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AIOps-Foundation시험대비최신덤프공부자료최신인증시험기출자료
지금 사회에 능력자들은 아주 많습니다.it인재들도 더욱더 많아지고 있습니다.많은 it인사들은 모두 관연 it인증시험에 참가하여 자격증취득을 합니다.자기만의 자리를 확실히 지키고 더 높은 자리에 오르자면 필요한 스펙이니까요.AIOps-Foundation시험은Peoplecert인증의 중요한 시험이고 또 많은 it인사들은Peoplecert자격증을 취득하려고 노력하고 있습니다.
Peoplecert AIOps-Foundation 시험요강:
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>> AIOps-Foundation시험대비 최신 덤프공부자료 <<
시험패스 가능한 AIOps-Foundation시험대비 최신 덤프공부자료 최신버전 덤프데모 문제 다운
Peoplecert인증사에서 주췌하는 AIOps-Foundation시험은 IT업계에 종사하는 분이시라면 모두 패스하여 자격증을 취득하고 싶으리라 믿습니다. ITDumpsKR에서는 여러분이 IT인증자격증을 편하게 취득할수 있게 도와드리는 IT자격증시험대비시험자료를 제공해드리는 전문 사이트입니다. ITDumpsKR덤프로 자격증취득의 꿈을 이루세요.
최신 PeopleCert DevOps AIOps-Foundation 무료샘플문제 (Q24-Q29):
질문 # 24
The various key areas in a system work together in the following loop:
- A. Observe, engage, act
- B. Observe, automate, act
- C. Audit, document and restore
- D. Automate, iterate and fail fast
정답:A
설명:
In the context of AIOps, the system operates through a continuous loop comprising three key stages:
* Observe: This initial phase involves monitoring and collecting data from various IT environments. By gathering metrics, logs, and events, the system gains visibility into its operations, enabling the detection of anomalies or performance issues.
* Engage: Once data is collected, this stage focuses on analyzing and correlating the information to identify patterns or issues. Engagement involves applying machine learning algorithms and analytics to interpret the observed data, facilitating informed decision-making.
* Act: Based on the insights derived from the engagement phase, the system takes appropriate actions to resolve identified issues or optimize performance. This may include automated responses such as scaling resources, restarting services, or alerting IT personnel for further investigation.
This cyclical process ensures that IT operations are continuously monitored, analyzed, and improved, aligning with the principles outlined in the DevOps Institute's AIOps Foundation.
질문 # 25
Which of the MELT data types is specific to a microservices based system?
- A. Logs
- B. Metrics
- C. Events
- D. Traces
정답:D
설명:
In microservices-based systems, "Traces" are a specific MELT (Metrics, Events, Logs, Traces) data type.
Traces track the flow of requests through various services, providing visibility into the interactions and performance of microservices. This tracing is crucial for diagnosing issues, understanding system behavior, and optimizing performance in complex, distributed environments. The DevOps Institute's AIOps Foundation course emphasizes the role of traces in observability practices, enabling teams to monitor and improve microservices architectures effectively.
For more detailed information, refer to the DevOps Institute's AIOps Foundation course materials.
질문 # 26
What is an effective way for an AlOps system to provide visibility?
- A. Using Slack or Teams
- B. Through dashboards and metrics
- C. Via email
- D. With a pub/sub architecture
정답:B
설명:
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.
질문 # 27
Which is the MOST pressing reason IT professionals look to become effective in operating systems?
- A. Constantly changing IT Landscape
- B. Increasingly demanding user expectations
- C. Risk to reductions in force
- D. Mergers and Acquisitions
정답:B
설명:
IT professionals strive to become more effective in operating systems primarily due to increasingly demanding user expectations. Users today expect seamless, high-performing, and reliable digital experiences.
To meet these expectations, IT operations must adopt advanced tools and methodologies, such as AIOps, to enhance system performance, ensure uptime, and quickly resolve issues. By implementing AIOps, organizations can proactively manage IT operations, anticipate user needs, and deliver superior service quality, thereby meeting the high expectations of modern users.
In today's rapidly evolving digital landscape, IT professionals face numerous challenges that necessitate proficiency in operating systems. Among these challenges, the most pressing reason is theincreasingly demanding user expectations.
Understanding User Expectations:
Users today expect seamless, efficient, and uninterrupted digital experiences. This expectation spans across various platforms and services, including web applications, mobile apps, and enterprise software. Any downtime, lag, or inefficiency can lead to user dissatisfaction, potentially resulting in loss of business and reputation.
Impact on IT Operations:
To meet these high expectations, IT professionals must:
* Ensure System Reliability:Maintain consistent uptime and quickly address any system failures.
* Optimize Performance:Continuously monitor and enhance system performance to provide fast and responsive user experiences.
* Implement Robust Security Measures:Protect user data and ensure privacy to build and maintain trust.
Role of AIOps in Addressing User Expectations:
Artificial Intelligence for IT Operations (AIOps) plays a pivotal role in enabling IT professionals to meet and exceed user expectations. By leveraging AIOps, organizations can:
* Automate Monitoring and Incident Response:Utilize machine learning algorithms to detect anomalies and address issues proactively, minimizing downtime and enhancing user satisfaction.
* Predict and Prevent Potential Issues:Analyze historical data to forecast potential system failures and implement preventive measures.
* Optimize Resource Allocation:Ensure that system resources are efficiently utilized to handle varying user loads without compromising performance.
Supporting References from DevOps Institute AIOps Foundation:
The DevOps Institute's AIOps Foundation course emphasizes the importance of meeting user expectations in modern IT operations. It highlights how AIOps enables organizations to manage complex IT infrastructures by leveraging AI and machine learning for better business outcomes. This includesimproving operations performance, providing real-time insights, and enabling proactive monitoring and predictive analytics.
Furthermore, the course discusses how digital transformation and the evolution of machine learning have brought about the rise of AIOps as an indispensable tool in today's IT operational landscape. By understanding and implementing AIOps, IT professionals can effectively address the challenges posed by increasingly demanding user expectations.
In conclusion, while factors like a constantly changing IT landscape, risk of reductions in force, and mergers and acquisitions are significant, the most pressing reason for IT professionals to become effective in operating systems is to meet the increasingly demanding user expectations. Proficiency in operating systems, enhanced by AIOps, equips IT professionals to deliver the reliability, performance, and security that users demand.
질문 # 28
What impact on incident related metrics is the desired outcome from AlOps implementation?
- A. Increase in MTTA, Increase in MTTR and Decrease in MTBF
- B. Decrease in MTTA. Decrease in MTTR and Decrease in MTBF
- C. Decrease in MTTA. Decrease in MTTR and Increase in MTBF
- D. Decrease in MTTA, Increase in MTTR and Decrease in MTBF
정답:C
설명:
AIOps aims to improve incident-related metrics by:
* Decreasing Mean Time to Acknowledge (MTTA): Faster detection and acknowledgment of issues.
* Decreasing Mean Time to Resolve (MTTR): Quicker resolution through automation and actionable insights.
* Increasing Mean Time Between Failures (MTBF): Enhanced system reliability and reduced frequency of failures.
These improvements lead to more reliable IT operations, as highlighted in the DevOps Institute's AIOps Foundation course.
질문 # 29
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