PeopleCert DevOps-SRE Exam With Confidence Using Practice Dumps

Comprehensive and Detailed Explanation From Exact Extract:

Application Performance Management (APM) refers to a set of tools and practices used to monitor and manage the performance, behavior, and availability of software applications. Although APM is not defined exclusively in the Google SRE Book, it is described within the broader context of monitoring and observability.

In the SRE Workbook, under Monitoring:

“Application monitoring tools provide insights into the performance, latency, availability, and behavior of applications to help engineering teams maintain reliability.”

Industry-standard APM frameworks (including Google Cloud Operations Suite, formerly Stackdriver) define APM as:

“The monitoring and management of application performance and availability.”

Why the other options are incorrect:

A describes telemetry, not APM.

C describes system monitoring (infrastructure), not application performance monitoring.

D refers to communication of metrics, not the monitoring of application performance.

Therefore, B is the correct definition.

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.

Comprehensive and Detailed Explanation From Exact Extract:

The SRE Book clearly states: “A target of 100% availability is neither realistic nor economically viable at scale.” Complex distributed systems inherently experience failures, network issues, hardware faults, and dependency outages. SRE emphasizes embracing this reality through error budgets, which assume some failure and allow engineering resources to be used efficiently.

The primary reason not to set 100% availability is that it is impossible to achieve reliably and leads to wasted engineering effort. SRE states: “Chasing perfect reliability leads to dramatically increasing costs with diminishing returns.”

Option A captures this rationale precisely.

Options B, C, and D are secondary or incorrect interpretations and do not come directly from SRE principles.

Thus, A is the correct SRE-aligned answer.