FREE PDF 2025 PEOPLECERT AIOPS-FOUNDATION: HIGH PASS-RATE NEW DEVOPS INSTITUTE AIOPS FOUNDATION V1.0 TEST VOUCHER

Free PDF 2025 Peoplecert AIOps-Foundation: High Pass-Rate New DevOps Institute AIOps Foundation V1.0 Test Voucher

Free PDF 2025 Peoplecert AIOps-Foundation: High Pass-Rate New DevOps Institute AIOps Foundation V1.0 Test Voucher

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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 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
  • 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 (Q35-Q40):

NEW QUESTION # 35
What is a big advantage of AlOps over ITOA?

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

Answer: B

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 # 36
What is the meaning of Digital Transformation?

  • A. Replacing all human operators with artificial Intelligence
  • B. Adoption of digital technologies for accelerated Innovation and improved customer experience
  • C. Replacing all analog systems with digital equivalents
  • D. Refactoring all software to a newer technology stack

Answer: B

Explanation:
Digital Transformation refers to the strategic adoption of digital technologies to fundamentally change how organizations operate, deliver value to customers, and foster innovation.
It is not about simply replacing analog systems or eliminating human operators but integrating technology to improve efficiency, decision-making, and customer satisfaction.
DevOps Institute defines it as leveraging tools, automation, and cultural shifts to enable faster and more effective innovation cycles.
References highlight improved agility, scalability, and customer-focused outcomes as key objectives of Digital Transformation.


NEW QUESTION # 37
What does AlOps stand for?

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

Answer: A

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 # 38
Surfacing relevant notifications and alerts from among large volumes of alerts is satisfied by this use case:

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

Answer: D

Explanation:
Alert noise reductionis the use case focused on identifying and prioritizing relevant alerts from a large volume of notifications, which helps prevent alert fatigue for IT teams.
By reducing noise, AIOps enables teams to focus on significant issues that require immediate attention, improving operational efficiency.
The DevOps Institute's AIOps Foundation course highlights this capability as a core advantage of AIOps systems.


NEW QUESTION # 39
Targets of acceptable performance are defined in;

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

Answer: D

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 # 40
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