FREE AIOPS-FOUNDATION STUDY MATERIAL & EXAM AIOPS-FOUNDATION SIMULATOR ONLINE

Free AIOps-Foundation Study Material & Exam AIOps-Foundation Simulator Online

Free AIOps-Foundation Study Material & Exam AIOps-Foundation Simulator Online

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Tags: Free AIOps-Foundation Study Material, Exam AIOps-Foundation Simulator Online, AIOps-Foundation Test Dumps, AIOps-Foundation Exam Tests, AIOps-Foundation Reliable Mock Test

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q28-Q33):

NEW QUESTION # 28
Systems operation became elastic and dynamic thanks to:

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

Answer: A

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 # 29
Which are core technologies used by an AlOps system?

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

Answer: C

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 # 30
Which algorithm Type is helpful in categorizing data in a supervised learning model?

  • A. Regression
  • B. Classification
  • C. Clustering
  • D. Association

Answer: B

Explanation:
In supervised learning models,classification algorithmsare employed to categorize data into distinct classes or labels. These algorithms learn from a labeled dataset, where the input data is paired with the correct output, enabling the model to make accurate predictions on new, unseen data. For instance, classification can be used to determine whether an email is 'spam' or 'not spam'. This method is fundamental in various applications, including fraud detection, image recognition, and medical diagnosis. The DevOps Institute's AIOps Foundation course emphasizes the importance of classification in building predictive models that enhance IT operations.


NEW QUESTION # 31
With AlOps, offering aggressive SLAs results in:

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

Answer: C

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 # 32
How should an AlOps strategy be handled?

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

Answer: B

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 # 33
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