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| Section | Objectives |
|---|---|
| Dashboards, Reporting & Automation | - Automation and API integration - Dashboards and metrics visualization |
| Application Performance Monitoring (APM) | - Service flow analysis - Distributed tracing |
| Log Analytics & Troubleshooting | - Problem diagnostics and root cause analysis - Log search and filtering |
| Synthetic Monitoring & User Experience | - Real User Monitoring (RUM) - Synthetic tests and availability monitoring |
| Dynatrace Platform Fundamentals | - Architecture and core components - OneAgent and data collection concepts |
| Infrastructure Observability | - Cloud and container monitoring - Host and process monitoring |
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NEW QUESTION # 22
I have different segments of Business Event data, each with their own data retention policy; how can I best configure this in Dynatrace?
Answer: C
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 # 23
Which Dynatrace capability can be used to query ingested log data?
Answer: C
Explanation:
DQL (Dynatrace Query Language) is the primary language used to query ingested data in Dynatrace, including logs.
It enables:
* Advanced filtering and aggregation
* Correlation across logs, metrics, and traces
* Flexible data analysis within Grail
Other options:
* USQL is legacy
* SQL is not used
* JavaScript is not a query language in Dynatrace
Reference: Based on official Dynatrace University training materials on Grail and DQL.
NEW QUESTION # 24
What types of notifications can you set up for Security Problems? (Select all that apply)
Answer: A,B,C,D,E
Explanation:
Dynatrace allows configuring problem notifications , including security problems, through multiple integration channels:
* Email notifications for direct alerts
* Jira integration for creating and tracking issues
* ServiceNow integration for IT service management workflows
* PagerDuty integration for incident response and alerting
* Custom integrations using webhooks or APIs for flexible notification handling These integrations ensure that security problems are communicated effectively across teams and tools, enabling rapid response and resolution.
Reference: Based on official Dynatrace University training materials covering alerting, problem notifications, and integrations.
NEW QUESTION # 25
What kind of problems can appear in Dynatrace? (Select all that apply)
Answer: A,C,D,E
Explanation:
Dynatrace categorizes problems based on the type of issue detected:
* Availability - when a service or application becomes unavailable
* Errors - when there is an increase in failure rate
* Slowdown - when response times degrade
* Resource - when infrastructure resources (CPU, memory, disk) are saturated Critical is not a problem type; it is a severity level used to indicate importance, not classification.
Reference: Based on official Dynatrace University training materials covering problem detection categories.
NEW QUESTION # 26
Which Dynatrace app would be best suited to retain the results of a DQL query for later analysis?
Answer: B
Explanation:
Notebooks are the best tool in Dynatrace for retaining and reusing DQL query results .
They allow users to:
* Store DQL queries
* Keep query results for later analysis
* Combine queries with text, documentation, and visualizations
* Share insights across teams
Other options:
* Dashboards are for visualization, not query retention
* Data Explorer is for ad-hoc analysis
* Reports are more static and not designed for iterative DQL workflows
Reference: Based on official Dynatrace University training materials on Notebooks and DQL usage.
NEW QUESTION # 27
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