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AIOps-Foundation Latest Test Simulations | Questions AIOps-Foundation Exam

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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
  • 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 3
  • 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 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.
Topic 5
  • 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.

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DevOps Institute AIOps Foundation V1.0 AIOps-Foundation exam practice material is available in desktop practice exam software, web-based practice test, and PDF format. Choose the finest format of DevOps Institute AIOps Foundation V1.0 AIOps-Foundation exam questions so that you can prepare well for the DevOps Institute AIOps Foundation V1.0 exam. Our AIOps-Foundation PDF exam questions are an eBook that can be read on any device, even your smartphone.

Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q40-Q45):

NEW QUESTION # 40
Discovering unexpected changes in system behavior or performance is satisfied by this use case:

  • A. Root cause analysis
  • B. Event correlation
  • C. Anomaly detection
  • D. Alert noise reduction

Answer: C

Explanation:
Anomaly detectionrefers to identifying unexpected changes or deviations in system behavior or performance.
This use case is essential for proactively detecting issues that may not have predefined patterns or signatures, enabling faster incident resolution.
The DevOps Institute's AIOps Foundation materials describe anomaly detection as a key feature of AIOps platforms to enhance monitoring capabilities.


NEW QUESTION # 41
What is a big advantage of AlOps over ITOA?

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

Answer: D

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 # 42
What does AlOps stand for?

  • A. Augmented Interfaces in IT Operations
  • B. Artificial Intelligence Operations
  • C. Artificial Intelligence in DevOps
  • D. Artificial Intelligence in IT Operations

Answer: D

Explanation:
AIOps stands for "Artificial Intelligence in IT Operations." This term refers to the application of artificial intelligence (AI) and machine learning (ML) technologies to enhance and automate various aspects of IT operations. By leveraging big data analytics, AIOps platforms can analyze vast amounts of data generated by IT systems to identify patterns, detect anomalies, and automate responses to operational issues.
The DevOps Institute's AIOps Foundation course emphasizes that AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination. This integration enables IT teams to proactively manage complex IT environments, improve system performance, and reduce downtime.
Implementing AIOps involves several key steps:
* Data Aggregation: Collecting and aggregating data from various IT operations sources, such as logs, metrics, and events.
* Data Analysis: Applying machine learning algorithms to analyze the aggregated data, identifying patterns and anomalies that could indicate potential issues.
* Automated Response: Utilizing AI-driven insights to automate responses to detected issues, such as triggering alerts, executing remediation scripts, or adjusting system configurations.
* Continuous Improvement: Regularly refining AI models and operational processes based on feedback and evolving data patterns to enhance the effectiveness of the AIOps solution.
By following these steps, organizations can achieve a more proactive and efficient IT operations management approach, leading to improved reliability and performance of their IT services.
For more detailed information, refer to the DevOps Institute's AIOps Foundation course materials.


NEW QUESTION # 43
With AlOps, offering aggressive SLAs results in:

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

Answer: D

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 # 44
How should the initial AlOps scope be defined?

  • A. Small but meaningful scope that will provide data points to validate success
  • B. AlOps implementation is iterative and should not have a defined scope
  • C. All inclusive of organizational wide long term objectives
  • 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 # 45
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