AIOPS-FOUNDATION AUTHENTIC EXAM HUB, TEST AIOPS-FOUNDATION QUESTIONS VCE

AIOps-Foundation Authentic Exam Hub, Test AIOps-Foundation Questions Vce

AIOps-Foundation Authentic Exam Hub, Test AIOps-Foundation Questions Vce

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 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.
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.
Topic 6
  • 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.

Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q14-Q19):

NEW QUESTION # 14
Which of these data comes from monitoring rather than application or infrastructure telemetry?

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

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 # 15
What is an effective way for an AlOps system to provide visibility?

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

Answer: B


NEW QUESTION # 16
What is an effective way for an AlOps system to provide visibility?

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

Answer: B

Explanation:
An effective AIOps system provides visibility into IT operations through comprehensive dashboards and metrics. These tools offer real-time insights into system performance, health, and anomalies, enabling IT teams to monitor operations proactively. Dashboards consolidate data from various sources, presenting it in an accessible format, while metrics track key performance indicators essential for informed decision-making.


NEW QUESTION # 17
Which of the MELT data types is specific to a microservices based system?

  • A. Metrics
  • B. Logs
  • C. Events
  • D. Traces

Answer: D

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 # 18
What can one use to track system status if applying SRE principles?

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

Answer: D

Explanation:
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.


NEW QUESTION # 19
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