1z0-1111-25 Exam Dumps - Oracle Cloud Infrastructure Questions and Answers

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.

In OCI APM’s Synthetic Monitoring, Vantage Points are locations from which synthetic tests (e.g., HTTP requests) are run. Dedicated Vantage Points are private, user-managed instances, distinct from public ones hosted by Oracle:

Applications on-premise or on secured network cannot be tested from a public Vantage Point (B): Public Vantage Points, located in Oracle-managed regions, lack access to private networks (e.g., on-premise servers or firewalled applications). Dedicated Vantage Points, deployed within a user’s network, overcome this limitation.

Test internal customer applications (C): Dedicated Vantage Points enable testing of internal applications (e.g., intranet sites) not exposed to the public internet, ensuring performance monitoring from within the secured environment.

Why not A or D?

Test from public Vantage Point (A): Contradicts B; public Vantage Points can’t access private networks.

Test Deployment Manager and Scheduler (D): These are unrelated OCI components, not Synthetic Monitoring targets.

Dedicated Vantage Points extend monitoring to restricted environments.

In OCI Logging Analytics, Labels enhance log analysis by tagging specific records:

Labels (B): Predefined tags applied during ingestion based on conditions (e.g., “Error” for logs with “error” or “exception”). Labels help categorize and filter problem logs for easier searching and troubleshooting.

Why not A, C, or D?

Entity Type (A): Defines the resource type (e.g., host), not a tagging mechanism.

Log Origin (C): Metadata about log source, not for problem identification.

Extended Fields (D): Custom fields extracted post-ingestion, not tags applied during ingestion.

Labels streamline issue detection at the ingestion stage.

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.

In OCI APM, span context (e.g., Trace ID, Span ID) is propagated across services to track requests.

In HTTP header (B): Span context is embedded in HTTP headers (e.g., X-B3-TraceId) during transfer between services. This allows APM to correlate spans across distributed systems for a single user request.

Why not A, C, or D?

Service boundaries (A): This is a conceptual term, not a location for data.

HTTP call (C): Too vague—“HTTP call” isn’t a specific storage location.

Browser and microservices (D): Context originates here but is transferred via headers, not stored locally during transit.

This follows the OpenTracing standard used by OCI APM.

Troubleshooting a cloud-native app leverages OCI observability tools:

Invalid: Leverage OCI Cloud Guard to extract and visualize debug logs (D): Cloud Guard is a security posture management and threat detection service, not designed for extracting or visualizing application debug logs.

Why A, B, C, and E are valid:

A: Monitoring provides service metrics (e.g., Function invocation latency).

B: Service Connector moves logs to Logging Analytics for analysis.

C: APM traces Functions performance issues.

E: Logging Service collects app logs directly.

Cloud Guard focuses on security, not debugging.

FluentD is an open-source data collector used for continuous log collection with client-side processing in OCI Logging. Two applicable scenarios are:

Managing apps/services which push logs to Object Storage (A): FluentD can be configured to collect logs from applications or services (e.g., Oracle Functions) that write logs to Object Storage buckets. It processes these logs client-side and forwards them to OCI Logging or Logging Analytics.

Comprehensive monitoring for OKE/Kubernetes (B): FluentD is widely used in Kubernetes environments like Oracle Container Engine for Kubernetes (OKE) to collect logs from pods, containers, and nodes. It processes these logs locally before sending them to OCI services for analysis.

Why not C or D?

Monitoring unsupported systems (C): While possible, this is not a primary FluentD scenario in OCI—it’s more about extending Management Agent capabilities.

Log Source (D): This is a component of Logging Analytics, not a FluentD scenario.

FluentD’s flexibility makes it ideal for these use cases in OCI’s observability ecosystem.

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.

Creating an alarm query in OCI Monitoring involves MQL:

Invalid: You must specify a resource group (D): Resource groups (e.g., groupBy(resourceId)) are optional for aggregating metrics across streams; alarms can function without them.

Why A, B, and C are valid:

A: A statistic (e.g., max, avg) is required to process metric data.

B: An interval (e.g., [1m]) defines the time window, mandatory for evaluation.

C: A metric (e.g., CpuUtilization) is the core of the query.

Resource groups enhance, but aren’t required for, alarms.

Connecting to an external database via OCI’s External Database service requires specific connection details:

DNS hostname, database name, connection type and management agent OCID, user credentials, and role (C):

DNS hostname: The fully qualified domain name of the database host.

Database name: Unique identifier of the database.

Connection type: Protocol (e.g., JDBC, OCI).

Management agent OCID: Identifier of the agent on the host.

User credentials: Username and password.

Role: Privilege level (e.g., SYSDBA).These are the minimum required fields for secure connectivity.

Why not A, B, or D?

A: Missing DNS hostname, critical for locating the host.

B: Missing DNS hostname; port alone isn’t sufficient.

D: Includes extras (e.g., port, network protocol) that are optional or inferred.

This ensures accurate database connectivity.