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| Section | Weight | Objectives |
|---|---|---|
| Monitor distributed components of an application stack | 7% | - Analyze discovering resources and monitoring with metrics - Identify the key concepts of Stack Monitoring |
| 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 |
| Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Respond to cloud resource changes in real-time | 10% | - Analyze the key concepts of Events Service - Respond to Events and integration with OCI services - Determine Event Structure, Event Types and Rules |
| Identify log data patterns and create visualizations for advanced analytics | 22% | - Explore log ingestion methods for Logging Analytics - Present advanced analytics and features for troubleshooting - Distinguish the key concepts of Logging Analytics - Analyze, search, filter and visualize logs |
| Monitor applications with deep visibility into end-user experience | 20% | - Instrument applications for data collection - Examine visualizing and analyzing performance data - Explore the key concepts of Application Performance Monitoring (APM) |
| Centrally manage and visualize log data | 16% | - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate - Distinguish log categories and enable log collection from sources |
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NEW QUESTION # 47
You are part of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). An unknown user action was executed, resulting in configuration errors. You are tasked to quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed.
Which OCI service would you use?
Answer: A
Explanation:
To investigate user activity and REST API calls over the last six hours, the OCI Audit service is the appropriate tool.
* Audit (E): This service automatically records all API operations (including REST API calls) performed on OCI resources. It provides detailed logs with user details, timestamps, and actions, ideal for security and compliance investigations. You can filter audit logs by time range (e.g., last six hours) and user attributes.
* Why not A, B, C, or D?
* Notifications (A): Sends alerts but doesn't store or analyze API call details.
* Service Connectors (B): Moves data between services, not for auditing.
* Management Agent (C): Collects metrics/logs from resources, not API audit data.
* Logging (D): Handles application and system logs, not API activity tracking.
Audit logs are retained for 90 days by default, making this a perfect fit.
Reference: OCI Audit Service
NEW QUESTION # 48
From the following, select the different metric namespaces used for APM.
Answer: D
Explanation:
APM uses specific metric namespaces to categorize its telemetry data:
* oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring (D):
* oracle_apm_rum: Metrics from Real User Monitoring (e.g., page load times).
* oracle_apm_synthetics: Metrics from Synthetic Monitoring (e.g., test response times).
* oracle_apm_monitoring: Metrics from distributed tracing (e.g., span counts). These namespaces align with APM's three core features.
* Why not A, B, or C?
* A: Individual metric names, not namespaces.
* B: Incomplete and incorrect namespace naming.
* C: Mixes metric types with partial namespace names.
These namespaces enable targeted metric queries in OCI Monitoring.
Reference: APM Metrics
NEW QUESTION # 49
Which two functions are available for grouping data in the OCI Monitoring service?
Answer: B,C
Explanation:
OCI Monitoring Query Language provides groupBy() and grouping() as grouping functions, but they serve different purposes. The groupBy(dimension) function combines metric streams according to the value of a specified dimension, such as availability domain, fault domain, resource group, or host. A separate aggregated result is produced for each dimension group. The grouping() function combines the metric streams returned by an inner query into one group and is commonly used in nested expressions before applying a statistic such as sum() or count(). Oracle's MQL syntax allows both functions to appear in the same expression when the analysis requires multiple aggregation stages. groupTo() and group() are not valid MQL grouping functions.
Therefore, options A and B identify the supported grouping operations
NEW QUESTION # 50
You are using OCI Events with OCI Notifications to monitor the creation of compute instances and Object Storage buckets. Which pair of event types correctly matches these scenarios?
Answer: D
Explanation:
OCI Events identifies resource changes through service-specific event-type strings. Object Storage emits com.
oraclecloud.objectstorage.createbucket when a bucket is created. The updatebucket event instead represents a modification to an existing bucket and therefore does not match the first requirement. Compute emits com.
oraclecloud.computeapi.launchinstance.end when the launch operation has finished. A launchinstance.begin event indicates that the operation has started, not that instance creation is complete. An Events rule can match these event types and use an OCI Notifications topic as its action, allowing subscribed endpoints to receive messages when either operation occurs. Option C is the only choice that combines the correct Object Storage creation event with the completed Compute launch event. Oracle Object Storage events
NEW QUESTION # 51
What is the function of OCI Management Agent?
Answer: B
Explanation:
OCI Management Agent is installed on a host and provides a framework through which supported OCI service plug-ins collect telemetry from monitored data sources. Depending on the deployed plug-ins and configuration, the agent can collect logs, metrics, configuration information, status information, and other management data and upload it securely to the corresponding OCI service. The Management Agent service also manages the agents, their plug-ins, registration, and lifecycle. Distributed trace analysis is primarily performed by OCI Application Performance Monitoring and its APM agents. Cost and usage optimization belongs to cost-management and analytics capabilities, while responding to resource state changes is the role of OCI Events and its configured actions. Therefore, enabling communication and data collection between managed targets and supported OCI services is the Management Agent's fundamental function. Oracle documentation
NEW QUESTION # 52
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