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[Hardware] 100% Pass CITM - EXIN EPI Certified Information Technology Manager Useful Study

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【Hardware】 100% Pass CITM - EXIN EPI Certified Information Technology Manager Useful Study

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EXIN CITM Exam Syllabus Topics:
TopicDetails
Topic 1
  • Business Continuity Management: This section measures the skills of a Business Continuity Manager and covers planning and implementing strategies to ensure IT availability and resilience during disruptions. It includes risk assessment, disaster recovery planning, backup procedures, and testing to minimize business impact.
Topic 2
  • Risk Management: This domain evaluates the capabilities of an IT Risk Manager and involves identifying, assessing, and mitigating IT-related risks. It addresses developing risk frameworks, compliance management, and proactive measures to safeguard IT assets and operations.
Topic 3
  • Project Management: This domain is aimed at an IT Project Manager and encompasses planning, executing, and controlling IT projects. It includes managing scope, time, cost, quality, and risks, applying project methodologies, engaging stakeholders, and delivering projects that meet business requirements.
Topic 4
  • Application Management: This section of the exam evaluates an Application Manager’s skills in overseeing the lifecycle of IT applications. It covers application development support, maintenance, upgrades, user support, and ensuring that applications meet functional and performance standards aligned with business needs.
Topic 5
  • IT Organization: This domain targets an IT Operations Manager and focuses on the design and management of IT organizational structures. It includes defining roles and responsibilities, establishing governance frameworks, managing resources effectively, and fostering collaboration to support IT service delivery and business needs.
Topic 6
  • IT Strategy: This section of the exam measures the skills of an IT Strategy Manager and covers the development and alignment of IT strategy with business objectives. It emphasizes creating strategic plans to support organizational goals, understanding emerging technologies, and ensuring that IT investments contribute to competitive advantage and operational efficiency.
Topic 7
  • Vendor Selection
  • Management: This section measures the expertise of a Vendor Manager and covers the process of selecting and managing third-party providers. It addresses evaluating vendor capabilities, negotiating contracts, monitoring performance, and maintaining productive relationships to ensure service quality and value.

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EXIN EPI Certified Information Technology Manager Sample Questions (Q22-Q27):NEW QUESTION # 22
Senior management suspects possible threats in the IT organization and demands a high-level assessment which will list risks identified in order of priority for treatment. Which type of analysis should be conducted?
  • A. Semi-quantitative analysis
  • B. Ad hoc analysis
  • C. Qualitative analysis
  • D. Quantitative analysis
Answer: C
Explanation:
Ahigh-level assessmentto list risks in order of priority for treatment is best conducted usingqualitative analysis(D). According toISO 31000, qualitative risk analysis assesses risks based on their likelihood and impact using non-numerical methods (e.g., risk matrices, high/medium/low ratings). This approach is suitable for high-level assessments, as it quickly prioritizes risks without requiring detailed quantitative data, aligning with senior management's needs for a prioritized risk list.
* Quantitative analysis (A):Uses numerical data (e.g., cost estimates, probabilities) for detailed analysis, not ideal for high-level overviews.
* Semi-quantitative analysis (B):Combines qualitative and quantitative methods, but is more detailed than needed for a high-level assessment.
* Ad hoc analysis (C):Not a standard risk analysis method; implies informal analysis, unsuitable for structured prioritization.
Reference:EPI CITM study guide, under Risk Management, likely references ISO 31000's qualitative risk analysis for high-level assessments. Check sections on risk assessment or prioritization.

NEW QUESTION # 23
The new social media platform is multi-media supported and will generate a large volume of raw data. The marketing department has a need for advanced analysis of this data. Which data management technology applies best?
  • A. Big Data Analysis
  • B. Online Analytical Processing (OLAP)
  • C. Master Data Management (MDM)
  • D. Digital Asset Management (DAM)
Answer: A
Explanation:
The scenario describes a social media platform generating alarge volume of raw data(e.g., user interactions, multimedia content) and a need foradvanced analysisby the marketing department.Big Data Analysis(D) is the best technology, as it handles large, unstructured datasets and uses advanced techniques (e.g., machine learning, predictive analytics) to derive insights, such as user behavior or campaign effectiveness.
* Master Data Management (MDM) (A):Focuses on managing core business data (e.g., customer records) for consistency, not analyzing large raw datasets.
* Digital Asset Management (DAM) (B):Manages multimedia assets (e.g., images, videos) for storage and retrieval, not advanced analysis.
* Online Analytical Processing (OLAP) (C):Supports multidimensional analysis of structured data but is less suited for unstructured, large-scale social media data compared to big data tools.
Big Data Analysis aligns withIT strategyfor leveraging large datasets to drive business value, as per modern data management frameworks.
Reference:EPI CITM study guide, under IT Strategy, likely discusses data management technologies, emphasizing big data for advanced analytics. Refer to sections on data analytics or emerging technologies.

NEW QUESTION # 24
A technical team investigating possible controls concludes that the most preferred control cannot be implemented as a result of too many constraints and decides to propose the second-best control. How is this control being referred to?
  • A. Compensating control
  • B. Deterrent
  • C. Corrective control
  • D. Detective control
Answer: A
Explanation:
Acompensating controlis an alternative control implemented when the preferred control cannot be applied due to constraints (e.g., technical, financial, or operational). According to frameworks likeCOBITorISO/IEC
27001, compensating controls provide equivalent or partial risk mitigation when the primary control is infeasible.
Deterrent controls (A) discourage violations, detective controls (C) identify incidents, and corrective controls (D) address issues after they occur. Only compensating control (B) fits the scenario of a second-best alternative due to constraints.
Reference:EPI CITM study guide, under Information Security Management, likely discusses control types, referencing compensating controls in risk management frameworks. Refer to sections on security controls or risk mitigation.

NEW QUESTION # 25
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?
  • A. Reinforcement learning
  • B. Unsupervised
  • C. Deep learning
  • D. Supervised
Answer: D
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 # 26
Due to technical and operational constraints, the preferred control to lower the risks identified is to outsource part of IT operations to an external vendor. What type of risk treatment is applied here?
  • A. Retention
  • B. Transferred
  • C. Sharing
  • D. Modification
Answer: B
Explanation:
Outsourcing IT operations to an external vendor is a form ofrisk transfer(C), where the responsibility for managing certain risks (e.g., operational or technical risks) is shifted to the vendor. According toISO 31000, risk treatment strategies include transferring risk to a third party, often through contracts or outsourcing agreements, where the vendor assumes responsibility for mitigating specific risks.
* Sharing (A):Involves distributing risk among multiple parties, not fully transferring it to one.
* Retention (B):Means accepting the risk without mitigation, not applicable here.
* Modification (D):Refers to changing processes or controls to reduce risk, not outsourcing.
Reference:EPI CITM study guide, under Risk Management, likely references ISO 31000's risk treatment strategies, including risk transfer. Check sections on risk treatment or outsourcing.

NEW QUESTION # 27
......
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