AIOPS-FOUNDATION ACTUAL EXAM TORRENT & AIOPS-FOUNDATION PRACTICE MATERIALS & AIOPS-FOUNDATION VALID PRACTICE MATERIAL

AIOps-Foundation actual exam torrent & AIOps-Foundation practice materials & AIOps-Foundation valid practice material

AIOps-Foundation actual exam torrent & AIOps-Foundation practice materials & AIOps-Foundation valid practice material

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You have to get the Peoplecert AIOps-Foundation certification that can keep your job safe and give you a rise in the competition. Success in the AIOps-Foundation exam improves your rank at your workplace. The DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) certification exam helps to upgrade your skills and learn new technologies and applications which you can use in your live projects. If you are worried about how to prepare for the AIOps-Foundation Certification Exam, just download Pass4Leader real AIOps-Foundation Dumps PDF and study well to crack it. Using the AIOps-Foundation exam questions of Pass4Leader is the easiest way to pass the DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) test.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q19-Q24):

NEW QUESTION # 19
Which are core technologies used by an AlOps system?

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

Answer: C

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 # 20
Which of the 5Vs is concerned with data quality, missing data or false positive alerts?

  • A. Value
  • B. Veracity
  • C. Volume
  • D. Velocity

Answer: B

Explanation:
Veracity refers to the quality and trustworthiness of data, addressing issues such as data accuracy, consistency, and the presence of noise or false positives. In the context of AIOps, ensuring high data veracity is essential for effective machine learning and analytics, as poor-quality data can lead to incorrect insights and suboptimal decision-making.
The AIOps Foundation course highlights the significance of data veracity in building reliable AI-driven IT operations.


NEW QUESTION # 21
Which are indicators of potential value to AlOps implementation?

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

Answer: D

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 # 22
What is Step 1 in the AlOps Capability Scale?

  • A. Use chaos engineering for antifragility
  • B. Automate toils using Al Insights
  • C. Reduce MTTR through noise reduction
  • D. Add automation for self-healing

Answer: C

Explanation:
In the AIOps Capability Scale,Step 1focuses on reducing Mean Time to Repair (MTTR) by minimizing alert noise. This initial phase involves implementing AIOps solutions to filter and correlate alerts, thereby decreasing the volume of irrelevant notifications. By reducing noise, IT teams can concentrate on critical issues, leading to faster incident resolution and improved system reliability. This foundational step sets the stage for more advanced AIOps capabilities.


NEW QUESTION # 23
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. Semi-structured data
  • B. Unstructured data
  • C. Structured data
  • D. Time-series data

Answer: B

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 # 24
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