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Peoplecert AIOps-Foundation Exam Syllabus Topics:

Topic	Details
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	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 4	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.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q29-Q34):

NEW QUESTION # 29
Systems operation became elastic and dynamic thanks to:

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

Answer: B

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 # 30
Which of the MELT data types is specific to a microservices based system?

A. Logs
B. Events
C. Traces
D. Metrics

Answer: C

Explanation:
In microservices-based systems, "Traces" are a specific MELT (Metrics, Events, Logs, Traces) data type.
Traces track the flow of requests through various services, providing visibility into the interactions and performance of microservices. This tracing is crucial for diagnosing issues, understanding system behavior, and optimizing performance in complex, distributed environments. The DevOps Institute's AIOps Foundation course emphasizes the role of traces in observability practices, enabling teams to monitor and improve microservices architectures effectively.
For more detailed information, refer to the DevOps Institute's AIOps Foundation course materials.

NEW QUESTION # 31
Which of the following describes MLOps?

A. Implementing CI/CD. testing and accelerated development lifecycle to the machine learning model development
B. A set of capabilities that primarily focuses on the governance and the full life cycle management of all Al and decision models
C. Applying artificial intelligence to IT Operations
D. Software that thinks like a human through analysis and reasoning to perform complex tasks

Answer: A

Explanation:
MLOps, or Machine Learning Operations, applies DevOps principles such as Continuous Integration and Continuous Deployment (CI/CD) to the development and deployment of machine learning models. This approach emphasizes automation, testing, and streamlined workflows to accelerate the machine learning lifecycle, ensuring models are reliable, reproducible, and maintainable in production environments.
The AIOps Foundation course discusses the relationship between AIOps and MLOps, highlighting how integrating these practices can enhance IT operations.

NEW QUESTION # 32
What does reliability mean?

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

Answer: B

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 # 33
A system that, given consistent input, may produce different outputs is called:

A. Deterministic
B. Algorithmic
C. Random
D. Probabilistic

Answer: D

Explanation:
Aprobabilisticsystem is one that may produce different outputs even with consistent input, due to inherent randomness or probabilistic decision-making mechanisms.
This behavior contrasts with deterministic systems, which always produce the same output for the same input.
Probabilistic systems are common in AI/ML models, where outcomes are based on statistical probabilities and training data.

NEW QUESTION # 34
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Peoplecert AIOps-Foundation BY USING AIOps-Foundation EXAM QUESTIONS

Peoplecert AIOps-Foundation Exam Syllabus Topics:

Best AIOps-Foundation Study Material & Exam AIOps-Foundation Labs

Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q29-Q34):

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