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Hot AIOps-Foundation Reliable Exam Labs 100% Pass | Reliable AIOps-Foundation Trustworthy Dumps: DevOps Institute AIOps Foundation V1.0

Hot AIOps-Foundation Reliable Exam Labs 100% Pass | Reliable AIOps-Foundation Trustworthy Dumps: DevOps Institute AIOps Foundation V1.0

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 1
  • Core Technologies: Machine Learning (ML): This section of the exam measures the skills of machine learning practitioners and covers the role of AI and machine learning in AIOps. It includes discussions on supervised versus unsupervised learning, differences between ML and analytics, and training models for practical applications. A vital skill evaluated is understanding how to apply machine learning techniques to enhance operational efficiency.
Topic 2
  • AIOps in the Organisation: This section of the exam measures the skills of organizational leaders and covers how AIOps can be integrated into existing frameworks. It discusses the impact of AIOps on DevOps practices, site reliability, security measures, and managing system complexity. A critical skill evaluated is recognizing the organizational changes required for successful AIOps implementation.
Topic 3
  • AIOps Use Cases and Organisational Mindset: This section of the exam measures the skills of the target audience and covers the challenges and opportunities associated with applying AIOps within organizations. It focuses on fostering an organizational mindset that embraces innovation through AIOps.
Topic 4
  • Core Technologies: Big Data: This section of the exam measures the skills of data engineers and covers an introduction to Big Data, including its definition, characteristics, and the Five V's (Volume, Velocity, Variety, Veracity, and Value). It also addresses various data sources and types relevant to AIOps. A key skill assessed is identifying different types of data utilized in AIOps environments.
Topic 5
  • Evaluating AIOps Impact: This section of the exam measures the skills of professionals and covers methods for measuring the effectiveness of AIOps deployments. It discusses how to assess potential benefits such as improved efficiency and reduced operational costs.
Topic 6
  • AIOps Fundamentals: This section of the exam measures the skills of IT operations professionals and covers the evolution of AIOps, differentiating it from IT Operations Analytics. It also explores the current stages of an AIOps system and its significance in modern IT environments. A key skill assessed is understanding the foundational concepts that drive AIOps adoption.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q26-Q31):

NEW QUESTION # 26
What is a key difference between ITOA and AlOps?

  • A. Need for Big Data as source of information
  • B. Related to IT Operations
  • C. Change from reactive to proactive
  • D. Can improve system resiliency

Answer: C

Explanation:
IT Operations Analytics (ITOA)focuses on gathering and analyzing data from IT systems to provide insights into operations. However, it is largely reactive in nature, dealing with problems after they have occurred.
AIOpsmoves beyond ITOA by employing AI and machine learning techniques to proactively identify potential issues, anomalies, and trends before they become critical, enabling a predictive and preventive approach.
The key differentiator is the shift"from reactive to proactive", which allows IT teams to address problems more effectively and reduce downtime.
DevOps Institute materials emphasize this transformation as foundational to AIOps adoption.


NEW QUESTION # 27
How should outcomes of an AlOps system be defined?

  • A. AlOps is a silver bullet that will increase resiliency overnight
  • B. Loosely and randomly
  • C. Realistically and aimed at gradual improvement
  • D. Not-deterministically

Answer: C

Explanation:
Defining outcomes for an AIOps system should be approachedrealistically, with a focus ongradual improvement. AIOps is not a quick fix; it requires careful planning, realistic goal-setting, and iterative enhancements. By setting achievable objectives and continuously refining processes, organizations can effectively integrate AIOps into their IT operations, leading to sustained improvements over time.


NEW QUESTION # 28
Which of the 5Vs is concerned with data quality, missing data or false positive alerts?

  • A. Veracity
  • B. Volume
  • C. Velocity
  • D. Value

Answer: A

Explanation:
Veracity refers to the quality and trustworthiness of data, addressing issues such as data accuracy, consistency, and the presence of noise or false positives. In the context of AIOps, ensuring high data veracity is essential for effective machine learning and analytics, as poor-quality data can lead to incorrect insights and suboptimal decision-making.
The AIOps Foundation course highlights the significance of data veracity in building reliable AI-driven IT operations.


NEW QUESTION # 29
Data that does not have a predefined structure or format and is usually in the form of text-heavy content is usually described as:

  • A. Semi-structured data
  • B. Unstructured data
  • C. Time-series data
  • D. Structured data

Answer: B

Explanation:
Unstructured data lacks a predefined structure or format and is often text-heavy, including documents, emails, social media posts, and multimedia content. Unlike structured data, which resides in fixed fields within databases, unstructured data does not fit neatly into relational databases. The DevOps Institute's AIOps Foundation course highlights the challenges and importance of processing unstructured data in IT operations, as it contains valuable insights that can enhance decision-making and operational efficiency.


NEW QUESTION # 30
How do SLAs relate To AlOps?

  • A. AlOps indicates which SLOs to define in an SLA
  • B. There is no relationship between AlOps and SLAs
  • C. AlOps automates the generation of SLA documentation
  • D. AlOps reduces the risk and improves SLA targets by overall improving IT Operations speed and capabilities.

Answer: D

Explanation:
Service Level Agreements (SLAs) define the expected performance and availability standards for IT services.
AIOps enhances the ability to meet and exceed these SLA targets by improving IT operations' speed and capabilities. Through the integration of big data analytics and machine learning, AIOps enables real-time monitoring, rapid issue detection, and automated responses, reducing downtime and enhancing service reliability. This proactive approach minimizes risks associated with SLA breaches and ensures that IT services consistently meet agreed-upon performance standards.


NEW QUESTION # 31
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