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[General] Valid Braindumps C1000-189 Questions & C1000-189 Real Exam Questions

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【General】 Valid Braindumps C1000-189 Questions & C1000-189 Real Exam Questions

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IBM C1000-189 Exam Syllabus Topics:
TopicDetails
Topic 1
  • Security and Compliance: This section of the exam measures the skills of IT Security Analysts and focuses on the data protection and compliance aspects of Instana deployment. Candidates must describe and implement data retention policies, plan for regulatory compliance, secure APIs, manage user access, and interpret audit logs. The goal is to ensure secure system configurations that align with organizational and regulatory standards.
Topic 2
  • Troubleshooting: This section of the exam measures the skills of System Support Engineers and focuses on resolving technical and operational issues in Instana. It includes configuring log levels, collecting logs for debugging, and identifying connectivity issues between agents and the backend. Candidates will troubleshoot installation failures, diagnose communication problems, and apply corrective measures to ensure consistent Instana performance and stability across environments.
Topic 3
  • Installation: This section of the exam measures the skills of System Implementation Specialists and focuses on installing and deploying Instana across different environments. It includes installing the Instana backend, deploying and configuring agents, and migrating existing Instana setups. Candidates will also demonstrate their ability to implement Synthetic Monitoring and manage Points of Presence (PoPs) effectively for end-to-end performance validation.

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IBM Instana Observability v1.0.277 Administrator - Professional Sample Questions (Q23-Q28):NEW QUESTION # 23
Which two filters can be used in scheduling maintenance windows to mute affected entities?
  • A. Application Perspective
  • B. Smart Alerts
  • C. Dynamic Focus
  • D. Custom Entity
  • E. Scope based
Answer: A,E
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.

NEW QUESTION # 24
Which type of data does Instana use to correlate application performance with infrastructure metrics?
  • A. Requests, responses, errors, and latency
  • B. Logs, traces, tags, and metrics
  • C. Host resources, host id, application resources, and application id
  • D. Correlated logs, number of events, host type, and recent changes
Answer: B
Explanation:
Instana's contextual correlation engine combines different data types to build a unified observability model. IBM documentation states: "To correlate application performance with infrastructure metrics, Instana relies on logs, traces, tags, and time series metrics." Traces map the end-to-end request journey, metrics provide numerical measures of both system and app health, tags label resources for logical grouping and discovery, and logs offer deep diagnostic information. By analyzing traces and metrics together, Instana surfaces where latency, errors or bottlenecks in the application link directly to resource consumption or system events captured at the infrastructure level. Tags facilitate mapping services to containers, VMs, or Kubernetes objects. Raw counts (B, C) and raw transactional data (D) are part of the analysis pipeline but do not provide the required level of linkage for successful application-to-infrastructure mapping - only the union of traces, metrics, tags, and logs achieves this dimensionality.

NEW QUESTION # 25
What is the default log level set to collect Log4j syslog for Instana agent configuration?
  • A. Error
  • B. Debug
  • C. Info
  • D. Warning
Answer: C
Explanation:
As outlined in the Instana agent deployment documentation, the default log level for gathering Log4j syslog information is Info. The documentation reads: "The default log level for syslog collection in Instana agents with Log4j integration is Info, enabling monitoring of operational and sensor activity without excessive diagnostic output." Info level is chosen as a best-practice default to log key events like agent startup, sensor activations, and health check results. Debug, Warning, and Error thresholds are for troubleshooting or failure analyses and may be set manually for deep inspection but are not preselected at install. Optimal Info-level logging ensures administrators receive actionable messages without burdening disk or log forwarding pipelines. Configuration files can be adjusted for verbose output; however, initial deployments and automated frameworks always rely on Info as the default value.

NEW QUESTION # 26
What is mandatory to use Instana REST APIs?
  • A. Cookie
  • B. Python
  • C. Token
  • D. CURL
Answer: C
Explanation:
Access to Instana's REST API is secured using authorization tokens-an industry-standard best practice for API authentication and traceability. IBM documentation says: "A personal or team API token is required to authenticate REST API calls." Tokens serve as credentials embedded in HTTP headers on each request, providing both identity and access control for the API consumer. Tokens are mandatory; without a valid token, any API requests are denied with a 401 Unauthorized error, regardless of whether a tool (such as CURL) is used. Tokens can be scoped for individual users (personal tokens) or teams (team tokens), enabling granular tracking and revocation as part of enterprise security policies. API tokens are generated from the Instana UI under the profile or team section. Cookies and raw client libraries (e.g., Python) are not authentication methods for Instana APIs.

NEW QUESTION # 27
Which statement best describes Beelnstana?
  • A. An operator that can be used only on self-hosted deployments that have data stores installed
  • B. A Kubernetes operator that requires high-performing data stores and a distributed data store cluster.
  • C. It is a metric database used to perform complex metric queries
  • D. An operator that can be used to install Instana on Kubernetes
Answer: B
Explanation:
BeeInstana is identified in Instana's documentation as the core Kubernetes operator driving distributed installation and management of Instana components. The documentation defines: "BeeInstana is a Kubernetes operator that requires robust, high-performing distributed data stores and manages Instana deployment complexity, resource allocation, and scaling within large clusters." By leveraging Kubernetes-native constructs, BeeInstana orchestrates Instana backend, UI, sensors, and streaming components-ensuring reliable, scalable deployments for enterprise settings. The operator orchestrates failover, recovery, and persistent storage management, supporting self-hosted and hybrid installations. While it is associated with metric data handling, its main role is orchestration and operational management based on distributed database infrastructures. Simple operator installation (A, D) does not capture its full role, and describing BeeInstana as only a metric database (B) misrepresents its architectural function in Instana's platform lifecycle.

NEW QUESTION # 28
......
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