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AIOps-Foundation Exam Tests, AIOps-Foundation Braindumps, AIOps-Foundation Actual Test

In the such a brilliant era of IT industry in the 21st century competition is very fierce. Naturally, Peoplecert Certification AIOps-Foundation Exam has become a very popular exam in the IT area. More and more people register for the exam and passing the certification exam is also those ambitious IT professionals' dream.

Peoplecert AIOps-Foundation Exam Syllabus Topics:

Topic
Details

Topic 1

Core Technologies: Machine Learning (ML): This section of the exam measures the skills of machine learning practitioners and covers the role of AI and machine learning in AIOps. It includes discussions on supervised versus unsupervised learning, differences between ML and analytics, and training models for practical applications. A vital skill evaluated is understanding how to apply machine learning techniques to enhance operational efficiency.

Topic 2

AIOps and Operations Metrics: This section of the exam measures the skills of performance analysts and covers industry-standard metrics used to quantify the outcomes of implementing AIOps solutions.

Topic 3

AIOps Fundamentals: This section of the exam measures the skills of IT operations professionals and covers the evolution of AIOps, differentiating it from IT Operations Analytics. It also explores the current stages of an AIOps system and its significance in modern IT environments. A key skill assessed is understanding the foundational concepts that drive AIOps adoption.

Topic 4

Evaluating AIOps Impact: This section of the exam measures the skills of professionals and covers methods for measuring the effectiveness of AIOps deployments. It discusses how to assess potential benefits such as improved efficiency and reduced operational costs.

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Peoplecert DevOps Institute AIOps Foundation V1.0 Sample Questions (Q15-Q20):

NEW QUESTION # 15
What impact on incident related metrics is the desired outcome from AlOps implementation?

A. Decrease in MTTA, Increase in MTTR and Decrease in MTBF
B. Increase in MTTA, Increase in MTTR and Decrease in MTBF
C. Decrease in MTTA. Decrease in MTTR and Decrease in MTBF
D. Decrease in MTTA. Decrease in MTTR and Increase in MTBF

Answer: D

Explanation:
AIOps aims to improve incident-related metrics by:
* Decreasing Mean Time to Acknowledge (MTTA): Faster detection and acknowledgment of issues.
* Decreasing Mean Time to Resolve (MTTR): Quicker resolution through automation and actionable insights.
* Increasing Mean Time Between Failures (MTBF): Enhanced system reliability and reduced frequency of failures.
These improvements lead to more reliable IT operations, as highlighted in the DevOps Institute's AIOps Foundation course.

NEW QUESTION # 16
At which stage does the data pipeline deduplicate data?

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

Answer: D

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 # 17
The effectiveness of an AlOps implementation is dependent on what performances?

A. In-houseAl skills
B. System complexity
C. Number of data sources
D. Machine Learning Model Performance

Answer: D

Explanation:
The effectiveness of an AIOps implementation is significantly influenced by the performance of its machine learning (ML) models. These models are central to analyzing vast amounts of data, identifying patterns, and making predictions that enhance IT operations. Key factors include:
* Accuracy: The precision of the ML model in identifying and predicting issues directly impacts the reliability of the AIOps system.
* Training Data Quality: High-quality, relevant data is essential for training effective ML models.
* Model Adaptability: The ability of the model to adapt to new data and evolving system behaviors ensures sustained effectiveness.
Therefore, optimizing machine learning model performance is crucial for a successful AIOps deployment.

NEW QUESTION # 18
How do SLAs relate To AlOps?

A. There is no relationship between AlOps and SLAs
B. AlOps reduces the risk and improves SLA targets by overall improving IT Operations speed and capabilities.
C. AlOps indicates which SLOs to define in an SLA
D. AlOps automates the generation of SLA documentation

Answer: B

Explanation:
Service Level Agreements (SLAs) define the expected performance and availability standards for IT services.
AIOps enhances the ability to meet and exceed these SLA targets by improving IT operations' speed and capabilities. Through the integration of big data analytics and machine learning, AIOps enables real-time monitoring, rapid issue detection, and automated responses, reducing downtime and enhancing service reliability. This proactive approach minimizes risks associated with SLA breaches and ensures that IT services consistently meet agreed-upon performance standards.

NEW QUESTION # 19
What does reliability mean?

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

Answer: A

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 # 20
......

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Sarah Moore Sarah Moore

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