Accurate Real Exam | Associate-Level Certification | Application
Performance Monitoring & Observability
Overview
This 2025/2026 validated resource contains the complete Dynatrace Associate
exam with accurate real questions and verified answers, directly aligned with
current Dynatrace certification standards. Essential for IT professionals, DevOps engineers,
and SREs preparing for associate-level certification and demonstrating proficiency in
Dynatrace application performance monitoring and observability.
Key Features
✓ 65-Question Certification Exam matching Dynatrace format
✓ Real-World Monitoring Scenarios with Dynatrace platform applications
✓ AI-Assisted Problem Resolution with Davis AI applications
✓ Updated 2025/2026 Dynatrace platform features and capabilities
✓ Cloud-Native Monitoring with Kubernetes and container orchestration
Content Domains
• Dynatrace Platform Fundamentals (15 Questions)
• Application Performance Monitoring (14 Questions)
• Infrastructure & Cloud Monitoring (12 Questions)
• Digital Experience Monitoring (10 Questions)
• AI-Ops & Davis AI Analysis (8 Questions)
• Alerting & Problem Resolution (6 Questions)
Answer Format
Verified correct answers in bold green with:
• Dynatrace platform feature applications
• Monitoring methodology rationales
• AI-driven analysis justifications
• Cloud-native architecture considerations
Critical Updates 2025/2026
NEW - Dynatrace Grail data lakehouse functionality
UPDATED - Kubernetes and OpenShift monitoring enhancements
REVISED - Davis AI causal relationship analysis
MODIFIED - Cloud automation and orchestration integrations
DYNATRACE PLATFORM FUNDAMENTALS (Questions 1–15)
1. The core component of Dynatrace that automatically discovers and maps
your entire technology stack is called:
a) AppMon
, b) OneAgent per 2025 Dynatrace Associate standards
c) Synthetic Classic
d) Log Analytics
b) OneAgent
Rationale: OneAgent is the auto-injecting, full-stack monitoring agent that discovers
services, processes, and dependencies without configuration.
2. Dynatrace Grail is best described as:
a) A log parser
b) A data lakehouse with schema-on-read per 2025 Grail update brief
c) A relational database
d) A time-series metric store only
b) A data lakehouse with schema-on-read
Rationale: Grail stores logs, metrics, traces, and events in a single index-free repository,
enabling ad-hoc analytics at petabyte scale.
3. Davis AI uses which approach to identify the root cause of problems?
a) Rule-based thresholds
b) Causal deterministic AI per 2025 Dynatrace documentation
c) Simple anomaly scores
d) Manual correlation
b) Causal deterministic AI
Rationale: Davis builds a real-time topology map and applies deterministic algorithms to
pinpoint causation, not just correlation.
4. Smartscape automatically creates:
a) Static CMDB diagrams
b) A real-time topology model per 2025 Smartscape tech notes
c) PowerPoint slides
d) Spreadsheet inventories
b) A real-time topology model
Rationale: Smartscape continuously discovers and visualizes all dependencies between
applications, services, processes, hosts, and data centers.
5. Which deployment model allows OneAgent to monitor without installing a
local agent?
a) Full-stack
b) Cloud-native
c) Agentless (Cloud-Workload-API) per 2025 deployment guide
d) Synthetic only
c) Agentless (Cloud-Workload-API)
Rationale: For hyperscaler serverless functions (AWS Lambda, Azure Functions)
Dynatrace ingests telemetry via cloud-native APIs—no binary deployed.
6. The minimum OneAgent version supported for production environments in
2025 is:
a) 1.227
b) 1.259+ (LTS 2025) per 2025 Dynatrace lifecycle policy
c) 1.200
d) 1.300 (unreleased)
b) 1.259+ (LTS 2025)
Rationale: Long-Term-Support releases receive 24 months of patches; earlier versions are
EOL and unsupported.