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Peoplecert AIOps-Foundation Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 2
- 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 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
- 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 5
- 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.
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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q28-Q33):
NEW QUESTION # 28
Which are potential outcomes of an AlOps implementation?
- A. Simplify operations
- B. Continuously improve its value to the organization
- C. All of the above
- D. Reduce cost and eliminate waste
Answer: C
Explanation:
Potential outcomes of AIOps implementation include:
* Simplifying operationsby automating routine tasks and reducing manual intervention.
* Reducing costs and eliminating wastethrough better resource utilization and operational efficiency.
* Continuous improvementof its value to the organization by enabling proactive, data-driven decisions.
The DevOps Institute emphasizes these benefits as the primary drivers for adopting AIOps in IT operations.
NEW QUESTION # 29
Reactive Operations rely on:
- A. Big Data
- B. Leading indicators
- C. Prediction and inference
- D. Lagging indicators
Answer: D
Explanation:
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.
NEW QUESTION # 30
Which of the following technologies is deterministic?
- A. Machine Learning
- B. Neural networks
- C. Artificial Intelligence
- D. Analytics
Answer: D
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 # 31
Which of the MELT data types is specific to a microservices based system?
- A. Traces
- B. Events
- C. Metrics
- D. Logs
Answer: A
Explanation:
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.
NEW QUESTION # 32
Targets of acceptable performance are defined in;
- A. SLAs
- B. SLIs
- C. SLOs
- D. KPIs
Answer: C
Explanation:
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.
NEW QUESTION # 33
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