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Pass Guaranteed AIOps-Foundation - Updated DevOps Institute AIOps Foundation V1.0 Valid Test Tips
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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q40-Q45):
NEW QUESTION # 40
Which are core technologies used by an AlOps system?
- A. Big Data
- B. Automation
- C. Machine Learning
- D. All of the above
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.
NEW QUESTION # 41
A system that, given consistent input, may produce different outputs is called:
- A. Random
- B. Probabilistic
- C. Algorithmic
- D. Deterministic
Answer: B
Explanation:
Aprobabilisticsystem is one that may produce different outputs even with consistent input, due to inherent randomness or probabilistic decision-making mechanisms.
This behavior contrasts with deterministic systems, which always produce the same output for the same input.
Probabilistic systems are common in AI/ML models, where outcomes are based on statistical probabilities and training data.
NEW QUESTION # 42
With AlOps, offering aggressive SLAs results in:
- A. Decreased risk
- B. No change to risk
- C. Increased risk
- D. There is no relation
Answer: C
Explanation:
Offering aggressive Service Level Agreements (SLAs) with AIOps can lead to increased risk if the organization lacks the necessary infrastructure and processes to meet these stringent targets. Unrealistic SLAs may result in overcommitment, leading to potential service breaches, customer dissatisfaction, and reputational damage. It's essential to set achievable SLAs that align with the organization's capabilities, even when leveraging advanced tools like AIOps.
NEW QUESTION # 43
Targets of acceptable performance are defined in;
- A. SLOs
- B. KPIs
- C. SLIs
- D. SLAs
Answer: A
Explanation:
Service Level Objectives (SLOs)define specific, measurable targets for acceptable performance of a service.
They are critical components ofService Level Agreements (SLAs), providing clear benchmarks for service reliability and availability. By setting SLOs, organizations can align operational performance with business goals and customer expectations. The DevOps Institute's AIOps Foundation course outlines how establishing and monitoring SLOs is essential for effective service management and how AIOps can assist in meeting these objectives through enhanced monitoring and predictive analytics.
NEW QUESTION # 44
Which of the following is a characteristic of Machine Learning?
- A. Uses small amounts of historical data to generate accurate inferences or prediction
- B. Requires explicit programming to learn
- C. A superset of Al
- D. Gradually improves accuracy through iterative optimization
Answer: D
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 # 45
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