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最新更新的AIOps-Foundation新版題庫上線＆保證Peoplecert AIOps-Foundation考試成功與優質的AIOps-Foundation考試證照綜述
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Peoplecert AIOps-Foundation 考試大綱：
主題
簡介
主題 1
- 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.
主題 2
- 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.
主題 3
- 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.
主題 4
- 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.
>> AIOps-Foundation新版題庫上線 <<
AIOps-Foundation新版題庫上線＆認證成功保證，簡單的培訓方式和AIOps-Foundation考試證照綜述
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最新的 PeopleCert DevOps AIOps-Foundation 免費考試真題 (Q32-Q37):
問題 #32
A system that, given consistent input, may produce different outputs is called:
- A. Random
- B. Deterministic
- C. Probabilistic
- D. Algorithmic
答案：C
解題說明：
Aprobabilisticsystem is one that may produce different outputs even with consistent input, due to inherent randomness or probabilistic decision-making mechanisms.
This behavior contrasts with deterministic systems, which always produce the same output for the same input.
Probabilistic systems are common in AI/ML models, where outcomes are based on statistical probabilities and training data.
問題 #33
What impact on incident related metrics is the desired outcome from AlOps implementation?
- A. Decrease in MTTA. Decrease in MTTR and Decrease in MTBF
- B. Decrease in MTTA, Increase in MTTR and Decrease in MTBF
- C. Increase in MTTA, Increase in MTTR and Decrease in MTBF
- D. Decrease in MTTA. Decrease in MTTR and Increase in MTBF
答案：D
解題說明：
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.
問題 #34
Which of the MELT data types is specific to a microservices based system?
- A. Logs
- B. Metrics
- C. Traces
- D. Events
答案：C
解題說明：
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.
問題 #35
Which of the following technologies is deterministic?
- A. Machine Learning
- B. Neural networks
- C. Artificial Intelligence
- D. Analytics
答案：D
解題說明：
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.
問題 #36
With AlOps, offering aggressive SLAs results in:
- A. Increased risk
- B. There is no relation
- C. No change to risk
- D. Decreased risk
答案：A
解題說明：
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.
問題 #37
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AIOps-Foundation考試證照綜述: https://www.kaoguti.com/AIOps-Foundation_exam-pdf.html
