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AIOps-Foundation软件版,AIOps-Foundation學習筆記
所有的IT人士都熟悉的Peoplecert的AIOps-Foundation考試認證,並且都夢想有那頂最苛刻的認證,這是由被普遍接受的Peoplecert的AIOps-Foundation考試認證的最高級別認證,你可以得到你的職業生涯。你擁有了它嗎?所謂最苛刻,也就是考試很難通過,這個沒關係,有VCESoft Peoplecert的AIOps-Foundation考試認證培訓資料在手,你就會順利通過考試,並獲得認證,所謂的苛刻是因為你沒有選擇好的方式方法,選擇VCESoft,你將握住成功的手,再也不會與它失之交臂。
Peoplecert AIOps-Foundation 考試大綱:
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最有效的AIOps-Foundation软件版-最新考試題庫幫助妳壹次性通過考試
一般的Peoplecert認證考試是AIOps-Foundation專家利用專業經驗研究出來的考試題和答案。而VCESoft正好有這些行業專家為你提供這些考試練習題和答案來幫你順利通過考試。我們的VCESoft提供的考試練習題和答案有100%的準確率。購買了VCESoft的產品你就可以很容易地獲得Peoplecert的認證證書,這樣你在Peoplecert行業中又有了個非常大的提升。
最新的 PeopleCert DevOps AIOps-Foundation 免費考試真題 (Q30-Q35):
問題 #30
Surfacing relevant notifications and alerts from among large volumes of alerts is satisfied by this use case:
- A. Anomaly detection
- B. Event correlation
- C. Alert noise reduction
- D. Root cause analysis
答案:C
解題說明:
Alert noise reductionis the use case focused on identifying and prioritizing relevant alerts from a large volume of notifications, which helps prevent alert fatigue for IT teams.
By reducing noise, AIOps enables teams to focus on significant issues that require immediate attention, improving operational efficiency.
The DevOps Institute's AIOps Foundation course highlights this capability as a core advantage of AIOps systems.
問題 #31
Data that does not have a predefined structure or format and is usually in the form of text-heavy content is usually described as:
- A. Time-series data
- B. Structured data
- C. Unstructured data
- D. Semi-structured data
答案:C
解題說明:
Unstructured data lacks a predefined structure or format and is often text-heavy, including documents, emails, social media posts, and multimedia content. Unlike structured data, which resides in fixed fields within databases, unstructured data does not fit neatly into relational databases. The DevOps Institute's AIOps Foundation course highlights the challenges and importance of processing unstructured data in IT operations, as it contains valuable insights that can enhance decision-making and operational efficiency.
問題 #32
Which of the 5Vs is concerned with data quality, missing data or false positive alerts?
- A. Veracity
- B. Value
- C. Volume
- D. Velocity
答案:A
解題說明:
Veracity refers to the quality and trustworthiness of data, addressing issues such as data accuracy, consistency, and the presence of noise or false positives. In the context of AIOps, ensuring high data veracity is essential for effective machine learning and analytics, as poor-quality data can lead to incorrect insights and suboptimal decision-making.
The AIOps Foundation course highlights the significance of data veracity in building reliable AI-driven IT operations.
問題 #33
What can one use to track system status if applying SRE principles?
- A. Number of commits to a repo
- B. Number of alerts
- C. User defect reports
- D. Error budgets
答案:D
解題說明:
In Site Reliability Engineering (SRE), error budgets are a key metric for tracking system status and balancing reliability with the pace of innovation.
* Error Budgets: An error budget quantifies the acceptable level of system unreliability over a specific period. It represents the permissible amount of downtime or failures, allowing teams to make informed decisions about deploying new features versus focusing on system stability.
By monitoring error budgets, organizations can effectively manage trade-offs between releasing new functionalities and maintaining system reliability, a practice supported by the DevOps Institute's AIOps Foundation principles.
問題 #34
What is a key difference between ITOA and AlOps?
- A. Related to IT Operations
- B. Need for Big Data as source of information
- C. Can improve system resiliency
- D. Change from reactive to proactive
答案:D
解題說明:
IT Operations Analytics (ITOA)focuses on gathering and analyzing data from IT systems to provide insights into operations. However, it is largely reactive in nature, dealing with problems after they have occurred.
AIOpsmoves beyond ITOA by employing AI and machine learning techniques to proactively identify potential issues, anomalies, and trends before they become critical, enabling a predictive and preventive approach.
The key differentiator is the shift"from reactive to proactive", which allows IT teams to address problems more effectively and reduce downtime.
DevOps Institute materials emphasize this transformation as foundational to AIOps adoption.
問題 #35
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AIOps-Foundation學習筆記: https://www.vcesoft.com/AIOps-Foundation-pdf.html
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