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EXIN EPI Certified Information Technology Manager Sample Questions (Q39-Q44):
NEW QUESTION # 39
Whilst creating the IT service catalog, a needs analysis is conducted. One of the items discussed is the data points required for the IT services. What is the objective of these data points?
Answer: C
Explanation:
InITIL's service catalog management, data points required for IT services are used tomeasure the performance of IT services delivered(A). These data points (e.g., uptime, response times, incident resolution rates) enable the IT provider to monitor and report on service quality, ensuring alignment with service level agreements (SLAs) and customer expectations. A needs analysis identifies key performance indicators (KPIs) to track service effectiveness.
* Identify data used by the customer (B):Focuses on customer data usage, not service performance.
* Determine life expectancy (C):Relates to service lifecycle planning, not data points.
* Establish operating hours (D):Operating hours are a service attribute, not the primary purpose of data points.
Reference:EPI CITM study guide, under Service Management, likely references ITIL's service catalog management, emphasizing KPIs for performance measurement. Check sections on service catalog or performance metrics.
NEW QUESTION # 40
Before the marketing department will decide on a new advertising campaign, it wants to be able to gain more insights into the customer, being able to predict the products customers will purchase in the near future. What is a 'must-have' criterion in terms of the technology the marketing department is interested in?
Answer: C
Explanation:
To predict future customer purchases, the marketing department requiresadvanced analytics(B), which involves sophisticated data analysis techniques, such as predictive modeling, machine learning, and data mining. These technologies enable the department to analyze customer behavior, identify patterns, and forecast purchasing trends, supporting targeted advertising campaigns.
* Records Management System (RMS) (A):Focuses on managing and storing records, not predictive analysis.
* Ad hoc analysis (C):Allows for on-demand, one-off queries but lacks the predictive capabilities of advanced analytics.
* Business Intelligence (BI) (D):Provides reporting and historical data analysis but is less focused on predictive modeling compared to advanced analytics.
Advanced analytics aligns withIT strategygoals of leveraging data for competitive advantage, as it supports predictive insights critical for marketing decisions.
Reference:EPI CITM study guide, under IT Strategy, likely discusses data-driven technologies like advanced analytics for business decision-making. Refer to sections on emerging technologies or data analytics.
NEW QUESTION # 41
The organization's online retail system popularity has resulted in global demand. To provide customers with a
24x7 option for support in regard to returning products, a virtual assistant is designed providing simple instructions based on pre-defined questions which are commonly asked by customers. Which type of Machine Learning (ML) is applied?
Answer: B
Explanation:
The scenario describes a virtual assistant designed to provide simple instructions for product returns based on pre-defined questionscommonly asked by customers. This indicates the use ofsupervised machine learning (B), where the system is trained on a labeled dataset (e.g., questions paired with correct responses) to predict appropriate answers. Supervised learning is ideal for applications like chatbots or virtual assistants that rely on predefined input-output pairs to handle customer queries efficiently.
* Unsupervised (A):Involves finding patterns in unlabeled data (e.g., clustering), not suitable for predefined question-response tasks.
* Reinforcement learning (C):Focuses on learning through trial and error with rewards, used in dynamic environments (e.g., robotics), not for static question answering.
* Deep learning (D):A subset of supervised or unsupervised learning using neural networks, but the question doesn't specify complex architectures, making supervised learning the broader, correct choice.
Supervised learning aligns withIT strategyfor deploying AI-driven customer support tools, as it ensures accurate, predictable responses based on trained data, enhancing user experience in a global retail system.
Reference:EPI CITM study guide, under IT Strategy, likely discusses emerging technologies like AI and machine learning, emphasizing supervised learning for customer-facing applications. Refer to sections on artificial intelligence or customer support technologies.
NEW QUESTION # 42
The introduction of a security awareness program has resulted in a quick decrease in security incidents. Eight months later, security incidents are showing a sudden increase, and the blame is put on a non-functioning security awareness program. What is most likely the cause?
Answer: B
Explanation:
Security awareness programs require ongoing engagement to remain effective. If security incidents decrease initially but increase after eight months, the most likely cause is thatmessage materials are few and static, and renewal is not taking place(C). Static content becomes outdated or ignored over time, reducing its impact. Regular updates, new campaigns, and varied delivery methods (e.g., videos, quizzes) are essential to maintain employee awareness and adapt to evolving threats, as perISO/IEC 27001orNISTsecurity awareness guidelines.
* Insufficient budget (A):While budget constraints could limit program scope, there's no evidence in the scenario to suggest this is the primary issue.
* Scope too narrow (B):A narrow scope might limit effectiveness initially, but the initial success suggests the scope was adequate; the issue is sustaining engagement.
* Lack of resources for instructor-led sessions (D):Instructor-led sessions are one delivery method, but the core issue is likely outdated content rather than delivery format.
Reference:EPI CITM study guide, under Information Security Management, likely discusses security awareness program maintenance, emphasizing the need for regular content updates. Refer to sections on security awareness or human factors in security.
NEW QUESTION # 43
Activities in a project are discussed in a Work Breakdown Structure (WBS) session during the planning phase. Team members inform the project manager that whilst estimating the duration for activities, a lot of data exist about the effort required for each of them. Which estimation technique is best considered?
Answer: D
Explanation:
When a lot of data exist about the effort required for project activities, thebottom-upestimation technique (D) is most appropriate. This method involves estimating the effort for each task in theWork Breakdown Structure (WBS)individually, then aggregating them to derive the total project duration or cost. It leverages detailed data for accuracy, as perPMBOK's estimation techniques.
* Top-down (A):Uses high-level estimates based on historical data or expert judgment, less accurate with detailed task data available.
* Three-point (B):Uses optimistic, pessimistic, and most likely estimates for uncertainty, but is less focused on leveraging detailed effort data.
* Comparative (C):Likely refers to analogous estimation, which relies on comparisons to past projects, not detailed task data.
Bottom-up estimation is ideal when detailed effort data is available, ensuring precision in project planning.
Reference:EPI CITM study guide, under Project Management, likely covers PMBOK's estimation techniques, emphasizing bottom-up for detailed data scenarios. Refer to sections on project planning or cost
/duration estimation.
NEW QUESTION # 44
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