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Peoplecert AIOps-Foundation Exam Syllabus Topics:

Topic	Details
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 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	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 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	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 (Q22-Q27):

NEW QUESTION # 22
Which are core technologies used by an AlOps system?

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

Answer: A

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 # 23
What impact on incident related metrics is the desired outcome from AlOps implementation?

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

Answer: C

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 # 24
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 that are so large they can only be interrogated using Al
C. Data sets of structured data that have grown over time
D. Data sets thatlive in data warehouses or lakes

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 # 25
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 # 26
How did systems architecture transform?

A. From object oriented languages to functional languages
B. From monoliths to microservices
C. From cloud to edge
D. From docker to OCI

Answer: B

Explanation:
System architecture has evolved significantly, transitioning from monolithic structures to microservices.
* Monolithic Architecture: In this traditional model, applications are built as a single, unified unit. While simpler to develop initially, monoliths can become cumbersome to manage, scale, and update as they grow in complexity.
* Microservices Architecture: This modern approach decomposes applications into smaller, independent services that communicate through APIs. Each microservice handles a specific function, allowing for greater flexibility, scalability, and ease of deployment.

NEW QUESTION # 27
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Pass AIOps-Foundation Exam with Realistic AIOps-Foundation Exam Lab Questions by Lead2PassExam

Peoplecert AIOps-Foundation Exam Syllabus Topics:

Choosing AIOps-Foundation Exam Lab Questions in Lead2PassExam Makes It As Relieved As Sleeping to Pass DevOps Institute AIOps Foundation V1.0

Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q22-Q27):

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