Printable PDFOracle 1Z0-1041-20 Exam Questions & Answers
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Vendor: Oracle
Exam Code: 1Z0-1041-20
Exam Name: Oracle Cloud Platform Enterprise Analytics 2020 Specialist
Certification Provider: Oracle
Total Questions: 82 Q&A ( View Details)
Updated on: May 29, 2026
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1Z0-1041-20 Online Practice Questions and Answers
You are trying to get a quick view of the number of orders placed without having to create a project. In the
"What are you interested in" field of the home page, you enter the search string Number of Orders and BI
Ask search returns a visual of order numbers.
Select two options that describe what occurred,
A. The indexes that BI Ask uses to search are corrupt and cache needs to be cleared.
B. BI Ask used fuzzy logic to determine that you really wanted a list of the order numbers and complied.
C. There is no metric defined with the name Number of Orders. Resubmit the search using a wildcard.
D. There is no metric defined with the name Number of Orders. Resubmit with another variation of the name (for example, # of Orders) and see if results are returned.
Which option is false with respect to the Presentation Catalog?
A. Catalog Manager is a client administration tool that can be used to view and manage the Presentation Catalog.
B. Object permissions for Analyses and Prompts can be archived along with the object in the catalog.
C. Multiple objects can be archived into a single file.
D. To prevent corruption of the catalog, storage of objects of different types must be segregated into their own folders.
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 train a fuzzy prediction model and save the model for later use.
B. Create a data flow that includes a step to analyze sentiment and save the model for later use.
C. Create a data flow that includes a step to train a clustering model and save the model for later use.
D. Create a data flow that includes a step to train a binary classifier model and save the model for later use.
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