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Peoplecert AIOps-Foundation Exam Questions [2025]

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

Topic
Details

Topic 1

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.

Topic 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.

Topic 3

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 4

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.

Topic 5

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 6

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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q17-Q22):

NEW QUESTION # 17
What is an effective way for an AlOps system to provide visibility?

A. Using Slack or Teams
B. Through dashboards and metrics
C. Via email
D. With a pub/sub architecture

Answer: B

NEW QUESTION # 18
Which of these data comes from monitoring rather than application or infrastructure telemetry?

A. Logs
B. Traces
C. Alerts
D. Metrics

Answer: C

Explanation:
In IT operations, monitoring tools generate alerts to notify teams of significant events or anomalies that may require attention. These alerts are distinct from application or infrastructure telemetry data, such as metrics, logs, or traces, which provide detailed insights into system performance and behavior.
Alerts serve as a higher-level indication that something within the system deviates from the norm, prompting further investigation or action. In the AIOps Foundation course, the importance of effective alert management is emphasized to reduce noise and improve incident response.
In the context of IT operations and AIOps (Artificial Intelligence for IT Operations), it's essential to distinguish between different types of data sources:
* Metrics:These are numerical data points that represent the performance of systems over time. Metrics are typically collected from applications and infrastructure components to monitor aspects like CPU usage, memory consumption, and response times. They provide insights into the health and performance of the system.
* Logs:Logs are detailed, time-stamped records of events generated by applications, infrastructure, and other systems. They capture a wide range of information, including errors, warnings, and informational messages, which are crucial for troubleshooting and understanding system behavior.
* Alerts:Alerts are notifications generated by monitoring tools when specific conditions or thresholds are met. They are derived from the analysis of metrics, logs, and other telemetry data. Alerts serve as signals to IT operations teams that something requires attention.
* Traces:Traces track the flow of requests through various components of an application, providing visibility into the execution path and performance of distributed systems. They are essential for understanding the interactions between different services and identifying bottlenecks.
Among these,alertsare the data that come specifically from monitoring activities. Monitoring systems analyze metrics, logs, and traces to detect anomalies or threshold breaches and generate alerts accordingly. Therefore, alerts are a product of monitoring rather than raw telemetry data from applications or infrastructure.
This distinction is crucial in AIOps, where integrating and analyzing various data types enable proactive IT operations management. By understanding the origins and roles of metrics, logs, alerts, and traces, organizations can implement more effective monitoring strategies and leverage AIOps platforms to enhance system reliability and performance.
For a deeper understanding of these concepts, the DevOps Institute's AIOps Foundation course provides comprehensive coverage of data sources and types, as well as their roles in modern IT operations

NEW QUESTION # 19
How should the initial AlOps scope be defined?

A. AlOps implementation is iterative and should not have a defined scope
B. All of the above
C. Small but meaningful scope that will provide data points to validate success
D. All inclusive of organizational wide long term objectives

Answer: C

Explanation:
Defining an initial AIOps scope that is small yet meaningful allows organizations to pilot the implementation, gather valuable data, and assess its effectiveness. This approach facilitates:
* Validation: Assessing the success of the AIOps deployment in a controlled environment.
* Iterative Improvement: Making informed adjustments before broader implementation.
* Resource Management: Efficient allocation of resources and minimizing potential risks.
Starting with a focused scope enables organizations to build confidence and expertise, paving the way for successful, scaled AIOps adoption.
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.

NEW QUESTION # 20
Which of the following describes MLOps?

A. Applying artificial intelligence to IT Operations
B. A set of capabilities that primarily focuses on the governance and the full life cycle management of all Al and decision models
C. Software that thinks like a human through analysis and reasoning to perform complex tasks
D. Implementing CI/CD. testing and accelerated development lifecycle to the machine learning model development

Answer: D

Explanation:
MLOps, or Machine Learning Operations, applies DevOps principles such as Continuous Integration and Continuous Deployment (CI/CD) to the development and deployment of machine learning models. This approach emphasizes automation, testing, and streamlined workflows to accelerate the machine learning lifecycle, ensuring models are reliable, reproducible, and maintainable in production environments.
The AIOps Foundation course discusses the relationship between AIOps and MLOps, highlighting how integrating these practices can enhance IT operations.

NEW QUESTION # 21
What is the meaning of Digital Transformation?

A. Refactoring all software to a newer technology stack
B. Replacing all analog systems with digital equivalents
C. Adoption of digital technologies for accelerated Innovation and improved customer experience
D. Replacing all human operators with artificial Intelligence

Answer: C

Explanation:
Digital Transformation refers to the strategic adoption of digital technologies to fundamentally change how organizations operate, deliver value to customers, and foster innovation.
It is not about simply replacing analog systems or eliminating human operators but integrating technology to improve efficiency, decision-making, and customer satisfaction.
DevOps Institute defines it as leveraging tools, automation, and cultural shifts to enable faster and more effective innovation cycles.
References highlight improved agility, scalability, and customer-focused outcomes as key objectives of Digital Transformation.

NEW QUESTION # 22
......

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