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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Respond to cloud resource changes in real-time | 10% | - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service - Determine Event Structure, Event Types and Rules |
| Topic 2: Centrally manage and visualize log data | 16% | - Collect, search and analyze log data - Configure logging and log connectors - Manage logs using OCI Logging |
| Topic 3: Monitor distributed components of an application stack | 7% | - Analyze infrastructure and application metrics - Use Stack Monitoring - Discover and monitor distributed application components |
| Topic 4: Identify log data patterns and create visualizations for advanced analytics | 22% | - Search, filter and visualize log data - Use Logging Analytics for log ingestion and analysis - Perform advanced log analytics and troubleshooting |
| Topic 5: Monitor applications with deep visibility into end-user experience | 20% | - Analyze application performance and end-user experience - Configure application instrumentation and data collection - Use Application Performance Monitoring |
| Topic 6: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 7: Monitor cloud environments with metrics and alarms | 18% | - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources - Explain the key concepts of Monitoring Service |
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NEW QUESTION # 81
Which pillars of Observability are available as a single view from the Dashboard?
Answer: A
Explanation:
OCI Dashboards consolidate the three pillars of observability:
* Logs, Metrics, and Traces (A):
* Logs: Event records from Logging Service.
* Metrics: Numeric data from Monitoring Service.
* Traces: Request flows from APM. These can be visualized together in OCI Dashboards for unified observability.
* Why not B, C, or D?
* B: Resource categories, not pillars.
* C: Tools or components, not pillars.
* D: OCI services, not the core concepts.
This integration enhances system visibility.
Reference: OCI Dashboards
NEW QUESTION # 82
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs from these instances. There is a requirement to archive Info-level logging data of these instances into OCI Object Storage. Which two features of OCI can help you achieve this? (Choose two.)
Answer: B,C
Explanation:
To collect logs from on-premises instances and archive Info-level logs in OCI Object Storage, you need tools for log ingestion and data movement:
* Service Connectors (A): This feature enables data transfer from OCI Logging (source) to Object Storage (target). You can configure a service connector with a filter (e.g., log level = Info) to archive only Info-level logs.
* ObjectCollection Rule (D): Part of Logging Analytics, this rule collects logs from Object Storage buckets into Logging Analytics for analysis. If logs are first written to Object Storage by an agent, this rule ensures continuous ingestion.
* Why not B or C?
* Agent Configuration (B): Used to set up Management Agents but doesn't handle archiving to Object Storage.
* Cloud Agent Plugin Grouping Function (C): This is not a valid OCI feature.
The workflow involves agents sending logs to Logging, Service Connectors filtering and moving them to Object Storage, and ObjectCollection Rules enabling further analysis.
Reference: Service Connector Hub , ObjectCollection Rule
NEW QUESTION # 83
Your team has been tasked with debugging a Cloud Native application developed using the following Oracle Cloud Infrastructure (OCI) services: Object Storage, Events, Functions, API Gateway, and Autonomous Database. Which of these is NOT a valid option for troubleshooting issues in OCI?
Answer: D
Explanation:
Troubleshooting a cloud-native app leverages OCI observability tools:
* Invalid: Leverage OCI Cloud Guard to extract and visualize debug logs (D): Cloud Guard is a security posture management and threat detection service, not designed for extracting or visualizing application debug logs.
* Why A, B, C, and E are valid:
* A: Monitoring provides service metrics (e.g., Function invocation latency).
* B: Service Connector moves logs to Logging Analytics for analysis.
* C: APM traces Functions performance issues.
* E: Logging Service collects app logs directly.
Cloud Guard focuses on security, not debugging.
Reference: Cloud Guard
NEW QUESTION # 84
What is the correct logging CLI syntax for the log search with a query for REST call responses having status code 400, within the web Log Group and the application Log?
Answer: B
Explanation:
The correct OCI CLI syntax for searching logs must include the compartment, log group, log, and query:
* B: oci logging-search search-logs --search-query 'search "ocid1.compartment.oc1..
aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/application" | where data.
statusCode = 400' --time-start 2022-02-06T00:00:00Z --time-end 2022-02-07T00:00:00Z
* Specifies the compartment OCID, web Log Group, and application Log in the scope path.
* Filters for data.statusCode = 400 using proper syntax (= instead of space).
* Includes valid UTC time range.
* Why not A, C, or D?
* A: Missing log group/log; incorrect filter syntax (400 without =).
* C: No filter for status code 400.
* D: Incorrect command (oci log instead of oci logging-search); redundant parameters.
B aligns with OCI Logging's search syntax.
Reference: OCI CLI Logging Search
NEW QUESTION # 85
In OCI Log Analytics, which attribute is used to select parsers for logs collected from OCI services?
Answer: D
Explanation:
An entity type identifies the category of resource that produces the logs, such as an OCI Compute Instance, APM Domain, Load Balancer, Object Storage bucket, or Events service rule. When defining a Log Analytics source, the selected entity type establishes the resource context and helps determine which entities and relevant processing definitions can be associated with that source. The source then includes one or more parsers appropriate for the expected log format. Lookups enrich fields by mapping existing values to additional information, while labels tag records-often to identify problem conditions-during processing.
Fields are the individual values extracted from log entries by a parser. They do not determine which parser should process an OCI service's logs. Among the provided choices, Entity Type is therefore the correct selection attribute. Oracle documentation
NEW QUESTION # 86
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