1Z0-1085-22 · Question #121
Which of these Is defined as a qualifier used for filtering group metric data presented in the Oracle Cloud Infrastructure (OCI) Monitoring service? ^
The correct answer is C. Dimensions. See the full explanation below for the reasoning.
Question
Which of these Is defined as a qualifier used for filtering group metric data presented in the Oracle Cloud Infrastructure (OCI) Monitoring service? ^
Options
- AIndicators
- BNamespaces
- CDimensions
- DFacts
How the community answered
(24 responses)- A8% (2)
- B4% (1)
- C79% (19)
- D8% (2)
Community Discussion
6
Wesley A.May 18, 2026C is your answer. In OCI Monitoring, dimensions are the key-value pairs attached to a metric that let you slice and filter the data, for example filtering by resource ID or availability domain, so they are the exact definition of a qualifier used to filter group metric data.
Aleksei K.May 19, 2026Correct on dimensions, but do not sleep on the namespace either, since that is the outer boundary that scopes which service the metric belongs to, and confusing namespace with compartment is a classic trap on this exam.
Aleksei K.May 7, 2026Dimensions, without question, and I remember second-guessing myself on this one because "Namespaces" sounds like it should be doing the filtering work but it's really just the container that groups related metrics by service. I had a candidate in my study group swear it was Namespaces right up until we ran through a sample MQL query together and he saw firsthand that dimensions are what you tack on to slice the data by resource ID, availability domain, or whatever qualifier you need.
Anjali D.May 7, 2026Agreed, and the analogy we use in our group is that the namespace gets you to the right shelf in the library while the dimension is the label that pulls the exact book you need, so they work together but confusing one for the other will leave your query returning nothing useful or everything at once.
Anjali D.May 11, 2026Our group landed on C pretty quickly once we stopped confusing this with how namespaces work, because namespaces just categorize the metric source (like oci_computeagent or oci_lbaas) rather than filter within it. Dimensions are the key-value pairs attached to a metric that let you slice the data, so you could say "show me CPU utilization only for this specific resourceId in us-ashburn-1" and that filtering is exactly what dimensions do. The exam wording "qualifier used for filtering group metric data" is basically a definition of a dimension, so if you see that phrase, the answer points itself out. My question for the group is: when you build an MQL query in the Metrics Explorer console, do you add dimension filters in the query string itself or through the dimension filter fields in the UI, and does it matter which method you use for the exam?
Wesley A.May 13, 2026Anjali nailed the core distinction, and for the exam just know that MQL lets you do both, inline filters like resourceId = "ocid1.instance..." in the query string and the UI filter fields generate the same MQL under the hood, so the method does not matter for answering exam questions but the UI approach is what most console screenshots in study guides show.