1z0-1111-25 Practice Questions

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.

Database Management Service provides advanced database oversight:

Compare database performance across different time periods or perform real-time monitoring of SQL statements (C): Uses Performance Hub for historical and real-time SQL monitoring.

Analyze and tune SQL performance issues of Oracle Databases on-premises, OCI, and multi-cloud environments (D): Offers SQL tuning across diverse deployments.

Why not A or B?

A and B: Capacity forecasting is an Operations Insights feature, not Database Management.

These actions enhance database performance management.

Exadata Warehouse Insights in OCI Operations Insights provides advanced analytics to forecast resource usage for Exadata systems.

Memory (A): Tracks and predicts memory utilization based on historical trends, aiding capacity planning.

CPU (D): Forecasts CPU usage, helping identify potential bottlenecks or over-provisioning.

Why not B or C?

Network usage (B): While monitored, it’s not a primary focus of Exadata Warehouse Insights’ future usage predictions.

AIOps (C): This is a methodology, not a resource usage metric.

These forecasts leverage historical data and what-if analysis for proactive management.

MQL expressions in OCI Monitoring retrieve and process metric data. Optional components include:

Statistic (B): Specifies how to summarize data (e.g., avg, max). If omitted, raw data is returned.

Grouping Function (D): Aggregates data across metric streams (e.g., by resourceId). It’s optional if no grouping is needed.

Why not A, C, E, or F?

Interval (A): Defines the time window; defaults apply if omitted, but it’s typicallyrequired for meaningful queries.

Previous (C): Not a standard MQL component (possibly a typo).

Metric (E): Mandatory to specify what’s being queried.

Dimensions (F): Filters data; required if specific streams are targeted, though optional in basic queries.

Statistic and Grouping Function enhance flexibility but aren’t mandatory.