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NEW QUESTION # 40
Which two are true about creating a story in Oracle Analytics Cloud?
- A. A story can have multiple multiple canvases.
- B. A project can have only one story.
- C. Insight always take a snapshot data for a story.
- D. You can only export the active visual.
Answer: A,D
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 # 41
The Administrator has navigated to the console page and clicked on search index. Which three items can be included in the index?
- A. Shared Folders
- B. User Folders
- C. Data Models
- D. Content Folder
- E. Templates
Answer: A,B,C
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 # 42
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. Use the Explain option on the Attrition attribute.
- B. Calculate a forecast of the probability of attrition.
- C. Use Outlier identification.
- D. Perform a cluster analysis of employees.
Answer: A
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 # 43
Data How can take one or more data sets and integrate them to produce curated sets of dat a. After applying all the joins, transformations, and filters, you need to save the data. What are the two options to save data in Data Flow?
- A. Database Connection
- B. Data Set Storage
- C. Spreadsheet
- D. All Rows
Answer: A,B
Explanation:
After creating a data flow, you need to save the output data to a destination. You have two options to save data in Data Flow:
Data Set Storage: This option allows you to save the output data as a data set in Oracle Analytics Cloud. You can choose the name, description, and format of the data set. You can also specify whether to overwrite or append the existing data set.
Database Connection: This option allows you to save the output data to an external database that you have connected to Oracle Analytics Cloud. You can choose the connection, schema, table name, and mode of the database destination. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 44
Which two steps do you perform to create a Relative Time filter?
- A. Select Date Range as the filter type.
- B. Select Relative Time as the filter type.
- C. Select Relative Time as the filter type and set the Relative To property.
- D. Add a date column to the Filter bar.
Answer: B,C
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 # 45
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
- A. BI RPD Model Author
- B. BI Content Author
- C. DV Consumer Role
- D. BI Data Model Author
- E. BI Data Load Author
Answer: D
Explanation:
To edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition, you need to have the BI Data Model Author role. This role allows you to access and use the Data Modeler tool, where you can create and modify semantic models that define the logical structure and relationships of your data sources. You can also use the Data Modeler to create calculations, hierarchies, variables, security filters, and other features for your semantic models. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 46
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. No additional action is needed.
- B. Restart the OAC instance.
- C. Enable the plug-in from the Plug-in menu.
- 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 # 47
You are building a model that will be used for a sales report.
Which two statements are the about hierarchy and levels?
- A. A dimension table must have only one hierarchy.
- B. A hierarchy shows relationships among a group of columns in a fact table.
- C. When defining a level. Key Columns must be the same as Display Columns.
- D. Hierarchies enable drilling in reports.
- E. Skipped levels and unbalanced hierarchies can be enabled for all the dimension tables.
- F. Each level is based on one or multiple columns.
- G. A hierarchy must have one to many relationships between attributes.
Answer: D,F
Explanation:
Two statements that are true about hierarchy and levels are:
Each level is based on one or multiple columns. A level is a logical grouping of one or more columns that represent a certain granularity or detail of data. For example, a level can be based on a single column, such as Year, or multiple columns, such as Year and Quarter.
Hierarchies enable drilling in reports. A hierarchy is a logical structure that defines the relationships among levels and shows how data can be aggregated or disaggregated from one level to another. For example, a hierarchy can show how Year, Quarter, Month, and Day are related in a time dimension. Hierarchies allow users to drill down or drill up in reports to see different levels of detail or summary of data. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 48
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 Professional Edition
- B. OAC Enterprise Edition
- C. OA Fusion Analytics Warehouse Edition
- D. OA Data Visualization Cloud
- E. OAC Business Intelligence Edition
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 # 49
How should you determine the accuracy of a Machine Learning Model created in Oracle Analytics Cloud (OAC)?
- A. Open the inspect dialog for given Machine i earning model and review the F1 score.
- B. Use the Debug option in the Data Flow where the model was created. Create Data Flow that includes a histogram.
- C. Run the Machine earning model with various filter values applied.
- D. Open the inspect dialog for a given Machine Learning model and review the p score.
Answer: A
Explanation:
To determine the accuracy of a machine learning model created in Oracle Analytics Cloud, you can open the inspect dialog for the given machine learning model and review the F1 score. The F1 score is a metric that measures the balance between precision and recall of a machine learning model, especially for binary classification problems. The F1 score ranges from 0 to 1, where 1 means perfect accuracy and 0 means no accuracy. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 50
Which two are supported on the home page of a BI Ask visualization?
- A. View data from multiple data sets \n a single query.
- B. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project
- C. Drilling down on the visualizations.
- D. saving visualizations displayed on the Oracle Analytics Cloud home page
Answer: A,C
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 # 51
Identify the correct use of BI Ask.
- A. is used to search for projects
- B. is used to search for visualizations
- C. is used to enter column names into the search hold, select them, and quickly see them added to a project
- D. is used to power the type ahead functionality.
- E. 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
Answer: E
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 # 52
In Oracle Analytics Cloud (OAC), you can quickly search for saved objects.
However, if your input or search criteria is not formed correctly, it will not return any results. What could be the problem with your input?
- A. The input contains the object name only as search text.
- B. The input contains the date attribute in the year-month-day format
- C. The input contains a comma (,) in the search text.
- D. The input contains an asterisk (*) in the search text (for example, 'revenue).
Answer: C
Explanation:
The input containing a comma (,) in the search text is a possible problem that could prevent you from getting any results when searching for saved objects in Oracle Analytics Cloud. The comma is a special character that is used to separate multiple search terms or phrases. If you use a comma in your search text, you need to enclose the text in double quotation marks ("") to indicate that it is a single term or phrase. For example, if you want to search for an object named "Sales, Revenue, and Profit", you need to enter it as ""Sales, Revenue, and Profit"" in the search box. The other options are not problems with the input, as they are valid ways to search for saved objects. You can use an asterisk () as a wildcard character to match any number of characters in your search text (for example, "revenue"). You can use the object name only as search text, as this will return all objects that match or contain the name. You can use the date attribute in the year-month-day format, as this will return all objects that were created or modified on that date. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 53
What does a fact table use to reference dimension tables?
- A. Master key
- B. Foreign key
- C. Dimension attribute
- D. Primary key
- E. Aggregate type
Answer: B
Explanation:
A fact table uses a foreign key to reference dimension tables in a relational database schema. A fact table is a table that contains numerical measures or facts that are related to a business process or event, such as sales, orders, or transactions. A dimension table is a table that contains descriptive attributes or dimensions that provide context to the facts, such as product, customer, time, or location. A foreign key is a column or a set of columns in a table that refers to the primary key of another table. A primary key is a column or a set of columns in a table that uniquely identifies each row in the table. A foreign key establishes a relationship between the fact table and the dimension tables, and allows you to join them for analysis. The other options, such as dimension attribute, aggregate type, and master key, are not used by a fact table to reference dimension tables. A dimension attribute is a column in a dimension table that contains a specific level or detail of the dimension, such as product name, customer name, or month. An aggregate type is a property of a measure column that specifies how the measure should be aggregated or calculated, such as sum, average, count, or minimum. A master key is not a valid term in relational database schema. Reference: Oracle Help Center, Oracle Help Center
NEW QUESTION # 54
You are creating a Data Model for a sales order and do not have the Time dimension table created in the database.
You decide to use the Time Dimension create feature of Oracle Analytics Cloud (OAC) What are the tasks performed by the Time Dimension wizard execution?
- A. The Time Dimension wizard creates the time dimension table in the database, loads time data, and creates the time dimension in the Data Model.
- B. The Time Dimension wizard creates the Time dimension table in the database, load time data, and create the time dimension and hierarchy in the Data Model.
- C. The Time Dimension wizard creates the Time dimension table in the database and loads time data.
- D. The Time Dimension wizard generated the DDL query for the Time dimension table and inserts SQL for data load, which you need to run on your respective database schema.
Answer: B
Explanation:
The Time Dimension wizard is a feature of Oracle Analytics Cloud that allows you to create a time dimension table in your database without having to write any SQL code. The time dimension table is a table that contains information about time periods, such as year, quarter, month, week, day, hour, and so on. You can use the time dimension table to perform time-based analysis on your data, such as comparing sales across different quarters or calculating year-to-date revenue. The Time Dimension wizard performs three tasks when you execute it:
It creates the time dimension table in your database based on the parameters that you specify, such as the name of the table, the start date and end date of the time range, the level of granularity (such as day or hour), and the format of the date values.
It loads time data into the time dimension table based on the parameters that you specify, such as the number of rows to insert per batch, the commit interval, and the connection details of your database.
It creates the time dimension and hierarchy in your data model based on the parameters that you specify, such as the name of the dimension, the name of the hierarchy, and the levels and attributes of the hierarchy. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 55
Which service do you need to subscribe for creating an Oracle Analytics Cloud (OAC) instance?
- A. Oracle Back Storage
- B. Oracle Big Data Cloud Storage
- C. Oracle Analytics Cloud
- D. Oracle Autonomous Database
Answer: C
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 # 56
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 by exporting to MS Excel.
- B. To share the story on Day by Day with their decision makers.
- C. To share the story with consumers on the Home Page.
- D. To share the story by exporting to pdf.
Answer: B
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 # 57
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 # 58
In Oracle Analyt.es Cloud (OAC), an Enterprise BI application database has many dimensions. Which option helps you to visualize on a subset of the original data?
- A. Indexing
- B. Filtering
- C. Selecting
- D. Sorting
Answer: B
Explanation:
Filtering is the option that helps you to visualize on a subset of the original data in Oracle Analytics Cloud. You can use filters to limit the data that is displayed in your visualizations based on certain criteria. You can apply filters to dimensions, measures, or attributes in your data set. The other options, such as Sorting, Indexing, and Selecting, do not help you to visualize on a subset of the original data, but rather change the order, structure, or appearance of the data. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 59
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 Range
- B. List and Date Range
- C. Expression and Date Range
- D. Date Range and Top Bottom N
- E. Range and Expression
Answer: B,C
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 # 60
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