1Z0-1041-20 · Question #11
Your customer is looking to get a better understanding of their data, in particular how Oracle Analytics Cloud can help them gain a competitive advantage. Which two tasks can help them achieve their…
The correct answer is B. Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new C. Create a data story by using the narrate functionality to present to their management. Explanation/Reference:
Question
Your customer is looking to get a better understanding of their data, in particular how Oracle Analytics Cloud can help them gain a competitive advantage. Which two tasks can help them achieve their goals?
Options
- AImport the data Into Oracle Analytics Cloud and use the Data Tile functionality in the Prepare section of
- BPerform analysis on the data by using trend lines, clustering, and outlier detection to offer new
- CCreate a data story by using the narrate functionality to present to their management.
- DCreate a data flow to highlight the interesting data.
How the community answered
(56 responses)- A14% (8)
- B80% (45)
- D5% (3)
Explanation
Explanation/Reference:
Topics
Community Discussion
6
Orla P.Apr 23, 2026B and C are your correct picks here. Running trend lines, clustering, and outlier detection gives you the actual analytical muscle to surface patterns that drive competitive insight, and the Narrate functionality lets you package those findings into a data story you can walk management through in a structured, convincing way. A is a distractor because Data Tiles in the Prepare section are for data profiling and cleaning, not competitive insight, and D describes a data flow which is a data transformation pipeline, not an analysis or presentation tool.
Dragan P.Apr 12, 2026B and C are right, trend lines plus narrate are the classic OAC insight combo.
Orla P.Apr 12, 2026OAC pairs well with trend lines and narrate, but do not sleep on the annotation layer either, it is what turns a screenshot into something the testing team can actually act on.
Anjali D.Apr 30, 2026I kept second-guessing myself on D, but B and C cover insight plus storytelling, which is the competitive angle.
Nadia M.May 10, 2026B and C are the right picks here. B covers the actual analytical horsepower, trend lines, clustering, outlier detection, those are the features that surface patterns you could not see in a flat report, which is where competitive advantage actually comes from. C is the one people underestimate, the Narrate functionality lets you build a data story with guided slides and annotations that you can present to executives who are not going to dig into a dashboard themselves. Quick question for the group: do you find that exam questions on this topic tend to blur the line between what OAC does natively versus what you would need a separate ML model or data prep step for? I always second-guess myself on whether clustering in OAC Explain counts as the same thing being tested here.
Anjali D.May 13, 2026Nadia that is a fair read, though I would flag that the exam tends to treat OAC Explain's clustering as a distinct built-in augmented analytics feature rather than conflating it with custom ML, so if a question asks what OAC does out of the box that distinction is usually the answer hinge.