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Oracle Cloud Platform Enterprise Analytics 2021 Specialist Sample Questions:

1. Which are the steps to create a connection between ADWH and OAC?

A) - In OAC home menu, Create connection
- Select Oracle Autonomous Data Warehouse Cloud
- Write connection name
- Upload the wallet.zip file.
- add the appropriate credentials and select the correct service name.
B) - In home page, go to hamburger icon andconsole tab
- Select connections
- Create connection and Write connection name
- Upload the wallet.sso file.
- add the appropriate credentials and select the correct service name.
C) - In home page, go to hamburger icon and console tab
- Select connections
- Create connection and Write connection name
- Upload the wallet.zip file.
- add the appropriate credentials and select the correct service name.
D) - In OAC home menu, Create connection
- Select Oracle Autonomous Data Warehouse Cloud
- Write connection name
- Upload the wallet.sso file.
- add the appropriate credentials and select the correct service name.

2. Which tab should you use to restrict access to a specific item in a model?

A) Permissions
B) App Responsibilities
C) App Roles
D) Security

3. Which two statements aretrue regarding configuring filters to control visual content?

A) Application role filters for fact and dimension tables are defined in the Oracle Analytics Cloud Data Modeler.
B) Expression filters cannot be applied in the filter steps of Oracle Analytics Cloud Data Visualization data flows.
C) Variables may be employed in all Data Visualization filter types (that is, Range, List, Date, Expression).
D) When the Oracle Business Intelligence Enterprise Edition repository is used as a data source, filters defined in the initialization blocks with the client administration tool are automatically inherited in Data Visualization.

4. 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?

A) Create a data flow to highlight the interesting data.
B) Import the data Into Oracle Analytics Cloud and use the Data Tile functionality in the Prepare section of the product. Use the resulting combination of visualization types to determine relationships and avenues for further exploration.
C) Create a data story by using the narrate functionality to present to their management.
D) Perform analysis on the data by using trend lines, clustering, and outlier detection to offer new perspectives.

5. 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 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 analyze sentiment and save the model for later use.

Solutions: