Quiz Latest Peoplecert - AIOps-Foundation - Certification DevOps Institute AIOps Foundation V1.0 Exam
Quiz Latest Peoplecert - AIOps-Foundation - Certification DevOps Institute AIOps Foundation V1.0 Exam
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Tags: Certification AIOps-Foundation Exam, Latest AIOps-Foundation Exam Questions Vce, Testking AIOps-Foundation Learning Materials, AIOps-Foundation Valid Dumps Pdf, AIOps-Foundation Exam Preparation
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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q14-Q19):
NEW QUESTION # 14
Which of the following technologies is deterministic?
- A. Analytics
- B. Neural networks
- C. Machine Learning
- D. Artificial Intelligence
Answer: A
Explanation:
Deterministic technologies operate with predictable outcomes based on specific inputs. Analytics is a deterministic process, as it involves the systematic analysis of data to produce consistent and repeatable results. Given the same data set and analytical methods, analytics will yield the same conclusions, making it a deterministic approach. In contrast, technologies like machine learning, artificial intelligence, and neural networks are probabilistic, as they involve learning from data and making inferences that may vary with different inputs or training processes.
NEW QUESTION # 15
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. Time-series data
- C. Semi-structured 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 # 16
Which of the following describes MLOps?
- A. Software that thinks like a human through analysis and reasoning to perform complex tasks
- B. Applying artificial intelligence to IT Operations
- C. Implementing CI/CD. testing and accelerated development lifecycle to the machine learning model development
- D. A set of capabilities that primarily focuses on the governance and the full life cycle management of all Al and decision models
Answer: C
Explanation:
MLOps, or Machine Learning Operations, applies DevOps principles such as Continuous Integration and Continuous Deployment (CI/CD) to the development and deployment of machine learning models. This approach emphasizes automation, testing, and streamlined workflows to accelerate the machine learning lifecycle, ensuring models are reliable, reproducible, and maintainable in production environments.
The AIOps Foundation course discusses the relationship between AIOps and MLOps, highlighting how integrating these practices can enhance IT operations.
NEW QUESTION # 17
What does reliability mean?
- A. The ability to perform all desired functions
- B. The ability to not create harm
- C. The ability to be timely and easily maintained
- D. The ability to keep a functioning state
Answer: D
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 # 18
Reactive Operations rely on:
- A. Big Data
- B. Lagging indicators
- C. Leading indicators
- D. Prediction and inference
Answer: B
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 # 19
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