EXAM PEOPLECERT AIOPS-FOUNDATION ANSWERS - AIOPS-FOUNDATION VALID REAL TEST

Exam Peoplecert AIOps-Foundation Answers - AIOps-Foundation Valid Real Test

Exam Peoplecert AIOps-Foundation Answers - AIOps-Foundation Valid Real Test

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Tags: Exam AIOps-Foundation Answers, AIOps-Foundation Valid Real Test, New AIOps-Foundation Test Registration, AIOps-Foundation New Exam Camp, Certification AIOps-Foundation Exam Dumps

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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 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 4
  • 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.

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Exam AIOps-Foundation Answers - DevOps Institute AIOps Foundation V1.0 Realistic 100% Pass Quiz

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q21-Q26):

NEW QUESTION # 21
Systems operation became elastic and dynamic thanks to:

  • A. Linux
  • B. Contamenzation
  • C. Machine Learning
  • D. Adoption of thecloud

Answer: D

Explanation:
The adoption of cloud computing has transformed system operations, making them more elastic and dynamic.
Cloud platforms provide on-demand resource allocation, enabling systems to scale up or down based on workload requirements. This elasticity allows organizations to efficiently manage resources, reduce costs, and respond swiftly to changing demands. The dynamic nature of cloud services supports continuous integration and deployment, enhancing operational agility. The DevOps Institute's AIOps Foundation course emphasizes the significance of cloud adoption in modernizing IT operations and achieving operational excellence.


NEW QUESTION # 22
Which are indicators of potential value to AlOps implementation?

  • A. Upward trending number of alerts
  • B. Difficulty in triaging and root cause analysis
  • 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 # 23
Which of the MELT data types is specific to a microservices based system?

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

Answer: B

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 # 24
How did systems architecture transform?

  • A. From cloud to edge
  • B. From docker to OCI
  • C. From monoliths to microservices
  • D. From object oriented languages to functional languages

Answer: C

Explanation:
System architecture has evolved significantly, transitioning from monolithic structures to microservices.
* Monolithic Architecture: In this traditional model, applications are built as a single, unified unit. While simpler to develop initially, monoliths can become cumbersome to manage, scale, and update as they grow in complexity.
* Microservices Architecture: This modern approach decomposes applications into smaller, independent services that communicate through APIs. Each microservice handles a specific function, allowing for greater flexibility, scalability, and ease of deployment.


NEW QUESTION # 25
What is a big advantage of AlOps over ITOA?

  • A. It can predict the future
  • B. It helps operations be reactive
  • C. It works with large datasets
  • D. It can understand the past

Answer: A

Explanation:
A significant advantage ofAIOps (Artificial Intelligence for IT Operations)over traditionalIT Operations Analytics (ITOA)is its ability topredict future events. While ITOA focuses on analyzing historical data to understand past incidents, AIOps leverages advanced machine learning algorithms to forecast potential issues before they occur. This predictive capability enables proactive problem resolution, reducing downtime and improving system reliability. The DevOps Institute's AIOps Foundation course highlights this forward- looking approach as a key benefit of implementing AIOps in modern IT environments.


NEW QUESTION # 26
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