Dynatrace-Associate日本語受験教科書 & Dynatrace-Associate認定試験トレーリング

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Dynatrace Dynatrace-Associate 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • Foundational Platform Capabilities: Covers the core features and navigation of the Dynatrace platform, including entity relationships, tagging, and how data is collected.
トピック 2
  • Synthetics: Covers the creation and monitoring of synthetic tests to simulate user interactions and proactively detect availability or performance issues.
トピック 3
  • Security: Covers vulnerability detection, security alerting, and how Dynatrace identifies and prioritizes security risks across the environment.
トピック 4
  • Traces: Covers distributed tracing and PurePath technology to track and analyze individual transactions end-to-end across services.
トピック 5
  • Log Investigation: Covers querying, filtering, and analyzing log data within Dynatrace to troubleshoot and identify root causes of problems.
トピック 6
  • User Experience Monitoring: Covers real user monitoring (RUM) to track and analyze how end users interact with and experience web and mobile applications.
トピック 7
  • Dashboards: Covers building and customizing dashboards to visualize and communicate observability data across teams and stakeholders.
トピック 8
  • Reporting and Analysis: Covers tools and methods for analyzing observability data and generating insights to support performance and operational decisions.
トピック 9
  • Kubernetes Infrastructure: Covers monitoring and observability of Kubernetes clusters, workloads, and containerized environments within Dynatrace.

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Dynatrace Associate Certification Exam 認定 Dynatrace-Associate 試験問題 (Q53-Q58):

質問 # 53
Log files from my application may contain messages with errors. Whenever messages like these occur, we wish to notify support teams to investigate. Which Dynatrace feature would best address this ask?

正解:E

解説:
Log Events allow Dynatrace to detect specific patterns (such as error messages) in logs and automatically trigger alerts.
They enable:
* Detection of error patterns in logs
* Creation of events/problems
* Notification of support teams
Other options:
* Log Processing rules transform logs, not alert
* Anomaly detection rules are metric-based
* Log Metrics convert logs into metrics but don't directly alert
* Log Viewer is for manual inspection
Reference: Based on official Dynatrace University training materials on log monitoring and alerting.


質問 # 54
I want to use Dynatrace's global network of Synthetic Monitoring locations to monitor my application, which capability provides this?

正解:C


質問 # 55
What Dynatrace tool is utilized to initially perform Application Security monitoring?

正解:D

解説:
OneAgent is the primary component used to initially enable Application Security (AppSec) monitoring in Dynatrace.
It automatically:
Instruments application code
Detects vulnerabilities at runtime
Captures security-related data such as code-level weaknesses and attack vectors This built-in capability allows Dynatrace to provide continuous application security without requiring additional manual instrumentation.
AppSec Apps are used to analyze and visualize detected vulnerabilities but rely on data collected by OneAgent.
ActiveGate handles communication and routing.
OpenTelemetry is used for telemetry ingestion, not native AppSec monitoring.
Reference: Based on official Dynatrace University training materials covering Application Security and OneAgent capabilities.


質問 # 56
Which of the cloud providers does Dynatrace natively support without extensions?

正解:B、C、D

解説:
Dynatrace provides native integration (without requiring extensions) for the major hyperscalers:
* Amazon Web Services (AWS)
* Microsoft Azure
* Google Cloud Platform (GCP)
These integrations provide deep visibility into cloud services, APIs, and metrics.
Other providers:
* DigitalOcean and IBM Cloud are not natively supported at the same level and typically require extensions or custom integration.
Reference: Based on official Dynatrace University training materials on cloud platform monitoring.


質問 # 57
What steps would I need to perform to analyze logs?

正解:A、D

解説:
To analyze logs in Dynatrace, two essential steps are required:
* Ingest logs into Dynatrace - logs must first be collected and stored in the platform (Grail)
* Use DQL (Dynatrace Query Language) - to query, filter, and analyze the ingested log data These steps allow users to extract insights, detect issues, and correlate logs with other observability data.
Other options are not part of log analysis:
* RUM is for user experience monitoring
* Distributed Traces are for request tracking
* Operator is for Kubernetes deployment
Reference: Based on official Dynatrace University training materials on log monitoring and DQL.


質問 # 58
......

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