최신 1Z0-1041-21 무료덤프 - Oracle Cloud Platform Enterprise Analytics 2021 Specialist

A. Analyses can be created from multiple business models as long as they contain common, conformed dimensions.

B. Analyses can be created from multiple subject areas as long as at least one metric Is Included from each, and the Dimensionality Flag is enabled.

C. Analyses can be created with measures from multiple physical tables defined as sources in a single logical fact table.

D. Analyses cannot be created from multiple subject areas even though they contain common, conformed dimensions.

A. The sandbox dimension has one base member and multiple sandbox members.

B. When you submit changes to a base member, changes are seen and stored in each sandbox member.

C. Using the sandbox dimension has storage overhead that would be required to replicate data from the base environment.

D. After working in the sandbox environment, you can commit changes to the base environment or even to another sandbox target.

E. Initially, the state of each sandboxmember is #missing.

A. It Is a component of a data flow sequence.

B. It is a statistically determined group of data points that may contribute to predicting the value of an attribute of interest.

C. It Is a component of the output from the Explain functionality.

D. It is the resulting data set after applying a filter in a data flow.

A. Visual canvases can beresized and the Auto Fit setting can be disabled.

B. Enhance narrative transition by rearranging and/or hiding Insight canvases.

C. Create filters to focus upon pertinent data points.

D. Multiple projects can be combined into one project by clicking on theShare icon in the Narrate menu bar.

A. Click Roles; Click Add; Enter a name for the role; Enter a more detailed display name and description (optional); Assign one or more users to this role by selecting Manage Members; Import Users from a
.csv file; Move all the users you want for this role to the Selected Users pane; click OK.

B. Click Roles; Click Add; Enter a name for the role; Enter a more detailed displayname and description (required); Assign one or more users to this role by selecting Manage Members, select Users from the Type list and then click Search to list all the users; Move all the users you want for this role to the Selected Users pane; click OK.

C. Click Roles; Click Add; Enter a name for the role; Enter a more detailed display name and description (optional); Assign one or more users to this role by selecting Manage Members, select Users from the Type listand then click Search to list all the users; Move all the users you want for this role to the Selected Users pane; click OK.

D. Click Roles; Click Add; Enter a name for the role; Import Users from a .csv file; Assign one or more users to this role by selecting Manage Members; Select Users from the Type list and then click Search to list all the users you imported from your .csv file.

A. SaaS Edition

B. Big Data Edition

C. BI Cloud Service Edition

D. Data Lake Edition

E. Standard Edition

A. Use the polynomial option.

B. Use the linear option.

C. Set theconfidence interval to 95%.

D. Use the exponential option.

A. a table that reports the occurrences of higher positives, false negatives, lower positives, and true negatives for a machine learning model

B. a table that reports the occurrences of false positives, false negatives, true positives, and true negatives for a machine learning model

C. a table that reports the occurrences of upper positives, lower negatives, mid positives, and true negatives for a machine learning model

D. a table that reports the occurrences of negative positives, false negatives, true positives, and positive negatives for a machine learning model