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Peoplecert AIOps-Foundation Exam Syllabus Topics:
Topic
Details
Topic 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.
Topic 2
- 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 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
- 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.
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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q13-Q18):
NEW QUESTION # 13
Which of the following is a characteristic of Machine Learning?
- A. Gradually improves accuracy through iterative optimization
- B. Requires explicit programming to learn
- C. Uses small amounts of historical data to generate accurate inferences or prediction
- D. A superset of Al
Answer: A
Explanation:
Machine Learning (ML) involves algorithms that learn from data and improve their performance over time through iterative optimization. Unlike traditional programming, where explicit instructions are coded, ML models identify patterns and make predictions based on historical data, refining their accuracy as they process more information.
The AIOps Foundation course covers core technologies of machine learning, emphasizing how these models enhance IT operations by automating tasks and providing predictive insights.
NEW QUESTION # 14
Discovering unexpected changes in system behavior or performance is satisfied by this use case:
- A. Root cause analysis
- B. Alert noise reduction
- C. Event correlation
- D. Anomaly detection
Answer: D
Explanation:
Anomaly detectionrefers to identifying unexpected changes or deviations in system behavior or performance.
This use case is essential for proactively detecting issues that may not have predefined patterns or signatures, enabling faster incident resolution.
The DevOps Institute's AIOps Foundation materials describe anomaly detection as a key feature of AIOps platforms to enhance monitoring capabilities.
NEW QUESTION # 15
Which are indicators of potential value to AlOps implementation?
- A. Difficulty in triaging and root cause analysis
- B. Upward trending number of alerts
- C. Poor alert quality with lots of noise
- D. All of the above
Answer: D
Explanation:
Indicators that suggest potential value in implementing AIOps include:
* Upward Trending Number of Alerts: An increasing volume of alerts can overwhelm IT teams, leading to alert fatigue and missed critical issues.
* Poor Alert Quality with Lots of Noise: High levels of false positives or irrelevant alerts can obscure genuine problems, reducing operational efficiency.
* Difficulty in Triaging and Root Cause Analysis: Challenges in quickly identifying and resolving the underlying causes of incidents can prolong downtime and impact service quality.
Implementing AIOps addresses these challenges by utilizing artificial intelligence and machine learning to enhance alert management, reduce noise, and streamline incident resolution, as outlined in the DevOps Institute's AIOps Foundation.
NEW QUESTION # 16
Reactive Operations rely on:
- A. Prediction and inference
- B. Big Data
- C. Leading indicators
- 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 # 17
What is an effective way for an AlOps system to provide visibility?
- A. With a pub/sub architecture
- B. Via email
- C. Using Slack or Teams
- D. Through dashboards and metrics
Answer: D
NEW QUESTION # 18
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