(2024) PASS 1z0-1041-23 exam with Oracle 1z0-1041-23 Real Exam Questions
Real exam questions are provided for Oracle Cloud tests, which can make sure you 100% pass
Oracle 1z0-1041-23 Exam Syllabus Topics:
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NEW QUESTION # 25
You created a new Sales dashboard with three pages: Sales, Revenue, and Orders.
You need to enable a different set of report links at the page level and set different report links for different analyses.
How do you first enable the report links for all the dashboard pages, and then set the different report links for the different reports?
- A. Set the column permissions of each Dashboard page and then set the Report links for each report.
- B. Enable all the Page Report links and then enable the Report links for each Reach report.
- C. Enable all the Dashboard Report links from Dashboard Properties and then the Report links for each Reach report.
- D. Enable all the Dashboard Report links from Dashboard Properties and then the Page Report links.
Answer: C
Explanation:
To enable a different set of report links at the page level and set different report links for different analyses, you need to do the following steps:
Enable all the Dashboard Report links from Dashboard Properties. This will allow you to use report links such as drill down, drill up, drill across, or navigate to other dashboards or web pages.
Set the Report links for each Reach report. This will allow you to customize which report links are available for each analysis on each dashboard page. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 26
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 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.
- 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 creates the time dimension table in the database, loads time data, and creates the time dimension in the Data Model.
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 # 27
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. Word (.docx)
- B. image (.png)
- C. Acrobat (.pdf)
- D. Package (.dva)
- E. AutoCad (.dxf)
Answer: B,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 # 28
You have been given a spreadsheet that contribute to employee attrition data to determine the most important factors that contribute to employee attrition.
What is the quickest way to start this analysis after uploading data to Oracle Analytics Cloud (OAC)?
- A. Calculate a forecast of the probability of attrition.
- B. Use the Explain option on the Attrition attribute.
- C. Perform a cluster analysis of employees.
- D. Use Outlier identification.
Answer: B
Explanation:
The quickest way to start the analysis of employee attrition data after uploading it to Oracle Analytics Cloud is to use the Explain option on the Attrition attribute. The Explain option is a feature that allows you to automatically generate insights and visualizations about an attribute or a measure in your data set. In this case, the Explain option will show you the most important factors that contribute to employee attrition, such as salary, job satisfaction, or performance rating. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 29
How should you determine the accuracy of a Machine Learning Model created in Oracle Analytics Cloud (OAC)?
- A. Open the inspect dialog for a given Machine Learning model and review the p score.
- B. Open the inspect dialog for given Machine i earning model and review the F1 score.
- C. Run the Machine earning model with various filter values applied.
- D. Use the Debug option in the Data Flow where the model was created. Create Data Flow that includes a histogram.
Answer: B
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 # 30
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. TODATE
- C. FORECAST
- D. AGO
Answer: A
Explanation:
To compute sales for a period that starts at a quarter before and ends at a quarter after the current quarter, you need to use the PERIODROLLING function. This function allows you to calculate the aggregated value of a measure over a rolling time period relative to the current time level. For example, PERIODROLLING("Sales", -1, 1, "Quarter") will return the sum of sales for the current quarter, the previous quarter, and the next quarter. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 31
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 then right-click and select Create Best Visualization from the drop-down menu.
- B. Select the desired data elements from the Data Elements pane and drag them to a blank area of the canvas.
- C. Change the project's properties to "Always use Best Visualization
- D. Select the Best Visualization option from the project's Canvas Settings drop-down menu.
- E. Select the desired data elements from the Data Elements pane and drag them to the Best visualization zone in the Explore pane.
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 # 32
Oracle Applications Connector supports Oracle Fusion Applications Cloud.
Which is valid about Oracle Applications Connector?
- A. When creating a connection, enter the Business Intelligence URL for Oracle Fusion Applications
- B. It can be used with the Thin Client Modeler.
- C. The Active User's Credentials option in the Create Oracle Application Connection dialog box.
- D. When abating a connection, enter the URL for Oracle Fusion Applications.
- E. It cannot connect to on-premises Oracle BI Enterprise Edition.
- F. It cannot be used with Oracle Applications Connector.
Answer: D
Explanation:
Oracle Applications Connector supports Oracle Fusion Applications Cloud, which is a suite of cloud applications that provide enterprise resource planning, human capital management, customer relationship management, and other functionalities. To create a connection to Oracle Fusion Applications Cloud using Oracle Applications Connector, you need to enter the URL for Oracle Fusion Applications in the Create Oracle Application Connection dialog box. The other options are not valid about Oracle Applications Connector. You do not need to enter the Business Intelligence URL for Oracle Fusion Applications, as this is not required for the connection. The Active User's Credentials option is not available in the Create Oracle Application Connection dialog box, as this is only applicable for some other types of connections. Oracle Applications Connector can be used with Oracle Applications Connector, as this is its purpose. It can also connect to on-premises Oracle BI Enterprise Edition, as this is one of the supported sources. It cannot be used with the Thin Client Modeler, as this is a separate tool that does not require a connection. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 33
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. Range filter 'or Region and Date filter for sales Amount
- B. List filter for Region and Range filter for Sales Amount
- C. List filter for Region and Expression filter for Sales Amount
- D. List filter for Region and List filter for Sales Amount
Answer: A,D
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 # 34
You are creating a data model for a healthcare provider Patient information is contained in related tables for contact information, primary physician, insurance information, and billing details.
For management and personal information reasons, the project owner requires that these table not be merged.
What is the correct relational topology to model the patient dimension?
- A. Start
- B. Distributed tree
- C. Balance tree
- D. Universe
Answer: C
Explanation:
Balance tree is the correct relational topology to model the patient dimension for a healthcare provider in Oracle Analytics Cloud. A balance tree is a type of schema that consists of one or more dimension tables that are related to each other by foreign keys. A balance tree schema allows you to model a dimension that has multiple attributes that are organized into different levels of detail. For example, you can model a patient dimension that has attributes such as contact information, primary physician, insurance information, and billing details. Each attribute can be stored in a separate table that is linked to a parent table by a foreign key. A balance tree schema enables you to perform drill-down analysis on your dimension without having to merge all the tables into one. The other types of schemas, such as distributed tree, universe, and star, are not suitable for modeling a patient dimension with multiple related tables. A distributed tree schema consists of one or more dimension tables that are not related to each other by foreign keys. A universe schema consists of one or more fact tables that are related to each other by foreign keys. A star schema consists of one fact table that is related to multiple dimension tables by foreign keys. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 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 migrate a snapshot from Oracle BI Enterprise Edition 12c to Oracle Analytics Cloud.
- 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 only migrate an Oracle BI Enterprise Edition 12c Data Model to Oracle Analytics cloud. Catalog migration is not allowed.
Answer: B
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
The Administrator has navigated to the console page and clicked on search index. Which three items can be included in the index?
- A. User Folders
- B. Data Models
- C. Content Folder
- D. Shared Folders
- E. Templates
Answer: A,B,D
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 # 37
Which of these steps is REQUIRED in a Data Flow to create a new curated data set?
- A. Merge Columns
- B. Aggregate
- C. Add Data
- D. Filter
Answer: C
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 # 38
You have created a Machine Learning model and investigated how accurate it \s. How should you use it in Oracle Analytics Cloud (OAC)?
- A. Use a data flow with a Commit Model step and save as a new data set.
- B. Use Data Flow with an Apply Model step and save as a new data set.
- C. Create Data Flow with a cumulative value prediction.
- D. Create a custom calculation based on a related formula.
- E. Connect to the model as a new project.
Answer: B
Explanation:
After creating and testing a machine learning model, you can use it to make predictions on new data sets using a data flow. A data flow is a sequence of steps that transform and enrich data from one or more sources. An Apply Model step allows you to apply a previously trained model to a new data set and generate predictions as a new column. You can then save the output of the data flow as a new data set for further analysis or visualization. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 39
Which two are true about creating a story in Oracle Analytics Cloud?
- A. A project can have only one story.
- B. Insight always take a snapshot data for a story.
- C. A story can have multiple multiple canvases.
- D. You can only export the active visual.
Answer: C,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 # 40
How can Oracle Analytics Cloud (OAC) be used to categorize a large number of data points on a particular canvas?
- A. Use a combination of a tree diagram and a trellis visualization.
- B. Visualize the data by using a network chart.
- C. Create a trend line and apply OAC Advanced Analytics.
- D. Create a cluster with a suitable number of groups for the specific analysis.
Answer: D
Explanation:
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]
NEW QUESTION # 41
Using Narrate insight, you can take a snapshot of any moments of any information that you see in a visualization and keep track of any moments of sudden realization while you work with the data.
You can then share these with other users. Which statement is true about sharing with Insights?
- A. By default all users cannot share Insights.
- B. Insights is a/ways shared in form of story so everybody will see the same information.
- C. Insights is shared as a story and everybody will see their information based on permissions
- D. It is not possible to share Insights with other users.
Answer: B,C
Explanation:
Insights is always shared in form of story so everybody will see the same information and insights is shared as a story and everybody will see their information based on permissions are two true statements about sharing with insights in Oracle Analytics Cloud. Insights are messages that appear on your canvas to inform or alert your audience about something important or relevant to your story, such as a key insight, a recommendation, or a call to action. You can create insights using the Insight icon on the toolbar and customize them by changing the text, color, position, and duration of the message. You can also enable or disable the Use Snapshot Data option for each insight in the properties panel. When you share your insights with other users, you share them as part of your story, which is a feature that allows you to create and present a narrative based on your data using various elements, such as visualizations, text boxes, images, videos, and more. You can share your story with other users by exporting it as a file (.png, .pdf, or .dva) or by sending it via email or chat. When you share your insights as part of your story, everybody will see the same information that you see in your insights, regardless of whether you use live data or snapshot data for your insights. However, everybody will also see their information based on their permissions for accessing the data sets or projects that are associated with your story. The other statements, such as it is not possible to share insights with other users and by default all users cannot share insights, are not true about sharing with insights in Oracle Analytics Cloud. You can share insights with other users as part of your story using various methods, such as exporting, emailing, or chatting. You can also control who can share insights by changing the permissions of your story in the catalog. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 42
Which three could improve the results from Natural Language Query (NLQ) with Oracle Day By Day?
- A. Pre-caching NLQ metadata search elements
- B. Snonyms
- C. Curating the exposed data sets by removing duplicate or unnecessary attributes
- D. Exposing a limited number of data sets for Day By Day NLQ
- E. Acronyms
Answer: B,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 # 43
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. Sorting
- C. Indexing
- D. Filtering
Answer: D
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 # 44
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. Data Set Storage
- C. Database Connection
- D. Spreadsheet
Answer: B,C
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 # 45
How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?
- A. Create a custom calculation.
- B. Use the machine learning model visualization.
- C. Create a data sequence.
- D. Create a scenario using the required model.
Answer: D
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 # 46
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