DevOps-SRE模擬試験、DevOps-SRE資格取得
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PeopleCert DevOps-SRE認定試験は、SREの原則とDevOps環境での適用方法に関する候補者の理解をテストするように設計されています。認証試験は、信頼性エンジニアリング、サービスレベルの目標(SLO)、エラー予算、監視など、SREの原則を対象としています。また、自動化、インシデント管理、サービスの信頼性テストなど、SREで使用されるプラクティスとツールもカバーしています。
DevOps-SRE資格取得 & DevOps-SRE試験復習
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PeopleCert DevOps-SRE(サイト信頼性エンジニア)認定試験は、大規模なソフトウェアシステムを効果的に管理するために必要なスキルと知識を検証するグローバルに認められた認定です。この認定は、DevOpsおよびサイトの信頼性エンジニアリングの分野で専門知識を拡大しようとしている専門家向けに設計されています。 PeopleCert DevOps-SRE認定試験は、信頼できるソフトウェアアプリケーションを設計、実装、および維持する候補者の能力を評価する厳格なテストです。
PeopleCert DevOps-SRE認定は、ソフトウェア開発、運用、インフラ管理の分野でキャリアの見通しを強化したいITの専門家に最適です。この認定は、複雑なシステムを管理し、ダウンタイムを削減し、インシデントの影響を最小限に抑えるために必要なスキルと知識を個人に提供します。 DevOpsとSREの専門家に対する需要の増加に伴い、PeopleCert DevOps-SRE認定は、個人が雇用市場で際立ってキャリアを促進するのに役立ちます。
Peoplecert PeopleCert DevOps Site Reliability Engineer (SRE) 認定 DevOps-SRE 試験問題 (Q48-Q53):
質問 # 48
Which of the following terms is BEST described by the definition below?
"The probability that the system will meet certain performance standards and yield correct output for a specific time."
- A. Durability
- B. Availability
- C. Reliability
- D. Throughput
正解:C
解説:
Comprehensive and Detailed Explanation From Exact Extract:
The SRE Book defines reliability as: "the probability that a system will perform its intended function correctly for a specified period of time." (SRE Book - Introduction). Reliability focuses on correctness and consistent performance, not simply uptime. Availability (option A) refers to system uptime or accessibility.
Durability (option C) refers to long-term data persistence. Throughput (option D) measures volume of work processed over time.
Because the definition explicitly mentions probability of meeting performance standards and correct output over time, it directly matches the SRE definition of reliability.
Thus, B is correct.
References:
Site Reliability Engineering, Introduction section on reliability definitions.
The Site Reliability Workbook, Reliability fundamentals.
質問 # 49
Which of the following BEST describes observability?
- A. A measure of how well internal states of a system can be inferred from knowledge of its external outputs
- B. Collecting data from multiple endpoints to aggregate and observe application performance
- C. Monitoring applications to detect problems and anomalies
- D. Performing fitness tests and health checks
正解:A
解説:
Comprehensive and Detailed Explanation From Exact Extract:
The term observability comes directly from control theory and refers to the ability to infer the internal state of a system from its external outputs. Modern SRE and observability practices adopt this definition.
Google's Site Reliability Engineering guidance (SRE Book Addendum on Observability) states:
"Observability is a property of a system that allows operators to understand its internal state by examining its outputs such as logs, metrics, and traces." This aligns exactly with Option C, the formal definition.
Why the other options are incorrect:
* A Monitoring is part of observability, but observability is much broader.
* B Health checks are simply one signal; they do not represent observability.
* D Data collection is a mechanism, not the definition of observability itself.
Thus, C is the correct and academically accurate definition.
References:
Site Reliability Engineering Book Addendum: Observability
Google Cloud Architecture Framework: Observability Principles
質問 # 50
What metrics will embracing failure help to improve?
- A. Mean time to detect and mean time between system incidents
- B. Empirical test data and mean time to recover service
- C. Change lead time and change failure rate
- D. Mean time to detect and mean time to recover
正解:D
解説:
Comprehensive and Detailed Explanation From Exact Extract:
Embracing failure-through practices such as blameless postmortems, chaos engineering, and proactive detection-enables organizations to improve their incident response performance. This directly improves:
* MTTD (Mean Time to Detect)
* MTTR (Mean Time to Recover)
The Site Reliability Engineering Book, chapter "Postmortem Culture," states:
"By examining failures without blame and learning from them, organizations improve their ability to detect issues faster and recover more quickly." Similarly, in the SRE Workbook, section on incident response:
"Learning from incidents is essential to reducing time to detection and time to mitigation." Why the other options are incorrect:
* A MTBSI (Mean Time Between System Incidents) is influenced by architecture and testing, not directly by embracing failure.
* B These are DORA metrics - important, but not primarily tied to failure-embracing practices.
* C Too vague and not a standard SRE metric pair.
Thus, D is the correct answer.
References:
Site Reliability Engineering Book, "Postmortem Culture"
SRE Workbook, "Incident Response"
質問 # 51
Which of the following is the BEST example of an SRE team that embraces full-service ownership?
- A. The team is responsible for the coding and improvement of the application.
- B. The team is accountable for the application development and performance.
- C. The team is responsible for application performance and reliability aspects.
- D. The team is accountable for coding, shipping, and improving the application.
正解:D
解説:
Comprehensive and Detailed Explanation From Exact Extract:
In SRE practice, "full-service ownership" means the same team is responsible for the service across its entire lifecycle: design, development, deployment, operation, and continuous improvement. Google's Site Reliability Engineering: How Google Runs Production Systems describes SRE as a software-engineering- focused approach to operations, where engineers are responsible not only for writing the code but also for running it in production and improving its reliability over time. This aligns with the "you build it, you run it" model, which removes the traditional wall between development and operations and makes one team accountable for the whole service.
Option D - "The team is accountable for coding, shipping, and improving the application" - best matches this concept because it explicitly includes building (coding), releasing (shipping), and iterating (improving).
Options A and B do not clearly include operational responsibility, and option C narrows the focus only to performance and reliability, omitting ownership of development and releases. Therefore, D most accurately reflects full-service ownership as described in SRE literature.
References (conceptual alignment):
* Site Reliability Engineering: How Google Runs Production Systems, Betsy Beyer et al., O'Reilly, particularly:
* Introduction & "What Is Site Reliability Engineering?"
* "Introduction to SRE at Google" and discussions of dev/ops ownership boundaries.
質問 # 52
Which of the following BEST defines a Service Level Indicator (SLI)?
- A. A quantitative measure of some aspect of the level of service that is provided
- B. A quantitative target value for aspects of the level of service that are provided
- C. A subjective measure of the consequences if the level of service is not achieved
- D. A subjective assessment of the performance aspects of the level of service required
正解:A
解説:
Comprehensive and Detailed Explanation From Exact Extract:
Google's definition is explicit: "An SLI is a carefully defined QUANTITATIVE measure of some aspect of the level of service provided." (SRE Book - Chapter: Service Level Objectives). Examples include error rate, latency, throughput, and availability. SLIs are measurements, not targets-targets are SLOs.
Option D repeats Google's definition almost exactly.
Option C incorrectly describes an SLO (a target), not an SLI.
Options A and B mention subjective assessments-SRE explicitly rejects subjectivity in measurement, stating: "SLIs must be objective and measurable." Thus, D is the correct and SRE-authentic answer.
References:
Site Reliability Engineering, Chapter: "Service Level Objectives."
The Site Reliability Workbook, Chapter: "Implementing SLOs."
質問 # 53
......
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