PEOPLECERT AIOPS-FOUNDATION PDF QUESTIONS: ACCESSIBLE ANYWHERE

Peoplecert AIOps-Foundation PDF Questions: Accessible Anywhere

Peoplecert AIOps-Foundation PDF Questions: Accessible Anywhere

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Tags: AIOps-Foundation Reliable Exam Materials, Online AIOps-Foundation Bootcamps, Test AIOps-Foundation Dump, Valid AIOps-Foundation Test Blueprint, AIOps-Foundation Certification Training

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
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
  • 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.
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
  • 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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q25-Q30):

NEW QUESTION # 25
Which of the following is a characteristic of Machine Learning?

  • A. A superset of Al
  • B. Gradually improves accuracy through iterative optimization
  • C. Uses small amounts of historical data to generate accurate inferences or prediction
  • D. Requires explicit programming to learn

Answer: B

Explanation:
Machine Learning (ML) involves algorithms that learn from data and improve their performance over time through iterative optimization. Unlike traditional programming, where explicit instructions are coded, ML models identify patterns and make predictions based on historical data, refining their accuracy as they process more information.
The AIOps Foundation course covers core technologies of machine learning, emphasizing how these models enhance IT operations by automating tasks and providing predictive insights.


NEW QUESTION # 26
Targets of acceptable performance are defined in;

  • A. SLOs
  • B. KPIs
  • C. SLAs
  • D. SLIs

Answer: A

Explanation:
Service Level Objectives (SLOs)define specific, measurable targets for acceptable performance of a service.
They are critical components ofService Level Agreements (SLAs), providing clear benchmarks for service reliability and availability. By setting SLOs, organizations can align operational performance with business goals and customer expectations. The DevOps Institute's AIOps Foundation course outlines how establishing and monitoring SLOs is essential for effective service management and how AIOps can assist in meeting these objectives through enhanced monitoring and predictive analytics.


NEW QUESTION # 27
What impact on incident related metrics is the desired outcome from AlOps implementation?

  • A. Decrease in MTTA. Decrease in MTTR and Increase in MTBF
  • B. Increase in MTTA, Increase in MTTR and Decrease in MTBF
  • C. Decrease in MTTA. Decrease in MTTR and Decrease in MTBF
  • D. Decrease in MTTA, Increase in MTTR and Decrease in MTBF

Answer: A

Explanation:
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 # 28
What does reliability mean?

  • A. The ability to keep a functioning state
  • B. The ability to be timely and easily maintained
  • C. The ability to perform all desired functions
  • D. The ability to not create harm

Answer: A

Explanation:
Reliability in IT operations refers to a system's ability to consistently perform its intended functions without failure. This involves maintaining a functioning state over time, ensuring that services are available and operating correctly as expected. In the context of AIOps, enhancing reliability is a key objective, achieved through proactive monitoring, predictive analytics, and automated remediation. By leveraging AIOps, organizations can detect potential issues before they impact users, thereby maintaining system reliability and improving overall service quality.


NEW QUESTION # 29
How should the initial AlOps scope be defined?

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

Answer: A

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 # 30
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All these AIOps-Foundation exam dumps formats contain real, updated, and error-free DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) exam questions that prepare you for the final AIOps-Foundation exam. To give you an idea about the top features of AIOps-Foundation Exam Dumps, a free demo download facility is being offered to DevOps Institute AIOps Foundation V1.0 candidates. This free AIOps-Foundation exam questions demo download facility is available in all three AIOps-Foundation exam dumps formats.

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