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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Centrally manage and visualize log data | 16% | - Distinguish log categories and enable log collection from sources - Create Connectors for Log Transitions - Explore managing and searching logs from the entire log estate |
| Topic 2: Identify log data patterns and create visualizations for advanced analytics | 22% | - Distinguish the key concepts of Logging Analytics - Analyze, search, filter and visualize logs - Explore log ingestion methods for Logging Analytics - Present advanced analytics and features for troubleshooting |
| Topic 3: Monitor distributed components of an application stack | 7% | - Identify the key concepts of Stack Monitoring - Analyze discovering resources and monitoring with metrics |
| Topic 4: Monitor cloud environments with metrics and alarms | 18% | - Explain the key concepts of Monitoring Service - Configure Alarm Definitions using best practices - Discuss enabling Metrics for monitoring OCI resources |
| Topic 5: Define the pillars of Observability | 7% | - Summarize OCI Observability and Management Services |
| Topic 6: Respond to cloud resource changes in real-time | 10% | - Determine Event Structure, Event Types and Rules - Respond to Events and integration with OCI services - Analyze the key concepts of Events Service |
| Topic 7: Monitor applications with deep visibility into end-user experience | 20% | - Examine visualizing and analyzing performance data - Instrument applications for data collection - Explore the key concepts of Application Performance Monitoring (APM) |
>> Exam Sample 1z0-1111-26 Questions <<
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NEW QUESTION # 41
In Application Performance Monitoring (APM), a distributed tracing user initiates a request through a browser. What is the first span called?
Answer: A
Explanation:
In distributed tracing within OCI APM:
* Root span (C): The first span in a trace, representing the entry point of a user request (e.g., an HTTP request from a browser). It has no parent span and initiates the chain of subsequent spans across services.
* Why not A or B?
* Ajax call (A): A type of request, not a span term.
* Trace ID (B): A unique identifier for the entire trace, not a span.
The root span is foundational to tracing a request's journey.
Reference: APM Traces and Spans
NEW QUESTION # 42
Which two statements describe the roles of topics and subscriptions in OCI Notifications?
Answer: C,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 # 43
Which two functions are available for grouping data in the OCI Monitoring service?
Answer: A,B
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 # 44
Which is the correct Monitoring Query Language expression for determining the total number of hosts whose CPU utilization exceeds a threshold of 80 percent?
Answer: A
Explanation:
The expression first evaluates the maximum CPU utilization for each metric stream over one-minute intervals.
The predicate > 80 converts that result into a Boolean threshold evaluation identifying the streams whose CPU utilization exceeds 80 percent. Parentheses make this threshold query the nested inner expression. The grouping() operation then treats the resulting streams as one group, and sum() calculates the total number of streams satisfying the predicate. Oracle provides this expression as its example for calculating the sum of hosts with CPU utilization greater than 80 percent. Option A reports maximum utilization but applies no threshold. Option B filters by instance shape without counting threshold violations. Option D performs aggregation without first evaluating whether utilization exceeds 80 percent. Oracle documentation
NEW QUESTION # 45
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
Answer: A,B
Explanation:
OCI APM uses specific agents for data collection:
* Java Agent (B): Attaches to Java applications to collect traces, metrics, and errors for APM.
* Browser Agent (D): A JavaScript snippet embedded in web pages to collect Real User Monitoring (RUM) data (e.g., page load times).
* Why not A or C?
* Management Agent (A): Used for Stack Monitoring/Operations Insights, not APM.
* Cloud Agent (C): Monitors compute instances, not an APM-specific agent.
These agents target application and user experience monitoring.
Reference: APM Agents
NEW QUESTION # 46
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