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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 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

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 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.

Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q39-Q44):

NEW QUESTION # 39
Systems operation became elastic and dynamic thanks to:

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

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 # 40
Data that does not have a predefined structure or format and is usually in the form of text-heavy content is usually described as:

A. Unstructured data
B. Semi-structured data
C. Time-series data
D. Structured data

Answer: A

Explanation:
Unstructured data lacks a predefined structure or format and is often text-heavy, including documents, emails, social media posts, and multimedia content. Unlike structured data, which resides in fixed fields within databases, unstructured data does not fit neatly into relational databases. The DevOps Institute's AIOps Foundation course highlights the challenges and importance of processing unstructured data in IT operations, as it contains valuable insights that can enhance decision-making and operational efficiency.

NEW QUESTION # 41
Discovering unexpected changes in system behavior or performance is satisfied by this use case:

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

Answer: D

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 # 42
Which are indicators of potential value to AlOps implementation?

A. Difficulty in triaging and root cause analysis
B. Upward trending number of alerts
C. All of the above
D. Poor alert quality with lots of noise

Answer: C

Explanation:
Indicators that suggest potential value in implementing AIOps include:
* Upward Trending Number of Alerts: An increasing volume of alerts can overwhelm IT teams, leading to alert fatigue and missed critical issues.
* Poor Alert Quality with Lots of Noise: High levels of false positives or irrelevant alerts can obscure genuine problems, reducing operational efficiency.
* Difficulty in Triaging and Root Cause Analysis: Challenges in quickly identifying and resolving the underlying causes of incidents can prolong downtime and impact service quality.
Implementing AIOps addresses these challenges by utilizing artificial intelligence and machine learning to enhance alert management, reduce noise, and streamline incident resolution, as outlined in the DevOps Institute's AIOps Foundation.

NEW QUESTION # 43
The incident related metric MTTD means:

A. Mean Time to Delivery
B. Mean Time to Distribution
C. Mean time to Detect
D. Mean Time to Deployment

Answer: C

Explanation:
Mean Time to Detect (MTTD)is an incident management metric that measures the average time taken to identify an issue within a system. A lower MTTD indicates a more responsive monitoring system, allowing for quicker remediation and minimizing potential impact. Improving MTTD is crucial for maintaining system reliability and performance. The DevOps Institute's AIOps Foundation course emphasizes the importance of MTTD in evaluating the effectiveness of IT operations and the implementation of AIOps solutions to enhance detection capabilities.

NEW QUESTION # 44
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