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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Installation & Configuration | 20% | - Infrastructure monitoring configuration - Tags and management zones - ActiveGate setup - OneAgent deployment - Application instrumentation |
| Topic 2: Capabilities & Monitoring | 24% | - PurePath distributed tracing - Data gathering and analysis - How Dynatrace operates in your environment - Full-stack performance monitoring of applications - Smartscape real-time topology |
| Topic 3: Components & Architecture | 8% | - Grail data lakehouse - Dynatrace structure and components - OneAgent, ActiveGate, Dynatrace Platform - System communication and data reporting - Integration with 3rd party systems |
| Topic 4: Problems & Resolution | 14% | - Event correlation - Problem lifecycle and root cause analysis - Davis AI anomaly detection - Alerts and notifications |
| Topic 5: Reporting & Analysis | 18% | - DQL (Dynatrace Query Language) - Log management and analytics - Dashboards and visualization - Notebooks and investigation - Business analytics and KPIs |
| Topic 6: Digital Experience Management (DEM) | 16% | - User session analysis - Real User Monitoring (RUM) - Mobile monitoring (iOS & Android) - Synthetic monitoring |
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NEW QUESTION # 35
I have different segments of Business Event data, each with their own data retention policy; how can I best configure this in Dynatrace?
Answer: E
Explanation:
Dynatrace allows configuring different data retention policies for Business Events by using custom buckets within Grail.
Custom buckets enable:
* Separation of data into logical segments
* Assignment of different retention periods per dataset
* Better control over storage and compliance requirements
Other options do not provide this capability:
* Account Management policies do not control Grail data retention
* Support tickets are not a configuration mechanism
* Log and Events viewer is for analysis, not configuration
* Business events configuration alone does not define retention segmentation Reference: Based on official Dynatrace University training materials covering Grail and data retention management.
NEW QUESTION # 36
Your team has to investigate the performance of a database. Assuming all monitoring sources for a database are available, what tools can you use to find database performance information?
Answer: D
Explanation:
The 'Databases' app in Dynatrace offers a comprehensive, vendor-agnostic view of all monitored databases. It consolidates performance metrics such as CPU usage, memory consumption, active sessions, response times, and failed connections. It is designed to give users a centralized location for investigating the health and performance of databases, making it the primary tool for such tasks. The app enables teams to correlate issues with underlying infrastructure, understand resource consumption, and identify performance bottlenecks directly tied to the database.
Provided dashboards from a database extension may contain useful visualizations but lack the breadth of metrics and insights that the dedicated Databases app provides. Synthetic tests are primarily used for simulating user behavior to test availability and performance from the user's perspective-not for internal database monitoring. Looking at service data can help in understanding application-level issues but does not deliver detailed or direct metrics from the database layer.
Reference: Based on official Dynatrace University training materials and product documentation.
NEW QUESTION # 37
Select the topology levels that support the viewing of Problems. (Select all that apply)
Answer: A,C,D,F
Explanation:
Dynatrace Problems can be viewed across key monitored entities:
* Processes
* Hosts
* Applications
* Services
These are core topology layers where Davis AI correlates issues.
Other options:
* Synthetics and Data Center are not primary topology levels for problem views Reference: Based on official Dynatrace University training materials on Smartscape and problem analysis.
NEW QUESTION # 38
I need fine-grained control of the Business Events data ingested. Adding which attribute allows me to achieve this?
Answer: B
Explanation:
The dt.security.context attribute enables fine-grained access control over ingested data, including Business Events.
It allows:
* Segmentation of data
* Restricting access to specific users or groups
* Applying security boundaries to sensitive datasets
Other attributes are related to tracing:
* dt.traceid and dt.spanid are for distributed tracing
* dt.entity.process_group_instance links data to entities
Only dt.security.context provides control over data access and segmentation.
Reference: Based on official Dynatrace University training materials covering Grail and data security.
NEW QUESTION # 39
I need to take my live environment offline while I perform an upgrade. However, the upgrade will overlap with scheduled Synthetic tests. What can I configure in Dynatrace to avoid false alerting?
Answer: B
Explanation:
A Maintenance Window in Dynatrace allows you to suppress monitoring alerts during planned downtime or maintenance activities. When configured, it prevents problem detection and alerting for the specified entities and timeframe.
This ensures that:
* Scheduled Synthetic failures during maintenance are not treated as real incidents
* Alert noise is reduced
* Teams can perform upgrades without triggering unnecessary alerts
Other options are not suitable:
* Credential vault manages secrets
* Synthetic on-demand execution manually triggers tests
* Deleting monitors is not a practical or recommended solution
Reference: Based on official Dynatrace University training materials on maintenance windows and alert suppression.
NEW QUESTION # 40
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