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Peoplecert AIOps-Foundation Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 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 (Q33-Q38):

NEW QUESTION # 33
Which are potential outcomes of an AlOps implementation?

A. Reduce cost and eliminate waste
B. Simplify operations
C. Continuously improve its value to the organization
D. All of the above

Answer: D

Explanation:
Potential outcomes of AIOps implementation include:
* Simplifying operationsby automating routine tasks and reducing manual intervention.
* Reducing costs and eliminating wastethrough better resource utilization and operational efficiency.
* Continuous improvementof its value to the organization by enabling proactive, data-driven decisions.
The DevOps Institute emphasizes these benefits as the primary drivers for adopting AIOps in IT operations.

NEW QUESTION # 34
With AlOps, offering aggressive SLAs results in:

A. No change to risk
B. There is no relation
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 # 35
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. Decrease in MTTA. Decrease in MTTR and Decrease in MTBF
C. Increase in MTTA, Increase 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 # 36
Surfacing relevant notifications and alerts from among large volumes of alerts is satisfied by this use case:

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

Answer: A

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 # 37
Discovering unexpected changes in system behavior or performance is satisfied by this use case:

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

Answer: B

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 # 38
......

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100% Pass Peoplecert - Useful Test AIOps-Foundation Dump

Peoplecert AIOps-Foundation Exam Syllabus Topics:

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q33-Q38):

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