DevOps-SRE Questions and Answers

Comprehensive and Detailed Explanation From Exact Extract:

SRE emphasizes organizational alignment and collaboration, warning against siloed thinking. The SRE Book highlights: “Local optimizations at the expense of the broader system lead to inefficiency, misalignment, and reduced reliability.” When individuals or teams focus only on their own “parts” instead of shared goals (“the whole”), it results in decreased cross-team communication, isolation, operational friction, and reduced efficiency.

Option B captures this SRE-documented outcome: increased introversion (siloing) and decreased efficiency.

Option A and D describe positive outcomes that contradict SRE principles of collaboration.

Option C implies healthy sharing, which does not result from silo-first behavior.

Thus, B is correct.

Comprehensive and Detailed Explanation From Exact Extract:

In SRE incident management, Google defines several formal roles during a major incident, including Incident Commander (IC), Communications Lead, Operations/Responder, and Planning Specialist. According to the SRE Workbook: “The Planning Lead is responsible for maintaining the source-of-truth incident state document, tracking action items, and ensuring the IC has the current situation overview.” (SRE Workbook – Chapter: Incident Management). This document contains timelines, changes, decisions, diagnostics, and action items—all crucial for reducing cognitive load during high-stress situations.

Option C—Planning Specialist—is therefore correct.

Option A (Logistics Specialist) is not defined as a core SRE incident role.

Option B (Communications Lead) manages outward communication, not the live incident log.

Option D (Incident Commander) leads the incident but delegates documentation to the planning role.

Hence, option C is the only answer that aligns with SRE’s defined responsibilities.

Comprehensive and Detailed Explanation From Exact Extract:

A Service Level Indicator (SLI) is a measurement of some aspect of reliability (e.g., latency, availability, quality). One of its defining characteristics is that it must be measured over a specific time window. Without a time horizon, the SLI has no actionable meaning.

From the Site Reliability Engineering Book, Chapter “Service Level Indicators”:

“An SLI is a quantitative measure of some aspect of the level of service that is provided. SLIs are evaluated over a specific period of time in order to understand reliability as experienced by the user.”

The SRE Workbook further states:

“Every SLI must define a measurement window. Without a time horizon, the indicator cannot be used to calculate SLO compliance.”

Why the other options are incorrect:

A SLIs do not need to appear in an SLA; SLAs are external contracts, SLOs/SLIs are internal engineering tools.

B SLIs may include client-side, server-side, or network metrics depending on what reflects user experience.

D SLI agreement is not defined by SRE vs. Agile teams; it is defined by business and user need.

Thus, the correct answer is C.

Comprehensive and Detailed Explanation From Exact Extract:

Traditional IT escalation paths—before modern SRE practices—were generally based on hierarchical or functional structures. The SRE Workbook explains that SRE aims to “replace rigid hierarchical escalation paths with structured incident roles and clear authority during incidents.” (SRE Workbook – Incident Management). These older models include:

Hierarchical escalation: issues are escalated to higher managerial or senior technical tiers.

Functional escalation: issues are escalated across functional lines depending on expertise (network team, DBAs, sysadmins, etc.).

Both models are referenced throughout reliability engineering literature as “traditional escalation paths,” which SRE incident management explicitly avoids by instead using role-based escalation (IC, Communications Lead, Ops Lead, etc.).

Options 3 and 4 (Cyclical and Logical) are not recognized escalation patterns in ITSM or SRE literature.

Thus, the answer is A (1 and 2).

Comprehensive and Detailed Explanation From Exact Extract:

The SRE Book defines the Four Golden Signals of monitoring as Latency, Traffic, Errors, and Saturation. Specifically, it describes “Errors” as: “the rate of requests that fail, whether explicitly, implicitly, or by policy.” (SRE Book – Chapter: Monitoring Distributed Systems). This includes HTTP 5xx responses, timeouts, and requests served but not meeting success criteria.

This definition matches option B exactly.

Option A describes latency, not errors.

Option C describes traffic.

Option D describes saturation (resource usage).

Therefore, B is the correct and SRE-accurate description of the golden signal for errors.

Comprehensive and Detailed Explanation From Exact Extract:

The foundational definition of SRE, as stated in Google’s SRE Book, is that SRE uses software engineering as its primary tool to solve operational problems: “SRE is fundamentally doing operations work using software engineering approaches.” (SRE Book – What Is SRE?). This includes building automation, writing tools, creating pipelines, and eliminating manual work. The “engineering side” focuses specifically on applying coding practices, testing, CI/CD, version control, and automation frameworks to operational domains such as deployment, monitoring, incident response, and capacity planning.

Option D captures this precisely: using software engineering best practices to solve operational issues and drive automation.

Options A, B, and C focus too narrowly on network or infrastructure engineering. While these can be components of SRE, they do not describe its engineering foundation as Google defines it.

Thus, D is the correct answer.

Comprehensive and Detailed Explanation From Exact Extract:

Known workarounds represent toil that has no enduring value, one of the key characteristics of toil defined by the SRE framework.

From the Site Reliability Engineering Book, Chapter “Eliminating Toil”:

“Toil is work that is manual, repetitive, automatable, tactical, has no enduring value, and scales linearly with service size.”

Known workarounds fit this definition because:

They solve the same recurring problems repeatedly

They do not permanently fix the underlying issue

They consume engineer time without contributing long-term improvements

These activities lack enduring value and should be eliminated through automation or engineering fixes.

Why the other options are incorrect:

A. Linear scaling — Many forms of toil scale linearly, but this does not specifically describe workarounds.

B. Tactical — Tactical means short-term, but not all tactical work is a workaround.

C. Automatable — While some workarounds can be automated, not all are.

D. No enduring value — This is the defining trait of workaround-type toil.

Therefore, option D is correct.

Comprehensive and Detailed Explanation From Exact Extract:

Defense-in-Depth (DiD) is a layered security strategy referenced in SRE’s discussions of secure infrastructure and resilience. The perimeter layer is responsible for controlling and monitoring traffic flowing into and out of the network from external sources, such as the public Internet. This includes firewalls, intrusion detection systems, load balancers, and boundary network controls.

While SRE focuses primarily on reliability, the SRE Book stresses the importance of resilient system boundaries: “Perimeter protections are critical where external traffic enters the system.” (SRE Book – Security and Infrastructure considerations).

Option C correctly identifies the Perimeter Layer as the network boundary where data flows in/out from other networks—including the Internet.

Option A (Host layer) secures individual machines.

Option B (Physical layer) refers to hardware, power, racks, etc.

Option D (Data layer) protects stored data, not ingress/egress traffic.

Thus, C is correct.

Comprehensive and Detailed Explanation From Exact Extract:

One of the central goals of SRE is that operational work must scale sublinearly with service growth. The SRE Book states: “If operational load grows linearly with service size, the model is unsustainable. Eliminating toil is key to scaling operations.” (SRE Book – Chapter: Eliminating Toil). Toil prevents scaling because it is manual, repetitive, and tied directly to human effort.

Option C is the only answer that reflects this principle: reducing or eliminating toil enables SRE teams to support growing applications without increasing human labor proportionally.

Option A (staffing levels) does not scale sustainably.

Option B (interruptions) relate to productivity but not true scalability.

Option D (on-call rotations) affects fatigue, not the scaling of operational work.

Thus, C is the correct and SRE-authentic answer.

Comprehensive and Detailed Explanation From Exact Extract:

In the Full SRE model, reliability becomes a first-class citizen because SREs own the complete operational responsibility for the service and apply SRE principles end-to-end. The Google SRE Book describes several adoption models (Consulting, Embedded, and Full), and only the Full SRE model has SREs fully accountable for reliability outcomes.

From the Site Reliability Engineering Book, Chapter “SRE Engagement Models”:

“In the Full SRE model, the SRE team is responsible for end-to-end reliability. Reliability becomes a first-class objective, supported through SLOs, error budgets, and systematic reduction of toil.”

The Full model includes:

Full ownership of reliability

Enforcement of SLOs

Error budget policies

Engineering-driven improvement

Other models:

Consulting → SRE gives guidance but doesn’t own reliability

Embedded → temporary embedding to train teams, not full ownership

Platform → focuses on shared tooling, not service ownership

Thus, D. Full is correct.

Comprehensive and Detailed Explanation From Exact Extract:

Fixed error budgets are preferred in SRE because they encourage smaller, safer, and more predictable releases, which inherently reduces risk. A fixed budget forces the team to consistently evaluate how much reliability they can afford to trade for delivery speed each month or quarter.

From the Site Reliability Engineering Book, Chapter “Service Level Objectives”:

“Error budgets allow teams to make controlled decisions about the risk they take on. A fixed budget naturally encourages teams to release in smaller batches, which reduces the overall risk and impact of a failure.”

Similarly, the SRE Workbook states:

“When teams work within a fixed error budget, they tend to push changes in smaller increments to avoid burning the budget too quickly.”

Why the other options are incorrect:

A Fixed budgets reduce toil by reducing firefighting, not increase it.

C Fixed budgets can be exceeded; this is not a reason they are beneficial.

D Error budgets do not predict outages; they measure tolerated unreliability.

Thus, the correct and SRE-supported answer is B.

Comprehensive and Detailed Explanation From Exact Extract:

SRE and modern DevOps best practices require that build artifacts—such as binaries, container images, and deployment packages—be stored in a secure, versioned artifact repository. These repositories ensure integrity, traceability, immutability, and security of deployment packages.

While the SRE Book does not use the ITIL term DML, it emphasizes:

“All production binaries should be stored in a secure, versioned repository to ensure consistent, repeatable, and trustworthy deployments.”

— Site Reliability Engineering Book, section on Release Engineering

The SRE Workbook expands on this principle by emphasizing signed and verified artifacts:

“To ensure safe rollout, artifacts must be built once, stored securely, signed, versioned, and deployed from a controlled artifact repository.”

Why the other options are incorrect:

A A CMS manages configuration, not deployment artifacts.

B Subversion is a source code repository, not an artifact repository.

C A DML is an ITIL concept, but SRE practice does not rely on it; instead, SRE uses modern artifact repositories (e.g., GCR, ACR, Artifactory).

Thus, the correct answer is D.

Comprehensive and Detailed Explanation From Exact Extract:

SRE emphasizes decision-making based on measured data, not intuition. The SRE Book explains: “Monitoring and SLOs provide an objective basis for decision-making, replacing guesswork with quantifiable data.” (SRE Book – SLOs & Monitoring). Data enables SRE teams to understand system behavior, validate assumptions, detect anomalies, and prioritize engineering work. The primary benefit is not merely collecting data, but analyzing and interpreting it to support decisions grounded in facts rather than opinion.

Option A accurately reflects this principle: data analysis and interpretation enable fact-based decisions, which is the core justification for SRE’s reliance on SLIs and observability signals.

Option B overstates by claiming data alone is always sufficient.

Option C refers to data mining, which is not a core SRE concept.

Option D is partially true but narrower than the SRE philosophy of data-driven operations.

Thus, A is the most accurate SRE-aligned answer.

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:

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.

Comprehensive and Detailed Explanation From Exact Extract:

Traditional monitoring works well when systems are static and predictable. However, cloud-native, distributed, and microservice-based architectures create highly dynamic environments. In these cases, observability becomes more effective because it provides visibility across entire systems, rather than focusing on individual components.

From Google’s Observability guidance:

“Traditional monitoring relies on predefined dashboards and known failure modes. In modern cloud systems, component-level monitoring becomes insufficient because failures occur in ways that cannot always be predicted.”

Further, in the SRE Workbook:

“Monitoring individual components does not provide adequate visibility into complex distributed systems. Observability enables teams to understand system-wide behavior and user impact.”

Why options are incorrect:

A Observability is not inherently cheaper.

C While true, it is not the best reason; observability's benefit is broader than scale alone.

D Traditional monitoring can support containers but often becomes noisy and ineffective.

Thus, the best answer is B.

Comprehensive and Detailed Explanation From Exact Extract:

SRE and DevOps share a common view of continuous monitoring—a holistic approach that enables rapid detection, diagnosis, and response across all parts of the system. The SRE Book states: “Monitoring must enable fast detection of anomalies, quick diagnosis, and effective incident response.” Continuous monitoring includes application metrics, infrastructure signals, logs, traces, service health, and user-experience telemetry.

Option B captures this accurately: a combination of tools and processes enabling rapid incident detection and response, especially for cloud services.

Option A is partially correct but too narrow (only end-user transactions).

Option C is generic and does not emphasize continuous or rapid detection.

Option D describes infrastructure monitoring only—not full DevOps/SRE continuous monitoring.

Thus, B is the correct answer.

Comprehensive and Detailed Explanation From Exact Extract:

When a team exceeds its error budget, SRE practice requires applying error budget policies that restrict feature releases and shift focus toward reliability improvement. The idea is to prevent further degradation of user experience and ensure the service meets the agreed reliability targets.

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

“If the service exceeds its error budget, all new feature launches or risky changes are halted until reliability returns to acceptable levels. Engineering work should be directed toward addressing the causes of the budget overrun.”

This aligns with option A, which describes a reliability-focused response during sprint planning. Limiting sprint planning to post-mortem action items and reliability improvements is a direct application of error budget policies.

Additional guidance from the SRE Workbook:

“Error budget burn should directly influence decision-making. When the budget is exhausted, the team must focus on remediation work rather than new features.”

Why the other options are incorrect:

B Reviewing the error budget’s realism can be done periodically, but it is not the immediate consequence of a breach.

C Extending the error budget invalidates its purpose and is discouraged.

D Ignoring the error budget contradicts the entire SRE model and Google’s official guidance.

Therefore, A is the only correct answer.

Comprehensive and Detailed Explanation From Exact Extract:

The goal of Site Reliability Engineering (SRE) is to create ultra-scalable and highly reliable distributed software systems. This principle is clearly articulated in the foundational text of SRE, the Google Site Reliability Engineering book.

From Chapter 1: Introduction of the Site Reliability Engineering book:

"SRE is what happens when you ask a software engineer to design an operations team. Our approach to service management is rooted in our belief that engineering work to create scalable and highly reliable systems is critical to the success of modern software."

— Site Reliability Engineering Book, Chapter 1

This statement establishes that building and maintaining scalable, reliable systems is the core mission of SRE. While concepts like reducing toil (option A), implementing SLOs (option B), and aligning with DevOps (option C) are vital components of the SRE practice, they support the overarching goal — which is option D.

Therefore, the correct answer is D: To create ultra-scalable and highly reliable distributed software systems.