매달, 우리는 1000명 이상의 사람들이 시험 준비를 잘하고 시험을 잘 통과할 수 있도록 도와줍니다.
IBM Certified Instana Observability v1.0.277 Administrator - Professional 온라인 연습
최종 업데이트 시간: 2025년11월17일
당신은 온라인 연습 문제를 통해 IBM C1000-189 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 C1000-189 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 95개의 시험 문제와 답을 포함하십시오.
정답:
Explanation:
The Instana agent uses configurable logging levels to balance verbosity and operational clarity. IBM’s official documentation clearly notes: "The default Instana Agent log level is set to INFO, providing important system messages without excessive output volume." Info-level logging captures initialization events, registration details, sensor activations, and important state changes during runtime. Higher verbosity levels, such as DEBUG or TRACE, are reserved for troubleshooting or engineering analysis and generally disabled by default to prevent log overgrowth or performance penalties. WARN and ERROR levels handle exception events but do not constitute day-to-day operational detail. Administrators may raise or lower the logging level dynamically through environment variables or agent configuration files if deeper insights are needed for debugging sensor or connectivity problems. Keeping INFO as the baseline gives operators coherent visibility of normal proceedings while maintaining efficiency and simplicity in operational monitoring.
Reference: IBM Instana Observability Documentation (v1.0.307) C Agent Logging Configuration and Default Settings.
정답:
Explanation:
Within Instana, action script sensors execute administrative or diagnostic commands in context of the runtime environment that hosts the Instana agent. The current IBM documentation specifies: "Action scripts are executed by the Instana agent process on the monitored host using the permissions and context of that agent." The agent serves as a self-contained runtime capable of executing defined scripts, invoking system-level or application-specific logic safely within its host boundary. This design enhances automation and extensibility while respecting host-level security because the execution does not escalate privileges beyond the agent’s service account. Instana ensures that scripts running within the agent context inherit its environment variables and operational limits, guaranteeing consistency and preventing user-specific execution inconsistencies. Other answer options (service agent, container, or logged-in user) do not reflect the actual architectural control documented by IBM, where the primary host agent controls all action-based script invocations.
Reference: IBM Instana Observability Documentation (v1.0.307) C Action Script Sensor Execution Context.
정답:
Explanation:
Instana documentation differentiates user personas, with the DevOps role centered on continuous improvement, automation, and reliability engineering. The IBM guide specifies: "DevOps roles use Instana to ensure application stability and security through automated alerting, incident management workflows, and adaptive configuration updates." Instana assists DevOps teams by detecting anomalies immediately through Smart Alerts, contextual health signatures, and automated remediation routines (via actions or webhooks). These functions align with Site Reliability Engineering practices, aiming to ensure service quality while enforcing rapid feedback loops. Automated configuration data updates synchronize agent sensors and dependencies without manual intervention, supporting faster CI/CD cycles. This differs from infrastructure or developer-focused responsibilities―here, emphasis is on achieving observability at scale for system operations. The integration of performance metrics, distributed tracing, and intelligent alerting allows DevOps teams to iterate on monitoring configurations alongside continuous deployment, keeping microservice systems stable under constant change.
Reference: IBM Instana Observability Documentation (v1.0.307) C Role-Based Usage, DevOps Persona Overview.
정답:
Explanation:
IBM Instana integrates natively with Prometheus to unify metric ingestion without disrupting existing telemetry setups. The configuration parameter remote_write enables this linkage. The official documentation states: "The remote_write configuration enables Prometheus to send data to Instana, where those metrics are displayed either as Prometheus entities or merged into process custom metrics." Instead of storing them only within Prometheus, Instana pulls remote_write relay feeds to create comprehensive, unified metrics views in its dashboard. This approach avoids duplicate monitoring systems and allows alerting across both Prometheus and Instana data seamlessly. The parameter does not configure outbound writing by Instana back into Prometheus―data always flows from Prometheus to Instana in this architecture. This integration respects Prometheus scraping principles yet centralizes analysis within Instana, achieving correlation between imported numerical time-series values and native metrics at the application or process layer.
Reference: IBM Instana Observability Documentation (v1.0.307) C Prometheus Integration, remote_write Setup.
정답:
Explanation:
When integrating Grafana with Instana, the plugin communicates using RESTful interactions over the HTTP protocol. IBM’s integration guide clearly explains: "The Instana DataSource Plugin for Grafana communicates with the Instana backend via HTTP-based REST APIs to query metrics and event data." This ensures secure TLS-encrypted data transport and allows compatibility with Grafana’s native data source management features. HTTP is chosen due to its simplicity, standardization, and suitability for web API integrations, allowing Grafana to query time-series data from Instana and automatically populate dashboards. The plugin retrieves metrics, trace-level summaries, and service health states over HTTP GET and POST requests. Other options such as gRPC are used only internally between microservices, SOP is not a standard communication protocol, and JDBC is limited to databases. The HTTP choice makes integration straightforward across networked environments, requiring only API tokens or basic authentication per Instana API access configuration.
Reference: IBM Instana Observability Documentation (v1.0.307) C Grafana Plugin Integration and REST API Connectivity.
정답:
Explanation:
Scheduling maintenance windows in IBM Instana Observability allows teams to define planned downtimes or service windows without triggering false alerts. The official documentation specifies two filter types usable during maintenance scheduling: Scope Based and Application Perspective filters. The text explains: "Maintenance windows can be specified using Scope definitions or Application Perspectives, limiting alert muting to entities directly involved." Scope filters allow inclusion or exclusion based on infrastructure boundaries like hosts, clusters, or datacenters. Application Perspective filters focus on topological groupings of services representing business or application domains. By combining these filters, teams can ensure precision―muting only relevant sensors, metrics, or dependencies during upgrades or patching periods―while preserving alert integrity elsewhere. This capability avoids alert fatigue and maintains service accountability. Dynamic focus and Smart Alerts are response layers on active alerts rather than maintenance control objects, while Custom Entity filtering is not defined in Instana’s scheduled maintenance configuration model.
Reference: IBM Instana Observability Documentation (v1.0.307) C Maintenance Windows Scheduling and Filter Criteria.
정답:
Explanation:
Instana Smart Alerts provide intelligent, context-aware alerting capabilities. In Advanced Mode, administrators can choose between two distinct threshold types: Static and Adaptive. The IBM Instana documentation details: "Advanced Mode supports both static and adaptive thresholds, letting users define explicit limit values or rely on adaptive baselines derived from historical data." Static thresholds are fixed, user-defined values best suited for predictable workloads or regulatory uptime scenarios. Adaptive thresholds use machine learning on time-series historical behavior to automatically adjust boundaries when traffic patterns or operating baselines change. This significantly reduces false positives and ensures that alerts reflect true anomalies rather than normal variance. Both threshold types can trigger multi-level alerts and integrate with escalation policies. Static measures remain critical for SLIs requiring consistent control, while adaptive techniques optimize monitoring of microservices under fluctuating loads. IBM emphasizes combining these in practice to balance detected sensitivity across mixed systems, leveraging AI-driven dynamic configurations in adaptive mode as a key differentiator in its observability platform.
Reference: IBM Instana Observability Documentation (v1.0.307) C Smart Alerts: Advanced Mode Threshold Configuration.
정답:
Explanation:
Audit logging is a core component of security compliance within IBM Instana. The Access Logs, a section under Audit Logs, are specifically designed to capture and display authentication-related events. IBM states: "Access logs in Instana record user login and logout activity, including timestamps, user IDs, and source IP addresses." This capability supports auditing, regulatory needs, and incident response by ensuring verifiable tracking of system access. Instana separates audit events into categories for clarity: user actions, configuration edits, and security operations, with host-based access details residing in the ‘Access Logs’ view. This delineation enables administrators to spot unauthorized or suspicious access attempts quickly. Additions of new users or API tokens fall under distinct event categories (‘User Management’ and ‘API Audit Logs’) but not under the Access logs specifically. Through its clear segregation of logs by purpose, Instana ensures that organizations maintain compliance with frameworks like ISO 27001, SOC 2, and internal IT governance policy, as access auditability provides both transparency and accountability across multi-user environments.
Reference: IBM Instana Observability Documentation (v1.0.307) C Security and Audit Logs Configuration.
정답:
Explanation:
IBM Instana Observability’s agent supports modularized configuration through multiple YAML configuration fragments within its configuration directory. As described in the documentation: "When multiple configuration files exist alongside the main configuration.yaml, the agent reads each in alphabetical order and applies configurations sequentially." This mechanism supports composable and layered configuration management, allowing base settings in configuration.yaml to be overridden or extended by secondary fragments. The key design principle is deterministic merge order―guaranteeing predictable configuration hierarchies across deployments. This method improves maintainability in large environments by facilitating separation of sensitive and technology-specific settings while maintaining a consistent merge process. IBM warns not to name multiple files with overlapping keys unless intentional overrides are desired. The merge is additive and case-sensitive, processed lexicographically, providing administrators both flexibility and traceability for troubleshooting and auditing. There is no error generated when multiple files are present; rather, Instana agent gracefully integrates them during initialization, a behavior that promotes advanced configuration modularity for complex deployments.
Reference: IBM Instana Observability Documentation (v1.0.307) C Agent Configuration File Management and Merge Behavior.
정답:
Explanation:
IBM Instana Observability supports deploying and managing components like Synthetic PoPs and
monitoring collectors through Helm charts in Kubernetes environments. The official documentation explicitly states: "To customize the configuration of Instana Synthetics deployments using Helm, specify values either directly with the --set flag or via a configuration file passed with the -f flag during the Helm install or upgrade command." This approach aligns with Kubernetes best practices by maintaining immutable packaged charts while permitting flexible, environment-specific configurations through overrides. The --set parameter allows single-line value changes from the command line (for example, setting API keys or namespace values), whereas using a YAML file provides structure for multi-parameter updates and offers version control capability. IBM warns against manual edits in default Helm charts or direct environment-based configurations as these can be overwritten during automation or chart upgrades. Following Helm’s configuration model ensures predictable, replicable deployments consistent with declarative infrastructure management―an integral philosophy behind the Instana operator ecosystem. The combination of -f and --set enables a scalable and consistent way to customize Synthetics installation across clusters.
Reference: IBM Instana Observability Documentation (v1.0.307) C Helm Chart Deployment Guide for Synthetics.
정답:
Explanation:
Instana sets API rate limits to ensure fair resource usage and platform stability across accounts. According to the IBM Instana Observability documentation, "The default rate limit for the Instana REST API is 5,000 calls per hour per account." This policy is enforced automatically; when an account’s API activity reaches the limit, further requests are temporarily blocked until the next hour begins. This guards against accidental overload as well as malicious consumption, and is fundamental for multi-tenant operation. Organizations may request increases for large-scale use cases, but 5,000 per hour is the standard value pre-configured for all accounts. Instana recommends that automation and integrations are engineered to respect this quota, using exponential backoff and batching if needed. Values such as 10,000, 6,000, or 1,000 are not defaults, and modifying them requires special support intervention.
Reference: IBM Instana Observability Documentation, REST API Rate Limits.
정답:
Explanation:
Latency is one of the four principal Golden Signals monitored in Instana and critical for measuring system performance and user experience. According to IBM Instana Observability documentation: "Latency is the time it takes to handle or service a request, measured as the duration between request start and response end." This applies regardless of protocol (HTTP, RPC, messaging, etc.) and is used to evaluate whether services are fast or slow under real load. Instana automatically tracks latency for every transaction, as shown in traces and metrics: this enables teams to identify slow services, resource contention, and downstream delays. Golden Signals (latency, error rate, traffic, saturation) provide a universal framework recognized in both SRE and performance engineering disciplines. The actual duration a user spends logging in or opening a webpage may be an instance of latency, but Instana’s definition is generalized to any service request (API, DB, etc.), not just interactive browser events. Error count is monitored separately (error signal).
Reference: IBM Instana Observability Documentation, Golden Signals Reference.
정답:
Explanation:
Licensing in Instana is controlled by a key called "salesKey," which must be placed in the license.json file for Standard Edition. Per IBM Instana Observability documentation, "The salesKey is part of the license.json file, which must be updated to activate the Instana Standard Edition license." This file is checked at startup and authorizes agent/server deployment, binding entitlement and features to the account. Instana’s licensing model relies on proper key management within license.json for compliance and support tracking. The config.yaml file manages agent technical configuration, not licensing. Download.pl and gui.api files are not associated with salesKey or licensing. Any update to the license must be done within license.json and validated by Instana’s backend for activation completeness―this procedure is outlined step-by-step in the installation and onboarding guides.
Reference: IBM Instana Observability Documentation, Standard Edition Licensing Guide.
정답:
Explanation:
Instana’s Synthetic Monitoring module allows administrators to script user journeys and API checks to validate service performance and uptime. According to official IBM documentation, "Synthetic monitoring API scripts use JavaScript as the scripting language for configuring user flows and custom API tests." Instana has designed its synthetic user interface to interpret JavaScript natively which provides powerful, flexible constructs for simulating user interactions, custom API payloads, test logic, and error handling. This ensures broad compatibility with real browser environments and highly customizable synthetic scenarios. Java, Python, and Go are not supported for browser-based or synthetic API scripting in Instana’s synthetic monitors. JavaScript is chosen for its ubiquity and ease of integration with DOM-like and API interaction patterns, supporting the most common web-based automation needs as described in the documentation.
Reference: IBM Instana Observability Documentation, Synthetic Monitoring API Scripting Guide.
정답:
Explanation:
OTLP (OpenTelemetry Protocol) enables modern, standards-based telemetry with Instana for traces and metrics. The official IBM Instana documentation explains that enabling OTLP support should be done during installation or upgrade via Helm, using either values set in a YAML file or via the --set command line argument. This method is described as, "To enable OTLP, use Helm with the provided chart and set OTLP values in your values.yaml or with the --set flag." Helm automation allows administrators to easily manage, update, and version-control agent and collector configuration at scale―especially in Kubernetes environments. It is favored because it is compatible with Instana’s operator and dynamic config approaches. Manual edits in settings.hcl or params.yaml are not recommended or officially documented for enabling OTLP streams. Multiple tracers relate to instrumentation and are not for enabling the protocol itself. Using Helm provides a streamlined, repeatable and supported approach C per IBM Instana deployment best practices.
Reference: IBM Instana Observability Documentation, OpenTelemetry/OTLP Integration, Helm
Configuration.