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Exam Code AIOps-Foundation
Exam Name PeopleCert DevOps Institute AIOps Foundation V1.0
Vendor PeopleCert
Total Questions 40
Last Updated 26-Oct, 2026
Free AIOps-Foundation Questions Get Premium Access
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Free AIOps-Foundation Practice Questions

Explore 7 free practice questions for the PeopleCert AIOps-Foundation exam and review the answers and explanations to support your preparation.

  1. Question 1

    Single answer

    The incident related metric MTTD means:

    • Option A:
      Mean Time to Deployment
      Correct
    • Option B:
      Mean Time to Delivery
      Correct
    • Option C:
      Mean Time to Distribution
      Correct
    • Option D:
      Mean time to Detect
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    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.

  2. Question 2

    Single answer

    What is the meaning of Digital Transformation? 

    • Option A:
      Replacing all analog systems with digital equivalents
      Correct
    • Option B:
      Adoption of digital technologies for accelerated Innovation and improved customer experience
      Correct
    • Option C:
      Refactoring all software to a newer technology stack
      Correct
    • Option D:
      Replacing all human operators with artificial Intelligence
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

  3. Question 3

    Single answer

    What is a key difference between ITOA and AlOps? 

    • Option A:
      Change from reactive to proactive
      Correct
    • Option B:
      Need for Big Data as source of information
      Correct
    • Option C:
      Can improve system resiliency
      Correct
    • Option D:
      Related to IT Operations 
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: A

  4. Question 4

    Single answer

    What does AlOps stand for? 

    • Option A:
      Artificial Intelligence Operations
      Correct
    • Option B:
       Artificial Intelligence in IT Operations
      Correct
    • Option C:
      Augmented Interfaces in IT Operations
      Correct
    • Option D:
      Artificial Intelligence in DevOps
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

  5. Question 5

    Single answer

    Which of the following describes MLOps?

    • Option A:
      Applying artificial intelligence to IT Operations
      Correct
    • Option B:
      Implementing CI/CD. testing and accelerated development lifecycle to the machine learning model development
      Correct
    • Option C:
      Software that thinks like a human through analysis and reasoning to perform complex tasks
      Correct
    • Option D:
      A set of capabilities that primarily focuses on the governance and the full life cycle management of all Al and decision models
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

    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.

  6. Question 6

    Single answer

    Which are core technologies used by an AlOps system?

    • Option A:
      Big Data
      Correct
    • Option B:
      Machine Learning
      Correct
    • Option C:
      Automation
      Correct
    • Option D:
      All of the above
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: D

    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.

  7. Question 7

    Single answer

    What can one use to track system status if applying SRE principles?

    • Option A:
      Number of alerts
      Correct
    • Option B:
      Error budgets
      Correct
    • Option C:
      User defect reports
      Correct
    • Option D:
      Number of commits to a repo
      Correct
    Show Answer & Explanation Hide Answer & Explanation

    Correct Answer: B

    Explanation

    In Site Reliability Engineering (SRE), error budgets are a key metric for tracking system status and balancing reliability with the pace of innovation.
    Error Budgets : An error budget quantifies the acceptable level of system unreliability over a specific period. It represents the permissible amount of downtime or failures, allowing teams to make informed decisions about deploying new features versus focusing on system stability.
    By monitoring error budgets, organizations can effectively manage trade-offs between releasing new functionalities and maintaining system reliability, a practice supported by the DevOps Institute's AIOps Foundation principles.