Oracle 1z0-1041-23 Practice Verified Answers - Pass Your Exams For Sure! [2023]
Valid Way To Pass Oracle Cloud's 1z0-1041-23 Exam
NEW QUESTION # 13
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 # 14
Which two statements are true about Oracle Analytics Cloud (OAC) self-service data preparation
- A. Joins can be created only in Oracle Analytics Cloud Data Modeler.
- B. Database data can be extended with spreadsheet data.
- C. Data flows have many built-in steps that can be used to prepare the data.
- D. The Oracle Data Integrator (ODI) tool, which is used for extract, load, and transformation, foundational component of Oracle Analytics Cloud and is essential for data preparation.
Answer: B,C
Explanation:
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
NEW QUESTION # 15
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
- A. BI RPD Model Author
- B. BI Data Load Author
- C. BI Data Model Author
- D. BI Content Author
- E. DV Consumer Role
Answer: C
Explanation:
To edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition, you need to have the BI Data Model Author role. This role allows you to access and use the Data Modeler tool, where you can create and modify semantic models that define the logical structure and relationships of your data sources. You can also use the Data Modeler to create calculations, hierarchies, variables, security filters, and other features for your semantic models. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 16
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. Enable all the Dashboard Report links from Dashboard Properties and then the Report links for each Reach report.
- B. Set the column permissions of each Dashboard page and then set the Report links for each report.
- C. Enable all the Dashboard Report links from Dashboard Properties and then the Page Report links.
- D. Enable all the Page Report links and then enable the Report links for each Reach report.
Answer: A
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 # 17
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?
- A. You can set publish page to dashboard in dashboard properties.
- B. You can set Link - Within the dashboard in report properties.
- C. It is not possible to open the drill in the report in the same window.
- D. You can set the drill in place option in section properties.
Answer: D
Explanation:
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
NEW QUESTION # 18
What does a single transaction mean in a sequence of data flows?
- A. If any flow within a sequence fails, all the changes made in the sequence remain as is.
- B. A sequence can have only one data flow to save data to multiple data storage.
- C. A data flow can load to a single data set at one point.
- D. 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.
Answer: D
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 # 19
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 # 20
Which two maps use an API key to add as Map Background?
- A. Baidu Map
- B. Google Map
- C. Tiled Web Map
- D. WMS Map
- E. Oracle Map
Answer: A,B
Explanation:
Google Map and Baidu Map are two examples of maps that use an API key to add as map background in Oracle Analytics Cloud. An API key is a unique identifier that allows you to access and use these map services in your projects. You need to obtain an API key from the map provider and configure it in Oracle Analytics Cloud before you can use these maps as background layers. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 21
What does a trend line highlight in Oracle Analytics Cloud?
- A. A line representing the average values of a measure
- B. A line representing the median values of a measure
- C. A general pattern or direction of data when viewed in relation to other dimensions
- D. A general pattern or direction of data when viewed in relation to a time series
Answer: D
Explanation:
A general pattern or direction of data when viewed in relation to a time series is what a trend line highlights in Oracle Analytics Cloud. A trend line is a feature that allows you to draw a line that best fits your data and shows the overall tendency or movement of your data over time. You can add a trend line to your visualization by selecting Trend Line from the visualization gallery and choosing the data elements that you want to display in the trend line. You can also adjust the trend line settings, such as the trend line type, color, width, and label in the properties panel. You can choose from different types of trend lines, such as linear, polynomial, logarithmic, exponential, or power. A trend line highlights a general pattern or direction of data when viewed in relation to a time series, such as increasing, decreasing, or constant. You can use a trend line to analyze how your data changes over time and identify any trends or patterns that may affect your decisions or actions. The other options, such as a line representing the median values of a measure, a general pattern or direction of data when viewed in relation to other dimensions, or a line representing the average values of a measure, are not what a trend line highlights in Oracle Analytics Cloud. These options are either not related to a trend line or describe other types of lines or statistics that can be displayed in a visualization. Reference: [Oracle Help Center], [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 22
Your client wants to implement a custom plug in from Oracle Analytics Library. Vou just finished uploading the extension to Oracle Analytics Cloud (OAC).
What action do you need to take before the extension is available for use in projects?
- A. Restart the OAC instance.
- B. No additional action is needed.
- C. Refresh the page.
- D. Enable the plug-in from the Plug-in menu.
Answer: C
Explanation:
Refreshing the page is the action that you need to take before the extension is available for use in projects after uploading it to Oracle Analytics Cloud. An extension is a custom plug-in that adds new functionality or enhances existing functionality in Oracle Analytics Cloud. You can download extensions from Oracle Analytics Library, which is a repository of extensions created by Oracle and the community. You can also create your own extensions using the Extension SDK, which is a software development kit that provides tools and resources for developing extensions. To upload an extension to Oracle Analytics Cloud, you need to go to the Console page and select Plug-ins from the menu. Then you need to click on Upload and browse for the extension file (.zip) that you want to upload. After uploading the extension, you need to refresh the page to see the extension in the list of available plug-ins. You can then enable or disable the extension as needed. The other actions, such as enabling the plug-in from the Plug-in menu, restarting the OAC instance, or taking no additional action, are not required or correct before the extension is available for use in projects. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center
NEW QUESTION # 23
You have created a line chart visualization of revenue data at the day level. The chart display the last 365 days of data.
- A. Add a trend line and change the Method value to Exponential.
- B. Add a forecast and change the Period value to 3.
- C. Add 3 Relative Time filter for the next 3 months.
- D. Add a forecast and change the Period value to 90.
- E. Add a trend line and change the Method value to polynomial.
Answer: D
Explanation:
To create a line chart visualization of revenue data at the day level that displays the last 365 days of data and the next 90 days of forecast, you need to add a forecast and change the Period value to 90. A forecast is a feature that allows you to predict future values of a measure based on historical data using various methods, such as linear, exponential, or seasonal. The Period value specifies how many future values you want to forecast. For example, you can add a forecast to your line chart and set the Period value to 90 to see the projected revenue for the next 90 days. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 24
Which technique does Data Preparation in OAC use for as SSN, credit card number, and customer number?
- A. Obfuscation to protect sensitive information
- B. Sentiment Analysis algorithms
- C. Cryptographic algorithms to encrypt sensitive information
- D. Advanced Analytics functions
Answer: A
Explanation:
Data Preparation in OAC uses obfuscation to protect sensitive information such as SSN, credit card number, and customer number. Obfuscation is a technique that replaces the original values with random or masked values that preserve the format and length of the original values. This way, you can hide or anonymize sensitive information while maintaining its usability for analysis or visualization. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 25
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. Semantic model created in the OA Admin tool
- B. Data set created with data preparation
- C. Data set merging a semantic model with the hierarchy and additional data
- D. Semantic model created in the Thin Client Modeler
- E. Hierarchy created in a proper snowflake multi-table data set
- F. Data set with a hierarchy created in OAC Data Flow
Answer: A,E
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 # 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 and loads time data.
- C. 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.
- 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: C
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 client wants to implement a custom plug in from Oracle Analytics Library. Vou just finished uploading the extension to Oracle Analytics Cloud (OAC).
What action do you need to take before the extension is available for use in projects?
- A. Restart the OAC instance.
- B. No additional action is needed.
- C. Refresh the page.
- D. Enable the plug-in from the Plug-in menu.
Answer: C
Explanation:
Refreshing the page is the action that you need to take before the extension is available for use in projects after uploading it to Oracle Analytics Cloud. An extension is a custom plug-in that adds new functionality or enhances existing functionality in Oracle Analytics Cloud. You can download extensions from Oracle Analytics Library, which is a repository of extensions created by Oracle and the community. You can also create your own extensions using the Extension SDK, which is a software development kit that provides tools and resources for developing extensions. To upload an extension to Oracle Analytics Cloud, you need to go to the Console page and select Plug-ins from the menu. Then you need to click on Upload and browse for the extension file (.zip) that you want to upload. After uploading the extension, you need to refresh the page to see the extension in the list of available plug-ins. You can then enable or disable the extension as needed. The other actions, such as enabling the plug-in from the Plug-in menu, restarting the OAC instance, or taking no additional action, are not required or correct before the extension is available for use in projects. Reference: Oracle Help Center, Oracle Help Center, Oracle Help Center
NEW QUESTION # 28
How should you use a machine learning model within a canvas of an Oracle Analytics Cloud project?
- A. Create a scenario using the required model.
- B. Create a data sequence.
- C. Use the machine learning model visualization.
- D. Create a custom calculation.
Answer: A
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 # 29
You are building a model that will be used for a sales report.
Which two statements are the about hierarchy and levels?
- A. Each level is based on one or multiple columns.
- B. When defining a level. Key Columns must be the same as Display Columns.
- C. Skipped levels and unbalanced hierarchies can be enabled for all the dimension tables.
- D. Hierarchies enable drilling in reports.
- E. A hierarchy shows relationships among a group of columns in a fact table.
- F. A dimension table must have only one hierarchy.
- G. A hierarchy must have one to many relationships between attributes.
Answer: A,D
Explanation:
Two statements that are true about hierarchy and levels are:
Each level is based on one or multiple columns. A level is a logical grouping of one or more columns that represent a certain granularity or detail of data. For example, a level can be based on a single column, such as Year, or multiple columns, such as Year and Quarter.
Hierarchies enable drilling in reports. A hierarchy is a logical structure that defines the relationships among levels and shows how data can be aggregated or disaggregated from one level to another. For example, a hierarchy can show how Year, Quarter, Month, and Day are related in a time dimension. Hierarchies allow users to drill down or drill up in reports to see different levels of detail or summary of data. Reference: [Oracle Analytics Cloud - Data Visualization User's Guide], [Oracle Analytics Cloud - Data Visualization User's Guide]
NEW QUESTION # 30
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Oracle 1z0-1041-23 Pre-Exam Practice Tests | ExamTorrent: https://www.examtorrent.com/1z0-1041-23-valid-vce-dumps.html
1z0-1041-23 practice test questions, answers, explanations: https://drive.google.com/open?id=19g79CYwe-I3OSpDG2JtAEuUzOBs6LJ6v
