AIOPS-FOUNDATION EXAM QUIZ | AIOPS-FOUNDATION RELIABLE STUDY QUESTIONS

AIOps-Foundation Exam Quiz | AIOps-Foundation Reliable Study Questions

AIOps-Foundation Exam Quiz | AIOps-Foundation Reliable Study Questions

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Tags: AIOps-Foundation Exam Quiz, AIOps-Foundation Reliable Study Questions, Valid AIOps-Foundation Exam Camp, AIOps-Foundation Exam Topics, Valid AIOps-Foundation Test Topics

Just download the DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) PDF dumps file and start the DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) exam questions preparation right now. Whereas the other two DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) practice test software is concerned, both are the mock Peoplecert AIOps-Foundation Exam Dumps and help you to provide the real-time DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) exam environment for preparation.

Peoplecert AIOps-Foundation Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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.
Topic 2
  • 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 3
  • 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 4
  • 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.

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AIOps-Foundation Reliable Study Questions, Valid AIOps-Foundation Exam Camp

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q32-Q37):

NEW QUESTION # 32
Which are potential outcomes of an AlOps implementation?

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

Answer: B

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 # 33
Which of the following is a characteristic of Machine Learning?

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

Answer: B

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 # 34
At which stage does the data pipeline deduplicate data?

  • A. Enrichment/filtering
  • B. Extraction/collection
  • C. Storage
  • D. Cleaning/integration

Answer: D

Explanation:
In a data pipeline, deduplication occurs during the cleaning and integration stage. This process involves identifying and removing duplicate records to ensure data quality and accuracy. By eliminating redundancies, organizations can maintain a single source of truth, leading to morereliable analytics and decision-making.
The DevOps Institute's AIOps Foundation course underscores the importance of data cleaning and integration in preparing data for effective analysis and operational use.


NEW QUESTION # 35
Which Al models can mimic human narrative?

  • A. Large language
  • B. Big data
  • C. Generative
  • D. AlOps

Answer: C

Explanation:
In the realm of artificial intelligence (AI), various models are designed to perform specific tasks.
Understanding these models is crucial, especially in the context of AIOps (Artificial Intelligence for IT Operations). Here's a breakdown of the options provided:
* Big Data: This term refers to the vast volumes of structured and unstructured data generated daily. Big Data itself is not an AI model but serves as a foundational element for AI and machine learning models, providing the necessary data for analysis and learning.
DevOps Institute
* Large Language Models: These are AI models trained on extensive text data to understand and generate human-like language. While they can produce coherent text, their primary function is to process and generate language based on input data. They are a subset of generative models but not the only type capable of mimicking human narratives.
* Generative Models: These AI models are designed to create new data instances that resemble a given dataset. In the context of language, generative models can produce human-like narratives, making them capable of mimicking human storytelling and conversation. Generative models encompass various architectures, including Generative Adversarial Networks (GANs) and certain types of Large Language Models.
* AIOps: This refers to the application of AI in IT operations to enhance and automate processes.
AIOps itself is not an AI model but a practice that leverages AI models, including generative models, to improve IT operations.
DevOps Institute
Therefore, the AI models that can mimic human narrative are Generative Models. These models are specifically designed to generate new, human-like content, making them suitable for tasks involving the creation of narratives.
For a more in-depth understanding of AI models and their applications in IT operations, the DevOps Institute's AIOps Foundation course provides comprehensive insights into how AI, including generative models, can be integrated into organizational frameworks to enhance IT operations.


NEW QUESTION # 36
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 # 37
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