PRACTICE AIOPS-FOUNDATION EXAM FEE, AIOPS-FOUNDATION LEAD2PASS REVIEW

Practice AIOps-Foundation Exam Fee, AIOps-Foundation Lead2pass Review

Practice AIOps-Foundation Exam Fee, AIOps-Foundation Lead2pass Review

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Tags: Practice AIOps-Foundation Exam Fee, AIOps-Foundation Lead2pass Review, AIOps-Foundation Valid Dumps Book, AIOps-Foundation Valid Test Syllabus, AIOps-Foundation Reliable Real Exam

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Quiz 2025 Accurate AIOps-Foundation: Practice DevOps Institute AIOps Foundation V1.0 Exam Fee

Due to extremely high competition, passing the DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) exam is not easy; however, possible. You can use PracticeVCE products to pass the AIOps-Foundation exam on the first attempt. The DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) practice exam gives you confidence and helps you understand the criteria of the testing authority and pass the DevOps Institute AIOps Foundation V1.0 (AIOps-Foundation) exam on the first attempt. PracticeVCE AIOps-Foundation Questions have helped thousands of candidates to achieve their professional dreams.

Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q39-Q44):

NEW QUESTION # 39
Discovering unexpected changes in system behavior or performance is satisfied by this use case:

  • A. Anomaly detection
  • B. Alert noise reduction
  • C. Event correlation
  • D. Root cause analysis

Answer: A

Explanation:
Anomaly detectionrefers to identifying unexpected changes or deviations in system behavior or performance.
This use case is essential for proactively detecting issues that may not have predefined patterns or signatures, enabling faster incident resolution.
The DevOps Institute's AIOps Foundation materials describe anomaly detection as a key feature of AIOps platforms to enhance monitoring capabilities.


NEW QUESTION # 40
What does AlOps stand for?

  • A. Artificial Intelligence Operations
  • B. Artificial Intelligence in DevOps
  • C. Augmented Interfaces in IT Operations
  • D. Artificial Intelligence in IT Operations

Answer: D

Explanation:
AIOps stands for "Artificial Intelligence in IT Operations." This term refers to the application of artificial intelligence (AI) and machine learning (ML) technologies to enhance and automate various aspects of IT operations. By leveraging big data analytics, AIOps platforms can analyze vast amounts of data generated by IT systems to identify patterns, detect anomalies, and automate responses to operational issues.
The DevOps Institute's AIOps Foundation course emphasizes that AIOps combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination. This integration enables IT teams to proactively manage complex IT environments, improve system performance, and reduce downtime.
Implementing AIOps involves several key steps:
* Data Aggregation: Collecting and aggregating data from various IT operations sources, such as logs, metrics, and events.
* Data Analysis: Applying machine learning algorithms to analyze the aggregated data, identifying patterns and anomalies that could indicate potential issues.
* Automated Response: Utilizing AI-driven insights to automate responses to detected issues, such as triggering alerts, executing remediation scripts, or adjusting system configurations.
* Continuous Improvement: Regularly refining AI models and operational processes based on feedback and evolving data patterns to enhance the effectiveness of the AIOps solution.
By following these steps, organizations can achieve a more proactive and efficient IT operations management approach, leading to improved reliability and performance of their IT services.
For more detailed information, refer to the DevOps Institute's AIOps Foundation course materials.


NEW QUESTION # 41
The various key areas in a system work together in the following loop:

  • A. Audit, document and restore
  • B. Observe, automate, act
  • C. Observe, engage, act
  • D. Automate, iterate and fail fast

Answer: C

Explanation:
In the context of AIOps, the system operates through a continuous loop comprising three key stages:
* Observe: This initial phase involves monitoring and collecting data from various IT environments. By gathering metrics, logs, and events, the system gains visibility into its operations, enabling the detection of anomalies or performance issues.
* Engage: Once data is collected, this stage focuses on analyzing and correlating the information to identify patterns or issues. Engagement involves applying machine learning algorithms and analytics to interpret the observed data, facilitating informed decision-making.
* Act: Based on the insights derived from the engagement phase, the system takes appropriate actions to resolve identified issues or optimize performance. This may include automated responses such as scaling resources, restarting services, or alerting IT personnel for further investigation.
This cyclical process ensures that IT operations are continuously monitored, analyzed, and improved, aligning with the principles outlined in the DevOps Institute's AIOps Foundation.


NEW QUESTION # 42
At which stage does the data pipeline deduplicate data?

  • A. Enrichment/filtering
  • B. Cleaning/integration
  • C. Storage
  • D. Extraction/collection

Answer: B

Explanation:
In a data pipeline, deduplication occurs during the cleaning and integration stage. This process involves identifying and removing duplicate records to ensure data quality and accuracy. By eliminating redundancies, organizations can maintain a single source of truth, leading to morereliable analytics and decision-making.
The DevOps Institute's AIOps Foundation course underscores the importance of data cleaning and integration in preparing data for effective analysis and operational use.


NEW QUESTION # 43
What does reliability mean?

  • A. The ability to be timely and easily maintained
  • B. The ability to keep a functioning state
  • C. The ability to not create harm
  • D. The ability to perform all desired functions

Answer: B

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 # 44
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