PeopleCert DevOps-SRE - Site Reliability Engineering (SRE) Foundation v1.2

Comprehensive and Detailed Explanation From Exact Extract:

The SRE model heavily emphasizes cross-functional teamwork. In the SRE Workbook and chapters addressing incident management, Google defines collaboration as “bringing together individuals with diverse expertise to jointly solve problems and make decisions.” Collaboration implies active engagement, shared goals, and joint execution—exactly what the statement describes.

Option B, Collaboration, fits perfectly because effective problem-solving during incidents, launches, or reliability engineering work requires engineers from multiple disciplines (e.g., SRE, developers, network teams, product teams) to work together directly.

Option A (Coordination) is more about task alignment, not joint problem-solving.

Option C (Communication) is necessary but insufficient for solving problems together.

Option D (Cooperation) implies helpfulness, not necessarily integrated problem-solving.

Thus, B is the correct concept.

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.

Comprehensive and Detailed Explanation From Exact Extract:

The Westrum Organizational Culture Model categorizes organizations based on how effectively they allow information to flow, particularly in high-risk and high-performance environments. This model is widely referenced in SRE and DevOps practices and is cited by Google in their SRE culture guidance.

The Westrum model identifies three culture types:

Pathological (power-oriented)

Bureaucratic (rule-oriented)

Generative (performance-oriented)

From the SRE Workbook and Google’s DevOps Research (DORA):

“The Westrum model is a taxonomy of organizational cultures based on how information flows. Generative cultures—with high cooperation and open information flow—correlate with higher reliability and better outcomes.”

Why the other options are incorrect:

A Deployment frequency is a DORA metric, not Westrum’s focus.

C Resource flow is unrelated to Westrum.

D While communication affects design, Westrum specifically studies information flow as a cultural health indicator, not structural design.

Thus, the correct answer is B.

Comprehensive and Detailed Explanation From Exact Extract:

A Heritage Reliability Engineer (HRE) focuses on improving and stabilizing legacy systems, including batch processing systems and older architectures that need modernization. Google uses this concept when applying SRE principles to older platforms that cannot be easily migrated.

From Google’s reliability role expansions:

“Heritage Reliability Engineering applies SRE practices to legacy systems, improving batch processing, stability, and helping teams re-platform to modern architectures.”

This role is specifically aligned with:

Batch job optimization

Migration from legacy systems

Bringing older platforms closer to SRE standards

Thus, the correct answer is B.

Comprehensive and Detailed Explanation From Exact Extract:

One of SRE’s strengths is using software engineering and automation to reduce manual, process-heavy work. This aligns perfectly with ITSM goals around repeatability, compliance, and quality.

The SRE Workbook, section “SRE and ITIL Integration,” explains:

“SRE can complement ITSM by applying automation and engineering practices to reduce manual process load, increase consistency, and meet compliance requirements.”

Examples include:

Automating change processes

Automating incident response flows

Improving configuration consistency

Reducing ticket-driven toil through engineering

Why the other options are incorrect:

A CAB approvals are not governed by error budgets

C Ticket acceleration is not the goal of SRE

D Engineering CMDBs is not the primary mechanism for ITSM alignment

Thus, B is correct.

Comprehensive and Detailed Explanation From Exact Extract:

SRE and DevOps release engineering define a canary release as rolling out new features to a small subset of users to validate reliability and performance before full release. The SRE Book states: “Canarying is the practice of releasing changes to a small percentage of users or servers first to detect issues before global rollout.” This minimizes risk by catching regressions early without impacting the entire user base.

Option B fits this definition exactly.

Option A (rolling wave) is a deployment pattern but not canarying.

Option C resembles phased rollout but not specifically canary release.

Option D describes testing, not production canary deployment.

Thus, B is correct.

Comprehensive and Detailed Explanation From Exact Extract:

Before defining any technical details of an SLO, the SRE guidance is clear: the conversation must start from the customer’s point of view. SLOs exist to represent what reliability level users genuinely require—not internal assumptions or engineering preferences.

The SRE Workbook, Chapter “Implementing SLOs,” states:

“The process must begin by understanding what your users need from the service and what good performance actually means from the user’s perspective.”

Likewise, in the Site Reliability Engineering Book:

“SLOs capture the reliability target that makes sense for the users and the product, which is why defining them must begin with understanding the user experience.”

This means that SLO development begins with analyzing:

What users value

What reliability thresholds they notice

What failures matter to them most

Only after this understanding is established should teams discuss metrics, thresholds, SLIs, and error budgets.

Why the other options are incorrect:

A. Identify toil — Relevant to operations, not SLO creation.

B. Evaluate automation — Important for reducing toil, unrelated to initial SLO definition.

D. Assess resources — Planning happens after SLO definition, not before.

Thus, the correct answer is C.

Comprehensive and Detailed Explanation From Exact Extract:

The term “wisdom of production” refers to the insights gained from real systems running under actual production conditions. Only production environments exhibit real user behavior, real workloads, true performance characteristics, and authentic failure modes. This concept is rooted in the SRE philosophy that production is the ultimate source of truth for understanding system behavior.

From the SRE Workbook, Chapter “Monitoring”:

“Only production provides the full truth about how a system behaves under real workloads. Production is the ultimate source of wisdom about the system.”

This makes clear that wisdom gained from production is indispensable. Testing and staging environments cannot reproduce all real-world variables, usage patterns, and failure pathways.

Why the other options are incorrect:

A describes engineering approaches but does not define “wisdom of production.”

C is incorrect because staging environments do not provide production wisdom.

D relates to automation strategy, not production insights.

Thus, the accurate meaning of the term is B — The wisdom gained from something running in production.

Comprehensive and Detailed Explanation From Exact Extract:

SLIs must measure user experience, and sometimes server-side metrics alone do not show the full picture. Client-side data may reveal issues such as:

Slow networks

Browser rendering delays

Mobile device limitations

CDN performance issues

Last-mile latency

The Site Reliability Engineering Book, Chapter “Service Level Indicators,” states:

“Server-side metrics do not always fully capture the user experience. In many cases, client-side measurements are required to understand the actual reliability delivered to users.”

The SRE Workbook reinforces:

“Some SLIs require client instrumentation because user-visible performance problems may not be observable from backend systems alone.”

Why the other options are incorrect:

B SLA negotiation has nothing to do with SLI selection.

C Automation engineering is unrelated to client-side measurement needs.

D Achievability of SLOs does not determine whether client-side data is needed; accuracy of user-experience measurement does.

Thus, the correct answer is A.