2024 Test4Cram Oracle 1z0-1041-23 Dumps and Exam Test Engine
Oracle 1z0-1041-23 DUMPS WITH REAL EXAM QUESTIONS
NEW QUESTION # 17
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. FORECAST
- B. AGO
- C. TODATE
- D. PERIODROLLING
Answer: D
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 # 18
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. All Rows
- B. Database Connection
- C. Spreadsheet
- D. Data Set Storage
Answer: B,D
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 # 19
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 merging a semantic model with the hierarchy and additional data
- C. Semantic model created in the OA Admin tool
- D. Data set with a hierarchy created in OAC Data Flow
- E. Semantic model created in the Thin Client Modeler
- F. Hierarchy created in a proper snowflake multi-table data set
Answer: C,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 # 20
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 two separate data flows for the Country and Sales data sets. Then call one data flow from another.
- B. 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.
- C. 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.
- 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,B
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 # 21
Which two can be defined on a canvas in a story in Oracle Analytics Cloud?
- A. Notes
- B. Notifications
- C. Narration
- D. Filters
Answer: B,D
Explanation:
Notifications and Filters are two elements that can be defined on a canvas in 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 define Notifications and Filters on a canvas to enhance your story and make it more interactive. Notifications 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 notifications using the Notification icon on the toolbar and customize them by changing the text, color, position, and duration of the message. Filters are criteria that limit the data that is displayed on your canvas based on certain values or ranges. You can create filters using the Filter icon on the toolbar and apply them to one or more elements on your canvas. You can also enable your audience to change the filter values interactively using the filter bar or the filter dialog box. The other elements, such as Notes and Narration, are not available on a canvas in a story in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 22
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. Perform a cluster analysis of employees.
- B. Use Outlier identification.
- C. Use the Explain option on the Attrition attribute.
- D. Calculate a forecast of the probability of attrition.
Answer: C
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 # 23
You have added a forecast to your visualization. Which three models are available for calculating the forecast7
- A. Seasonal ETS
- B. Seasonal ARIMA
- C. ARENA
- D. ETS
- E. Seasonal ARENA
- F. ARIMA
Answer: A,D,E
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 # 24
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 12c
- E. OBIEE 12g and later
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 # 25
Your client wants you to build visualizations that will help them understand their data better. Which two methods will help them achieve this?
- A. Use the explain feature to quickly identify Basic Facts, Key Drivers, Segments, and Anomalies.
- B. Add trend lines, clustering, and outliers to visualizations to offer new perspectives
- C. Create Data Flow to highlight interesting data.
- D. Create a sequence and schedule it to run on a nightly basis.
- E. Add the relevant visualizations to a canvas.
Answer: A,E
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 # 26
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. Selecting
- B. Indexing
- C. Filtering
- D. Sorting
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 # 27
Which two can be used to display as prompts in your Publisher report?
- A. List filters
- B. Lists of values
- C. Expression filters
- D. Number filters
- E. Date Filters
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 # 28
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. Expression and Date Range
- B. Date Range and Top Bottom N
- C. List and Date Range
- D. List and Range
- E. Range and Expression
Answer: A,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 # 29
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 Enterprise Edition
- B. OAC Professional Edition
- C. OAC Business Intelligence Edition
- D. OA Data Visualization Cloud
- E. OA Fusion Analytics Warehouse Edition
Answer: A
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 # 30
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. Acrobat (.pdf)
- B. AutoCad (.dxf)
- C. image (.png)
- D. Package (.dva)
- E. Word (.docx)
Answer: A,C,D
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 # 31
Which three could improve the results from Natural Language Query (NLQ) with Oracle Day By Day?
- A. Snonyms
- B. Exposing a limited number of data sets for Day By Day NLQ
- C. Curating the exposed data sets by removing duplicate or unnecessary attributes
- D. Pre-caching NLQ metadata search elements
- E. Acronyms
Answer: A,C,E
Explanation:
Natural Language Query (NLQ) is a feature of Oracle Day By Day that allows you to ask questions using natural language and get answers in the form of charts, tables, or maps. To improve the results from NLQ, you can do the following:
Define acronyms for commonly used terms or phrases in your data sets, such as KPI, ROI, or CRM. This will help NLQ understand your queries better and match them to the relevant data elements.
Define synonyms for different words that have the same meaning in your data sets, such as sales, revenue, or income. This will help NLQ handle variations in your queries and return consistent results.
Curate the exposed data sets by removing duplicate or unnecessary attributes that may confuse NLQ or reduce its performance. You can also rename or reorder attributes to make them more intuitive or user-friendly. Reference: [Oracle Day By Day User's Guide], [Oracle Day By Day User's Guide], [Oracle Day By Day User's Guide]
NEW QUESTION # 32
Which data action must you use to connect to Oracle Analytics Publisher reports?
- A. Publish Event
- B. Webhooks
- C. HTTP API
- D. Analytics Link
- E. URL Navigation
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
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 # 34
Which service do you need to subscribe for creating an Oracle Analytics Cloud (OAC) instance?
- A. Oracle Big Data Cloud Storage
- B. Oracle Analytics Cloud
- C. Oracle Autonomous Database
- D. Oracle Back Storage
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 # 35
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 Clustering
- B. Train Multi-Value
- C. Train Numeric Prediction
- D. Train Binary-Classifier
- E. Train Multi-Classifier
- F. Train Text Prediction
Answer: E
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 # 36
Identify the correct use of BI Ask.
- A. is used to search for projects
- B. 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
- 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 search for visualizations
- E. is used to power the type ahead functionality.
Answer: B
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 # 37
In which two layers can you use Oracle Analytics Cloud (OAC) to determine which values of a given data set may provide the greatest opportunity due to their outlier qualities?
- A. Create a box plot visualization of your data set.
- B. Modify the color palette to highlight unique values.
- C. Add an outlier visualization to your canvas. This will highlight data points that stand out and may justify further investigation.
- D. Use a combination of Max/Min value reference lines.
Answer: A,C
Explanation:
Oracle Analytics Cloud (OAC) provides various ways to identify and analyze outliers in your data set. Outliers are data points that deviate significantly from the rest of the data and may indicate errors, anomalies, or opportunities. Two layers that you can use to determine which values of a given data set may provide the greatest opportunity due to their outlier qualities are:
Add an outlier visualization to your canvas. This will highlight data points that stand out and may justify further investigation. An outlier visualization is a type of scatter plot that automatically detects and labels outliers in your data using machine learning algorithms. You can use the outlier visualization to explore the characteristics and causes of the outliers and compare them with the normal data points.
Create a box plot visualization of your data set. A box plot is a type of graph that shows the distribution of a numerical variable using quartiles and whiskers. A box plot can also identify outliers as data points that lie beyond the whiskers or outside a certain range. You can use the box plot to see how the outliers affect the overall distribution and variation of your data.
NEW QUESTION # 38
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 date attribute in the year-month-day format
- B. The input contains a comma (,) in the search text.
- C. The input contains the object name only as search text.
- D. The input contains an asterisk (*) in the search text (for example, 'revenue).
Answer: B
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 # 39
Which two are true about creating a story in Oracle Analytics Cloud?
- A. Insight always take a snapshot data for a story.
- B. You can only export the active visual.
- C. A story can have multiple multiple canvases.
- D. A project can have only one 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 # 40
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