AIOPS-FOUNDATION RELIABLE DUMPS SHEET - NEW AIOPS-FOUNDATION EXAM PRACTICE

AIOps-Foundation Reliable Dumps Sheet - New AIOps-Foundation Exam Practice

AIOps-Foundation Reliable Dumps Sheet - New AIOps-Foundation Exam Practice

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • AIOps and Operations Metrics: This section of the exam measures the skills of performance analysts and covers industry-standard metrics used to quantify the outcomes of implementing AIOps solutions.
Topic 5
  • 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.
Topic 6
  • Implementing AIOps: This section of the exam measures the skills of project managers and covers challenges, trends, and ethical considerations organizations may face when deploying an AIOps initiative. It emphasizes strategic planning for successful implementation while addressing potential risks.
Topic 7
  • 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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q19-Q24):

NEW QUESTION # 19
How should an AlOps strategy be handled?

  • A. Focused on the needs of a specific team
  • B. With C Suite approval only
  • C. With clear documentation and buy-in from all stakeholders
  • D. No strategy is necessary

Answer: C

Explanation:
An effective AIOps strategy should be developedwith clear documentationandbuy-in from all stakeholders
. Comprehensive documentation ensures that the strategy is well-understood, while stakeholder engagement fosters collaboration and support across the organization. This inclusive approach facilitates successful implementation and alignment with organizational goals.


NEW QUESTION # 20
With AlOps, offering aggressive SLAs results in:

  • A. There is no relation
  • B. No change to risk
  • C. Increased risk
  • D. Decreased risk

Answer: C

Explanation:
Offering aggressive Service Level Agreements (SLAs) with AIOps can lead to increased risk if the organization lacks the necessary infrastructure and processes to meet these stringent targets. Unrealistic SLAs may result in overcommitment, leading to potential service breaches, customer dissatisfaction, and reputational damage. It's essential to set achievable SLAs that align with the organization's capabilities, even when leveraging advanced tools like AIOps.


NEW QUESTION # 21
What is an effective way for an AlOps system to provide visibility?

  • A. With a pub/sub architecture
  • B. Through dashboards and metrics
  • C. Via email
  • D. Using Slack or Teams

Answer: B

Explanation:
An effective AIOps system provides visibility into IT operations through comprehensive dashboards and metrics. These tools offer real-time insights into system performance, health, and anomalies, enabling IT teams to monitor operations proactively. Dashboards consolidate data from various sources, presenting it in an accessible format, while metrics track key performance indicators essential for informed decision-making.


NEW QUESTION # 22
Which of the following technologies is deterministic?

  • A. Machine Learning
  • B. Neural networks
  • C. Analytics
  • D. Artificial Intelligence

Answer: C

Explanation:
Deterministic technologies operate with predictable outcomes based on specific inputs. Analytics is a deterministic process, as it involves the systematic analysis of data to produce consistent and repeatable results. Given the same data set and analytical methods, analytics will yield the same conclusions, making it a deterministic approach. In contrast, technologies like machine learning, artificial intelligence, and neural networks are probabilistic, as they involve learning from data and making inferences that may vary with different inputs or training processes.


NEW QUESTION # 23
How do SLAs relate To AlOps?

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

Answer: B

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 # 24
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