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Free Oracle 1z0-1041-23 Exam Questions and Answer
NEW QUESTION # 41
Which application role must you grant to the user?
- A. Bl Dataload Author
- B. Bl Data Model Author
- C. DV Content Author
- D. Bl Content Author
Answer: C
Explanation:
DV Content Author is the application role that you must grant to the user who wants to create and edit data visualizations in Oracle Analytics Cloud. Data Visualization is a feature that allows you to explore, analyze, and visualize your data using various types of charts, graphs, maps, and more. You can also apply filters, calculations, aggregations, and other functions to your data. To access Data Visualization, you need to have the DV Content Author role, which gives you the permission to create and edit data sets, projects, and data flows. The other roles, such as BI Content Author, BI Data Model Author, and BI Dataload Author, are not required for Data Visualization, but rather for other features such as Business Intelligence, Data Modeler, and Data Loader. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 42
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. Date Range and Top Bottom N
- C. Range and Expression
- D. Expression and Date Range
- E. List and Range
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 # 43
Which two statements are true about Oracle Analytics Cloud (OAC) self-service data preparation
- A. 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.
- B. Data flows have many built-in steps that can be used to prepare the data.
- C. Database data can be extended with spreadsheet data.
- D. Joins can be created only in Oracle Analytics Cloud Data Modeler.
Answer: B,C
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 # 44
You need to compute sales for a period that starts at a quarter before and ends at a quarter after the current quarter.
Which Time Series function will you use?
- A. PERIODROLLING
- B. FORECAST
- C. TODATE
- D. AGO
Answer: A
Explanation:
To compute sales for a period that starts at a quarter before and ends at a quarter after the current quarter, you need to use the PERIODROLLING function. This function allows you to calculate the aggregated value of a measure over a rolling time period relative to the current time level. For example, PERIODROLLING("Sales", -1, 1, "Quarter") will return the sum of sales for the current quarter, the previous quarter, and the next quarter. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 45
Which two steps do you perform to create a Relative Time filter?
- A. Select Date Range as the filter type.
- B. Add a date column to the Filter bar.
- C. Select Relative Time as the filter type and set the Relative To property.
- D. Select Relative Time as the filter type.
Answer: C,D
Explanation:
To create a relative time filter, you need to perform two steps:
Select Relative Time as the filter type: A relative time filter allows you to filter your data based on a relative time period, such as last week, next month, or current year. You can select Relative Time as the filter type from the drop-down menu of the filter bar.
Select Relative Time as the filter type and set the Relative To property: The Relative To property allows you to specify the reference point for your relative time period. For example, if you want to filter your data for the last quarter relative to today, you can set the Relative To property to Today. You can set the Relative To property from the filter dialog box after selecting Relative Time as the filter type. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 46
The Administrator has navigated to the console page and clicked on search index. Which three items can be included in the index?
- A. Templates
- B. Data Models
- C. User Folders
- D. Content Folder
- E. Shared Folders
Answer: B,C,E
Explanation:
User Folders, Shared Folders, and Data Models are three items that can be included in the search index in Oracle Analytics Cloud. The search index is a feature that enables you to quickly find and access the analytics content and resources that you need. You can configure the search index to include or exclude certain types of items from the index, such as folders, data sets, projects, data models, and more. You can include User Folders and Shared Folders in the search index to make them searchable by name, description, or owner. You can also include Data Models in the search index to make them searchable by name, description, owner, or subject area. The other item, Templates, cannot be included in the search index, as this is not a supported type of item for indexing. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 47
Which two are true about dashboard prompts?
- A. Prompt values can be limited based on values selected in other prompts.
- B. All prompts must be displayed on a single page.
- C. Prompts can be developed using only a single column.
- D. Repository variables and session variables can be used in prompt default values.
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 # 48
You have added a forecast to your visualization. Which three models are available for calculating the forecast7
- A. ETS
- B. ARIMA
- C. Seasonal ARENA
- D. Seasonal ETS
- E. Seasonal ARIMA
- F. ARENA
Answer: A,C,D
Explanation:
ETS, Seasonal ARIMA, and Seasonal ETS are three models that are available for calculating the forecast in Oracle Analytics Cloud. A forecast is a feature that allows you to predict future values of your data based on historical data and various statistical methods. You can add a forecast to your visualization by selecting Forecast from the visualization gallery and choosing the data elements that you want to forecast. You can also adjust the forecast settings, such as the forecast length, confidence interval, and forecast method in the properties panel. You can choose from different models for calculating the forecast, such as ETS, Seasonal ARIMA, and Seasonal ETS. ETS stands for Exponential Smoothing, which is a model that uses weighted averages of past observations to smooth out the fluctuations and trends in the data. Seasonal ARIMA stands for Seasonal AutoRegressive Integrated Moving Average, which is a model that uses a combination of autoregressive and moving average terms to capture the patterns and seasonality in the data. Seasonal ETS stands for Seasonal Exponential Smoothing, which is a model that extends the ETS model by adding a seasonal component to account for the periodic variations in the data. The other models, such as ARENA and Seasonal ARENA, are not available for calculating the forecast in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 49
Which two statements are true about Presentation Catalog?
- A. My Folders can be shared with other users.
- B. Catalog items can be set to read-only.
- C. You can grant ownership of items you create to other users.
- D. To prevent corrupter, of the catalog, storage of objects of different types must be segregated into their own folders.
Answer: B,C
Explanation:
You can grant ownership of items you create to other users and catalog items can be set to read-only are two true statements about Presentation Catalog in Oracle Analytics Cloud. Presentation Catalog is a feature that allows you to store, organize, and manage your analytics content and resources, such as data sets, projects, data flows, data models, and more. You can grant ownership of items you create to other users by changing the owner property of the items in the catalog. This allows you to transfer the full control and responsibility of the items to another user. You can also set catalog items to read-only by changing the permissions of the items in the catalog. This prevents other users from modifying or deleting the items, but allows them to view or copy them. The other statements, such as My Folders can be shared with other users and storage of objects of different types must be segregated into their own folders, are not true about Presentation Catalog in Oracle Analytics Cloud. My Folders is a personal folder that is visible only to you and cannot be shared with other users. You can store objects of different types in the same folder in the catalog, as long as they have unique names. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 50
Your client has created new custom map layer. How can this map layer be exposed in a project?
- A. Navigate to the Console. Click Maps. From the Map Layers tab, upload the geojson file.
- B. Create a new project. Add a map visualization, change the layer property to new. click upload. Select the geojson file to upload.
- C. Navigate to the Console. Click Maps. On the Map Layers tab, upload the xml file.
- D. Create a new project. Add a map visualization. Change the layer property to new. Click upload. Select the Json file to upload.
Answer: C
Explanation:
To expose a new custom map layer in a project, you need to do the following steps:
Navigate to the Console by clicking the Home icon on the top left corner of the screen and then clicking Console.
Click Maps on the left navigation pane to open the Maps page.
On the Map Layers tab, click Upload to upload your custom map layer file. The file must be in XML format and follow the Oracle Analytics Cloud map layer specification.
After uploading your custom map layer file, you can see it in the list of available map layers and use it in your projects. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 51
As part of an analysis, you have the following set of data:
Assuming, you have entered the Aggregate function SUM (Revenue) in the second column.
- A. Row 1: 2000 Row 2: 3000
- B. Row 1: 1000 Row 2: 2000
- C. Row 1; 3000 Row 2: 3000
- D. Row 1: 1000 Row 2: 3000
Answer: B
Explanation:
Based on the image of the chart, the aggregate function SUM (Revenue) will calculate the sum of revenue for each product category. The chart shows that Product A has two rows with revenue values of 500 and 500, so the sum is 1000. Product B has two rows with revenue values of 1000 and 1000, so the sum is 2000. Reference: Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 52
Which service do you need to subscribe for creating an Oracle Analytics Cloud (OAC) instance?
- A. Oracle Back Storage
- B. Oracle Analytics Cloud
- C. Oracle Big Data Cloud Storage
- D. Oracle Autonomous Database
Answer: B
Explanation:
To create an Oracle Analytics Cloud (OAC) instance, you need to subscribe to the Oracle Analytics Cloud service on Oracle Cloud Infrastructure (OCI). Oracle Analytics Cloud is a comprehensive analytics platform that provides a range of analytics capabilities, such as data visualization, augmented analytics, machine learning, enterprise reporting, and more. You do not need to subscribe to other services such as Oracle Back Storage, Oracle Autonomous Database, or Oracle Big Data Cloud Storage to create an OAC instance, although you can use them as data sources for your analytics projects. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 53
You want to create a Sales Amount by Month report for a product. The report should display sales amount from all cities in the South region with sales amount more than 1 million USD.
Which two Alters can be applied for Region and Sales Amount
- A. List filter for Region and List filter for Sales Amount
- B. Range filter 'or Region and Date filter for sales Amount
- C. List filter for Region and Expression filter for Sales Amount
- D. List filter for Region and Range filter for Sales Amount
Answer: A,B
Explanation:
Two filters that can be applied for Region and Sales Amount are:
Range filter for Region and Date filter for sales Amount. A range filter allows you to specify a range of values for a column using operators such as greater than, less than, between, or not between. A date filter allows you to specify a date or a date range for a column using operators such as before, after, on, or between. For example, you can use a range filter to select only the South region and a date filter to select only the months with sales amount more than 1 million USD.
List filter for Region and List filter for Sales Amount. A list filter allows you to select one or more values from a list of values for a column using operators such as equals, not equals, in, or not in. For example, you can use a list filter to select only the South region and another list filter to select only the sales amounts that are more than 1 million USD. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 54
You are creating a data model for a healthcare provider Patient information is contained in related tables for contact information, primary physician, insurance information, and billing details.
For management and personal information reasons, the project owner requires that these table not be merged.
What is the correct relational topology to model the patient dimension?
- A. Universe
- B. Distributed tree
- C. Balance tree
- D. Start
Answer: C
Explanation:
Balance tree is the correct relational topology to model the patient dimension for a healthcare provider in Oracle Analytics Cloud. A balance tree is a type of schema that consists of one or more dimension tables that are related to each other by foreign keys. A balance tree schema allows you to model a dimension that has multiple attributes that are organized into different levels of detail. For example, you can model a patient dimension that has attributes such as contact information, primary physician, insurance information, and billing details. Each attribute can be stored in a separate table that is linked to a parent table by a foreign key. A balance tree schema enables you to perform drill-down analysis on your dimension without having to merge all the tables into one. The other types of schemas, such as distributed tree, universe, and star, are not suitable for modeling a patient dimension with multiple related tables. A distributed tree schema consists of one or more dimension tables that are not related to each other by foreign keys. A universe schema consists of one or more fact tables that are related to each other by foreign keys. A star schema consists of one fact table that is related to multiple dimension tables by foreign keys. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 55
Which statement is true when migrating content From Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud?
- A. At this time there is no option to migrate Oracle B1 Enterprise Edition 11g content to oracle Analytics Cloud.
- B. Both the Oracle BI Enterprise Edition 12c Data Model and the Catalog must be migrated to Oracle Analytics Cloud. They cannot be migrated independently.
- C. You can only migrate an Oracle BI Enterprise Edition 12c Data Model to Oracle Analytics cloud. Catalog migration is not allowed.
- D. You can migrate a snapshot from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud.
Answer: D
Explanation:
The statement that is true when migrating content from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud is that you can migrate a snapshot from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud. A snapshot is a file that contains the metadata and data of a service instance, such as the repository, catalog, security model, and connection pool settings. You can use the snapshot to backup or restore your service instance, or to migrate your content from one environment to another. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 56
Which two filters can be applied to all Dimensional data types?
- A. Expression
- B. Range
- C. Date
- D. List
Answer: A,D
Explanation:
List and Expression are two types of filters that can be applied to all Dimensional data types in Oracle Analytics Cloud. A List filter allows you to select one or more values from a list of values for a dimension column. An Expression filter allows you to create a custom filter expression using SQL syntax for a dimension column. The other types of filters, such as Date and Range, are only applicable to specific data types, such as Date and Numeric. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 57
You have created a Machine Learning model and investigated how accurate it \s. How should you use it in Oracle Analytics Cloud (OAC)?
- A. Use Data Flow with an Apply Model step and save as a new data set.
- B. Use a data flow with a Commit Model step and save as a new data set.
- C. Create Data Flow with a cumulative value prediction.
- D. Create a custom calculation based on a related formula.
- E. Connect to the model as a new project.
Answer: A
Explanation:
After creating and testing a machine learning model, you can use it to make predictions on new data sets using a data flow. A data flow is a sequence of steps that transform and enrich data from one or more sources. An Apply Model step allows you to apply a previously trained model to a new data set and generate predictions as a new column. You can then save the output of the data flow as a new data set for further analysis or visualization. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 58
Your client wants to implement a custom plug in from Oracle Analytics Library. Vou just finished uploading the extension to Oracle Analytics Cloud (OAC).
What action do you need to take before the extension is available for use in projects?
- A. Restart the OAC instance.
- B. Enable the plug-in from the Plug-in menu.
- C. No additional action is needed.
- D. Refresh the page.
Answer: D
Explanation:
Refreshing the page is the action that you need to take before the extension is available for use in projects after uploading it to Oracle Analytics Cloud. An extension is a custom plug-in that adds new functionality or enhances existing functionality in Oracle Analytics Cloud. You can download extensions from Oracle Analytics Library, which is a repository of extensions created by Oracle and the community. You can also create your own extensions using the Extension SDK, which is a software development kit that provides tools and resources for developing extensions. To upload an extension to Oracle Analytics Cloud, you need to go to the Console page and select Plug-ins from the menu. Then you need to click on Upload and browse for the extension file (.zip) that you want to upload. After uploading the extension, you need to refresh the page to see the extension in the list of available plug-ins. You can then enable or disable the extension as needed. The other actions, such as enabling the plug-in from the Plug-in menu, restarting the OAC instance, or taking no additional action, are not required or correct before the extension is available for use in projects. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center
NEW QUESTION # 59
Which relational database schema consists than in single-dimension tables?
- A. Leaf
- B. Star schema
- C. Sun Snowflake schema
- D. Network
Answer: A
Explanation:
Leaf is the relational database schema that consists of single-dimension tables in Oracle Analytics Cloud. A leaf schema is a type of schema that consists of one fact table and one dimension table for each dimension in the data model. A leaf schema simplifies the data model by eliminating the need for multiple tables or joins for each dimension. However, a leaf schema may result in data redundancy and inconsistency, as the same dimension values may be repeated across different tables. The other types of schemas, such as network, star, and snowflake, consist of more than one dimension table per dimension. A network schema consists of multiple fact tables and multiple dimension tables that are interconnected by foreign keys. A star schema consists of one fact table and multiple dimension tables that are directly related to the fact table by foreign keys. A snowflake schema consists of one fact table and multiple dimension tables that are related to each other by foreign keys. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 60
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. Data set created with data preparation
- 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 Thin Client Modeler
- E. Semantic model created in the OA Admin tool
- F. Hierarchy created in a proper snowflake multi-table data set
Answer: E,F
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 # 61
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 a/ways shared in form of story so everybody will see the same information.
- D. Insights is shared as a story and everybody will see their information based on permissions
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 # 62
Which two are supported on the home page of a BI Ask visualization?
- A. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project
- B. View data from multiple data sets \n a single query.
- C. saving visualizations displayed on the Oracle Analytics Cloud home page
- D. Drilling down on the visualizations.
Answer: B,D
Explanation:
Drilling down and viewing data from multiple data sets in a single query are two features that are supported on the home page of a BI Ask visualization in Oracle Analytics Cloud. BI Ask is a natural language interface that allows you to ask questions and get answers in the form of visualizations. You can drill down on the visualizations to explore the data at different levels of detail. You can also view data from multiple data sets in a single query by using keywords such as "and", "or", and "with". The other features, such as opening and saving visualizations, are not supported on the home page of a BI Ask visualization, but rather require you to open the visualization in a project or data visualization. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 63
You have been given a spreadsheet that contribute to employee attrition data to determine the most important factors that contribute to employee attrition.
What is the quickest way to start this analysis after uploading data to Oracle Analytics Cloud (OAC)?
- A. Calculate a forecast of the probability of attrition.
- B. Use the Explain option on the Attrition attribute.
- C. Perform a cluster analysis of employees.
- D. Use Outlier identification.
Answer: B
Explanation:
The quickest way to start the analysis of employee attrition data after uploading it to Oracle Analytics Cloud is to use the Explain option on the Attrition attribute. The Explain option is a feature that allows you to automatically generate insights and visualizations about an attribute or a measure in your data set. In this case, the Explain option will show you the most important factors that contribute to employee attrition, such as salary, job satisfaction, or performance rating. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 64
Which two are true about creating a story in Oracle Analytics Cloud?
- A. A project can have only one story.
- B. A story can have multiple multiple canvases.
- C. You can only export the active visual.
- D. Insight always take a snapshot data for a story.
Answer: B,C
Explanation:
A story can have multiple canvases and you can only export the active visual are two true statements about creating a story in Oracle Analytics Cloud. A canvas is a page or a slide where you can add and arrange various elements to create your story. You can add multiple canvases to your story and navigate between them using the navigation bar. You can also define notifications, filters, notes, and narration on each canvas to enhance your story and make it more interactive. You can only export the active visual when you create a story in Oracle Analytics Cloud. The active visual is the visualization that is currently selected or highlighted on your canvas. You can export the active visual as an image file (.png) by clicking on the Export icon on the toolbar and selecting Export Active Visual from the menu. You cannot export other elements or multiple visuals at once when you create a story in Oracle Analytics Cloud. The other statements, such as insights always take a snapshot data for a story and a project can have only one story, are not true about creating a story 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. Insights do not always take a snapshot data for a story, but rather use live data from your data set or project by default. You can change this behavior by enabling or disabling the Use Snapshot Data option for each insight in the properties panel. A project is a workspace where you can create and edit your data sets, visualizations, data flows, and stories using various tools and options. A project can have more than one story, as you can create multiple stories for different purposes or audiences within the same project. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 65
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