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  • [Nov 09, 2023] 1z0-1041-23 Exam Dumps – 100% Marks In 1z0-1041-23 Exam! [Q13-Q36]

[Nov 09, 2023] 1z0-1041-23 Exam Dumps – 100% Marks In 1z0-1041-23 Exam! [Q13-Q36]

Posted on November 9, 2023 By freedumps No Comments on [Nov 09, 2023] 1z0-1041-23 Exam Dumps – 100% Marks In 1z0-1041-23 Exam! [Q13-Q36]
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[Nov 09, 2023] 1z0-1041-23 Exam Dumps – 100% Marks In 1z0-1041-23 Exam!

Exam Dumps Use Real Oracle Cloud Dumps With 72 Questions!

Oracle 1z0-1041-23 Exam Syllabus Topics:

Topic Details
Topic 1
  • Register and apply Oracle Database Machine Learning Models
  • Explain Advanced Calculations inside Expression Editor
Topic 2
  • Describe self service data preparation
  • Administer Analysis, Dashboards, and Reports
Topic 3
  • Describe using Function Shipping with ADW
  • Bursting Pixel Perfect Reports and using Data Sets
Topic 4
  • Describe the Advanced Analytics capabilities in OAC
  • Create a flexible layout of multiple visualizations to present data as a story
Topic 5
  • Use Data Flows to curate a Data Set
  • Navigate from a Data Visualization into a Publisher Report using Data Actions
Topic 6
  • Provision Users and Application Roles
  • Use OAC to present your data as a story
Topic 7
  • Using Oracle Applications Connector and EPM Connector
  • Create Prompts, Dashboards, and Calculations
Topic 8
  • Oracle Analytics Cloud Provisioning and Lifecycle
  • Describe and Create Oracle Analytic Cloud Solutions

 

QUESTION 13
The Order page of the Sales dashboard contains a report.
When a user clicks the value of the States column, the report is displayed in the click event drilled down in the same window.
How can you achieve this requirement?

 
 
 
 
To display the report in the click event drilled down in the same window, you can set the drill in place option in section properties. This option allows you to replace the original report with the drilled report in the same section of the dashboard page. You can also use breadcrumbs to navigate back to the original report. Reference: Oracle Analytics Cloud – Data Visualization User’s Guide, Oracle Analytics Cloud – Data Visualization User’s Guide

QUESTION 14
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?

 
 
 
 
 
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]

QUESTION 15
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)?

 
 
 
 
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]

QUESTION 16
Which version of OBIEE is supported for migration to OAC?

 
 
 
 
 
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

QUESTION 17
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.

 
 
 
 
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

QUESTION 18
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?

 
 
 
 
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

QUESTION 19
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?

 
 
 
 
 
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]

QUESTION 20
Which two are true about dashboard prompts?

 
 
 
 
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

QUESTION 21
Which service do you need to subscribe for creating an Oracle Analytics Cloud (OAC) instance?

 
 
 
 
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]

QUESTION 22
How should you determine the accuracy of a Machine Learning Model created in Oracle Analytics Cloud (OAC)?

 
 
 
 
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]

QUESTION 23
Which two can be defined on a canvas in a story in Oracle Analytics Cloud?

 
 
 
 
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]

QUESTION 24
Which statement is true when migrating content From Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud?

 
 
 
 
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

QUESTION 25
Which type of report is an example of the bursting feature in Pixel Perfect Reporting?

 
 
 
 
 
Government PDF forms is an example of the bursting feature in Pixel Perfect Reporting in Oracle Analytics Cloud. Pixel Perfect Reporting is a feature that allows you to create and publish highly formatted reports that meet specific layout and design requirements, such as invoices, statements, receipts, labels, and more. You can use Pixel Perfect Reporting to create reports using various tools and options, such as templates, layouts, components, expressions, parameters, and more. You can also use Pixel Perfect Reporting to publish reports using various methods and formats, such as email, printer, file system, FTP server, PDF, HTML, RTF, Excel, PowerPoint, and more. The bursting feature is a feature that allows you to distribute reports to multiple recipients based on certain criteria or conditions. You can use the bursting feature to create personalized reports for each recipient that contain only relevant information for them. You can also use the bursting feature to deliver reports to each recipient using their preferred method and format. Government PDF forms is an example of the bursting feature in Pixel Perfect Reporting in Oracle Analytics Cloud. You can use this feature to create and distribute government PDF forms that comply with specific standards and regulations for each recipient based on their location or status. The other options, such as ad hoc reporting, customized regional marketing reports, interactive data exploration, and bar codes are not examples of the bursting feature in Pixel Perfect Reporting in Oracle Analytics Cloud. These options are either not related to Pixel Perfect Reporting or describe other types of reports or features that can be created or used in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]

QUESTION 26
The Order page of the Sales dashboard contains a report.
When a user clicks the value of the States column, the report is displayed in the click event drilled down in the same window.
How can you achieve this requirement?

 
 
 
 
To display the report in the click event drilled down in the same window, you can set the drill in place option in section properties. This option allows you to replace the original report with the drilled report in the same section of the dashboard page. You can also use breadcrumbs to navigate back to the original report. Reference: Oracle Analytics Cloud – Data Visualization User’s Guide, Oracle Analytics Cloud – Data Visualization User’s Guide

QUESTION 27
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?

 
 
 
 
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]

QUESTION 28
Which two statements are true about Oracle Analytics Cloud (OAC) self-service data preparation

 
 
 
 
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

QUESTION 29
You have been tasked with building an analysis that requires data from two subject areas. How do you accomplish this?

 
 
 
 
To build an analysis that requires data from two subject areas, you can create an analysis and add a second subject area for a union. A union is an operation that combines two or more data sets with similar columns into one data set. You can use the Add Subject Area option in the Criteria tab of an analysis to add another subject area and select Union as the operation type. Reference: [Oracle Analytics Cloud – Data Visualization User’s Guide], [Oracle Analytics Cloud – Data Visualization User’s Guide]

QUESTION 30
You have created a Machine Learning model and investigated how accurate it s. How should you use it in Oracle Analytics Cloud (OAC)?

 
 
 
 
 
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]

QUESTION 31
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

 
 
 
 
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]

QUESTION 32
Which two are supported on the home page of a BI Ask visualization?

 
 
 
 
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]

QUESTION 33
You have created the product type dashboard prompt and applied it to the Sales dashboard. In the Sales dashboard, you have three pages: Sales, Order, and Revenue.
The dashboard prompt is applied to all pages, but you want it only for the Sales page.
What configuration changes are required to change the dashboard prompt range?

 
 
 
 
To change the dashboard prompt range from all pages to only the Sales page, you need to do the following steps:
In the Dashboard editor, edit the dashboard prompt properties by clicking the Edit View button on the top right corner of the prompt.
In the Scope tab, select Page as the scope option and choose Sales as the page name from the drop-down list.
Click OK to save your changes and apply the dashboard prompt only to the Sales page. Reference: Oracle Analytics Cloud – Data Visualization User’s Guide, Oracle Analytics Cloud – Data Visualization User’s Guide

QUESTION 34
How can Oracle Analytics Cloud (OAC) be used to categorize a large number of data points on a particular canvas?

 
 
 
 
Creating a cluster with a suitable number of groups for the specific analysis is a method that you can use to categorize a large number of data points on a particular canvas in Oracle Analytics Cloud. A cluster is a group of data points that have similar characteristics or patterns based on certain criteria or variables. Clustering is a machine learning technique that allows you to automatically segment your data into clusters based on various algorithms and techniques, such as k-means, hierarchical, or density-based clustering. You can create a cluster with a suitable number of groups for your specific analysis by selecting Cluster from the visualization gallery and choosing the data elements that you want to use for clustering. You can also adjust the number of groups and the clustering method in the properties panel. You can use this method to categorize a large number of data points on your canvas and discover hidden patterns or relationships in your data. The other methods, such as creating a trend line, visualizing the data by using a network chart, or using a combination of a tree diagram and a trellis visualization, are not suitable for categorizing a large number of data points on a particular canvas in Oracle Analytics Cloud. These methods are either not supported or not optimal for clustering or categorizing data in Oracle Analytics Cloud. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]

QUESTION 35
Which three statements are true about usage tracking in Oracle Analytics Cloud?

 
 
 
 
 
Usage tracking is a feature of Oracle Analytics Cloud that enables you to collect and analyze information about how users interact with your analytics content and resources. Usage tracking is available only for Enterprise Edition, as this is a more advanced and scalable edition than Professional Edition. To enable usage tracking, you need to create a new connection pool in the Oracle Analytics Developer Client tool, which is a desktop application that allows you to create and manage data models for Oracle Analytics Cloud. You also need to configure the Usage Tracking Connection Pool setting in the console, which is a web-based interface that allows you to administer Oracle Analytics Cloud instances and services. After making any change to this setting, you need to restart your Oracle Analytics Cloud instance for the change to take effect. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]

QUESTION 36
You are creating an analytics solution for a financial institution using Oracle Analytics Cloud.
One of the requirements is a workbook with a model that identifies customers with multiple potential infraudulent transactions.
Which algorithm would be the best fit for this purpose?

 
 
 
 
Anomaly Detection is the algorithm that would be the best fit for creating a model that identifies customers with multiple potential fraudulent transactions in Oracle Analytics Cloud. Anomaly Detection is a machine learning technique that allows you to detect outliers or anomalies in your data that deviate from the normal or expected behavior. You can use Anomaly Detection to create a model that scores each customer based on their transaction history and flags those who have unusually high or low values as potential fraudsters. The other algorithms, such as Support Vector Machine, Decision Tree, and Logistic Regression, are not the best fit for this purpose. Support Vector Machine is a machine learning technique that allows you to classify data into two or more categories based on a linear or nonlinear boundary. Decision Tree is a machine learning technique that allows you to create rules or conditions for splitting data into branches or nodes based on certain criteria. Logistic Regression is a machine learning technique that allows you to predict the probability of an event occurring based on one or more variables. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]

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