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Oracle 1Z0-1041-21 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Oracle Analytics Cloud Provisioning and Setup | - Provisioning and Environment Configuration
|
| Topic 2: Data Preparation and Modeling | - Data Preparation
|
| Topic 3: Data Visualization and Reporting | - Visual Analytics
|
| Topic 4: Administration and Usage Tracking | - Administration Tasks
|
| Topic 5: Advanced Analytics Capabilities | - Predictive and Machine Learning Features
|
Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:
What shouldyou use to make sure that the model you created is correct?
- A. Correct icon
- B. DB Sync Icon
- C. Data Checker icon
- D. Validate Icon
Correct Answer: D 🗳️
Which is not a step that can be followed to create a Story?
- A. Share the Story in presentation mode by setting thereportMode parameter in the project properties to FullDisplay.
- B. Create and position annotations on the canvas as desired.
- C. Capture a story insight from one or more Visualization canvases in a project by navigating from Visualize to Narrate and dragging the desired Visualization canvas(es) onto the Narration canvas.
- D. Create a new project for the Story by clicking the Save As button in the project toolbar.
Correct Answer: A 🗳️
You have a data set that you wish to use to train a machine learning model in Oracle Analytics Cloud. The attribute you are interested in predicting has one of two text values (e.g. Yes/No or True/False).
How should you perform this operation?
- A. Create a data flow that includes a step to analyze sentiment and save the model for later use.
- B. Create a data flow that includes a step to train a clustering model and save the model for later use.
- C. Create a data flow that includes a step to train a binary classifier model and save the model for later use.
- D. Create a data flow that includes a step to train a fuzzy prediction model and save the model for later use.
Correct Answer: C 🗳️
You've created a machine learning model and investigated how accurate it is. How should you use it in Oracle Analytics Cloud?
- A. Embed the model into a data flow sequence.
- B. Create a custom calculation based on a related formula.
- C. Use a data flow with a Commit Model step and save as a new data set.
- D. Use a data flow with an Apply Model step and save as a new data set.
- E. Create a data flow with a cumulative value prediction.
Correct Answer: D 🗳️
Which two statements are true about a segment as defined in the Oracle Analytics Cloud machine learning functionality?
- A. It is the resulting data set after applying a filter in a data flow.
- B. It Is a component of a data flow sequence.
- C. It is a statistically determined group of data points that may contribute to predicting the value of an attribute of interest.
- D. It Is a component of the output from the Explain functionality.
Correct Answer: A,C 🗳️
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