Current 1z0-1041-23 Exam Dumps [2024] Complete Oracle Exam Smoothly
1z0-1041-23 Premium PDF & Test Engine Files with 72 Questions & Answers
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NEW QUESTION # 13
Which two statements are true about Oracle Analytics Cloud (OAC) self-service data preparation
- A. Database data can be extended with spreadsheet data.
- B. Data flows have many built-in steps that can be used to prepare the data.
- C. Joins can be created only in Oracle Analytics Cloud Data Modeler.
- D. The Oracle Data Integrator (ODI) tool, which is used for extract, load, and transformation, foundational component of Oracle Analytics Cloud and is essential for data preparation.
Answer: A,B
Explanation:
Oracle Analytics Cloud (OAC) self-service data preparation is a feature that allows you to transform and enrich data from various sources and create data sets for analysis or visualization. Some statements that are true about OAC self-service data preparation are:
Database data can be extended with spreadsheet data. This means that you can join or union data from a database source with data from a spreadsheet file and create a new data set that combines both sources.
Data flows have many built-in steps that can be used to prepare the data. This means that you can use data flows to perform various operations on your data, such as creating calculated columns, filtering or sorting rows, grouping or aggregating values, applying machine learning models, or saving data to different formats. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 14
An analyst is creating a story on the Narrate tab of the project. What is the most likely reason they have done this?
- A. To share the story with consumers on the Home Page.
- B. To share the story by exporting to pdf.
- C. To share the story by exporting to MS Excel.
- D. To share the story on Day by Day with their decision makers.
Answer: D
Explanation:
Sharing the story on Day by Day with their decision makers is the most likely reason why an analyst has created a story on the Narrate tab of the project in Oracle Analytics Cloud. A story is a feature that allows you to create and present a narrative based on your data using various elements, such as visualizations, text boxes, images, videos, and more. You can use a story to communicate your findings and recommendations to your audience in an engaging and interactive way. The Narrate tab is a workspace where you can create and edit your story using various tools and options. You can add multiple canvases to your story and navigate between them using the navigation bar. You can also add notifications, filters, notes, and narration to your story to enhance it and make it more interactive. Day by Day is a mobile application that allows you to access and interact with your Oracle Analytics Cloud content using voice or text commands. You can use Day by Day to view and explore your stories on your mobile device and share them with other users via email or chat. You can also receive personalized insights and recommendations from Day by Day based on your location, calendar, and preferences. Sharing the story on Day by Day with their decision makers is a convenient and effective way for an analyst to deliver their analysis and influence their decisions. The other options, such as sharing the story by exporting to MS Excel, sharing the story with consumers on the Home Page, and sharing the story by exporting to pdf, are not the most likely reasons why an analyst has created a story on the Narrate tab of the project in Oracle Analytics Cloud. These options are either not supported or not optimal for sharing a story in Oracle Analytics Cloud. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center
NEW QUESTION # 15
Which version of OBIEE is supported for migration to OAC?
- A. OBIEE 10g
- B. OBIEE 11.1.X and later
- C. You cannot migrate content from OBIEE to OAC.
- D. OBIEE 12g and later
- E. OBIEE 12c
Answer: B
Explanation:
OBIEE 11.1.X and later is the version of OBIEE that is supported for migration to OAC. OBIEE stands for Oracle Business Intelligence Enterprise Edition, which is a comprehensive business intelligence platform that provides a range of analytics capabilities, such as interactive dashboards, ad hoc queries, enterprise reporting, and more. OAC stands for Oracle Analytics Cloud, which is a cloud-based analytics platform that provides similar features as OBIEE, as well as additional features such as data visualization, augmented analytics, machine learning, and more. You can migrate content from OBIEE to OAC using the Oracle BI Migration Tool, which is a command-line utility that allows you to export and import metadata and catalog objects between OBIEE and OAC. The Oracle BI Migration Tool supports migration from OBIEE 11.1.X and later versions to OAC, as these versions are compatible with OAC in terms of data model structure, catalog format, and security model. The other versions of OBIEE, such as OBIEE 12c, OBIEE 12g and later, and OBIEE 10g, are not supported for migration to OAC, as they are either not compatible with OAC or not available. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center
NEW QUESTION # 16
You are creating an analytics solution for a financial institution using Oracle Analytics Cloud.
One of the requirements is a workbook with a model that identifies customers with multiple potential infraudulent transactions.
Which algorithm would be the best fit for this purpose?
- A. Anomaly Detection
- B. Decision Tree
- C. Logistic Regression
- D. Support Vector Machine
Answer: A
Explanation:
Anomaly Detection is the algorithm that would be the best fit for creating a model that identifies customers with multiple potential fraudulent transactions in Oracle Analytics Cloud. Anomaly Detection is a machine learning technique that allows you to detect outliers or anomalies in your data that deviate from the normal or expected behavior. You can use Anomaly Detection to create a model that scores each customer based on their transaction history and flags those who have unusually high or low values as potential fraudsters. The other algorithms, such as Support Vector Machine, Decision Tree, and Logistic Regression, are not the best fit for this purpose. Support Vector Machine is a machine learning technique that allows you to classify data into two or more categories based on a linear or nonlinear boundary. Decision Tree is a machine learning technique that allows you to create rules or conditions for splitting data into branches or nodes based on certain criteria. Logistic Regression is a machine learning technique that allows you to predict the probability of an event occurring based on one or more variables. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 17
Which three statements are true about usage tracking in Oracle Analytics Cloud?
- A. You create a new connection pool in Data Modeler.
- B. You create a new connection pool in the Oracle Analytics Developer Client tool.
- C. After a change has been made to the Usage Tracking Connection Pool setting in the console, a restart is required.
- D. It is available for both Professional and Enterprise Edition.
- E. It is available only for Enterprise Edition.
Answer: B,C,E
Explanation:
Usage tracking is a feature of Oracle Analytics Cloud that enables you to collect and analyze information about how users interact with your analytics content and resources. Usage tracking is available only for Enterprise Edition, as this is a more advanced and scalable edition than Professional Edition. To enable usage tracking, you need to create a new connection pool in the Oracle Analytics Developer Client tool, which is a desktop application that allows you to create and manage data models for Oracle Analytics Cloud. You also need to configure the Usage Tracking Connection Pool setting in the console, which is a web-based interface that allows you to administer Oracle Analytics Cloud instances and services. After making any change to this setting, you need to restart your Oracle Analytics Cloud instance for the change to take effect. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 18
Which two statements are true about data wrangling?
- A. It is used to tram and test the Machine Learning model.
- B. It is used to perform some lightweight transformation within the data visualization UI.
- C. It is used to curate data sets that can be used for complex visualizations.
- D. In data wrangling, transformations available are dependent on the data type.
Answer: C,D
Explanation:
Data wrangling is a process of transforming and enriching data to make it more suitable for analysis or visualization. Some statements that are true about data wrangling are:
In data wrangling, transformations available are dependent on the data type. For example, you can apply different transformations to numeric, text, date, or location data types.
It is used to curate data sets that can be used for complex visualizations. For example, you can use data wrangling to create calculated columns, merge or split columns, group or aggregate values, filter or sort rows, or join or union data sets. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 19
You need to curate data for Country Dimension and dependent Sales Facts that store country sales data.
How do you design the data flow and load data for these two separate data sets in data storage?
- A. Create a single data flow that loads data to the Country data storage in the first step and then loaders data storage in the seconds the flows for the Country and Sales data sets.
- B. Create two separate data flows for the Country and Sales data sets. Then create a sequence "low for Country is called first followed by the data flow for Sales.
- C. Create data flows for the Country and Sales data sets. Then create a sequence where the data flow for Sales is called first followed by the data flow for Country.
- D. Create two separate data flows for the Country and Sales data sets. Then call one data flow from another.
Answer: C,D
Explanation:
There are two possible ways to design the data flow and load data for these two separate data sets in data storage:
Create two separate data flows for the Country and Sales data sets. Then call one data flow from another using a Call Data Flow step. This will allow you to execute one data flow after another in a single run.
Create data flows for the Country and Sales data sets. Then create a sequence that defines the order of execution of these data flows using a Sequence step. This will allow you to run multiple data flows sequentially or in parallel. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 20
What does a single transaction mean in a sequence of data flows?
- A. If any flow within a sequence fails, all the changes made in the sequence remain as is.
- B. Multiple data flows in a sequence run one after the other. However, if any now falls, all the changes made in the sequence are rolled back.
- C. A data flow can load to a single data set at one point.
- D. A sequence can have only one data flow to save data to multiple data storage.
Answer: B
Explanation:
A single transaction means that all the data flows in a sequence are executed as a unit of work. If any data flow fails, the entire sequence is aborted and the changes made by the previous data flows are rolled back to ensure data consistency and integrity. Reference: Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 21
You have the Bl Service Administrator application role and you are notified that a user cannot get answers when using Day by Day with Oracle Analytics Cloud Professional Edition.
They asked a question related to an existing data set and the language was English.
Which three statements are valid about investigating this issue?
- A. Verify that the user is assigned the BI Content Author and DV Consumer roles.
- B. Verify that the user has been assigned the BI Content Author and Bl Data Load Author roles.
- C. Day by Day does not work with Oracle Analytics Cloud Professional Edition.
- D. Inspect the data set and make sure that it is certified, indexed for searching, and English language is selected.
- E. Inspect the data set and check the access control.
Answer: B,D,E
Explanation:
To investigate why a user cannot get answers when using Day by Day with Oracle Analytics Cloud Professional Edition, you can do the following steps:
Verify that the user has been assigned the BI Content Author and Bl Data Load Author roles. These roles are required to access and use Day by Day features, such as asking questions using natural language or voice, or getting personalized insights based on usage patterns.
Inspect the data set and check the access control. You need to make sure that the user has sufficient permissions to view and query the data set that they asked a question about.
Inspect the data set and make sure that it is certified, indexed for searching, and English language is selected. These are some of the criteria that make a data set eligible for Day by Day queries. You can use the Manage menu in Data Sets to check and modify these settings. Reference: [Oracle Day By Day User's Guide], [Oracle Day By Day User's Guide], [Oracle Day By Day User's Guide]
NEW QUESTION # 22
Your Oracle Analytics client asks you to shape a story and story and share it as a file.
Which are three valid file types for sharing a story?
- A. AutoCad (.dxf)
- B. Word (.docx)
- C. image (.png)
- D. Acrobat (.pdf)
- E. Package (.dva)
Answer: C,D,E
Explanation:
Image (.png), Acrobat (.pdf), and Package (.dva) are three valid file types for sharing a story in Oracle Analytics Cloud. A story is a feature that allows you to create and present a narrative based on your data using various elements, such as visualizations, text boxes, images, videos, and more. You can use a story to communicate your findings and recommendations to your audience in an engaging and interactive way. You can share a story as a file by exporting it to one of the supported file formats, such as image (.png), Acrobat (.pdf), or Package (.dva). An image file (.png) allows you to save a snapshot of your story as an image that you can view or print using any image viewer application. An Acrobat file (.pdf) allows you to save your story as a document that you can view or print using any PDF reader application. A Package file (.dva) allows you to save your story along with its associated data sets and projects as a compressed file that you can import into another Oracle Analytics Cloud instance or application. The other file types, such as AutoCad (.dxf) and Word (.docx), are not valid file types for sharing a story in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 23
You are designing an analytics solution for a company that distributes packaged foods for independent retailers. The solution requires self-service analytics capabilities for product management and In addition, highly formatted reports must be delivered by scheduled email to external resellers Which edition of Oracle Analytics must you use
- A. OAC Business Intelligence Edition
- B. OAC Enterprise Edition
- C. OAC Professional Edition
- D. OA Fusion Analytics Warehouse Edition
- E. OA Data Visualization Cloud
Answer: B
Explanation:
To design an analytics solution that requires self-service analytics capabilities for product management and sales teams, as well as highly formatted reports delivered by scheduled email to external resellers, you must use OAC Enterprise Edition. OAC Enterprise Edition is the most comprehensive edition of Oracle Analytics Cloud that offers both self-service and governed analytics capabilities, as well as BI Publisher for creating pixel-perfect reports and delivering them by email or other channels. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 24
Which are two use-cases for Data Flow?
- A. Create a custom Python Machine Learning model.
- B. Perform some lightweight transformation within the Project.
- C. To curate data sets that can be used for visualizations.
- D. Train and test the Machine Learning model.
Answer: C
Explanation:
Data Flow is a feature of Oracle Analytics Cloud that enables you to create and run data flows to transform and enrich your data. You can use Data Flow for various use-cases, such as:
To curate data sets that can be used for visualizations. You can join, filter, aggregate, pivot, and perform other operations on your data sets to prepare them for analysis.
To train and test the Machine Learning model. You can use Data Flow to apply machine learning algorithms to your data and create predictive models. You can also evaluate the performance of your models and compare them with different parameters. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 25
Using Narrate insight, you can take a snapshot of any moments of any information that you see in a visualization and keep track of any moments of sudden realization while you work with the data.
You can then share these with other users. Which statement is true about sharing with Insights?
- A. By default all users cannot share Insights.
- B. It is not possible to share Insights with other users.
- C. Insights is shared as a story and everybody will see their information based on permissions
- D. Insights is a/ways shared in form of story so everybody will see the same information.
Answer: C,D
Explanation:
Insights is always shared in form of story so everybody will see the same information and insights is shared as a story and everybody will see their information based on permissions are two true statements about sharing with insights in Oracle Analytics Cloud. Insights are messages that appear on your canvas to inform or alert your audience about something important or relevant to your story, such as a key insight, a recommendation, or a call to action. You can create insights using the Insight icon on the toolbar and customize them by changing the text, color, position, and duration of the message. You can also enable or disable the Use Snapshot Data option for each insight in the properties panel. When you share your insights with other users, you share them as part of your story, which is a feature that allows you to create and present a narrative based on your data using various elements, such as visualizations, text boxes, images, videos, and more. You can share your story with other users by exporting it as a file (.png, .pdf, or .dva) or by sending it via email or chat. When you share your insights as part of your story, everybody will see the same information that you see in your insights, regardless of whether you use live data or snapshot data for your insights. However, everybody will also see their information based on their permissions for accessing the data sets or projects that are associated with your story. The other statements, such as it is not possible to share insights with other users and by default all users cannot share insights, are not true about sharing with insights in Oracle Analytics Cloud. You can share insights with other users as part of your story using various methods, such as exporting, emailing, or chatting. You can also control who can share insights by changing the permissions of your story in the catalog. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 26
Which type of report is an example of the bursting feature in Pixel Perfect Reporting?
- A. Government PDF forms
- B. Interactive data exploration
- C. Customized regional marketing reports
- D. Bar codes
- E. Ad hoc reporting
Answer: A
Explanation:
Government PDF forms is an example of the bursting feature in Pixel Perfect Reporting in Oracle Analytics Cloud. Pixel Perfect Reporting is a feature that allows you to create and publish highly formatted reports that meet specific layout and design requirements, such as invoices, statements, receipts, labels, and more. You can use Pixel Perfect Reporting to create reports using various tools and options, such as templates, layouts, components, expressions, parameters, and more. You can also use Pixel Perfect Reporting to publish reports using various methods and formats, such as email, printer, file system, FTP server, PDF, HTML, RTF, Excel, PowerPoint, and more. The bursting feature is a feature that allows you to distribute reports to multiple recipients based on certain criteria or conditions. You can use the bursting feature to create personalized reports for each recipient that contain only relevant information for them. You can also use the bursting feature to deliver reports to each recipient using their preferred method and format. Government PDF forms is an example of the bursting feature in Pixel Perfect Reporting in Oracle Analytics Cloud. You can use this feature to create and distribute government PDF forms that comply with specific standards and regulations for each recipient based on their location or status. The other options, such as ad hoc reporting, customized regional marketing reports, interactive data exploration, and bar codes are not examples of the bursting feature in Pixel Perfect Reporting in Oracle Analytics Cloud. These options are either not related to Pixel Perfect Reporting or describe other types of reports or features that can be created or used in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 27
You have a global data set for oil princes for a period of time for each country.
However, you need to perform analyses on Asian countries for a period of one month Which two combinations of filters could you use to achieve this?
- A. List and Date Range
- B. Range and Expression
- C. List and Range
- D. Expression and Date Range
- E. Date Range and Top Bottom N
Answer: A,D
Explanation:
To filter a global data set for oil prices for a period of time for each country based on Asian countries and one month period, you can use two combinations of filters:
Expression and Date Range: An expression filter allows you to create a custom filter expression using SQL syntax. You can use an expression filter to specify the condition for Asian countries based on the country column of your data set. A date range filter allows you to filter your data based on a start date and an end date. You can use a date range filter to specify the one month period based on the date column of your data set.
List and Date Range: A list filter allows you to filter your data based on one or more values from a list of values. You can use a list filter to select the Asian countries from the list of values in the country column of your data set. A date range filter allows you to filter your data based on a start date and an end date. You can use a date range filter to specify the one month period based on the date column of your data set. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 28
You have created a line chart visualization of revenue data at the day level. The chart display the last 365 days of data.
- A. Add a forecast and change the Period value to 3.
- B. Add a trend line and change the Method value to polynomial.
- C. Add a trend line and change the Method value to Exponential.
- D. Add 3 Relative Time filter for the next 3 months.
- E. Add a forecast and change the Period value to 90.
Answer: E
Explanation:
To create a line chart visualization of revenue data at the day level that displays the last 365 days of data and the next 90 days of forecast, you need to add a forecast and change the Period value to 90. A forecast is a feature that allows you to predict future values of a measure based on historical data using various methods, such as linear, exponential, or seasonal. The Period value specifies how many future values you want to forecast. For example, you can add a forecast to your line chart and set the Period value to 90 to see the projected revenue for the next 90 days. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 29
You created a new Sales dashboard with three pages: Sales, Revenue, and Orders.
You need to enable a different set of report links at the page level and set different report links for different analyses.
How do you first enable the report links for all the dashboard pages, and then set the different report links for the different reports?
- A. Enable all the Dashboard Report links from Dashboard Properties and then the Report links for each Reach report.
- B. Enable all the Page Report links and then enable the Report links for each Reach report.
- C. Set the column permissions of each Dashboard page and then set the Report links for each report.
- D. Enable all the Dashboard Report links from Dashboard Properties and then the Page Report links.
Answer: A
Explanation:
To enable a different set of report links at the page level and set different report links for different analyses, you need to do the following steps:
Enable all the Dashboard Report links from Dashboard Properties. This will allow you to use report links such as drill down, drill up, drill across, or navigate to other dashboards or web pages.
Set the Report links for each Reach report. This will allow you to customize which report links are available for each analysis on each dashboard page. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 30
How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?
- A. Use the machine learning model visualization.
- B. Create a scenario using the required model.
- C. Create a custom calculation.
- D. Create a data sequence.
Answer: B
Explanation:
A scenario is a way to use a machine learning model within a canvas of an Oracle Analytics Cloud project. A scenario allows you to define inputs and outputs for the model, and then use them to create visualizations or calculations on the canvas. You can also compare different scenarios and see how changing the inputs affects the outputs. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 31
You have a Historical Sales data set, which you use to train a model in Oracle Anatytics Cloud (OAC) Your products have an attribute named Profitability, which has one of the three values: high, medium, c This is the property you set as the target.
Which train data step is required to train a model in
- A. Train Binary-Classifier
- B. Train Text Prediction
- C. Train Multi-Classifier
- D. Train Clustering
- E. Train Numeric Prediction
- F. Train Multi-Value
Answer: C
Explanation:
A multi-classifier is a machine learning model that can predict one of several possible classes for a given input. In this case, the target attribute Profitability has three possible values: high, medium, or low. Therefore, a multi-classifier is the appropriate model to train on this data set. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 32
Which data action must you use to connect to Oracle Analytics Publisher reports?
- A. HTTP API
- B. URL Navigation
- C. Publish Event
- D. Analytics Link
- E. Webhooks
Answer: D
Explanation:
Analytics Link is a data action that allows you to connect to Oracle Analytics Publisher reports and view them in Oracle Analytics Cloud. You can use Analytics Link to embed reports in your dashboards, projects, or data visualizations. You can also pass parameters to the reports and filter them dynamically. Reference: [Oracle Help Center]
NEW QUESTION # 33
You are a developer designing a solution to analyze retail sales. A key requirement for the solution is a product hierarchy with multiple levels that supports drill-down in an Oracle Analytics Cloud (OAC) workbook.
Which two configurations are appropriate for your solution?
- A. Hierarchy created in a proper snowflake multi-table data set
- B. Data set with a hierarchy created in OAC Data Flow
- C. Data set merging a semantic model with the hierarchy and additional data
- D. Semantic model created in the OA Admin tool
- E. Semantic model created in the Thin Client Modeler
- F. Data set created with data preparation
Answer: A,D
Explanation:
Semantic model created in the OA Admin tool and hierarchy created in a proper snowflake multi-table data set are two configurations that are appropriate for designing a solution to analyze retail sales with a product hierarchy in Oracle Analytics Cloud. A semantic model is a logical representation of your data that defines the relationships, calculations, hierarchies, and security rules for your data. You can create and manage semantic models using the OA Admin tool, which is a web-based interface that allows you to administer Oracle Analytics Cloud instances and services. A hierarchy is a structure that organizes your data into different levels of detail based on parent-child relationships. You can create hierarchies for your dimensions to enable drill-down analysis on your data. A snowflake multi-table data set is a type of data set that consists of multiple tables that are related to each other by foreign keys. You can create a snowflake multi-table data set using Data Preparation or Data Flow features in Oracle Analytics Cloud. You can use this type of data set to model complex dimensions that have multiple attributes stored in different tables, such as a product hierarchy with multiple levels. Reference: Oracle Help Center, [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 34
Identify the correct use of BI Ask.
- A. is used to search for visualizations
- B. is used to enter column names into the search hold, select them, and quickly see them added to a project
- C. is used to search for projects
- D. is used to enable user input in Natural Language. It extracts column names from the User Input and quickly build visuals for the columns extracted
- E. is used to power the type ahead functionality.
Answer: D
Explanation:
The correct use of BI Ask is that it is used to enable user input in natural language. It extracts column names from the user input and quickly builds visuals for the columns extracted. BI Ask is a feature that allows you to create analyses using natural language queries instead of dragging and dropping columns from the subject area pane. You can type or speak your query in BI Ask and it will automatically generate the best visualization for your query based on the columns extracted from your input. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 35
Which two are true about dashboard prompts?
- A. Repository variables and session variables can be used in prompt default values.
- B. Prompts can be developed using only a single column.
- C. All prompts must be displayed on a single page.
- D. Prompt values can be limited based on values selected in other prompts.
Answer: A,D
Explanation:
Dashboard prompts are filters that allow users to dynamically change the data displayed in a dashboard. Some statements that are true about dashboard prompts are:
Prompt values can be limited based on values selected in other prompts. This is called cascading prompts, where the values of one prompt depend on the selection of another prompt.
Repository variables and session variables can be used in prompt default values. This allows users to set dynamic default values for prompts based on variables defined in the repository or the session. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 36
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