100% PASS QUIZ 2025 LATEST PEOPLECERT AIOPS-FOUNDATION: RELIABLE DEVOPS INSTITUTE AIOPS FOUNDATION V1.0 EXAM BOOTCAMP

100% Pass Quiz 2025 Latest Peoplecert AIOps-Foundation: Reliable DevOps Institute AIOps Foundation V1.0 Exam Bootcamp

100% Pass Quiz 2025 Latest Peoplecert AIOps-Foundation: Reliable DevOps Institute AIOps Foundation V1.0 Exam Bootcamp

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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
  • 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
  • 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 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
  • 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 7
  • 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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q10-Q15):

NEW QUESTION # 10
Which of the following describes MLOps?

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

Answer: C

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 # 11
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 # 12
With AlOps, offering aggressive SLAs results in:

  • A. Decreased risk
  • B. Increased risk
  • C. There is no relation
  • D. No change to risk

Answer: B

Explanation:
Offering aggressive Service Level Agreements (SLAs) with AIOps can lead to increased risk if the organization lacks the necessary infrastructure and processes to meet these stringent targets. Unrealistic SLAs may result in overcommitment, leading to potential service breaches, customer dissatisfaction, and reputational damage. It's essential to set achievable SLAs that align with the organization's capabilities, even when leveraging advanced tools like AIOps.


NEW QUESTION # 13
Which definition BEST describes Big Data?

  • A. Data sets that are "too large" or diverse causing traditional data processing techniques to be ineffective
  • B. Data sets thatlive in data warehouses or lakes
  • C. Data sets that are so large they can only be interrogated using Al
  • D. Data sets of structured data that have grown over time

Answer: A

Explanation:
Big Data refers to data sets that are so large, fast, or complex that traditional data processing methods are inadequate to handle them. This concept is characterized by the Five V's:
* Volume: The sheer amount of data generated.
* Velocity: The speed at which new data is produced and needs to be processed.
* Variety: The different types of data (structured, unstructured, semi-structured).
* Veracity: The quality and accuracy of the data.
* Value: The usefulness of the data for decision-making.
In the context of AIOps, understanding Big Data is crucial as it involves combining big data analytics with machine learning algorithms to enhance IT operations.


NEW QUESTION # 14
How should an AlOps strategy be handled?

  • A. With C Suite approval only
  • B. Focused on the needs of a specific team
  • C. No strategy is necessary
  • D. With clear documentation and buy-in from all stakeholders

Answer: D

Explanation:
An effective AIOps strategy should be developedwith clear documentationandbuy-in from all stakeholders
. Comprehensive documentation ensures that the strategy is well-understood, while stakeholder engagement fosters collaboration and support across the organization. This inclusive approach facilitates successful implementation and alignment with organizational goals.


NEW QUESTION # 15
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