Real 1z0-1041-23 Exam PDF Test Engine Practice Test Questions
Oracle 1z0-1041-23 Real 2024 Braindumps Mock Exam Dumps
Oracle 1z0-1041-23 Exam Syllabus Topics:
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NEW QUESTION # 21
Which two can be defined on a canvas in a story in Oracle Analytics Cloud?
- A. Notifications
- B. Notes
- C. Narration
- D. Filters
Answer: A,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
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. Refresh the page.
- B. No additional action is needed.
- C. Restart the OAC instance.
- D. Enable the plug-in from the Plug-in menu.
Answer: A
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
How should you determine the accuracy of a Machine Learning Model created in Oracle Analytics Cloud (OAC)?
- A. Run the Machine earning model with various filter values applied.
- B. Open the inspect dialog for a given Machine Learning model and review the p score.
- C. Open the inspect dialog for given Machine i earning model and review the F1 score.
- D. Use the Debug option in the Data Flow where the model was created. Create Data Flow that includes a histogram.
Answer: C
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 # 24
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. Create a cluster with a suitable number of groups for the specific analysis.
- C. Visualize the data by using a network chart.
- D. Create a trend line and apply OAC Advanced Analytics.
Answer: B
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 # 25
You want to create a Sales Amount by Month report for a product. The report should display sales amount from all cities in the South region with sales amount more than 1 million USD.
Which two Alters can be applied for Region and Sales Amount
- A. List filter for Region and Expression filter for Sales Amount
- B. List filter for Region and Range filter for Sales Amount
- C. List filter for Region and List filter for Sales Amount
- D. Range filter 'or Region and Date filter for sales Amount
Answer: C,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 # 26
Which two are supported on the home page of a BI Ask visualization?
- A. opening visualizations in the Oracle Analytics Cloud home page to customize and add to a project
- B. saving visualizations displayed on the Oracle Analytics Cloud home page
- C. Drilling down on the visualizations.
- D. View data from multiple data sets \n a single query.
Answer: C,D
Explanation:
Drilling down and viewing data from multiple data sets in a single query are two features that are supported on the home page of a BI Ask visualization in Oracle Analytics Cloud. BI Ask is a natural language interface that allows you to ask questions and get answers in the form of visualizations. You can drill down on the visualizations to explore the data at different levels of detail. You can also view data from multiple data sets in a single query by using keywords such as "and", "or", and "with". The other features, such as opening and saving visualizations, are not supported on the home page of a BI Ask visualization, but rather require you to open the visualization in a project or data visualization. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 27
Which technique does Data Preparation in OAC use for as SSN, credit card number, and customer number?
- A. Sentiment Analysis algorithms
- B. Cryptographic algorithms to encrypt sensitive information
- C. Obfuscation to protect sensitive information
- D. Advanced Analytics functions
Answer: C
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 # 28
The Administrator has navigated to the console page and clicked on search index. Which three items can be included in the index?
- A. Content Folder
- B. Data Models
- C. Templates
- D. Shared Folders
- E. User Folders
Answer: B,D,E
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 # 29
Which application role must you grant to the user?
- A. DV Content Author
- B. Bl Content Author
- C. Bl Dataload Author
- D. Bl Data Model Author
Answer: A
Explanation:
DV Content Author is the application role that you must grant to the user who wants to create and edit data visualizations in Oracle Analytics Cloud. Data Visualization is a feature that allows you to explore, analyze, and visualize your data using various types of charts, graphs, maps, and more. You can also apply filters, calculations, aggregations, and other functions to your data. To access Data Visualization, you need to have the DV Content Author role, which gives you the permission to create and edit data sets, projects, and data flows. The other roles, such as BI Content Author, BI Data Model Author, and BI Dataload Author, are not required for Data Visualization, but rather for other features such as Business Intelligence, Data Modeler, and Data Loader. Reference: [Oracle Help Center], [Oracle Help Center]
NEW QUESTION # 30
You have been tasked with building an analysis that requires data from two subject areas. How do you accomplish this?
- A. Create an analysis and add a second subject area for a union.
- B. Create two separate analyses and use the merge feature.
- C. Create two separate analyses and use the union feature.
- D. A subject area must be modified to include all the columns required.
Answer: A
Explanation:
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]
NEW QUESTION # 31
Which version of OBIEE is supported for migration to OAC?
- A. OBIEE 11.1.X and later
- B. You cannot migrate content from OBIEE to OAC.
- C. OBIEE 12g and later
- D. OBIEE 12c
- E. OBIEE 10g
Answer: A
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 # 32
Which role is required to edit and create a new semantic model in Oracle Analytics Cloud Enterprise Edition?
- A. BI Content Author
- B. BI Data Load Author
- C. DV Consumer Role
- D. BI Data Model Author
- E. BI RPD Model Author
Answer: D
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 # 33
You have the Bl Service Administrator application role and you are notified that a user cannot get answers when using Day by Day with Oracle Analytics Cloud Professional Edition.
They asked a question related to an existing data set and the language was English.
Which three statements are valid about investigating this issue?
- A. Inspect the data set and make sure that it is certified, indexed for searching, and English language is selected.
- B. Verify that the user is assigned the BI Content Author and DV Consumer roles.
- C. Inspect the data set and check the access control.
- D. Day by Day does not work with Oracle Analytics Cloud Professional Edition.
- E. Verify that the user has been assigned the BI Content Author and Bl Data Load Author roles.
Answer: A,C,E
Explanation:
To investigate why a user cannot get answers when using Day by Day with Oracle Analytics Cloud Professional Edition, you can do the following steps:
Verify that the user has been assigned the BI Content Author and Bl Data Load Author roles. These roles are required to access and use Day by Day features, such as asking questions using natural language or voice, or getting personalized insights based on usage patterns.
Inspect the data set and check the access control. You need to make sure that the user has sufficient permissions to view and query the data set that they asked a question about.
Inspect the data set and make sure that it is certified, indexed for searching, and English language is selected. These are some of the criteria that make a data set eligible for Day by Day queries. You can use the Manage menu in Data Sets to check and modify these settings. Reference: [Oracle Day By Day User's Guide], [Oracle Day By Day User's Guide], [Oracle Day By Day User's Guide]
NEW QUESTION # 34
Which is a supported source for registering and using Machine Learning models7
- A. Oracle Cloud Object Storage
- B. Mongo Database
- C. Autonomous Data Warehouse
- D. SQL Server Oracle Data Science
Answer: C
Explanation:
Autonomous Data Warehouse is a supported source for registering and using machine learning models in Oracle Analytics Cloud. You can use the Register Model step in a data flow to register a machine learning model from Autonomous Data Warehouse and use it in your analyses or visualizations. You can also use the Apply Model step to apply a registered model to a new data set and generate predictions. Reference: Oracle Analytics Cloud - Data Visualization User's Guide, Oracle Analytics Cloud - Data Visualization User's Guide
NEW QUESTION # 35
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.
- A. Row 1: 1000 Row 2: 2000
- B. Row 1: 1000 Row 2: 3000
- C. Row 1: 2000 Row 2: 3000
- D. Row 1; 3000 Row 2: 3000
Answer: A
Explanation:
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
NEW QUESTION # 36
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