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NEW QUESTION # 31
Which of these steps is REQUIRED in a Data Flow to create a new curated data set?
- A. Merge Columns
- B. Filter
- C. Aggregate
- D. Add Data
Answer: D
Explanation:
The step that is required in a data flow to create a new curated data set is Add Data. Add Data is the first step in any data flow that allows you to select one or more data sources to use in your data flow. You can choose from various types of data sources, such as databases, files, applications, or existing data sets. You can also specify how to join or union multiple data sources if needed. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 32
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 Range filter for Sales Amount
- B. Range filter 'or Region and Date filter for sales Amount
- C. List filter for Region and List filter for Sales Amount
- D. List filter for Region and Expression filter for Sales Amount
Answer: B,C
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 # 33
What does a single transaction mean in a sequence of data flows?
- A. A data flow can load to a single data set at one point.
- B. If any flow within a sequence fails, all the changes made in the sequence remain as is.
- C. 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.
- D. A sequence can have only one data flow to save data to multiple data storage.
Answer: C
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 # 34
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. Date Range and Top Bottom N
- B. List and Range
- C. List and Date Range
- D. Expression and Date Range
- E. Range and Expression
Answer: C,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 # 35
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. You can only migrate an Oracle BI Enterprise Edition 12c Data Model to Oracle Analytics cloud. Catalog migration is not allowed.
- C. Both the Oracle BI Enterprise Edition 12c Data Model and the Catalog must be migrated to Oracle Analytics Cloud. They cannot be migrated independently.
- 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 # 36
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 custom calculation.
- C. Create a scenario using the required model.
- D. Create a data sequence.
Answer: C
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 # 37
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. image (.png)
- B. AutoCad (.dxf)
- C. Package (.dva)
- D. Word (.docx)
- E. Acrobat (.pdf)
Answer: A,C,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 # 38
Which two can be used to display as prompts in your Publisher report?
- A. Date Filters
- B. List filters
- C. Expression filters
- D. Number filters
- E. Lists of values
Answer: C,D
Explanation:
Two types of filters that can be used to display as prompts in your Publisher report are:
Number filters. A number filter allows you to specify a numeric value or a range of numeric values for a column using operators such as equals, not equals, greater than, less than, or between. For example, you can use a number filter to prompt users to enter a minimum or maximum sales amount for your report.
Expression filters. An expression filter allows you to specify a logical expression for a column using operators such as AND, OR, NOT, or parentheses. For example, you can use an expression filter to prompt users to enter a combination of conditions for your report, such as region equals South AND sales amount greater than 1 million USD. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 39
Your client wants you to build visualizations that will help them understand their data better. Which two methods will help them achieve this?
- A. Add trend lines, clustering, and outliers to visualizations to offer new perspectives
- B. Use the explain feature to quickly identify Basic Facts, Key Drivers, Segments, and Anomalies.
- C. Add the relevant visualizations to a canvas.
- D. Create Data Flow to highlight interesting data.
- E. Create a sequence and schedule it to run on a nightly basis.
Answer: B,C
Explanation:
Using the explain feature and adding the relevant visualizations to a canvas are two methods that will help you build visualizations that will help your client understand their data better in Oracle Analytics Cloud. The explain feature is a feature that allows you to automatically generate insights and recommendations for your data based on various factors, such as Basic Facts, Key Drivers, Segments, and Anomalies. Basic Facts are summary statistics that describe your data, such as count, sum, average, minimum, and maximum. Key Drivers are variables that have a strong influence or correlation with your data, such as product category, customer segment, or region. Segments are groups of data points that have similar characteristics or patterns, such as high-value customers, low-performing products, or seasonal trends. Anomalies are data points that deviate significantly from the normal or expected behavior of your data, such as outliers, spikes, or drops. You can use the explain feature to quickly identify these factors and create visualizations that highlight them. You can also add the relevant visualizations to a canvas, which is a workspace where you can arrange and display your visualizations in a meaningful way. You can choose from various types of visualizations, such as charts, graphs, maps, tables, and more. You can also customize your visualizations by applying filters, calculations, aggregations, and other functions to your data. You can use these methods to create visualizations that will help your client understand their data better and discover new insights. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 40
You have added a forecast to your visualization. Which three models are available for calculating the forecast7
- A. Seasonal ETS
- B. Seasonal ARIMA
- C. Seasonal ARENA
- D. ARIMA
- E. ARENA
- F. ETS
Answer: A,C,F
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 # 41
Which two are supported on the home page of a BI Ask visualization?
- A. Drilling down on the visualizations.
- B. View data from multiple data sets \n a single query.
- C. saving visualizations displayed on the Oracle Analytics Cloud home page
- D. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project
Answer: A,B
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 # 42
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 pdf.
- B. To share the story with consumers on the Home Page.
- 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 # 43
Oracle Analytics Cloud (OAC) offers several visualization options for presenting query results Which two methods do you use to invoke the best visualization in OAC?
- A. Select the desired data elements from the Data Elements pane and drag them to the Best visualization zone in the Explore pane.
- B. Select the Best Visualization option from the project's Canvas Settings drop-down menu.
- C. Change the project's properties to "Always use Best Visualization
- D. Select the desired data elements from the Data Elements pane and drag them to a blank area of the canvas.
- E. Select the desired data elements from the Data Elements pane, and then right-click and select Create Best Visualization from the drop-down menu.
Answer: A,E
Explanation:
Selecting the desired data elements from the Data Elements pane and then right-clicking and selecting Create Best Visualization from the drop-down menu and selecting the desired data elements from the Data Elements pane and dragging them to the Best visualization zone in the Explore pane are two methods that you can use to invoke the best visualization in Oracle Analytics Cloud. The best visualization is a feature that automatically selects the most suitable type of visualization for your data based on various factors, such as the number and type of data elements, the distribution and range of values, and the analytical purpose. You can use these two methods to create the best visualization for your data without having to manually choose the visualization type from the gallery. The other methods, such as changing the project's properties, selecting the Best Visualization option from the project's Canvas Settings drop-down menu, and dragging the data elements to a blank area of the canvas, are not valid ways to invoke the best visualization in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 44
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 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.
- B. 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.
- C. Create two separate data flows for the Country and Sales data sets. Then call one data flow from another.
- D. 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.
Answer: A,C
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 # 45
Your client has created new custom map layer. How can this map layer be exposed in a project?
- A. Create a new project. Add a map visualization, change the layer property to new. click upload. Select the geojson file to upload.
- B. Navigate to the Console. Click Maps. From the Map Layers tab, upload the geojson file.
- C. Create a new project. Add a map visualization. Change the layer property to new. Click upload. Select the Json file to upload.
- D. Navigate to the Console. Click Maps. On the Map Layers tab, upload the xml file.
Answer: D
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 # 46
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. AGO
- D. TODATE
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 # 47
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. Use Outlier identification.
- C. Calculate a forecast of the probability of attrition.
- 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 # 48
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. Inspect the data set and check the access control.
- 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. Verify that the user has been assigned the BI Content Author and Bl Data Load Author roles.
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 # 49
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. Repository variables and session variables can be used in prompt default values.
- D. Prompts can be developed using only a single column.
Answer: A,C
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 # 50
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. Sorting
- B. Indexing
- C. Filtering
- D. Selecting
Answer: C
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 # 51
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