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NEW QUESTION # 37
Which two features are provided by Application Performance Monitoring? (Choose two.)
Answer: B,C
Explanation:
OCI Application Performance Monitoring (APM) provides tools to monitor application performance:
Distributed Tracing (A): Tracks requests across microservices, showing latency and dependencies via traces and spans.
Real User Monitoring (C): Captures real user interactions with web applications (e.g., page load times) using a Browser Agent.
Why not B or D?
Capacity Planning (B): Available in Operations Insights, not APM.
Java Management (D): Not a feature of APM; Java Agent is a tool, not a feature.
These features align with APM's focus on performance and user experience.
NEW QUESTION # 38
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: C,D
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.
NEW QUESTION # 39
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?
Answer: A
Explanation:
Logging Analytics is a core O&M service:
Monitor, aggregate, index, and analyze log data (A): Collects logs from OCI and external sources, indexes them for search, and provides analytics (e.g., clustering) to monitor and troubleshoot systems.
Why not B or C?
B: Log centralization occurs, but "subscription model" isn't a feature.
C: Resource creation is an Events Service use case, not Logging Analytics.
This is its primary observability role.
NEW QUESTION # 40
Your on-premises private cloud environment consists of virtual machines hosting a set of application servers. These VMs are currently monitored using a 3rd party monitoring tool for resource metrics such as CPU and Memory utilization. You have created an automation workflow to transform these application servers into Oracle Cloud Infrastructure (OCI) which will deploy a set of new compute instances. There are a few requirements to consider while running this task: Ensure continuous monitoring is enabled, so the current monitored resource metrics are continuously collected and reported; Monitor the completion of Compute Instance deployment during the workflow and notify with email on each execution; Notify with email for any new OCI Object Storage buckets created after the migration workflow. What solution would you recommend to achieve these requirements?
Answer: A
Explanation:
The solution must address continuous monitoring and event-driven notifications:
D:
OCI Compute agent on on-premises VMs and OCI instances: Ensures metric continuity (e.g., CPU, memory) across the migration, using Management Agents for both environments.
Events service: Tracks launchinstance.end for deployment completion and createbucket for new buckets.
Notifications and Events: Sends email alerts for these events.
Why not A, B, or C?
A: Misses on-premises monitoring continuity.
B: Lacks bucket creation tracking.
C: Redundant 3rd-party tool use; OCI agents suffice.
D provides end-to-end coverage.
NEW QUESTION # 41
What is the purpose of using Resolution in a Monitoring Query Language expression?
Answer: C
Explanation:
In OCI Monitoring's Monitoring Query Language (MQL), Resolution affects data aggregation:
Resolution controls the total length of each time window (A): It specifies the time interval (e.g., 1m for 1 minute) over which metric data is aggregated (e.g., averaged, summed), determining query granularity.
Why not B, C, or D?
B: Start time is set by the query's time range, not Resolution.
C: Resolution doesn't affect alarm states; that's a separate mechanism.
D: Suppression is an alarm feature, unrelated to Resolution.
Resolution fine-tunes metric analysis precision.
NEW QUESTION # 42
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