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Peoplecert AIOps-Foundation 考試大綱：

主題	簡介
主題 1	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.
主題 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.
主題 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.
主題 4	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.
主題 5	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.
主題 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.
主題 7	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.

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最新的 PeopleCert DevOps AIOps-Foundation 免費考試真題 (Q36-Q41):

問題 #36
What can one use to track system status if applying SRE principles?

A. Number of alerts
B. Number of commits to a repo
C. Error budgets
D. User defect reports

答案：C

解題說明：
In Site Reliability Engineering (SRE), error budgets are a key metric for tracking system status and balancing reliability with the pace of innovation.
* Error Budgets: An error budget quantifies the acceptable level of system unreliability over a specific period. It represents the permissible amount of downtime or failures, allowing teams to make informed decisions about deploying new features versus focusing on system stability.
By monitoring error budgets, organizations can effectively manage trade-offs between releasing new functionalities and maintaining system reliability, a practice supported by the DevOps Institute's AIOps Foundation principles.

問題 #37
Targets of acceptable performance are defined in;

A. KPIs
B. SLOs
C. SLAs
D. SLIs

答案：B

解題說明：
Service Level Objectives (SLOs)define specific, measurable targets for acceptable performance of a service.
They are critical components ofService Level Agreements (SLAs), providing clear benchmarks for service reliability and availability. By setting SLOs, organizations can align operational performance with business goals and customer expectations. The DevOps Institute's AIOps Foundation course outlines how establishing and monitoring SLOs is essential for effective service management and how AIOps can assist in meeting these objectives through enhanced monitoring and predictive analytics.

問題 #38
Reactive Operations rely on:

A. Leading indicators
B. Lagging indicators
C. Prediction and inference
D. Big Data

答案：B

解題說明：
Reactive operations focus on responding to incidents after they have occurred, relying on lagging indicators- metrics that reflect past events or performance. These indicators, such as system downtime reports or post- incident analyses, provide insights into issues that have already impacted the system. While useful for understanding and addressing past problems, reliance solely on lagging indicators can lead to delayed responses and prolonged downtime. AIOps aims to shift operations from reactive to proactive by utilizing leading indicators and predictive analytics to anticipate and prevent issues before they occur.

問題 #39
The incident related metric MTTD means:

A. Mean Time to Deployment
B. Mean Time to Distribution
C. Mean Time to Delivery
D. Mean time to Detect

答案：D

解題說明：
Mean Time to Detect (MTTD)is an incident management metric that measures the average time taken to identify an issue within a system. A lower MTTD indicates a more responsive monitoring system, allowing for quicker remediation and minimizing potential impact. Improving MTTD is crucial for maintaining system reliability and performance. The DevOps Institute's AIOps Foundation course emphasizes the importance of MTTD in evaluating the effectiveness of IT operations and the implementation of AIOps solutions to enhance detection capabilities.

問題 #40
What is Step 1 in the AlOps Capability Scale?

A. Reduce MTTR through noise reduction
B. Automate toils using Al Insights
C. Use chaos engineering for antifragility
D. Add automation for self-healing

答案：A

解題說明：
In the AIOps Capability Scale,Step 1focuses on reducing Mean Time to Repair (MTTR) by minimizing alert noise. This initial phase involves implementing AIOps solutions to filter and correlate alerts, thereby decreasing the volume of irrelevant notifications. By reducing noise, IT teams can concentrate on critical issues, leading to faster incident resolution and improved system reliability. This foundational step sets the stage for more advanced AIOps capabilities.

問題 #41
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