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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q25-Q30):
NEW QUESTION # 25
Targets of acceptable performance are defined in;
- A. KPIs
- B. SLAs
- C. SLIs
- D. SLOs
Answer: D
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 # 26
Which of the MELT data types is specific to a microservices based system?
- A. Metrics
- B. Logs
- C. Events
- D. Traces
Answer: D
Explanation:
In microservices-based systems, "Traces" are a specific MELT (Metrics, Events, Logs, Traces) data type.
Traces track the flow of requests through various services, providing visibility into the interactions and performance of microservices. This tracing is crucial for diagnosing issues, understanding system behavior, and optimizing performance in complex, distributed environments. The DevOps Institute's AIOps Foundation course emphasizes the role of traces in observability practices, enabling teams to monitor and improve microservices architectures effectively.
For more detailed information, refer to the DevOps Institute's AIOps Foundation course materials.
NEW QUESTION # 27
Which are indicators of potential value to AlOps implementation?
- A. All of the above
- B. Difficulty in triaging and root cause analysis
- C. Upward trending number of alerts
- D. Poor alert quality with lots of noise
Answer: A
Explanation:
Indicators that suggest potential value in implementing AIOps include:
* Upward Trending Number of Alerts: An increasing volume of alerts can overwhelm IT teams, leading to alert fatigue and missed critical issues.
* Poor Alert Quality with Lots of Noise: High levels of false positives or irrelevant alerts can obscure genuine problems, reducing operational efficiency.
* Difficulty in Triaging and Root Cause Analysis: Challenges in quickly identifying and resolving the underlying causes of incidents can prolong downtime and impact service quality.
Implementing AIOps addresses these challenges by utilizing artificial intelligence and machine learning to enhance alert management, reduce noise, and streamline incident resolution, as outlined in the DevOps Institute's AIOps Foundation.
NEW QUESTION # 28
With AlOps, offering aggressive SLAs results in:
- A. Increased risk
- B. No change to risk
- C. There is no relation
- D. Decreased risk
Answer: A
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 # 29
Which definition BEST describes Big Data?
- A. Data sets that are "too large" or diverse causing traditional data processing techniques to be ineffective
- B. Data sets of structured data that have grown over time
- C. Data sets thatlive in data warehouses or lakes
- D. Data sets that are so large they can only be interrogated using Al
Answer: A
Explanation:
Big Data refers to data sets that are so large, fast, or complex that traditional data processing methods are inadequate to handle them. This concept is characterized by the Five V's:
* Volume: The sheer amount of data generated.
* Velocity: The speed at which new data is produced and needs to be processed.
* Variety: The different types of data (structured, unstructured, semi-structured).
* Veracity: The quality and accuracy of the data.
* Value: The usefulness of the data for decision-making.
In the context of AIOps, understanding Big Data is crucial as it involves combining big data analytics with machine learning algorithms to enhance IT operations.
NEW QUESTION # 30
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