Datadog SRE Foundations Practice Test
Gana confianza para Datadog SRE Foundations. Practica los conceptos, comprende las respuestas y refuerza tus conocimientos pregunta a pregunta.
Probar una preguntaDescripción y detalles del examen
The Datadog SRE Foundations certification is a professional credential designed for Site Reliability Engineers, DevOps practitioners, platform engineers, and cloud architects who want to validate their expertise in building and operating reliable, observable systems using Datadog. This exam focuses on the core pillars of modern SRE practice: incident management and alerting, observability practices, service level objectives (SLOs) and error budgets, and foundational SRE principles. Candidates will demonstrate proficiency in configuring intelligent alerting to reduce noise, designing dashboards and monitors for effective troubleshooting, defining and tracking SLOs to balance reliability with feature velocity, and applying SRE methodologies such as error budgets, toil reduction, and blameless postmortems. The certification validates hands-on knowledge of Datadog's platform, including its monitoring, logging, APM, and incident response capabilities. Achieving this certification signals to employers that you possess the practical skills to implement reliability engineering at scale, reduce mean time to resolution (MTTR), and align technical operations with business objectives. It is an ideal stepping stone for professionals pursuing advanced Datadog certifications or seeking to formalize their SRE expertise in cloud-native environments.
Preguntas de Muestra
Elige una respuesta y consulta la explicación para ver cómo funciona la práctica.
A customer profile service with a write-through cache and a read replica shows a burn-rate alert and a separate symptom alert for the same SLO violation. The team uses monitor-based SLOs, grouped service dashboards, and Slack incident channels. What does the error budget represent?
A payments gateway proxy with idempotency keys, fraud checks, and a vendor API dependency has a dependency outage during the primary on-call's handoff window. The team uses synthetic tests, APM error tracking, log-based metrics, and PagerDuty escalation. A team wants an SLO for successful checkout events emitted as custom metrics. Which SLO type is likely appropriate?
A checkout API running on Kubernetes behind an ALB with Redis and PostgreSQL dependencies starts returning intermittent 503s after a deploy while synthetic checks still pass. The team uses Datadog monitors for p95 latency, 5xx rate, queue age, and a 30-day availability SLO. Which statement best captures the SRE objective for the service?
A streaming analytics endpoint using NGINX, a Rust service, and ClickHouse shows p99 latency spikes only for paid-plan tenants during peak traffic. The team uses monitor-based SLOs, grouped service dashboards, and Slack incident channels. What Datadog feature can automate a response step after an incident trigger or event?
A warehouse scheduling service with a web UI, background jobs, and a message bus has no customer-facing outage, but the team spends 6 hours on repetitive cleanup. The team uses multi-window burn-rate monitors, notebook runbooks, and automated rollback workflows. A service queues requests for two minutes during overload rather than rejecting them. Users time out. What is better?
Oportunidades profesionales y salario
Los rangos son cifras del mercado de EE. UU. salvo que se muestre un rango local.
Qué temas cubre este examen
Usa las ponderaciones publicadas de los dominios para planificar tu estudio. Los resultados de práctica no predicen tu puntuación en el examen de certificación.