FREE PDF PEOPLECERT - PROFESSIONAL AIOPS-FOUNDATION - VALID BRAINDUMPS DEVOPS INSTITUTE AIOPS FOUNDATION V1.0 QUESTIONS

Free PDF Peoplecert - Professional AIOps-Foundation - Valid Braindumps DevOps Institute AIOps Foundation V1.0 Questions

Free PDF Peoplecert - Professional AIOps-Foundation - Valid Braindumps DevOps Institute AIOps Foundation V1.0 Questions

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Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
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 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.
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 (Q10-Q15):

NEW QUESTION # 10
Reactive Operations rely on:

  • A. Lagging indicators
  • B. Prediction and inference
  • C. Leading indicators
  • D. Big Data

Answer: A

Explanation:
Reactive operations focus on responding to incidents after they have occurred, relying on lagging indicators- metrics that reflect past events or performance. These indicators, such as system downtime reports or post- incident analyses, provide insights into issues that have already impacted the system. While useful for understanding and addressing past problems, reliance solely on lagging indicators can lead to delayed responses and prolonged downtime. AIOps aims to shift operations from reactive to proactive by utilizing leading indicators and predictive analytics to anticipate and prevent issues before they occur.


NEW QUESTION # 11
Discovering unexpected changes in system behavior or performance is satisfied by this use case:

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

Answer: C

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 # 12
Which of the following is a characteristic of Machine Learning?

  • A. Requires explicit programming to learn
  • B. Uses small amounts of historical data to generate accurate inferences or prediction
  • C. Gradually improves accuracy through iterative optimization
  • D. A superset of Al

Answer: C

Explanation:
Machine Learning (ML) involves algorithms that learn from data and improve their performance over time through iterative optimization. Unlike traditional programming, where explicit instructions are coded, ML models identify patterns and make predictions based on historical data, refining their accuracy as they process more information.
The AIOps Foundation course covers core technologies of machine learning, emphasizing how these models enhance IT operations by automating tasks and providing predictive insights.


NEW QUESTION # 13
Which definition BEST describes Big Data?

  • A. Data sets that are so large they can only be interrogated using Al
  • B. Data sets that are "too large" or diverse causing traditional data processing techniques to be ineffective
  • C. Data sets of structured data that have grown over time
  • D. Data sets thatlive in data warehouses or lakes

Answer: B

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 # 14
Systems operation became elastic and dynamic thanks to:

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

Answer: A

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 # 15
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In the Web-Based Peoplecert AIOps-Foundation Practice Exam, the DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) exam dumps given are actual and according to the syllabus of the test. This DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) practice exam is compatible with all operating systems like Mac, Linux, IOS, Android, and Windows. Likewise, this DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) practice test is browser-based so it needs no special installation to function properly. Firefox, Chrome, IE, Opera, Safari, and all the major browsers support this DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) practice exam.

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