

 

NEW QUESTION # 84
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