PeopleCert AIOps-Foundation Practice Exam Questions & Answers
7 Free Questions
· Last reviewed: October 23, 2026
· Prepared & Reviewed by the ValidExamDumps Editorial Team
Exam Facts
PeopleCert AIOps-Foundation Exam Details
Key details for this exam, checked against the published exam outline
40
Practice Questions (Our Bank)
60 minutes
Exam Duration
65%
Passing Score
USD 225
Official Exam Fee
- Exam Code
- AIOps-Foundation
- Full Name
- DevOps Institute AIOps Foundation V1.0
- Issuing Body
- PeopleCert
- Question Format (Our Bank)
- Multiple Choice
- Delivery
- Online proctored
- Validity
- 3 years
Practice Questions
Free AIOps-Foundation Practice Questions
Each question shows the correct answer and an explanation of why it is right
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What impact on incident related metrics is the desired outcome from AlOps implementation?
Correct Answer:
D
Explanation
Unstructured data has no predefined format and typically exists as text, images, videos or other content that cannot fit neatly into tables. Structured data is organized in formats like databases or spreadsheets. Semi-structured data has some organizational elements like XML tags. Unstructured data is the correct answer because the question specifically describes text-heavy content without a predefined structure, which is the defining characteristic of unstructured data in Big Data contexts.
The various key areas in a system work together in the following loop:
Correct Answer:
A
Explanation
Implementing AIOps successfully requires both clear documentation to guide the rollout and genuine buy-in from all stakeholders including leadership, operations teams, and IT staff. Documentation alone won't work if people don't support the change. Buy-in without documentation leaves teams confused about how to proceed. Skipping either governance or communication creates resistance. The correct answer recognizes that successful implementation needs both clear direction and stakeholder support working together.
With AlOps, offering aggressive SLAs results in:
Correct Answer:
B
Explanation
Classification algorithms group data into predefined categories based on learned patterns from training data. This is a core supervised learning technique because the training data includes labeled examples showing the correct categories. Clustering is unsupervised learning since it finds natural groupings without predefined labels. Regression predicts continuous values rather than categories. Reinforcement learning learns through rewards and penalties. Classification directly solves the problem of categorizing data when you have labeled training examples available.
Discovering unexpected changes in system behavior or performance is satisfied by this use case:
Correct Answer:
B
Explanation
Analytics is deterministic because it uses defined rules and logic to analyze data and produce consistent, predictable results based on the input data. Machine learning, by contrast, is probabilistic because it generates predictions with varying degrees of confidence based on patterns learned from training data. Analytics follows explicit algorithms whereas ML models operate on probabilities, making analytics the only deterministic approach among typical operational technologies.
What does reliability mean?
Correct Answer:
A
Explanation
Big Data refers to datasets so large or complex that conventional data processing tools cannot handle them effectively. The defining issue is not just volume but the combination of size and diversity that breaks traditional approaches. Datasets that are simply large but structured can often be processed with standard tools. Real-time processing and cloud storage are technologies used to handle Big Data, not definitions of it. The correct answer captures the core concept: volume and variety together create a challenge that traditional techniques cannot solve.
How do SLAs relate To AlOps?
Correct Answer:
A
Explanation
When implementing AIOps, starting with a small but meaningful scope allows teams to prove value and build confidence before scaling. A well-defined initial scope generates measurable success metrics that validate the approach works in the organization's environment. This approach reduces risk and provides data to secure stakeholder support for broader rollout. A scope that is too small yields no insights, while one that is too large risks failure and delays in showing value.
Which of the following technologies is deterministic?
Correct Answer:
D
Explanation
Alert noise reduction addresses the practical problem of IT operations teams receiving so many alerts that genuine issues get lost in the volume. This use case focuses on filtering, correlating and prioritizing alerts to surface only the most relevant ones. Incident prediction looks ahead to prevent problems before they happen. Root cause analysis explains why problems occurred. Performance optimization improves system efficiency. Alert noise reduction specifically handles the challenge of managing large volumes of notifications, making it the best match for this scenario.
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Domain 1: AIOps Fundamentals
Discover how AIOps has evolved through the years, the difference between AIOps and IT Operations Analytics, and the current stages of an AIOps system. Understand the origins of AIOps and the technology context in which it developed.
Sample question from this domain above:
Q7
Domain 2: AIOps in the Organisation
Learn how AIOps can be integrated into organizational frameworks, and its impact on DevOps, site reliability, security, and system complexity. See how AIOps transforms operational efficiency across different business contexts.
Sample question from this domain above:
Q6
Domain 3: Core Technologies: Big Data
Gain an introduction to Big Data, covering what Big Data is, the Five Vs, its key characteristics, AIOps data sources and types, and diverse data. Understand the data foundations that power AIOps systems.
Sample questions from this domain above:
Q1Q5
Domain 4: Core Technologies: Machine Learning (ML)
Explore AI and Machine Learning in AIOps, supervised vs. unsupervised learning, ML vs. analytics, training models, and future prospects. Learn how ML algorithms apply to IT operations and the relationship between AIOps and MLOps.
Sample question from this domain above:
Q3
Domain 5: AIOps and Operations Metrics
Leverage industry-standard metrics to quantify the outcomes of implementing AIOps. Understand how to measure and demonstrate the value of AIOps initiatives.
Sample question from this domain above:
Q4
Domain 6: AIOps Use Cases and Organisational Mindset
Understand the challenges and opportunities of applying AIOps in the organization. Explore real-world scenarios and the cultural factors that support successful AIOps adoption.
Domain 7: Evaluating AIOps Impact
Measure the effectiveness of AIOps deployment and its potential benefits. Assess how AIOps delivers value in your specific operational environment.
Domain 8: Implementing AIOps
Discover the challenges, trends, and ethical considerations organizations may face while deploying an AIOps initiative. Navigate the practical steps and considerations for rolling out AIOps in your organization.
Sample question from this domain above:
Q2
FAQ
AIOps-Foundation Exam FAQ
Common questions about the exam itself
What background do I need before attempting the AIOps Foundation exam?
The exam is designed as a foundation level certification, so you do not need hands-on AIOps platform experience to pass. However, the DevOps Institute recommends having a background in IT operations, DevOps practices, or system administration to understand the concepts in context.
How long should I spend preparing for the AIOps Foundation exam?
Most candidates spend 40 to 80 hours preparing, though this varies based on your existing knowledge of DevOps, machine learning, and IT operations. The official training materials are designed to guide your study, and practice exams help you gauge your readiness.
Is the AIOps Foundation exam harder than DevOps Foundation?
AIOps Foundation and DevOps Foundation are distinct exams covering different domains. AIOps Foundation focuses on artificial intelligence and machine learning in operations, while DevOps Foundation covers DevOps principles and practices. AIOps Foundation requires understanding of big data and ML concepts, which some find more abstract than DevOps practices.
What happens on exam day for the online proctored AIOps Foundation exam?
You take the exam through PeopleCert's online proctoring system on your own device. You must verify your identity, ensure your environment meets proctoring requirements, and use only approved materials. The exam is open-book, allowing you to reference official training materials on a second device or in printed form.
What is the passing score for AIOps Foundation and how is it calculated?
The passing score is 65 percent, which equals 26 out of 40 multiple-choice questions answered correctly. There is no partial credit, so each question is worth the same value toward your final score.
How long is the AIOps Foundation certification valid?
Your AIOps Foundation certificate is valid for 3 years from the date you pass the exam. After 3 years, you can renew by joining PeopleCert Plus to earn Continuous Professional Development points or by obtaining another DevOps Institute certification.
Can I retake the AIOps Foundation exam if I fail on my first attempt?
Yes, you can retake the exam. Rescheduling up to 48 hours before the exam start time is free. If you reschedule within 48 hours of the exam, a rescheduling fee applies. You must wait before retaking to give yourself time to study and improve your knowledge.
What is the relationship between AIOps Foundation and other DevOps Institute certifications?
AIOps Foundation is a foundation level certification that stands alone but can be a stepping stone to more advanced certifications. The DevOps Institute offers related certifications in DevOps practices, Site Reliability Engineering, and other specializations. Earning any other DevOps Institute certification within your 3-year window automatically renews your AIOps Foundation certification.
Which objective area of AIOps Foundation do candidates typically find most challenging?
Machine Learning and Big Data concepts tend to be the most challenging for candidates without a data science or analytics background. These topics are abstract and require understanding both theory and practical application. Spending extra study time on supervised vs. unsupervised learning, data types, and ML model training helps build confidence in this area.
Does AIOps Foundation require hands-on experience with AIOps tools like Splunk or Datadog?
No, the exam does not require hands-on platform experience. It tests theoretical and conceptual knowledge rather than tool-specific skills. However, familiarity with IT operations monitoring and analytics tools can help you understand the context of how AIOps concepts apply in practice.
