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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Alarms and Notifications | 25% | - Notifications service and integration patterns - Alarm configuration, thresholds, and status |
| Topic 2: OCI Monitoring and Metrics | 30% | - Monitoring service concepts and metrics collection - Metric queries, dashboards, and visualization |
| Topic 3: Application Performance Monitoring and Distributed Tracing | 20% | - APM setup, instrumentation, and end-user monitoring - Distributed tracing, diagnostics, and troubleshooting |
| Topic 4: Logging and Log Analytics | 25% | - OCI Logging service and log management - Logging Analytics: ingestion, parsing, and analytics |
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NEW QUESTION # 52
Which two statements describe the roles of topics and subscriptions in OCI Notifications?
Answer: B,D
Explanation:
OCI Notifications implements a publish-subscribe messaging model. A topic is a communication channel to which producers publish messages. Each topic can have one or more subscriptions, and every subscription identifies an endpoint that receives messages published to that topic. Supported endpoint types include email, SMS, HTTPS custom URLs, OCI Functions, and supported messaging integrations. Topics do not define the message format and are not used to create network-security policies. Similarly, subscriptions are not groups of resources monitored by OCI Monitoring. Monitoring alarms, Events rules, service connectors, applications, or users can publish messages to a topic, after which Notifications delivers those messages to the topic's subscriptions. Therefore, subscriptions represent receiving endpoints, while topics provide the shared communication channel through which messages are distributed. Oracle documentation
NEW QUESTION # 53
As an IT administrator, you need to set up continuous and automatic log ingestion from an OCI compute instance to OCI Logging Analytics. Which method is recommended to meet this requirement?
Answer: B
Explanation:
OCI Management Agent is the recommended mechanism for continuously collecting logs stored on a compute instance or another host. The agent runs on the log-emitting host and uses the Log Analytics plug-in to collect supported file, syslog, database, Windows event, REST API, and other log types. After the relevant entity, source, parser, and source-entity association are configured, the agent automatically sends new log records to Logging Analytics. Manual upload is intended for one-time or historical ingestion rather than continuous collection. The LogEvents API requires custom integration, while Service Connector is primarily used to ingest logs generated by OCI services through OCI Logging. Therefore, enabling OCI Management Agent provides the required continuous and automatic host-based ingestion workflow. Oracle documentation
NEW QUESTION # 54
After creating an APM Domain in OCI Application Performance Monitoring, what is immediately available?
Answer: D
Explanation:
When an APM Domain is created, OCI generates the domain resources required to receive observations, including its data upload endpoint and data keys. The data upload endpoint is the URL to which an APM data source-such as an APM Java Agent, Browser Agent, or supported OpenTelemetry component-sends spans and metrics. Traces are not immediately available because an instrumented application must first collect and upload trace data. Alarm definitions are also not automatically created merely by creating the domain; alarms must be configured separately through OCI Monitoring when required. Consequently, the data upload endpoint is the item available immediately after domain creation and is essential for connecting monitored applications to the APM service. Oracle documentation
NEW QUESTION # 55
You are a cloud administrator tasked with creating a dashboard that displays the distribution of a field's values, such as the number of occurrences of each HTTP error code. Which OCI Logging Analytics visualization should you use?
Answer: D
Explanation:
A pie chart is suitable for displaying how the total number of log records is distributed among the distinct values of a selected field. For example, a query can group records by HTTP status code and calculate the count associated with each code. The pie chart displays each status code as a segment, making the relative proportion of errors such as 400, 401, 404, or 500 easy to compare. A single-number tile presents only one aggregated value and cannot communicate the distribution among multiple codes. A table can list the values and counts but provides less immediate visual comparison. Cluster visualization is a machine learning-based capability that groups log records according to their underlying patterns or shapes rather than simply presenting a categorical field distribution. Therefore, the pie chart is the best answer. Oracle documentation
NEW QUESTION # 56
A company wants to build a real-time monitoring system for changes occurring in its OCI environment. The team decides to use OCI Events to capture changes and send them to OCI Streaming. Which two statements describe the integration of OCI Events with OCI Streaming?
Answer: B,C
Explanation:
An OCI Events rule evaluates structured event messages generated when supported resources change state.
When an event matches the rule conditions, the rule can execute an action that publishes the message directly to a selected OCI Streaming stream. Therefore, applications do not need to poll OCI Events manually, and Service Connector Hub is not required for this direct Events-to-Streaming integration. OCI Streaming stores messages in a partitioned, append-only stream. Each published message is assigned to a partition, usually based on its message key, and partitions enable scalable throughput and parallel consumption. Consumers can then process the resource-change events in near real time. Consequently, the valid statements are that Events publishes to Streaming through a rule action and that Streaming uses partitions to distribute and organize messages. Oracle Events documentation
NEW QUESTION # 57
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