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NEW QUESTION # 19
What are two examples of a Stack Monitoring deployment model? (Choose two.)
Answer: A,D
Explanation:
Stack Monitoring monitors application stacks across environments:
Resources running on OCI compute instances (B): Monitors components (e.g., WebLogic, databases) on OCI VMs using Management Agents.
Resources running on-premises (D): Tracks on-premises resources (e.g., Oracle Databases) via Enterprise Manager Bridge or agents.
Why not A or C?
A: Management Gateway is a proxy, not a resource host.
C: Network appliances aren't typical Stack Monitoring targets.
These models cover cloud and on-premises stacks.
NEW QUESTION # 20
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.
NEW QUESTION # 21
Which is one of the primary use cases for the Oracle Cloud Infrastructure (OCI) Observability and Management (O&M) Logging Analytics service?
Answer: B
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 # 22
What is the purpose of using Resolution in a Monitoring Query Language expression?
Answer: D
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 # 23
Which Logging Analytics concept represents an asset on your host that could provide log data?
Answer: A
Explanation:
In OCI Logging Analytics, a Source defines the origin of log data from an asset on a host.
Source (B): Represents a log-generating asset (e.g., a file, database audit log, or Windows event log), specifying its location, format, and collection frequency. It's associated with an Entity to enable log ingestion and parsing.
Why not A, C, or D?
Association (A): Links a Source to an Entity, not the asset itself.
Entity (C): A logical representation of a resource (e.g., a host), not the log source.
Parser (D): Extracts fields from logs, not the asset providing data.
Sources are foundational to log collection in Logging Analytics.
NEW QUESTION # 24
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