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

Comprehensive and Detailed Explanation From Exact Extract:

Achieving high availability in SRE practice is driven by accurate measurement of what matters and fast detection and correction of issues. According to Google’s Site Reliability Engineering Book, measurement of critical user-facing signals is foundational: “SLIs must capture the aspects of the service that are most critical to users and must be measured with high accuracy.” (SRE Book – Chapter: Service Level Objectives). Without measuring the critical aspects of a service—latency, errors, availability, and quality—teams cannot make informed decisions or detect degradation effectively.

The SRE book also emphasizes reducing MTTR (Mean Time to Repair) and tightening the feedback loop between detection and correction. Google states: “Reducing the time between detection and mitigation is one of the most effective levers for improving availability.” (SRE Book – Chapters on Incident Response & Monitoring). Rapid identification and resolution directly improve a system’s availability and resilience.

Option D (1 and 4) is the only choice that correctly reflects SRE principles.

Measuring critical aspects → essential for correct SLO/SLI alignment

Maintaining a short interval between detection and correction → drives higher availability

Options including staff performance measurement or generic development relationships are not mentioned as availability-driving factors in the SRE literature.

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:

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.

Comprehensive and Detailed Explanation From Exact Extract:

SRE supports microservices architecture because it improves reliability by reducing blast radius, allowing independent deployments, and enabling scalable autonomous teams. The SRE Book notes: “Microservices enable teams to independently iterate and improve reliability without the constraints of large monolithic systems.” (SRE Book – Distributed Systems). One of the strongest reasons to adopt microservices is modernizing and refactoring large legacy monoliths, allowing them to be broken into independently deployable, maintainable components.

Option A is therefore the best justification.

Options B, C, and D may involve architectural choices, but they do not explain why microservices are the preferred architecture for reliability and scalability.

Thus, A is correct.

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.