FREE PDF 2025 AIOPS-FOUNDATION: DEVOPS INSTITUTE AIOPS FOUNDATION V1.0–EFFICIENT ONLINE LAB SIMULATION

Free PDF 2025 AIOps-Foundation: DevOps Institute AIOps Foundation V1.0–Efficient Online Lab Simulation

Free PDF 2025 AIOps-Foundation: DevOps Institute AIOps Foundation V1.0–Efficient Online Lab Simulation

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 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.
Topic 2
  • 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 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.
Topic 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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q34-Q39):

NEW QUESTION # 34
Which are core technologies used by an AlOps system?

  • A. Big Data
  • B. Automation
  • C. Machine Learning
  • D. All of the above

Answer: D

Explanation:
AIOps systems rely on a combination of technologies to achieve their goals:
* Big Data: Collects and processes vast amounts of operational data from diverse sources to ensure comprehensive analysis.
* Machine Learning (ML): Identifies patterns, anomalies, and trends within the data, enabling predictive capabilities.
* Automation: Ensures rapid and reliable responses to identified issues, enhancing efficiency and minimizing manual intervention.
The interplay of these technologies creates a cohesive system capable of dynamic, scalable, and intelligent IT operations.
As per DevOps Institute, the integration of these technologies underpins the core functionality and effectiveness of AIOps solutions.


NEW QUESTION # 35
The various key areas in a system work together in the following loop:

  • A. Audit, document and restore
  • B. Automate, iterate and fail fast
  • C. Observe, automate, act
  • D. Observe, engage, act

Answer: D

Explanation:
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.


NEW QUESTION # 36
Which are potential outcomes of an AlOps implementation?

  • A. Simplify operations
  • B. Reduce cost and eliminate waste
  • C. Continuously improve its value to the organization
  • D. All of the above

Answer: D

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 # 37
Reactive Operations rely on:

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

Answer: C

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 # 38
What does reliability mean?

  • A. The ability to be timely and easily maintained
  • B. The ability to not create harm
  • C. The ability to keep a functioning state
  • D. The ability to perform all desired functions

Answer: C

Explanation:
Reliability in IT operations refers to a system's ability to consistently perform its intended functions without failure. This involves maintaining a functioning state over time, ensuring that services are available and operating correctly as expected. In the context of AIOps, enhancing reliability is a key objective, achieved through proactive monitoring, predictive analytics, and automated remediation. By leveraging AIOps, organizations can detect potential issues before they impact users, thereby maintaining system reliability and improving overall service quality.


NEW QUESTION # 39
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